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Munshi M, Kahkoska AR, Neumiller JJ, Alexopoulos AS, Allen NA, Cukierman-Yaffe T, Huang ES, Lee SJ, Lipska KJ, McCarthy LM, Meneilly GS, Pandya N, Pratley RE, Rodriguez-Mañas L, Sinclair AJ, Sy SL, Toschi E, Weinstock RS. Realigning diabetes regimens in older adults: a 4S Pathway to guide simplification and deprescribing strategies. Lancet Diabetes Endocrinol 2025; 13:427-437. [PMID: 39978368 DOI: 10.1016/s2213-8587(24)00372-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Revised: 11/27/2024] [Accepted: 11/28/2024] [Indexed: 02/22/2025]
Abstract
Treating older people with diabetes is challenging due to multiple medical comorbidities that might interfere with patients' ability to perform self-care. Most diabetes guidelines focus on improving glycaemia through addition of medications, but few address strategies to reduce medication burden for older adults-a concept known as deprescribing. Strategies for deprescribing might include stopping high-risk medications, decreasing the dose, or substituting for less harmful agents. Accordingly, glycaemic management strategies for older adults with type 1 and type 2 diabetes not responding to their current regimen require an understanding of how and when to realign therapy to meet patient's current needs, which represents a major clinical practice gap. With the gap in guidance on how to deprescribe or otherwise adjust therapy in older adults with diabetes in mind, the International Geriatric Diabetes Society, an organisation dedicated to improving care of older individuals with diabetes, convened a Deprescribing Consensus Initiative in May, 2023, to discuss Optimization of diabetes treatment regimens in older adults: the role of de-prescribing, de-intensification and simplification of regimens. The recommendations from this group initiative are discussed and described in this Review.
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Affiliation(s)
- Medha Munshi
- Joslin Diabetes Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joshua J Neumiller
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | | | - Nancy A Allen
- College of Nursing, University of Utah, Salt Lake City, UT, USA
| | - Tali Cukierman-Yaffe
- Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Herczeg Institute on Aging, Tel-Aviv University, Tel Aviv, Israel
| | - Elbert S Huang
- Department of Medicine, The University of Chicago, Chicago, Il, USA
| | - Sei J Lee
- Division of Geriatrics, University of San Francisco, CA, USA
| | - Kasia J Lipska
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Lisa M McCarthy
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada; Institute for Better Health, Trillium Health Partners, Mississauga, Canada
| | - Graydon S Meneilly
- Division of Geriatric Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Naushira Pandya
- Department of Geriatrics, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA
| | | | | | - Alan J Sinclair
- Foundation for Diabetes Research in Older People, King's College London, London, UK
| | - Sarah L Sy
- Division of Geriatric Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Elena Toschi
- Joslin Diabetes Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ruth S Weinstock
- Department of Medicine, Upstate Medical University, Syracuse, NY, USA
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Thorpe LE, Meng Y, Conderino S, Adhikari S, Bendik S, Weiner M, Rabin C, Lee M, Uguru J, Divers J, George A, Dodson JA. COVID-related healthcare disruptions among older adults with multiple chronic conditions in New York City. BMC Health Serv Res 2025; 25:340. [PMID: 40045268 PMCID: PMC11881239 DOI: 10.1186/s12913-024-12114-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2024] [Accepted: 12/13/2024] [Indexed: 03/09/2025] Open
Abstract
BACKGROUND Results from national surveys indicate that many older adults reported delayed medical care during the acute phase of the COVID-19 pandemic, yet few studies have used objective data to characterize healthcare utilization among vulnerable older adults in that period. In this study, we characterized healthcare utilization during the acute pandemic phase (March 7-October 6, 2020) and examined risk factors for total disruption of care among older adults with multiple chronic conditions (MCC) in New York City. METHODS This retrospective cohort study used electronic health record data from NYC patients aged ≥ 50 years with a diagnosis of either hypertension or diabetes and at least one other chronic condition seen within six months prior to pandemic onset and after the acute pandemic period at one of several major academic medical centers contributing to the NYC INSIGHT clinical research network (n=276,383). We characterized patients by baseline (pre-pandemic) health status using cutoffs of systolic blood pressure (SBP) < 140mmHg and hemoglobin A1C (HbA1c) < 8.0% as: controlled (below both cutoffs), moderately uncontrolled (below one), or poorly controlled (above both, SBP > 160, HbA1C > 9.0%). Patients were then assessed for total disruption versus some care during shutdown using recommended care schedules per baseline health status. We identified independent predictors for total disruption using logistic regression, including age, sex, race/ethnicity, baseline health status, neighborhood poverty, COVID infection, number of chronic conditions, and quartile of prior healthcare visits. RESULTS Among patients, 52.9% were categorized as controlled at baseline, 31.4% moderately uncontrolled, and 15.7% poorly controlled. Patients with poor baseline control were more likely to be older, female, non-white and from higher poverty neighborhoods than controlled patients (P < 0.001). Having fewer pre-pandemic healthcare visits was associated with total disruption during the acute pandemic period (adjusted odds ratio [aOR], 8.61, 95% Confidence Interval [CI], 8.30-8.93, comparing lowest to highest quartile). Other predictors of total disruption included self-reported Asian race, and older age. CONCLUSIONS This study identified patient groups at elevated risk for care disruption. Targeted outreach strategies during crises using prior healthcare utilization patterns and disease management measures from disease registries may improve care continuity.
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Affiliation(s)
- Lorna E Thorpe
- Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue 9th Floor, New York, NY, 10016, USA.
| | - Yuchen Meng
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Sarah Conderino
- Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue 9th Floor, New York, NY, 10016, USA
| | - Samrachana Adhikari
- Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue 9th Floor, New York, NY, 10016, USA
| | - Stefanie Bendik
- Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue 9th Floor, New York, NY, 10016, USA
| | - Mark Weiner
- INSIGHT Clinical Research Network, New York, NY, USA
| | - Cathy Rabin
- INSIGHT Clinical Research Network, New York, NY, USA
| | | | | | - Jasmin Divers
- Department of Foundations of Medicine, NYU Long Island School of Medicine, New York, NY, USA
| | | | - John A Dodson
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
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Tanenbaum ML, Peterson I, Uratsu C, Chen MW, Gilliam L, Karter AJ, Gopalan A, Grant RW, Iturralde E. A Qualitative Study of Older Adult Perspectives on Continuous Glucose Monitoring for Type 2 Diabetes. J Gen Intern Med 2025:10.1007/s11606-025-09458-x. [PMID: 40038224 DOI: 10.1007/s11606-025-09458-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Accepted: 02/19/2025] [Indexed: 03/06/2025]
Abstract
BACKGROUND Continuous glucose monitoring (CGM) may improve self-management and reduce hypoglycemia risk among individuals with diabetes. However, little is known about how older adults with insulin-treated type 2 diabetes (T2D) experience and incorporate this technology into their daily lives. OBJECTIVE To explore experiences, preferences, barriers, and questions related to using CGM among older adults with insulin-treated T2D with and without experience using CGM. DESIGN Qualitative focus group study. PARTICIPANTS English-speaking older adults with T2D in a large, integrated healthcare delivery system. Groups included either experienced CGM users or adults who had not previously used CGM. Recruitment efforts prioritized individuals ≥ 75 years of age. APPROACH Transcripts were analyzed using the Framework Method to identify perspectives on CGM. Specific thematic categories were hypoglycemia-related benefits, general benefits, usefulness and ease of use concerns, and CGM questions. KEY RESULTS The study included 26 participants: 17 (65%) were experienced CGM users, 58% were female; median age was 74 (range 62-88) years. Participants perceived and anticipated these CGM benefits: informing behavior changes, reducing in-the-moment hypoglycemia risk, improving awareness and decision-making, and strengthening clinician collaboration. Perceived CGM barriers included challenges with wearability and reliability, burdens to others, distrust of technology, sensory and learning challenges, insufficient clinician support or engagement, and access and payer hurdles. Despite these downsides, experienced users perceived CGM as a worthwhile alternative to daily fingerstick glucose checks. Non-users were able to formulate many usability questions, providing a snapshot of informational needs for this age group. CONCLUSIONS Older adults with insulin-treated T2D experienced or anticipated benefits from CGM for diabetes management. Findings indicate a need for tailored education and self-management support for older adults to learn and gain maximal benefit from this technology.
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Affiliation(s)
- Molly L Tanenbaum
- Division of Endocrinology, Gerontology and Metabolism, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA.
| | - Ilana Peterson
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA
| | - Connie Uratsu
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA
| | - Minnie W Chen
- Department of Endocrinology, Kaiser Permanente South San Francisco Medical Center, South San Francisco, CA, USA
| | - Lisa Gilliam
- Department of Endocrinology, Kaiser Permanente South San Francisco Medical Center, South San Francisco, CA, USA
| | - Andrew J Karter
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA
| | - Anjali Gopalan
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA
| | - Richard W Grant
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA
| | - Esti Iturralde
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA
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ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Napoli N, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Stanton RC, Bannuru RR. 13. Older Adults: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S266-S282. [PMID: 39651977 PMCID: PMC11635042 DOI: 10.2337/dc25-s013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Lipska KJ, Gilliam LK, Lee C, Liu JY, Liu VX, Moffet HH, Parker MM, Zapata H, Karter AJ. Risk of Infection in Older Adults With Type 2 Diabetes With Relaxed Glycemic Control. Diabetes Care 2024; 47:2258-2265. [PMID: 39436715 PMCID: PMC11655405 DOI: 10.2337/dc24-1612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 09/29/2024] [Indexed: 10/25/2024]
Abstract
OBJECTIVE To compare the risk of hospitalization for infection among patients who achieve intensive versus relaxed glycemic control. RESEARCH DESIGN AND METHODS This retrospective cohort study included adults age ≥65 years with type 2 diabetes from an integrated health care delivery system. Negative binomial models were used to estimate incidence rates and relative risk (RR) of hospitalization for infections (respiratory; genitourinary; skin, soft tissue, and bone; and sepsis), comparing two levels of relaxed (hemoglobin A1c [HbA1c] 7% to <8% and 8% to <9%) with intensive (HbA1c 6% to <7%) glycemic control from 1 January 2019 to 1 March 2020. RESULTS Among 103,242 older patients (48.5% with HbA1c 6% to <7%, 35.3% with HbA1c 7% to <8%, and 16.1% with HbA1c 8% to <9%), the rate of hospitalization for infections was 51.3 per 1,000 person-years. Compared with HbA1c 6% to <7%, unadjusted risk of hospitalization for infections was significantly elevated among patients with HbA1c 8% to <9% (RR 1.25; 95% CI 1.13, 1.39) but not among patients with HbA1c 7% to <8% (RR 0.99; 95% CI 0.91, 1.08), and the difference became nonsignificant after adjustment. Across categories of infections, the adjusted RR of hospitalization was significantly higher among patients with HbA1c 8% to <9% only for skin, soft tissue, and bone infection (RR 1.33; 95% CI 1.05, 1.69). CONCLUSIONS Older patients with type 2 diabetes who achieve relaxed glycemic control levels endorsed by clinical guidelines are not at significantly increased risk of hospitalization for most infections, but HbA1c 8% to <9% is associated with an increased risk of hospitalization for skin, soft tissue, and bone infections.
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Affiliation(s)
- Kasia J. Lipska
- Section of Endocrinology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| | - Lisa K. Gilliam
- Diabetes Program, Endocrinology and Internal Medicine, Kaiser Permanente Northern California, South San Francisco Medical Center, South San Francisco, CA
| | - Catherine Lee
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA
| | - Jennifer Y. Liu
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA
| | - Vincent X. Liu
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA
| | - Howard H. Moffet
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA
| | - Melissa M. Parker
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA
| | - Heidi Zapata
- Section of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| | - Andrew J. Karter
- Section of Endocrinology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
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Tan LF, Merchant RA. Prevalence of tight glycemic control based on frailty status and associated factors in community-dwelling older adults. Postgrad Med J 2024; 100:845-850. [PMID: 38924725 DOI: 10.1093/postmj/qgae077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 04/01/2024] [Accepted: 05/30/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND Tight control of type 2 diabetes (T2DM) in frail older adults has shown to be associated with adverse outcomes. The objective of this study is to determine the prevalence of tight glycemic control based on underlying frailty status and its association with functional and cognitive measures in community-dwelling older adults. METHODOLOGY Ancillary study of the Singapore Population Health Studies on older adults aged ≥65 years with T2DM. Tight glycemic control cut-offs were based on the 2019 Endocrine Society guideline using HbA1c target range based on a patient's overall health status measured by the FRAIL scale. Data on basic demographics, frailty, cognitive, and functional statuses were collected. Multivariable regression was used to assess potential factors associated with tight glycemic control. RESULTS Of 172 community-dwelling older adults with diabetes mellitus and HbA1c done, frail (65%) and pre-frail (64.4%) participants were more likely to have tight glycemic control than robust participants (31.6%, P < 0.001). In multi-variate analysis, frailty (OR 6.43, 95% CI 1.08-38.1, P = 0.041), better cognition (OR 1.15, 95% CI 1.02-1.32, P = 0.028), and multi-morbidity (OR 7.36, 95% CI 1.07-50.4, P = 0.042) were found to be significantly associated with increased odds of tight glycemic control. CONCLUSION Tight glycemic control was highly prevalent in frail and pre-frail older adults, especially in those with multi-morbidity and better cognition. Future prospective longitudinal studies are required to evaluate effectiveness of frailty screening in making treatment decisions and long-term outcomes. Key messages What is already known on this topic: There is growing recognition that glycemic targets should be adjusted based on health or frailty status. However, there is no consensus on how health status or frailty should be defined when determining glycemic control targets. What this study adds: Our study found that tight glycemic control was highly prevalent in frail and pre-frail older adults. Our findings highlight the importance of assessing for tight glycemic control based on frailty status and further work is needed to aid implementation of screening and intervention policies to avoid the attendant harms of tight glycemic control.
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Affiliation(s)
- Li Feng Tan
- Healthy Ageing Programme, Alexandra Hospital, National University Health System, Singapore 119228, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Reshma Aziz Merchant
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
- Division of Geriatric Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore 119228, Singapore
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Kotecha P, Chen W, Donahoo WT, Jaffee M, Bian J, Guo J. Continuous glucose monitoring and all-cause mortality in insulin-using population with diabetes and cognitive impairment. Diabetes Obes Metab 2024; 26:4795-4798. [PMID: 39134460 DOI: 10.1111/dom.15842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 07/09/2024] [Accepted: 07/15/2024] [Indexed: 09/19/2024]
Affiliation(s)
- Pareeta Kotecha
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Weihan Chen
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - William T Donahoo
- Division of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Michael Jaffee
- Department of Neurology, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Jingchuan Guo
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
- Center for Drug Evaluation and Safety, University of Florida, Gainesville, Florida, USA
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Skains RM, Koehl JL, Aldeen A, Carpenter CR, Gettel CJ, Goldberg EM, Hwang U, Kocher KE, Southerland LT, Goyal P, Berdahl CT, Venkatesh AK, Lin MP. Geriatric Emergency Medication Safety Recommendations (GEMS-Rx): Modified Delphi Development of a High-Risk Prescription List for Older Emergency Department Patients. Ann Emerg Med 2024; 84:274-284. [PMID: 38483427 PMCID: PMC11343681 DOI: 10.1016/j.annemergmed.2024.01.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 01/22/2024] [Accepted: 01/25/2024] [Indexed: 04/14/2024]
Abstract
STUDY OBJECTIVE Half of emergency department (ED) patients aged 65 years and older are discharged with new prescriptions. Potentially inappropriate prescriptions contribute to adverse drug events. Our objective was to develop an evidence- and consensus-based list of high-risk prescriptions to avoid among older ED patients. METHODS We performed a modified, 3-round Delphi process that included 10 ED physician experts in geriatrics or quality measurement and 1 pharmacist. Consensus members reviewed all 35 medication categories from the 2019 American Geriatrics Society Beers Criteria and ranked each on a 5-point Likert scale (5=highest) for overall priority for avoidance (Round 1), risk of short-term adverse events and avoidability (Round 2), and reasonable medical indications for high-risk medication use (Round 3). RESULTS For each round, questionnaire response rates were 91%, 82%, and 64%, respectively. After Round 1, benzodiazepines (mean, 4.60 [SD, 0.70]), skeletal muscle relaxants (4.60 [0.70]), barbiturates (4.30 [1.06]), first-generation antipsychotics (4.20 [0.63]) and first-generation antihistamines (3.70 [1.49]) were prioritized for avoidance. In Rounds 2 and 3, hypnotic "Z" drugs (4.29 [1.11]), metoclopramide (3.89 [0.93]), and sulfonylureas (4.14 [1.07]) were prioritized for avoidability, despite lower concern for short-term adverse events. All 8 medication classes were included in the final list. Reasonable indications for prescribing high-risk medications included seizure disorders, benzodiazepine/ethanol withdrawal, end of life, severe generalized anxiety, allergic reactions, gastroparesis, and prescription refill. CONCLUSION We present the first expert consensus-based list of high-risk prescriptions for older ED patients (GEMS-Rx) to improve safety among older ED patients.
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Affiliation(s)
- Rachel M Skains
- Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL; Geriatric Research, Education and Clinical Center, Birmingham VAMC, Birmingham, AL
| | - Jennifer L Koehl
- Department of Pharmacy, Massachusetts General Hospital, Boston, MA
| | | | | | - Cameron J Gettel
- Department of Emergency Medicine, Yale University, New Haven, CT
| | | | - Ula Hwang
- Department of Emergency Medicine, Yale University, New Haven, CT; Geriatric Research, Education and Clinical Center, James J. Peters VAMC, Bronx, NY
| | - Keith E Kocher
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI
| | | | - Pawan Goyal
- Quality Division, American College of Emergency Physicians, Irving, TX
| | - Carl T Berdahl
- Department of Emergency Medicine, Cedars Sinai Medical Center, Los Angeles, CA
| | | | - Michelle P Lin
- Department of Emergency Medicine, Stanford University, Palo Alto, CA.
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Johansson KS, Jimenez-Solem E, Petersen TS, Christensen MB. Rational Pharmacotherapy in Type 2 Diabetes: Danish Data From 2002 to 2020 on Mortality, Diabetes- Related Outcomes, Adverse Events, and Medication Expenses. Diabetes Care 2024; 47:1656-1663. [PMID: 38995637 DOI: 10.2337/dc24-0619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/20/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVE Developments in pharmacotherapy and management of type 2 diabetes may have shifted the balance of treatment benefits versus harms and costs over the past decades. This study aimed to describe the trends in this balance. RESEARCH DESIGN AND METHODS We followed the Danish population with type 2 diabetes between 2002 and 2020, analyzing their medication use in relation to treatment benefits (such as mortality and diabetes-related outcomes), adverse events, and medication costs. Using multivariate analyses, we adjusted for potential confounders, including age, sex, and socioeconomic status. RESULTS The study included 461,805 individuals. From 2002 to 2020, the median age increased from 66 to 68 years, and the mean number of comorbidities increased from 5.2 to 8.8. The overall incidence of cardiovascular, renal, and other important adverse clinical outcomes decreased. Similarly, the rate of some adverse events, such as gastric bleeding, hypoglycemia, and falls declined, whereas the incidence of electrolyte imbalances and ketoacidosis increased. The average per-patient cost was reduced by 8%, but total medication expenses increased by 148% due to an expanding population size, lowered costs of most cardiovascular medications, and increasing costs for glucose-lowering drugs. CONCLUSIONS Advancements in type 2 diabetes management have led to reduced risk of both diabetes-related outcomes and treatment harms, while maintaining relatively stable per-patient medication expenses. Although these trends are multifactorial, they suggest more rational pharmacotherapy. Still, increased risk of certain adverse events, along with increasing costs for glucose-lowering medications, underscores the need for ongoing vigilance and risk-benefit analysis.
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Affiliation(s)
- Karl Sebastian Johansson
- Department of Clinical Pharmacology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Espen Jimenez-Solem
- Department of Clinical Pharmacology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Phase IV Unit (Phase4CPH), Department of Clinical Pharmacology and Center for Clinical Research and Prevention, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Tonny Studsgaard Petersen
- Department of Clinical Pharmacology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel Bring Christensen
- Department of Clinical Pharmacology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Metabolic Research, Copenhagen University Hospital, Herlev and Gentofte, Copenhagen, Denmark
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
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Zhang J, Kanchi R, Conderino S, Levy NK, Adhikari S, Blecker S, Davis N, Divers J, Rabin C, Weiner M, Thorpe L, Dodson JA. Decline in use of high-risk agents for tight glucose control among older adults with diabetes in New York City: 2017-2022. J Am Geriatr Soc 2024; 72:2721-2729. [PMID: 38980267 PMCID: PMC11368607 DOI: 10.1111/jgs.19060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 05/25/2024] [Accepted: 05/31/2024] [Indexed: 07/10/2024]
Abstract
BACKGROUND This study aimed to examine the prevalence of inappropriate tight glycemic control in older adults with type 2 diabetes and other chronic conditions in New York City, and to identify factors associated with this practice. METHODS We conducted a retrospective cohort study using the INSIGHT Clinical Research Network. The study population included 11,728 and 15,196 older adults in New York City (age ≥ 75 years) with a diagnosis of type 2 diabetes, and at least one other chronic medical condition, in 2017 and 2022, respectively. The main outcome of interest was inappropriate tight glycemic control, defined as HbA1c <7.0% (<53 mmol/mol) with prescription of at least one high-risk agent (insulin or insulin secretagogue). RESULTS The proportion of older adults with inappropriate tight glycemic control decreased by nearly 19% over a five-year period (19.4% in 2017 to 15.8% in 2022). There was a significant decrease in insulin (27.8% in 2017; 24.3% in 2022) and sulfonylurea (29.4% in 2017; 21.7% in 2022) medication prescription, and increase in use of GLP-1 agonists (1.8% in 2017; 11.4% in 2022) and SGLT-2 inhibitors (5.8% in 2017; 25.1% in 2022), among the total population. Factors associated with inappropriate tight glycemic control in 2022 included history of heart failure (adjusted odds ratio [aOR] 1.38), chronic kidney disease ([aOR] 1.93), colorectal cancer ([aOR] 1.38), acute myocardial infarction ([aOR] 1.28), "other" ([aOR] 0.72) or "unknown" ([aOR] 0.72) race, and a point increase in BMI ([aOR] 0.98). CONCLUSIONS We found an encouraging trend toward less use of high-risk medication strategies for older adults with type 2 diabetes and multiple chronic conditions. However, one in six patients in 2022 still had inappropriate tight glycemic control, indicating a need for continued efforts to optimize diabetes management in this population.
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Affiliation(s)
- Jeff Zhang
- Department of Population Health, NYU Grossman School of Medicine
| | - Rania Kanchi
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine
| | - Sarah Conderino
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine
| | - Natalie K Levy
- Division of General Internal Medicine and Clinical Innovation, Department of Medicine, NYU Grossman School of Medicine
| | | | - Saul Blecker
- Department of Population Health, NYU Grossman School of Medicine
| | - Nichola Davis
- Department of Population Health, NYU Grossman School of Medicine
| | - Jasmin Divers
- Department of Foundations of Medicine, NYU Grossman Long Island School of Medicine
| | - Catherine Rabin
- INSIGHT Clinical Research Network, Department of Population Health Sciences, Weill Cornell Medicine
| | - Mark Weiner
- INSIGHT Clinical Research Network, Department of Population Health Sciences, Weill Cornell Medicine
| | - Lorna Thorpe
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine
| | - John A. Dodson
- Division of Healthcare Delivery Science, Department of Population Health, NYU Grossman School of Medicine
- Leon H. Charney Division of Cardiology, Department of Medicine, NYU Grossman School of Medicine
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11
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Cristello Sarteau A, Ercolino G, Muthukkumar R, Fruik A, Mayer-Davis EJ, Kahkoska AR. Nutritional Status, Dietary Intake, and Nutrition-Related Interventions Among Older Adults With Type 1 Diabetes: A Systematic Review and Call for More Evidence Toward Clinical Guidelines. Diabetes Care 2024; 47:1468-1488. [PMID: 38687466 PMCID: PMC11362123 DOI: 10.2337/dci23-0099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/08/2024] [Indexed: 05/02/2024]
Abstract
There is an emerging population of older adults (≥65 years) living with type 1 diabetes. Optimizing health through nutrition during this life stage is challenged by multiple and ongoing changes in diabetes management, comorbidities, and lifestyle factors. There is a need to understand nutritional status, dietary intake, and nutrition-related interventions that may maximize well-being throughout the life span in type 1 diabetes, in addition to nutrition recommendations from clinical guidelines and consensus reports. Three reviewers used Cochrane guidelines to screen original research (January 1993-2023) and guidelines (2012-2023) in two databases (MEDLINE and CENTRAL) to characterize nutrition evidence in this population. We found limited original research explicitly focused on nutrition and diet in adults ≥65 years of age with type 1 diabetes (six experimental studies, five observational studies) and meta-analyses/reviews (one scoping review), since in the majority of analyses individuals ≥65 years of age were combined with those age ≥18 years, with diverse diabetes durations, and also individuals with type 1 and type 2 diabetes were combined. Further, existing clinical guidelines (n = 10) lacked specificity and evidence to guide clinical practice and self-management behaviors in this population. From a scientific perspective, little is known about nutrition and diet among older adults with type 1 diabetes, including baseline nutrition status, dietary intake and eating behaviors, and the impact of nutrition interventions on key clinical and patient-oriented outcomes. This likely reflects the population's recent emergence and unique considerations. Addressing these gaps is foundational to developing evidence-based nutrition practices and guidelines for older adults living with type 1 diabetes.
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Affiliation(s)
- Angelica Cristello Sarteau
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Gabriella Ercolino
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Rashmi Muthukkumar
- Division of Endocrinology and Metabolism, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Angela Fruik
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Elizabeth J. Mayer-Davis
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Anna R. Kahkoska
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Division of Endocrinology and Metabolism, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Center for Aging and Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
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12
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Moran C, Whitmer RA, Dove Z, Lacy ME, Soh Y, Tsai A, Quesenberry CP, Karter AJ, Adams AS, Gilsanz P. HbA 1c variability associated with dementia risk in people with type 2 diabetes. Alzheimers Dement 2024; 20:5561-5569. [PMID: 38959429 PMCID: PMC11350038 DOI: 10.1002/alz.14066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/20/2024] [Accepted: 05/21/2024] [Indexed: 07/05/2024]
Abstract
INTRODUCTION Although poor glycemic control is associated with dementia, it is unknown if variability in glycemic control, even in those with optimal glycosylated hemoglobin A1c (HbA1c) levels, increases dementia risk. METHODS Among 171,964 people with type 2 diabetes, we evaluated the hazard of dementia association with long-term HbA1c variability using five operationalizations, including standard deviation (SD), adjusting for demographics and comorbidities. RESULTS The mean baseline age was 61 years (48% women). Greater HbA1c SD was associated with greater dementia hazard (adjusted hazard ratio = 1.15 [95% confidence interval: 1.12, 1.17]). In stratified analyses, higher HbA1c SD quintiles were associated with greater dementia hazard among those with a mean HbA1c < 6% (P = 0.0004) or 6% to 8% (P < 0.0001) but not among those with mean HbA1c ≥ 8% (P = 0.42). DISCUSSION Greater HbA1c variability is associated with greater dementia risk, even among those with HbA1c concentrations at ideal clinical targets. These findings add to the importance and clinical impact of recommendations to minimize glycemic variability. HIGHLIGHTS We observed a cohort of 171,964 people with type 2 diabetes (mean age 61 years). This cohort was based in Northern California between 1996 and 2018. We examined the association between glycosylated hemoglobin A1c (HbA1c) variability and dementia risk. Greater HbA1c variability was associated with greater dementia hazard. This was most evident among those with normal-low mean HbA1c concentrations.
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Affiliation(s)
- Chris Moran
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Department of Geriatric MedicinePeninsula HealthMorningtonVictoriaAustralia
- Department of HomeAcute and Community, Alfred HealthCaulfieldVictoriaAustralia
- National Centre for Healthy AgeingFrankstonVictoriaAustralia
| | - Rachel A. Whitmer
- Division of EpidemiologyDepartment of Public Health SciencesUniversity of California, Medical Sciences 1‐CDavisCaliforniaUSA
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
| | - Zoe Dove
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
- California Northstate University, College of MedicineElk GroveCaliforniaUSA
| | - Mary E. Lacy
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
- Department of EpidemiologyCollege of Public HealthUniversity of KentuckyLexingtonKentuckyUSA
| | - Yenee Soh
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
| | - Ai‐Lin Tsai
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
| | | | | | - Alyce S. Adams
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
- Department of Epidemiology and Population Health and Health PolicySchool of MedicineStanford UniversityStanfordCaliforniaUSA
| | - Paola Gilsanz
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
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13
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Hung A, Wilson LE, Smith VA, Pavon JM, Sloan CE, Hastings SN, Maciejewski ML. Impact of comprehensive medication reviews on potentially inappropriate medication discontinuation in Medicare beneficiaries. J Am Geriatr Soc 2024; 72:2347-2358. [PMID: 38826070 PMCID: PMC11323205 DOI: 10.1111/jgs.19013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 03/12/2024] [Accepted: 05/04/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND The use of potentially inappropriate medications (PIMs) is associated with increased risk of hospitalizations and emergency room visits and varies by racial and ethnic subgroups. Medicare's nationwide medication therapy management (MTM) program requires that Part D plans offer an annual comprehensive medication review (CMR) to all beneficiaries who qualify, and provides a platform to reduce PIM use. The objective of this study was to assess the impact of CMR on PIM discontinuation in Medicare beneficiaries and whether this differed by race or ethnicity. METHODS Retrospective cohort study of community-dwelling Medicare Part D beneficiaries ≥66 years of age who were eligible for MTM from 2013 to 2019 based on 5% Medicare fee-for-service claims data linked to the 100% MTM data file. Among those using a PIM, MTM-eligible CMR recipients were matched to non-recipients via sequential stratification. The probability of PIM discontinuation was estimated using regression models that pooled yearly subcohorts accounting for within-beneficiary correlations. The most common PIMs that were discontinued after CMR were reported. RESULTS We matched 24,368 CMR recipients to 24,368 CMR non-recipients during the observation period. Median age was 74-75, 35% were males, most were White beneficiaries (86%-87%), and the median number of PIMs was 1. In adjusted analyses, CMR receipt was positively associated with PIM discontinuation (adjusted relative risk [aRR]: 1.26, 95% CI: 1.20-1.32). There was no evidence of differential impact of CMR by race or ethnicity. The PIMs most commonly discontinued after CMR were glimepiride, zolpidem, digoxin, amitriptyline, and nitrofurantoin. CONCLUSIONS Among Medicare beneficiaries who are using a PIM, CMR receipt was associated with PIM discontinuation, suggesting that greater CMR use could facilitate PIM reduction for all racial and ethnic groups.
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Affiliation(s)
- Anna Hung
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Duke-Margolis Center for Health Policy, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC
| | - Lauren E. Wilson
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Valerie A. Smith
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC
- Division of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Juliessa M. Pavon
- Division of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, NC
- Center for the Study of Aging and Human Development, Duke University, Durham, NC
- Geriatrics Research, Education, and Clinical Center, Durham Veterans Affairs Health Care System, Durham, NC
| | - Caroline E. Sloan
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Duke-Margolis Center for Health Policy, Durham, NC
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Susan N. Hastings
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC
- Division of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, NC
- Center for the Study of Aging and Human Development, Duke University, Durham, NC
- Geriatrics Research, Education, and Clinical Center, Durham Veterans Affairs Health Care System, Durham, NC
| | - Matthew L. Maciejewski
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Duke-Margolis Center for Health Policy, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC
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14
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Moon JS, Kang S, Choi JH, Lee KA, Moon JH, Chon S, Kim DJ, Kim HJ, Seo JA, Kim MK, Lim JH, Song YJ, Yang YS, Kim JH, Lee YB, Noh J, Hur KY, Park JS, Rhee SY, Kim HJ, Kim HM, Ko JH, Kim NH, Kim CH, Ahn J, Oh TJ, Kim SK, Kim J, Han E, Jin SM, Bae J, Jeon E, Kim JM, Kang SM, Park JH, Yun JS, Cha BS, Moon MK, Lee BW. 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association. Diabetes Metab J 2024; 48:546-708. [PMID: 39091005 PMCID: PMC11307112 DOI: 10.4093/dmj.2024.0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 06/20/2024] [Indexed: 08/04/2024] Open
Affiliation(s)
- Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Shinae Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong Hyun Lim
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - Yoon Ju Song
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Suk Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hae Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chong Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Soo-Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Jaehyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jaehyun Bae
- Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, College of Medicine, Hallym University, Seoul, Korea
| | - Eonju Jeon
- Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Ji Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Seon Mee Kang
- Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jung Hwan Park
- Division of Endocrinology & Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Bong-Soo Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Byung-Wan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
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15
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Putallaz P, Seematter-Bagnoud L, Draganski B, Rouaud O, Krief H, Büla CJ. Diabetes mellitus in older persons with neurocognitive disorder: overtreatment prevalence and associated structural brain MRI findings. BMC Geriatr 2024; 24:427. [PMID: 38745127 PMCID: PMC11095019 DOI: 10.1186/s12877-024-05025-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/29/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Tight diabetes control is often applied in older persons with neurocognitive disorder resulting in increased hypoglycemic episodes but little is known about the pattern of brain injury in these overtreated patients. This study aims to: (a) quantify the prevalence of diabetes overtreatment in cognitively impaired older adults in a clinical population followed in an academic memory clinic (b) identify risk factors contributing to overtreatment; and (c) explore the association between diabetes overtreatment and specific brain region volume changes. METHODS Retrospective study of older patients with type 2 diabetes and cognitive impairment who were diagnosed in a memory clinic from 2013 to 2020. Patients were classified into vulnerable and dependent according to their health profile. Overtreatment was defined when glycated hemoglobin was under 7% for vulnerable and 7.6% for dependent patients. Characteristics associated to overtreatment were examined in multivariable analysis. Grey matter volume in defined brain regions was measured from MRI using voxel-based morphometry and compared in patients over- vs. adequately treated. RESULTS Among 161 patients included (median age 76.8 years, range 60.8-93.3 years, 32.9% women), 29.8% were considered as adequately treated, 54.0% as overtreated, and 16.2% as undertreated. In multivariable analyses, no association was observed between diabetes overtreatment and age or the severity of cognitive impairment. Among patients with neuroimaging data (N = 71), associations between overtreatment and grey matter loss were observed in several brain regions. Specifically, significant reductions in grey matter were found in the caudate (adj β coeff: -0.217, 95%CI: [-0.416 to -0.018], p = .033), the precentral gyri (adj βcoeff:-0.277, 95%CI: [-0.482 to -0.073], p = .009), the superior frontal gyri (adj βcoeff: -0.244, 95%CI: [-0.458 to -0.030], p = .026), the calcarine cortex (adj βcoeff:-0.193, 95%CI: [-0.386 to -0.001], p = .049), the superior occipital gyri (adj βcoeff: -0.291, 95%CI: [-0.521 to -0.061], p = .014) and the inferior occipital gyri (adj βcoeff: -0.236, 95%CI: [-0.456 to - 0.015], p = .036). CONCLUSION A significant proportion of older patients with diabetes and neurocognitive disorder were subjected to excessively intensive treatment. The association identified with volume loss in several specific brain regions highlights the need to further investigate the potential cerebral damages associated with overtreatment and related hypoglycemia in larger sample.
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Affiliation(s)
- Pauline Putallaz
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland.
- Service of geriatric medicine, Hospital of Valais, Avenue de la Fusion 27, Martigny, 1920, Switzerland.
| | - Laurence Seematter-Bagnoud
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
- Department of Epidemiology and Public Health (Unisanté), Lausanne, 1011, Switzerland
| | - Bogdan Draganski
- Laboratory of Research in Neuroimaging (LREN) - Department of Clinical Neuroscience - CHUV, University of Lausanne, Lausanne, 1011, Switzerland
| | - Olivier Rouaud
- Leenaards Memory Center, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
| | - Hélène Krief
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
| | - Christophe J Büla
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
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16
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Hung A, Kim YH, Pavon JM. Deprescribing in older adults with polypharmacy. BMJ 2024; 385:e074892. [PMID: 38719530 DOI: 10.1136/bmj-2023-074892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/15/2024]
Abstract
Polypharmacy is common in older adults and is associated with adverse drug events, cognitive and functional impairment, increased healthcare costs, and increased risk of frailty, falls, hospitalizations, and mortality. Many barriers exist to deprescribing, but increased efforts have been made to develop and implement deprescribing interventions that overcome them. This narrative review describes intervention components and summarizes findings from published randomized controlled trials that have tested deprescribing interventions in older adults with polypharmacy, as well as reports on ongoing trials, guidelines, and resources that can be used to facilitate deprescribing. Most interventions were medication reviews in primary care settings, and many contained components such as shared decision making and/or a focus on patient care priorities, training for healthcare professionals, patient facing education materials, and involvement of family members, representing great heterogeneity in interventions addressing polypharmacy in older adults. Just over half of study interventions were found to perform better than usual care in at least one of their primary outcomes, and most study interventions were assessed over 12 months or less.
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Affiliation(s)
- Anna Hung
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Duke-Margolis Center for Health Policy, Durham, NC, USA
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC, USA
- Co-first authors
| | - Yoon Hie Kim
- Division of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Co-first authors
| | - Juliessa M Pavon
- Division of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Geriatrics Research, Education, and Clinical Center (GRECC) Durham VA Health Care System, Durham, NC, USA
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17
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Pilla SJ, Jalalzai R, Tang O, Schoenborn NL, Boyd CM, Bancks MP, Mathioudakis NN, Maruthur NM. A National Survey of Physicians' Views on the Importance and Implementation of Deintensifying Diabetes Medications. J Gen Intern Med 2024; 39:992-1001. [PMID: 37940754 PMCID: PMC11074084 DOI: 10.1007/s11606-023-08506-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/20/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Guidelines recommend deintensifying hypoglycemia-causing medications for older adults with diabetes whose hemoglobin A1c is below their individualized target, but this rarely occurs in practice. OBJECTIVE To understand physicians' decision-making around deintensifying diabetes treatment. DESIGN National physician survey. PARTICIPANTS US physicians in general medicine, geriatrics, or endocrinology providing outpatient diabetes care. MAIN MEASURES Physicians rated the importance of deintensifying diabetes medications for older adults with type 2 diabetes, and of switching medication classes, on 5-point Likert scales. They reported the frequency of these actions for their patients, and listed important barriers and facilitators. We evaluated the independent association between physicians' professional and practice characteristics and the importance of deintensifying and switching diabetes medications using multivariable ordered logistic regression models. KEY RESULTS There were 445 eligible respondents (response rate 37.5%). The majority of physicians viewed deintensifying (80%) and switching (92%) diabetes medications as important or very important to the care of older adults. Despite this, one-third of physicians reported deintensifying diabetes medications rarely or never. While most physicians recognized multiple reasons to deintensify, two-thirds of physicians reported barriers of short-term hyperglycemia and patient reluctance to change medications or allow higher glucose levels. In multivariable models, geriatricians rated deintensification as more important compared to other specialties (p=0.027), and endocrinologists rated switching as more important compared to other specialties (p<0.006). Physicians with fewer years in practice rated higher importance of deintensification (p<0.001) and switching (p=0.003). CONCLUSIONS While most US physicians viewed deintensifying and switching diabetes medications as important for the care of older adults, they deintensified infrequently. Physicians had ambivalence about the relative benefits and harms of deintensification and viewed it as a potential source of conflict with their patients. These factors likely contribute to clinical inertia, and studies focused on improving shared decision-making around deintensifying diabetes medications are needed.
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Affiliation(s)
- Scott J Pilla
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Rabia Jalalzai
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Olive Tang
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Nancy L Schoenborn
- Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Cynthia M Boyd
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael P Bancks
- Department of Epidemiology & Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Nestoras N Mathioudakis
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nisa M Maruthur
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
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18
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Schleiden LJ, Klima G, Rodriguez KL, Ersek M, Robinson JE, Hickson RP, Smith D, Cashy J, Sileanu FE, Thorpe CT. Clinician and Family Caregiver Perspectives on Deprescribing Chronic Disease Medications in Older Nursing Home Residents Near the End of Life. Drugs Aging 2024; 41:367-377. [PMID: 38575748 PMCID: PMC11021174 DOI: 10.1007/s40266-024-01110-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2024] [Indexed: 04/06/2024]
Abstract
INTRODUCTION Nursing home (NH) residents with limited life expectancy (LLE) who are intensely treated for hyperlipidemia, hypertension, or diabetes may benefit from deprescribing. OBJECTIVE This study sought to describe NH clinician and family caregiver perspectives on key influences on deprescribing decisions for chronic disease medications in NH residents near the end of life. METHODS We recruited family caregivers of veterans who recently died in a Veterans Affairs (VA) NH, known as community living centers (CLCs), and CLC healthcare clinicians (physicians, nurse practitioners, physician assistants, pharmacists, registered nurses). Respondents completed semi-structured interviews about their experiences with deprescribing statin, antihypertensive, and antidiabetic medications for residents near end of life. We conducted thematic analysis of interview transcripts to identify key themes regarding influences on deprescribing decisions. RESULTS Thirteen family caregivers and 13 clinicians completed interviews. Key themes included (1) clinicians and caregivers both prefer to minimize drug burden; (2) clinical factors strongly influence deprescribing of chronic disease medications, with differences in how clinicians and caregivers weigh specific factors; (3) caregivers trust and rely on clinicians to make deprescribing decisions; (4) clinicians perceive caregiver involvement and buy-in as essential to deprescribing decisions, which requires time and effort to obtain; and (5) clinicians perceive conflicting care from other clinicians as a barrier to deprescribing. CONCLUSIONS Findings suggest a need for efforts to encourage communication with and education for family caregivers of residents with LLE about deprescribing, and to foster better collaboration among clinicians in CLC and non-CLC settings.
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Affiliation(s)
- Loren J Schleiden
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA.
| | - Gloria Klima
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
| | - Keri L Rodriguez
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
| | - Mary Ersek
- Veteran Experience Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Center for Health Equity Research and Promotion (CHERP), Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Jacob E Robinson
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
- Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, NC, USA
| | - Ryan P Hickson
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
- Geriatric Research, Education, and Clinical Center (GRECC), Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Dawn Smith
- Veteran Experience Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Center for Health Equity Research and Promotion (CHERP), Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - John Cashy
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
- Veteran Experience Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Florentina E Sileanu
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
| | - Carolyn T Thorpe
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
- Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, NC, USA
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Munshi M, Ritzel R, Jude EB, Dex T, Melas-Melt L, Rosenstock J. Advancing type 2 diabetes therapy with iGlarLixi in older people: Pooled analysis of four randomized controlled trials. Diabetes Obes Metab 2024; 26:851-859. [PMID: 38082473 DOI: 10.1111/dom.15377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/23/2023] [Accepted: 11/02/2023] [Indexed: 12/22/2023]
Abstract
AIM To assess the efficacy and safety of iGlarLixi in older people (≥65 years) with type 2 diabetes (T2D) advancing or switching from oral agents, a glucagon-like peptide-1 receptor agonist (GLP-1RA), or basal insulin. MATERIALS AND METHODS The data of participants aged <65 years and ≥65 years from four LixiLan trials (LixiLan-O, LixiLan-G, LixiLan-L, SoliMix) were evaluated over 26 or 30 weeks. RESULTS Participants aged <65/≥65 years (n = 1039/n = 497) had a mean baseline body mass index of 31.4 and 30.7 kg/m2 and glycated haemoglobin (HbA1c) concentration of 66 mmol/mol (8.2%) and 65 mmol/mol (8.1%), respectively. Least squares mean HbA1c change from baseline to end of treatment (EOT) was -14.32 mmol/mol (-1.31%) (95% confidence interval [CI] -14.97, -13.77 [-1.37%, -1.26%]) for those aged <65 years and -13.66 mmol/mol (-1.25%) (95% CI -14.54, -12.79 [-1.33%, -1.17%]) for those aged ≥65 years. At EOT, achievement of HbA1c targets was similar between the group aged <65 years and the group aged ≥65 years: <53 mmol/mol (<7%) (59.0% and 56.5%, respectively), <59 mmol/mol (<7.5%) (75.5% and 73.0%, respectively) and <64 mmol/mol (<8%) (83.8% and 84.1%, respectively). The incidence and event rate of American Diabetes Association Level 1 hypoglycaemia during the studies were also comparable between the two groups: 26.7% and 28.2% and 1.7 and 2.1 events per patient-year for the group aged <65 years and the group aged ≥65 years, respectively. A clinically relevant reduction in HbA1c (>1% from baseline for HbA1c ≥64 mmol/mol [≥8%] or ≥0.5% from baseline for HbA1c <64 mmol/mol [<8%]) without hypoglycaemia was attained by 50.0% and 47.6% of participants aged <65 years and ≥65 years, respectively. Adverse events were similar between the two age groups. CONCLUSIONS iGlarLixi is a simple, well-tolerated, once-daily alternative for treatment advancement in older people with T2D that provides significant improvements in glycaemic control without increasing hypoglycaemia risk, thus reducing the treatment burden.
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Affiliation(s)
- Medha Munshi
- Joslin Diabetes Center, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Robert Ritzel
- Klinikum Schwabing and Klinikum Bogenhausen, Munich, Germany
| | - Edward B Jude
- Tameside and Glossop Integrated Care NHS Foundation Trust, Ashton under Lyne and University of Manchester/Manchester Metropolitan University, Manchester, UK
| | - Terry Dex
- Sanofi, Bridgewater, New Jersey, USA
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20
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 13. Older Adults: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S244-S257. [PMID: 38078580 PMCID: PMC10725804 DOI: 10.2337/dc24-s013] [Citation(s) in RCA: 59] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Johansson KS, Bülow C, Jimenez-Solem E, Petersen TS, Christensen MB. Age disparities in glucose-lowering treatment for Danish people with type 2 diabetes: a cross-sectional study between 2019 and 2020. THE LANCET. HEALTHY LONGEVITY 2023; 4:e685-e692. [PMID: 38042161 DOI: 10.1016/s2666-7568(23)00210-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 10/02/2023] [Accepted: 10/02/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND The pharmacotherapeutic guidelines for type 2 diabetes have changed considerably during the past decades. SGLT2 inhibitors and GLP-1 receptor agonists have emerged as first-line agents by preventing cardiovascular events within a few years of treatment. In contrast, sulphonylureas and insulin have been deprioritised due to less beneficial effects and the risk of hypoglycaemia-particularly in older people who are frail. We hypothesised that medications with a high risk of hypoglycaemia were used more often in older people compared with younger people. METHODS In a nationwide cohort of people with type 2 diabetes in Denmark from 2019 to 2020, we described the use of specific glucose-lowering medications in relation to age and glycated haemoglobin A1C (HbA1c) by descriptive statistics and regression models adjusted for sex, socioeconomic factors, renal function, and several comorbidities. FINDINGS Among 290 890 people with type 2 diabetes, glucose-lowering medication usage peaked at age 70 years. Increasing age was associated with relatively less use of metformin, GLP-1 receptor agonists, and SGLT2 inhibitors and more use of basal insulin, DDP-4 inhibitors, and sulphonylureas. When comparing 80-year-olds with 60-year-olds at similar HbA1c levels of 6·5% (48 mmol/mol), 80-year-olds used 8% (95% CI 7-10%) fewer glucose-lowering medications, were 55% less likely to receive GLP-1 receptor agonists or SGLT2 inhibitors (relative ratio 0·45, 95% CI 0·42-0·48), and 65% more likely to receive sulphonylureas (1·65, 1·54-1·76). Among 23 032 individuals aged 80 years or older with HbA1c levels of less than 6·5% (<48 mmol/mol), 2291 (10%) used sulphonylureas or insulin. INTERPRETATION In Danish people with type 2 diabetes, the likelihood of using glucose-lowering medications with a high risk of hypoglycaemia (eg, sulphonylureas and basal insulin) increased with age, whereas the likelihood of using GLP-1 receptor agonists and SGLT2 inhibitors decreased. Some people aged 80 years or older with an HbA1c level of less than 6·5% (48 mmol/mol) were potentially overtreated with sulphonylureas or insulin. These findings emphasise the importance of frequently re-evaluating glucose-lowering treatments. FUNDING None. TRANSLATION For the Danish translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Karl Sebastian Johansson
- Department of Clinical Pharmacology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.
| | - Cille Bülow
- Department of Clinical Pharmacology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Espen Jimenez-Solem
- Department of Clinical Pharmacology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Copenhagen Phase IV Unit (Phase4CPH), Department of Clinical Pharmacology and Center for Clinical Research and Prevention, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Tonny Studsgaard Petersen
- Department of Clinical Pharmacology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel Bring Christensen
- Department of Clinical Pharmacology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Center for Clinical Metabolic Research, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark; Copenhagen Center for Translational Research, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark
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22
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Koehn DA, Dungan KM, Wallia A, Lucas DO, Lash RW, Becker MN, Dardick LD, Boord JB. Reducing hypoglycemia from overtreatment of type 2 diabetes in older adults: The HypoPrevent study. J Am Geriatr Soc 2023; 71:3701-3710. [PMID: 37736005 DOI: 10.1111/jgs.18566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 06/22/2023] [Accepted: 06/25/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Hypoglycemia from overtreatment is a serious but underrecognized complication among older adults with type 2 diabetes. However, diabetes treatment is seldom deintensified. We assessed the effectiveness of a Clinical Decision Support (CDS) tool and shared decision-making (SDM) in decreasing the number of patients at risk for hypoglycemia and reducing the impact of non-severe hypoglycemic events. METHODS HypoPrevent was a pre-post, single arm study at a five-site primary care practice. We identified at-risk patients (≥65 years-old, with type 2 diabetes, treated with insulin or sulfonylureas, and HbA1c < 7.0%). During three clinic visits over 6 months, clinicians used the CDS tool and SDM to assess hypoglycemic risk, set individualized HbA1c goals, and adjust use of hypoglycemic agents. We assessed the number of patients setting individualized HbA1c goals or modifying medication use, changes in the population at risk for hypoglycemia, and changes in impact of non-severe hypoglycemic events using a validated patient-reported outcome tool (TRIM-HYPO). RESULTS We enrolled 94 patients (mean age-74; mean HbA1c (±SD)-6.36% ± 0.43), of whom 94% set an individualized HbA1c goal at either the baseline or first follow-up visit. Ninety patients completed the study. Insulin or sulfonylurea use was decreased or eliminated in 20%. An HbA1c level before and after goal setting was obtained in 53% (N = 50). Among these patients, the mean HbA1c increased 0.53% (p < 0.0001) and the number of patients at-risk decreased by 46% (p < 0.0001). Statistically significant reductions in the impact of hypoglycemia during daily activities occurred in both the total score and each functional domain of TRIM-HYPO. CONCLUSIONS In a population of older patients at risk for hypoglycemia, the use of a CDS tool and SDM reduced the population at risk and decreased the use of insulin and sulfonylureas. Using a patient-reported outcome tool, we demonstrated significant reductions in the impact of hypoglycemia on daily life.
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Affiliation(s)
| | - Kathleen Marie Dungan
- Division of Endocrinology, Diabetes & Metabolism, The Ohio State University, Columbus, Ohio, USA
| | - Amisha Wallia
- Division of Endocrinology, Metabolism & Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | | | | | | | | | - Jeffrey B Boord
- Department of Administration and Parkview Physicians Group Endocrinology Section, Parkview Health System, Fort Wayne, Indiana, USA
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Johansson KS, Petersen TS, Christensen MB, Pottegård A. Methodological Considerations for Describing Medication Changes in Relation to Clinical Events and Death: An Applied Example in Patients with Type 2 Diabetes and Cancer. Drugs Aging 2023; 40:1009-1015. [PMID: 37658195 PMCID: PMC10600038 DOI: 10.1007/s40266-023-01062-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2023] [Indexed: 09/03/2023]
Abstract
INTRODUCTION Certain clinical events reduce life expectancy and necessitate a reassessment of patient treatment. OBJECTIVE To describe medication changes in relation to a cancer diagnosis and the end of life and to highlight challenges and limitations with such descriptions. METHODS From a cohort with all Danish patients with type 2 diabetes, we matched patients with incident cancer during 2000-2021 (n = 41,745) with patients without cancer (n = 166,994) using propensity scores. We described their medication usage from cancer diagnosis until death. RESULTS The 1- and 5-year mortality were 51% and 86%, respectively, in the cancer group, and 13% and 59% in the non-cancer group. In relation to cancer diagnosis and death, the use of symptomatic medications (e.g., opioids, benzodiazepines) increased (10-60 incident medications per 100 patient-months), and the use of preventive medications (e.g., antihypertensives, statins) decreased (5-30% fewer users). The changes in relation to the diagnosis were driven by patients with short observed lengths of survival (< 2 years). In contrast, changes occurring within a year before death were less dependent on survival strata, and > 60% used preventive medications in their last months. CONCLUSIONS Medication changes in relation to a cancer diagnosis were frequent and correlated to the length of survival. The results showcase the challenges and limited clinical utility of anchoring analyses on events or death. While the former diluted the results by averaging changes across patients with vastly different clinical courses, the latter leveraged information unavailable to the treating clinicians. While medication changes were common near death, preventive medications were often used until death.
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Affiliation(s)
- Karl Sebastian Johansson
- Department of Clinical Pharmacology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Tonny Studsgaard Petersen
- Department of Clinical Pharmacology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel Bring Christensen
- Department of Clinical Pharmacology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Translational Research, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Anton Pottegård
- Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark
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De Las Salas R, Vaca-González C, Eslava-Schmalbach J, Torres-Espinosa C, Figueras A. Tackling potentially inappropriate prescriptions in older adults: development of deprescribing criteria by consensus from experts in Colombia, Argentina, and Spain. BMC Geriatr 2023; 23:682. [PMID: 37864147 PMCID: PMC10588094 DOI: 10.1186/s12877-023-04271-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 09/04/2023] [Indexed: 10/22/2023] Open
Abstract
BACKGROUND Potentially inappropriate medication use is prevalent among older adults in primary care, leading to increased morbidity, adverse drug reactions, hospitalizations, and mortality. This study aimed to develop and validate a tool for identifying PIMs in older adults within the primary care setting. The tool is composed of a list of criteria and was created based on consensus among experts from three Spanish-speaking countries, including two from Latin America. METHODS A literature review was conducted to identify existing tools, and prescription patterns were evaluated in a cohort of 36,111 older adults. An electronic Delphi method, consisting of two rounds, was used to reach a formal expert consensus. The panel included 18 experts from Spain, Colombia, and Argentina. The content validity index, validity of each content item, and Kappa Fleiss statistical measure were used to establish reliability. RESULTS Round one did not yield a consensus, but a definitive consensus was reached in round two. The resulting tool consisted of a list of 5 general recommendations per disease, along with 33 criteria related to potential problems, recommendations, and alternative therapeutic options. The overall content validity of the tool was 0.87, with a Kappa value of 0.69 (95% CI 0.64-0.73; Substantial). CONCLUSIONS The developed criteria provide a novel list that allows for a comprehensive approach to pharmacotherapy in older adults, intending to reduce inappropriate medication use, ineffective treatments, prophylactic therapies, and treatments with an unfavorable risk-benefit ratio for the given condition. Further studies are necessary to evaluate the impact of these criteria on health outcomes.
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Affiliation(s)
- Roxana De Las Salas
- Department of Nursing, Km5 Via Puerto Colombia, Universidad del Norte, Barranquilla, Colombia.
| | - Claudia Vaca-González
- Faculty of Science, Department of Pharmacy, Universidad Nacional de Colombia, Carrera 45 N° 26-85, Bogota, Colombia
| | - Javier Eslava-Schmalbach
- Faculty of Medicine, Department of Surgery, Universidad Nacional de Colombia, Carrera 45 N° 26-85, Bogota, Colombia
| | - Catalina Torres-Espinosa
- Faculty of Medicine, Department of Internal Medicine, Universidad Nacional de Colombia, Carrera 45 N° 26-85, Bogota, Colombia
| | - Albert Figueras
- Faculty of Medicine, Autonomus University of Barcelona, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain
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Baretella O, Alwan H, Feller M, Aubert CE, Del Giovane C, Papazoglou D, Christiaens A, Meinders AJ, Byrne S, Kearney PM, O'Mahony D, Knol W, Boland B, Gencer B, Aujesky D, Rodondi N. Overtreatment and associated risk factors among multimorbid older patients with diabetes. J Am Geriatr Soc 2023; 71:2893-2901. [PMID: 37286338 DOI: 10.1111/jgs.18465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 04/21/2023] [Accepted: 05/16/2023] [Indexed: 06/09/2023]
Abstract
BACKGROUND In multimorbid older patients with type 2 diabetes mellitus (T2DM), the intensity of glucose-lowering medication (GLM) should be focused on attaining a suitable level of glycated hemoglobin (HbA1c ) while avoiding side effects. We aimed at identifying patients with overtreatment of T2DM as well as associated risk factors. METHODS In a secondary analysis of a multicenter study of multimorbid older patients, we evaluated HbA1c levels among patients with T2DM. Patients were aged ≥70 years, with multimorbidity (≥3 chronic diagnoses) and polypharmacy (≥5 chronic medications), enrolled in four university medical centers across Europe (Belgium, Ireland, Netherlands, and Switzerland). We defined overtreatment as HbA1c < 7.5% with ≥1 GLM other than metformin, as suggested by Choosing Wisely and used prevalence ratios (PRs) to evaluate risk factors of overtreatment in age- and sex-adjusted analyses. RESULTS Among the 564 patients with T2DM (median age 78 years, 39% women), mean ± standard deviation HbA1c was 7.2 ± 1.2%. Metformin (prevalence 51%) was the most frequently prescribed GLM and 199 (35%) patients were overtreated. The presence of severe renal impairment (PR 1.36, 1.21-1.53) and outpatient physician (other than general practitioner [GP], i.e. specialist) or emergency department visits (PR 1.22, 1.03-1.46 for 1-2 visits, and PR 1.35, 1.19-1.54 for ≥3 visits versus no visits) were associated with overtreatment. These factors remained associated with overtreatment in multivariable analyses. CONCLUSIONS In this multicountry study of multimorbid older patients with T2DM, more than one third were overtreated, highlighting the high prevalence of this problem. Careful balancing of benefits and risks in the choice of GLM may improve patient care, especially in the context of comorbidities such as severe renal impairment, and frequent non-GP healthcare contacts.
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Affiliation(s)
- Oliver Baretella
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Heba Alwan
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Martin Feller
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Carole E Aubert
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Cinzia Del Giovane
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Dimitrios Papazoglou
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Antoine Christiaens
- Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, Paris, France
- Clinical Pharmacy research group, Louvain Drug Research Institute (LDRI), Université catholique de Louvain, Brussels, Belgium
| | - Arend-Jan Meinders
- Department of Internal Medicine, St Antonius Hospital, Nieuwegein, the Netherlands
| | - Stephen Byrne
- School of Pharmacy, University College Cork - National University of Ireland, Cork, Republic of Ireland
| | - Patricia M Kearney
- School of Public Health, University College Cork, Cork, Republic of Ireland
- Department of Medicine Cork, University College Cork - National University of Ireland, Cork, Republic of Ireland
| | - Denis O'Mahony
- Department of Medicine Cork, University College Cork - National University of Ireland, Cork, Republic of Ireland
- Department of Geriatric Medicine Cork, Cork University Hospital Group, Cork, Republic of Ireland
| | - Wilma Knol
- Department of Geriatrics and Expertise Centre Pharmacotherapy in Old Persons (EPHOR), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Benoît Boland
- Clinical Pharmacy research group, Louvain Drug Research Institute (LDRI), Université catholique de Louvain, Brussels, Belgium
- Department of Geriatric Medicine, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
| | - Baris Gencer
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Service de cardiologie, Hôpitaux Universitaires de Genève (HUG), Geneva, Switzerland
| | - Drahomir Aujesky
- Department of General Internal Medicine, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital, Bern, Switzerland
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Neumiller JJ, Munshi MN. Geriatric Syndromes in Older Adults with Diabetes. Endocrinol Metab Clin North Am 2023; 52:341-353. [PMID: 36948783 DOI: 10.1016/j.ecl.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
Over one-quarter of adults ≥65 years old have diabetes in the United States. Guidelines recommend individualization of glycemic targets in older adults with diabetes as well as implementing treatment strategies that minimize risk for hypoglycemia. Patient-centered management decisions should be informed by comorbidities, the individual's capacity for self-care, and the presence of key geriatric syndromes that may impact self-management and patient safety. Key geriatric syndromes include cognitive impairment, depression, functional impairments (eg, vision, hearing, and mobility challenges), falls and fractures, polypharmacy, and urinary incontinence. Screening for geriatric syndromes in older adults is recommended to inform treatment strategies and optimize outcomes.
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Affiliation(s)
- Joshua J Neumiller
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, 412 East Spokane Falls Boulevard, Spokane, WA 99210, USA.
| | - Medha N Munshi
- Geriatric Diabetes Program, Joslin Diabetes Centre, Harvard Medical School, 1 Brookline Place, Suite 230, Brookline, MA 02445, USA
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Moran C, Lacy ME, Whitmer RA, Tsai AL, Quesenberry CP, Karter AJ, Adams AS, Gilsanz P. Glycemic Control Over Multiple Decades and Dementia Risk in People With Type 2 Diabetes. JAMA Neurol 2023; 80:597-604. [PMID: 37067815 PMCID: PMC10111232 DOI: 10.1001/jamaneurol.2023.0697] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 02/20/2023] [Indexed: 04/18/2023]
Abstract
Importance The levels of glycemic control associated with the lowest risk of dementia in people with type 2 diabetes are unknown. This knowledge is critical to inform patient-centered glycemic target setting. Objective To examine the associations between cumulative exposure to various ranges of glycated hemoglobin (HbA1c) concentrations with dementia risk across sex and racial and ethnic groups and the association of current therapeutic glycemic targets with dementia risk. Design, Setting, and Participants This cohort study included members of the Kaiser Permanente Northern California integrated health care system with type 2 diabetes who were aged 50 years or older during the study period from January 1, 1996, to September 30, 2015. Individuals with fewer than 2 HbA1c measurements during the study period, prevalent dementia at baseline, or less than 3 years of follow-up were excluded. Data were analyzed from February 2020 to January 2023. Exposures Time-updated cumulative exposure to HbA1c thresholds. At each HbA1c measurement, participants were categorized based on the percentage of their HbA1c measurements that fell into the following categories: less than 6%, 6% to less than 7%, 7% to less than 8%, 8% to less than 9%, 9% to less than 10%, and 10% or more of total hemoglobin (to convert percentage of total hemoglobin to proportion of total hemoglobin, multiply by 0.01). Main Outcomes and Measures Dementia diagnosis was identified using International Classification of Diseases, Ninth Revision codes from inpatient and outpatient encounters. Cox proportional hazards regression models estimated the association of time-varying cumulative glycemic exposure with dementia, adjusting for age, race and ethnicity, baseline health conditions, and number of HbA1c measurements. Results A total of 253 211 participants were included. The mean (SD) age of participants was 61.5 (9.4) years, and 53.1% were men. The mean (SD) duration of follow-up was 5.9 (4.5) years. Participants with more than 50% of HbA1c measurements at 9% to less than 10% or 10% or more had greater risk of dementia compared with those who had 50% or less of measurements in those categories (HbA1c 9% to <10%: adjusted hazard ratio [aHR], 1.31 [95% CI, 1.15-1.51]; HbA1c≥10%: aHR, 1.74 [95% CI, 1.62-1.86]). By contrast, participants with more than 50% of HbA1c concentrations less than 6%, 6% to less than 7%, or 7% to less than 8% had lower risk of dementia (HbA1c<6%: aHR, 0.92 [95% CI, 0.88-0.97]; HbA1c 6% to <7%: aHR, 0.79 [95% CI, 0.77-0.81]; HbA1c 7% to <8%: aHR, 0.93 [95% CI, 0.89-0.97]). Conclusions and Relevance In this study dementia risk was greatest among adults with cumulative HbA1c concentrations of 9% or more. These results support currently recommended relaxed glycemic targets for older people with type 2 diabetes.
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Affiliation(s)
- Chris Moran
- National Centre for Healthy Ageing, Melbourne, Australia
- Peninsula Clinical School, Monash University, Melbourne, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Mary E. Lacy
- Kaiser Permanente Division of Research, Oakland, California
- College of Public Health, Department of Epidemiology, University of Kentucky, Lexington
| | - Rachel A. Whitmer
- Kaiser Permanente Division of Research, Oakland, California
- Division of Epidemiology, School of Medicine, University of California, Davis
| | - Ai-Lin Tsai
- Kaiser Permanente Division of Research, Oakland, California
| | | | | | - Alyce S. Adams
- Kaiser Permanente Division of Research, Oakland, California
- Department of Epidemiology and Population Health and Health Policy, School of Medicine, Stanford University, Stanford, California
| | - Paola Gilsanz
- Kaiser Permanente Division of Research, Oakland, California
- Department of Epidemiology and Biostatistics, University of California, San Francisco
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Chen JTC, Austin PC, Luo J, Campitelli MA, Bronskill SE, Yu C, Rochon PA, Lipscombe LL, Lega IC. Patterns of diabetes testing for older adults without diabetes in Ontario's nursing homes: A population-based study. J Am Geriatr Soc 2023; 71:720-729. [PMID: 36515210 DOI: 10.1111/jgs.18152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/31/2022] [Accepted: 11/06/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Asymptomatic diabetes testing may be of limited value for older nursing home residents, but most diabetes guidelines lack upper-age cutoffs for screening cessation. We evaluated patterns of glycated hemoglobin (HbA1c) and serum blood glucose (SBG) testing among older residents without diabetes in Ontario, Canada. METHODS This population-based retrospective cohort study used provincial health administrative data from ICES to identify older nursing home residents in Ontario without diabetes between January 1, 2015 and December 31, 2018. We examined HbA1c and glucose testing rates overall, by age, sex, and near end-of-life. The number of tests needed to identify one case of diabetes (using HbA1c thresholds of 6.5% and 8.0%) were also calculated. RESULTS Among 102,923 older nursing home residents (70.3% women; average age 85.6 ± SD 7.7 years), 46.1% of residents received ≥1 HbA1c test over an average follow-up period of 2.15 (± SD 1.49) years, and 18.2% of these tested residents received ≥4 HbA1c tests. The crude HbA1c testing rate was 52.6 tests/100 person-years (95% CI 52.3-52.9). Testing rates among residents aged ≥80 years was 50.7 HbA1c tests/100 person-years (95% CI 50.4-51.0), and 47.8 tests/100 person-years (95% CI 46.5-49.0) among residents near end-of-life. The number of tests to identify a case of diabetes (HbA1c ≥ 6.5%) was 44, while the number of tests to identify a case of actionable diabetes (HbA1c ≥ 8%) was 310. Less than 1% of residents with an HbA1c test met criteria for actionable diabetes. CONCLUSIONS Nursing home residents without diabetes receive frequent diabetes testing, with high testing rates even in residents over 80 years old and residents near end-of-life. The high number of tests needed to identify a case of actionable diabetes highlights the urgent need to re-evaluate diabetes testing practices in nursing homes.
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Affiliation(s)
- Jim T C Chen
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | | | | | | | - Susan E Bronskill
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Catherine Yu
- Department of Medicine, University of Toronto, Toronto, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - Paula A Rochon
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Lorraine L Lipscombe
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Iliana C Lega
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
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Pilla SJ, Meza KA, Schoenborn NL, Boyd CM, Maruthur NM, Chander G. A Qualitative Study of Perspectives of Older Adults on Deintensifying Diabetes Medications. J Gen Intern Med 2023; 38:1008-1015. [PMID: 36175758 PMCID: PMC10039184 DOI: 10.1007/s11606-022-07828-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 09/16/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND While many older adults with type 2 diabetes have tight glycemic control beyond guideline-recommended targets, deintensifying (stopping or dose-reducing) diabetes medications rarely occurs. OBJECTIVE To explore the perspectives of older adults with type 2 diabetes around deintensifying diabetes medications. DESIGN This qualitative study used individual semi-structured interviews, which included three clinical scenarios where deintensification may be indicated. PARTICIPANTS Twenty-four adults aged ≥65 years with medication-treated type 2 diabetes and hemoglobin A1c <7.5% were included (to thematic saturation) using a maximal variation sampling strategy for diabetes treatment and physician specialty. APPROACH Interviews were independently coded by two investigators and analyzed using a grounded theory approach. We identified major themes and subthemes and coded responses to the clinical scenarios as positive (in favor of deintensification), negative, or ambiguous. KEY RESULTS Participants' mean age was 74 years, half were women, and 58% used a sulfonylurea or insulin. The first of four major themes was fear of losing control of diabetes, which participants weighed against the benefits of taking less medication (Theme 2). Few participants viewed glycemic control below target as a reason for deintensification and a majority would restart the medication if their home glucose increased. Some participants were anchored to their current diabetes treatment (Theme 3) driven by unrealistic views of medication benefits. A trusting patient-provider relationship (Theme 4) was a positive influence. In clinical scenarios, 8%, 4%, and 75% of participants viewed deintensification positively in the setting of poor health, limited life expectancy, and high hypoglycemia risk, respectively. CONCLUSIONS Optimizing deintensification requires patient education that describes both individualized glycemic targets and how they will change over the lifespan. Deintensification is an opportunity for shared decision-making, but providers must understand patients' beliefs about their medications and address misconceptions. Hypoglycemia prevention may be a helpful framing for discussing deintensification.
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Affiliation(s)
- Scott J Pilla
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Kayla A Meza
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nancy L Schoenborn
- Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Cynthia M Boyd
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Nisa M Maruthur
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Geetanjali Chander
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
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30
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Weiner M, Adeoye P, Boeh MJ, Bodke K, Broughton J, Butler AR, Dafferner ML, Dirlam LA, Ferguson D, Keegan AL, Keith NR, Lee JL, McCorkle CB, Pino DG, Shan M, Srinivas P, Tang Q, Teal E, Tu W, Savoy A, Callahan CM, Clark DO. Continuous Glucose Monitoring and Other Wearable Devices to Assess Hypoglycemia among Older Adult Outpatients with Diabetes Mellitus. Appl Clin Inform 2023; 14:37-44. [PMID: 36351548 PMCID: PMC9848893 DOI: 10.1055/a-1975-4136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Hypoglycemia (HG) causes symptoms that can be fatal, and confers risk of dementia. Wearable devices can improve measurement and feedback to patients and clinicians about HG events and risk. OBJECTIVES The aim of the study is to determine whether vulnerable older adults could use wearables, and explore HG frequency over 2 weeks. METHODS First, 10 participants with diabetes mellitus piloted a continuous glucometer, physical activity monitor, electronic medication bottles, and smartphones facilitating prompts about medications, behaviors, and symptoms. They reviewed graphs of glucose values, and were asked about the monitoring experience. Next, a larger sample (N = 70) wore glucometers and activity monitors, and used the smartphone and bottles, for 2 weeks. Participants provided feedback about the devices. Descriptive statistics summarized demographics, baseline experiences, behaviors, and HG. RESULTS In the initial pilot, 10 patients aged 50 to 85 participated. Problems addressed included failure of the glucometer adhesive. Patients sought understanding of graphs, often requiring some assistance with interpretation. Among 70 patients in subsequent testing, 67% were African-American, 59% were women. Nearly one-fourth (23%) indicated that they never check their blood sugars. Previous HG was reported by 67%. In 2 weeks of monitoring, 73% had HG (glucose ≤70 mg/dL), and 42% had serious, clinically significant HG (glucose under 54 mg/dL). Eight patients with HG also had HG by home-based blood glucometry. Nearly a third of daytime prompts were unanswered. In 24% of participants, continuous glucometers became detached. CONCLUSION Continuous glucometry occurred for 2 weeks in an older vulnerable population, but devices posed wearability challenges. Most patients experienced HG, often serious in magnitude. This suggests important opportunities to improve wearability and decrease HG frequency among this population.
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Affiliation(s)
- Michael Weiner
- Department of Medicine, Indiana University, Indianapolis, Indiana,Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, Indiana,Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13–416, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana,Address for correspondence Michael Weiner, MD, MPH Regenstrief Institute, Inc.1101 West 10th Street, Indianapolis, IN 46202United States
| | - Philip Adeoye
- Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana
| | | | - Kunal Bodke
- Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana
| | | | - Anietra R. Butler
- Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana
| | | | - Lindsay A. Dirlam
- Lifestyle Health and Wellness, Eskenazi Health, Indianapolis, Indiana
| | - Denisha Ferguson
- Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana
| | - Amanda L. Keegan
- Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana
| | - NiCole R. Keith
- Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana,Department of Kinesiology, Indiana University, Indianapolis, Indiana
| | - Joy L. Lee
- Department of Medicine, Indiana University, Indianapolis, Indiana,Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, Indiana
| | - Corrina B. McCorkle
- Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana
| | - Daniel G. Pino
- Department of Medicine, Indiana University, Indianapolis, Indiana,Lifestyle Health and Wellness, Eskenazi Health, Indianapolis, Indiana
| | - Mu Shan
- Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, Indiana
| | - Preethi Srinivas
- Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana
| | - Qing Tang
- Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, Indiana
| | - Evgenia Teal
- Data Services, Regenstrief Institute, Inc., Indianapolis, Indiana
| | - Wanzhu Tu
- Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana,Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, Indiana
| | - April Savoy
- Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, Indiana,Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13–416, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana,Computer and Information Technology, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indiana
| | - Christopher M. Callahan
- Department of Medicine, Indiana University, Indianapolis, Indiana,Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana,Senior Care, Eskenazi Health, Indianapolis, Indiana
| | - Daniel O. Clark
- Department of Medicine, Indiana University, Indianapolis, Indiana,Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Jeffrie Seley J, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 13. Older Adults: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S216-S229. [PMID: 36507638 PMCID: PMC9810468 DOI: 10.2337/dc23-s013] [Citation(s) in RCA: 106] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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The association of glycemic control and fall risk in diabetic elderly: a cross-sectional study in Hong Kong. BMC PRIMARY CARE 2022; 23:192. [PMID: 35915395 PMCID: PMC9344708 DOI: 10.1186/s12875-022-01807-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 07/20/2022] [Indexed: 11/10/2022]
Abstract
Abstract
Background
Many foreign studies investigated glycemic control and fall risk. However, there was insufficient study on this topic in Hong Kong. This study aims to find out the association of glycemic control and fall risk in the diabetic elderly in a general outpatient clinic in the North District of Hong Kong. Their frequency of falls and other associated risk factors of fall were also studied.
Methods
A cross-sectional questionnaire survey was conducted on 442 diabetic patients aged 65 years-old or above with regular follow-up in a general outpatient clinic. Main outcome measure was the number of falls in the past one year from the interview date. Recurrent falls was defined as two or more falls in the past one year from the interview date. Subjects were asked about experience of hypoglycemic symptoms. HbA1c level, chronic illness, retinopathy etc. were obtained through computerized medical record review. Chi square test and logistic regression were used to assess the association between outcomes and the explanatory variables.
Results
In the past one year, 23.3% participants experienced at least one fall and 8.6% had recurrent falls. Hypoglycemic symptoms, and lower visual acuity < 0.6 were significantly associated with fall (OR 2.42, p = 0.007 and OR 1.75, p = 0.038 respectively). Age 75–79 years-old had a higher likelihood of fall than the 65–69 age group (OR 2.23, p = 0.044). Patients with HbA1c 7.0–7.4% had a lower risk of recurrent falls when compared to those with intensive control (OR 0.32, p = 0.044). Other risk factors that increased risk of recurrent falls were hypoglycemic symptoms (OR 6.64, p < 0.001) and history of cerebral vascular accident (OR 4.24, p = 0.003).
Conclusions
Hypoglycemic symptoms had a very strong association with falls. Less stringent HbA1c control reduced the risk of recurrent falls. Healthcare professionals need to take a more proactive approach in enquiring about hypoglycemia. There should be individualized diabetic treatment target for the diabetic elderly.
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Chronic Disease Screening and Health Promotion Strategies for Older Men. J Nurse Pract 2022. [DOI: 10.1016/j.nurpra.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Aceves B, Gunn R, Pisciotta M, Razon N, Cottrell E, Hessler D, Gold R, Gottlieb LM. Social Care Recommendations in National Diabetes Treatment Guidelines. Curr Diab Rep 2022; 22:481-491. [PMID: 36040537 PMCID: PMC9424801 DOI: 10.1007/s11892-022-01490-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/02/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE OF REVIEW An expanding body of research documents associations between socioeconomic circumstances and health outcomes, which has led health care institutions to invest in new activities to identify and address patients' social circumstances in the context of care delivery. Despite growing national investment in these "social care" initiatives, the extent to which social care activities are routinely incorporated into care for patients with type II diabetes mellitus (T2D), specifically, is unknown. We conducted a scoping review of existing T2D treatment and management guidelines to explore whether and how these guidelines incorporate recommendations that reflect social care practice categories. RECENT FINDINGS We applied search terms to locate all T2D treatment and management guidelines for adults published in the US from 1977 to 2021. The search captured 158 national guidelines. We subsequently applied the National Academies of Science, Engineering, and Medicine framework to search each guideline for recommendations related to five social care activities: Awareness, Adjustment, Assistance, Advocacy, and Alignment. The majority of guidelines (122; 77%) did not recommend any social care activities. The remainder (36; 23%) referred to one or more social care activities. In the guidelines that referred to at least one type of social care activity, adjustments to medical treatment based on social risk were most common [34/36 (94%)]. Recommended adjustments included decreasing medication costs to accommodate financial strain, changing literacy level or language of handouts, and providing virtual visits to accommodate transportation insecurity. Ensuring that practice guidelines more consistently reflect social care best practices may improve outcomes for patients living with T2D.
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Affiliation(s)
- Benjamin Aceves
- Social Interventions Research and Evaluation Network, University of California San Francisco, San Francisco, CA, USA.
- School of Public Health, San Diego State University, San Diego, CA, USA.
| | | | | | - Na'amah Razon
- Department of Family and Community Medicine, University of California Davis, Sacramento, CA, USA
| | | | - Danielle Hessler
- Social Interventions Research and Evaluation Network, University of California San Francisco, San Francisco, CA, USA
| | - Rachel Gold
- OCHIN, Inc., Portland, OR, USA
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Laura M Gottlieb
- Social Interventions Research and Evaluation Network, University of California San Francisco, San Francisco, CA, USA
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Muszalik M, Stępień H, Puto G, Cybulski M, Kurpas D. Implications of the Metabolic Control of Diabetes in Patients with Frailty Syndrome. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10327. [PMID: 36011979 PMCID: PMC9408164 DOI: 10.3390/ijerph191610327] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
Introduction: Frailty syndrome occurs more frequently in patients with diabetes than in the general population. The reasons for this more frequent occurrence and the interdependence of the two conditions are not well understood. To date, there is no fully effective method for the diagnosis, prevention, and monitoring of frailty syndrome. This study aimed to assess the degree of metabolic control of diabetes in patients with frailty syndrome and to determine the impact of frailty on the course of diabetes using a retrospective analysis. Materials and Methods: A total of 103 individuals aged 60+ with diabetes were studied. The study population included 65 women (63.1%) and 38 men (36.9%). The mean age was 72.96 years (SD 7.55). The study was conducted in the practice of a general practitioner in Wielkopolska in 2018−2019. The research instrument was the authors’ original medical history questionnaire. The questions of the questionnaire were related to age, education, and sociodemographic situation of the respondents, as well as their dietary habits, health status, and use of stimulants. Other instruments used were: the Mini-Mental State Examination (MMSE), Lawton Scale (IADL—Instrumental Activities of Daily Living), Katz Scale (ADL—Activities of Daily Living), Geriatric Depression Rating Scale (GDS), and SHARE-FI scale (Survey of Health, Aging, and Retirement in Europe). Anthropometric and biochemical tests were performed. Results: In the study, frailty syndrome was diagnosed using the SHARE-FI scale in 26 individuals (25%): 32 (31.1%) were pre-frailty and 45 (43.7%) represented a non-frailty group. Statistical analysis revealed that elevated HbA1c levels were associated with a statistically significant risk of developing frailty syndrome (p = 0.048). In addition, the co-occurrence of diabetes and frailty syndrome was found to be a risk factor for loss of functional capacity or limitation in older adults (p = 0.00) and was associated with the risk of developing depression (p < 0.001) and cognitive impairment (p < 0.001). Conclusions: Concerning metabolic control of diabetes, higher HbA1c levels in the elderly are a predictive factor for the development of frailty syndrome. No statistical significance was found for the other parameters of metabolic control in diabetes. People with frailty syndrome scored significantly higher on the Geriatric Depression Rating Scale and lower on the MMSE cognitive rating scale than the comparison group. This suggests that frailty is a predictive factor for depression and cognitive impairment. Patients with frailty and diabetes have significantly lower scores on the Basic Activities of Daily Living Rating Scale and the Complex Activities of Daily Living Rating Scale, which are associated with loss or limitation of functioning. Frailty syndrome is a predictive factor for loss of functional capacity in the elderly.
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Affiliation(s)
- Marta Muszalik
- Department of Geriatrics, Faculty of Health Sciences, Nicolaus Copernicus University in Torun, Collegium Medicum in Bydgoszcz, 85-094 Bydgoszcz, Poland
| | - Hubert Stępień
- Department of Internal Medicine II, Asklepios Clinic Uckermark, 74-506 Schwedt, Germany
| | - Grażyna Puto
- Department of Clinical Nursing, Institute of Nursing and Midwifery, Faculty of Health Sciences, Jagiellonian University Medical College Cracow, 31-501 Crakow, Poland
| | - Mateusz Cybulski
- Department of Integrated Medical Care, Faculty of Health Sciences, Medical University of Bialystok, 15-096 Białystok, Poland
| | - Donata Kurpas
- Department of Family Medicine, Wroclaw Medical University, 51-141 Wroclaw, Poland
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Niznik JD, Zhao X, Slieanu F, Mor MK, Aspinall SL, Gellad WF, Ersek M, Hickson RP, Springer SP, Schleiden LJ, Hanlon JT, Thorpe JM, Thorpe CT. Effect of Deintensifying Diabetes Medications on Negative Events in Older Veteran Nursing Home Residents. Diabetes Care 2022; 45:1558-1567. [PMID: 35621712 PMCID: PMC9274227 DOI: 10.2337/dc21-2116] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 04/17/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Guidelines advocate against tight glycemic control in older nursing home (NH) residents with advanced dementia (AD) or limited life expectancy (LLE). We evaluated the effect of deintensifying diabetes medications with regard to all-cause emergency department (ED) visits, hospitalizations, and death in NH residents with LLE/AD and tight glycemic control. RESEARCH DESIGN AND METHODS We conducted a national retrospective cohort study of 2,082 newly admitted nonhospice veteran NH residents with LLE/AD potentially overtreated for diabetes (HbA1c ≤7.5% and one or more diabetes medications) in fiscal years 2009-2015. Diabetes treatment deintensification (dose decrease or discontinuation of a noninsulin agent or stopping insulin sustained ≥7 days) was identified within 30 days after HbA1c measurement. To adjust for confounding, we used entropy weights to balance covariates between NH residents who deintensified versus continued medications. We used the Aalen-Johansen estimator to calculate the 60-day cumulative incidence and risk ratios (RRs) for ED or hospital visits and deaths. RESULTS Diabetes medications were deintensified for 27% of residents. In the subsequent 60 days, 28.5% of all residents were transferred to the ED or acute hospital setting for any cause and 3.9% died. After entropy weighting, deintensifying was not associated with 60-day all-cause ED visits or hospitalizations (RR 0.99 [95% CI 0.84, 1.18]) or 60-day mortality (1.52 [0.89, 2.81]). CONCLUSIONS Among NH residents with LLE/AD who may be inappropriately overtreated with tight glycemic control, deintensification of diabetes medications was not associated with increased risk of 60-day all-cause ED visits, hospitalization, or death.
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Affiliation(s)
- Joshua D Niznik
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,Division of Geriatric Medicine and Center for Aging and Health, University of North Carolina School of Medicine, Chapel Hill, NC.,Division of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC
| | - Xinhua Zhao
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA
| | - Florentina Slieanu
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA
| | - Maria K Mor
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Sherrie L Aspinall
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,VA Center for Medication Safety, Hines, Illinois.,University of Pittsburgh School of Pharmacy, Pittsburgh, PA
| | - Walid F Gellad
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Mary Ersek
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.,School of Nursing, University of Pennsylvania, Philadelphia, PA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
| | - Ryan P Hickson
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA
| | - Sydney P Springer
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,University of New England School of Pharmacy, Portland, ME
| | - Loren J Schleiden
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,University of Pittsburgh School of Pharmacy, Pittsburgh, PA
| | - Joseph T Hanlon
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA.,Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA
| | - Joshua M Thorpe
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,Division of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC
| | - Carolyn T Thorpe
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.,Division of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC
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Lederle LI, Steinman MA, Jing B, Nguyen B, Lee SJ. Glycemic treatment deintensification practices in nursing home residents with type 2 diabetes. J Am Geriatr Soc 2022; 70:2019-2028. [PMID: 35318647 PMCID: PMC9283249 DOI: 10.1111/jgs.17735] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 02/02/2022] [Accepted: 02/12/2022] [Indexed: 01/22/2023]
Abstract
BACKGROUND Older nursing home (NH) residents with glycemic overtreatment are at significant risk of hypoglycemia and other harms and may benefit from deintensification. However, little is known about deintensification practices in this setting. METHODS We conducted a cohort study from January 1, 2013 to December 31, 2019 among Veterans Affairs (VA) NH residents. Participants were VA NH residents age ≥65 with type 2 diabetes with a NH length of stay (LOS) ≥ 30 days and an HbA1c result during their NH stay. We defined overtreatment as HbA1c <6.5 with any insulin use, and potential overtreatment as HbA1c <7.5 with any insulin use or HbA1c <6.5 on any glucose-lowering medication (GLM) other than metformin alone. Our primary outcome was continued glycemic overtreatment without deintensification 14 days after HbA1c. RESULTS Of the 7422 included residents, 17% of residents met criteria for overtreatment and an additional 23% met criteria for potential overtreatment. Among residents overtreated and potentially overtreated at baseline, 27% and 19%, respectively had medication regimens deintensified (73% and 81%, respectively, continued to be overtreated). Long-acting insulin use and hyperglycemia ≥300 mg/dL before index HbA1c were associated with increased odds of continued overtreatment (odds ratio [OR] 1.37, 95% confidence interval [CI] 1.14-1.65 and OR 1.35, 95% CI 1.10-1.66, respectively). Severe functional impairment (MDS-ADL score ≥ 19) was associated with decreased odds of continued overtreatment (OR 0.72, 95% CI 0.56-0.95). Hypoglycemia was not associated with decreased odds of overtreatment. CONCLUSIONS Overtreatment of diabetes in NH residents is common and a minority of residents have their medication regimens appropriately deintensified. Deprescribing initiatives targeting residents at high risk of harms and with low likelihood of benefit such as those with history of hypoglycemia, or high levels of cognitive or functional impairment are most likely to identify NH residents most likely to benefit from deintensification.
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Affiliation(s)
- Lauren I. Lederle
- Geriatrics and Extended Care ServiceSan Francisco Virginia Medical CenterSan FranciscoCaliforniaUSA
- Veterans Affairs Quality Scholars FellowshipSan Francisco Virginia Medical CenterSan FranciscoCaliforniaUSA
- Division of GeriatricsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Michael A. Steinman
- Geriatrics and Extended Care ServiceSan Francisco Virginia Medical CenterSan FranciscoCaliforniaUSA
- Division of GeriatricsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Bocheng Jing
- Division of GeriatricsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Brian Nguyen
- Division of GeriatricsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Sei J. Lee
- Geriatrics and Extended Care ServiceSan Francisco Virginia Medical CenterSan FranciscoCaliforniaUSA
- Veterans Affairs Quality Scholars FellowshipSan Francisco Virginia Medical CenterSan FranciscoCaliforniaUSA
- Division of GeriatricsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
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38
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Lega IC, Rochon PA. Diabetes treatment deintensification in nursing homes: When less is more. J Am Geriatr Soc 2022; 70:1946-1949. [PMID: 35587266 DOI: 10.1111/jgs.17832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 04/20/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Iliana C Lega
- Department of Medicine, Division of Endocrinology, University of Toronto, Toronto, Canada.,Women's Age Lab, Women's College Hospital, Toronto, Canada.,Women's College Research Institute, Toronto, Canada.,ICES, Toronto, Canada
| | - Paula A Rochon
- Women's Age Lab, Women's College Hospital, Toronto, Canada.,Department of Medicine, Division of Geriatric Medicine, University of Toronto, Toronto, Canada
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Le P, Ayers G, Misra-Hebert AD, Herzig SJ, Herman WH, Shaker VA, Rothberg MB. Adherence to the American Diabetes Association's Glycemic Goals in the Treatment of Diabetes Among Older Americans, 2001-2018. Diabetes Care 2022; 45:1107-1115. [PMID: 35076695 DOI: 10.2337/dc21-1507] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 01/01/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess trends in HbA1c and appropriateness of diabetes medication use by patient health status. RESEARCH DESIGN AND METHODS We conducted cross-sectional analysis of 2001-2018 National Health and Nutrition Examination Survey (NHANES). We included older adults age ≥65 years who had ever been told they had diabetes, had HbA1c >6.4%, or had fasting plasma glucose >125 mg/dL. Health status was categorized as good, intermediate, or poor. Being below goal was defined as taking medication despite having HbA1c ≥1% below the glycemic goals of the American Diabetes Association (ADA), which varied by patient health status and time period. Drugs associated with hypoglycemia included sulfonylureas, insulin, and meglitinides. RESULTS We included 3,539 patients. Mean HbA1c increased over time and did not differ by health status. Medication use increased from 59% to 74% with metformin being the most common drug in patients with good or intermediate health and sulfonylureas and insulin most often prescribed to patients with poor health. Among patients taking medications, prevalence of patients below goal increased while prevalence of those above goal decreased from 2001 to 2018. One-half of patients with poor health and taking medications had below-goal HbA1c; two-thirds received drugs associated with hypoglycemia. Patients with poor health who were below goal had 4.9 (95% CI 2.3-10.4) times the adjusted odds of receiving drugs associated with hypoglycemia than healthy patients. CONCLUSIONS In accordance with ADA's newer Standards of Medical Care in Diabetes, HbA1c goals were relaxed but did not differ by health status. Below-goal HbA1c was common among patients with poor health; many were prescribed medications associated with a higher risk of hypoglycemia.
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Affiliation(s)
- Phuc Le
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, OH
| | - Gina Ayers
- Department of Pharmacy and Center for Geriatric Medicine, Cleveland Clinic, Cleveland, OH
| | - Anita D Misra-Hebert
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, OH.,Healthcare Delivery and Implementation Science Center, Cleveland Clinic, Cleveland, OH
| | - Shoshana J Herzig
- Division of General Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - William H Herman
- University of Michigan School of Public Health, Ann Arbor, MI.,University of Michigan Medical School, Ann Arbor, MI
| | - Victoria A Shaker
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, OH
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Masters MC, Yang J, Lake JE, Abraham AG, Kingsley L, Brown TT, Palella FJ, Erlandson KM. Diabetes mellitus is associated with declines in physical function among men with and without HIV. AIDS 2022; 36:637-646. [PMID: 34999609 PMCID: PMC8957604 DOI: 10.1097/qad.0000000000003160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To determine the longitudinal relationships between abnormal glucose metabolism and physical function in persons with HIV (PWH) and without HIV. DESIGN Prospective cohort study of men with or at risk for HIV in four United States cities between 2006 and 2018. METHODS Men with or at risk for HIV from the Multicenter AIDS Cohort Study (MACS) had semi-annual assessments of glycemic status, grip strength, and gait speed. We used linear mixed models with random intercept to assess associations between glycemic status and physical function. Glycemic status was categorized as normal, impaired fasting glucose (IFG), controlled diabetes mellitus [hemoglobin A1C (HbA1C) <7.5%], or uncontrolled diabetes mellitus (HbA1C ≥ 7.5%). RESULTS Of 2240 men, 52% were PWH. Diabetes mellitus was similar among PWH (7.7%) vs. persons without HIV (6.7%, P = 0.36) at baseline. PWH had slower gait speed (1.17 vs. 1.20 m/s, P < 0.01) but similar grip strength (40.1 vs. 39.8 kg, P = 0.76) compared with persons without HIV at baseline. In multivariate models, gait speed decline was greater with controlled diabetes mellitus [-0.018 m/s (-0.032 to -0.005), P = 0.01] and grip strength decline was greater with controlled [-0.560 kg (-1.096 to -0.024), P = 0.04] and uncontrolled diabetes mellitus [-0.937 kg (-1.684 to -0.190), P = 0.01), regardless of HIV serostatus compared with normoglycemic individuals. DISCUSSION Abnormal glucose metabolism was associated with declines in gait speed and grip strength regardless of HIV serostatus. These data suggest that improvement in glucose control should be investigated as an intervenable target to prevent progression of physical function limitations among PWH.
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Affiliation(s)
- Mary C Masters
- Department of Medicine, Northwestern University, Chicago, Illinois
| | - Jingyan Yang
- Department of Epidemiology, Mailman School of Public Heath, Columbia University, New York, New York
| | - Jordan E Lake
- Department of Internal Medicine, McGovern Medical School, University of Texas, Houston, Texas
| | - Alison G Abraham
- Department of Ophthalmology, Johns Hopkins University School of Medicine
- Department of Epidemiology, The Johns Hopkins School of Public Health, Baltimore, Maryland
| | - Lawrence Kingsley
- Department of Infectious Diseases and Microbiology
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Todd T Brown
- Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University, Baltimore, Maryland
| | - Frank J Palella
- Department of Medicine, Northwestern University, Chicago, Illinois
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Cuevas H, John-Miller L, Zuñiga J. Factors affecting cognitive dysfunction screening for Latinx adults with type 2 diabetes. J Clin Transl Endocrinol 2022; 27:100294. [PMID: 35386420 PMCID: PMC8978099 DOI: 10.1016/j.jcte.2022.100294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 01/20/2022] [Accepted: 01/24/2022] [Indexed: 11/26/2022] Open
Abstract
Aim To examine influences on screening of Latinx adults with type 2 diabetes for cognitive problems by identifying patient-, clinician-, and clinic-level factors. Methods This was a mixed methods study consisting of semi-structured interviews with Latinx adults with type 2 diabetes (n = 30; mean age = 68; 57% Mexican American) and surveys and interviews with health care providers (n = 15) in Central Texas. Data were examined with thematic analysis (interviews) and descriptive statistics (surveys and inventories). Results For the interviewed patients, screening was important, but inability to work related to a possible diagnosis of dementia was a concern. Both providers and patients agreed that other health issues (e.g., hyperglycemia) took precedence over cognitive screening. Providers (96.7%) were expected to screen patients but lacked clinic support and time; they relied on patients for initial prompts. Only one clinic required staff education on cognitive screening, with an emphasis on potential cultural differences in test results and adequate resources related to dementia for Latinx adults. Conclusions Clinics serving Latinx adults have a responsibility to deliver appropriate care. Leadership should consider innovative practices such as the creation, with patients, of educational materials for screening-a need highlighted by most participants.
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Affiliation(s)
- Heather Cuevas
- The University of Texas at Austin, School of Nursing, 1710 Red River, Austin, TX 78712, United States
| | - Luryn John-Miller
- The University of Texas at Austin, College of Liberal Arts, 116 Inner Campus Drive, Austin, TX 78712, United States
| | - Julie Zuñiga
- The University of Texas at Austin, School of Nursing, 1710 Red River, Austin, TX 78712, United States
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Schoenborn NL, Blackford AL, Joshu CE, Boyd C, Varadhan R. Life expectancy estimates based on comorbidities and frailty to inform preventive care. J Am Geriatr Soc 2022; 70:99-109. [PMID: 34536287 PMCID: PMC8742754 DOI: 10.1111/jgs.17468] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 08/11/2021] [Accepted: 08/22/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Long-term prognostication is important to inform preventive care in older adults. Existing prediction indices incorporate age and comorbidities. Frailty is another important factor in prognostication. In this project, we aimed at developing life expectancy estimates that incorporate both comorbidities and frailty. METHODS In this retrospective cohort study, we used data from a 5% sample of Medicare beneficiaries with and without history of cancer from Surveillance, Epidemiology, and End Results (SEER) cancer registry areas. We included adults aged 66-95 years who were continuously enrolled in fee-for-service Medicare for ≥1 year from 1998 to 2014. Participants were followed for survival until 12/31/2015, death, or disenrollment. Comorbidity (none, low/medium, high) and frailty categories (low, high) were defined using established methods for claims. We estimated 5- and 10-year survival probabilities and median life expectancies by age, sex, comorbidities, and frailty. RESULTS The study included 479,646 individuals (4,128,316 person-years), of whom most were women (58.7%). Frailty scores varied widely among participants in the same comorbidity category. In Cox models, both comorbidities and frailty were independent predictors of mortality. Individuals with high comorbidities (HR, 3.24; 95% CI, 3.20-3.28) and low/medium comorbidities (HR, 1.36; 95% CI, 1.34-1.39) had higher risks of death than those with no comorbidities. Compared to low frailty, high frailty was associated with higher risk of death (HR, 1.55; 95% CI, 1.52-1.58). Frailty affected life expectancy estimates in ways relevant to preventive care (i.e., distinguishing <10-year versus >10-year life expectancy) in multiple subgroups. CONCLUSION Incorporating both comorbidities and frailty may be important in estimating long-term life expectancies of older adults. Our life expectancy tables can aid clinicians' prognostication and inform simulation models and population health management.
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Affiliation(s)
- Nancy L. Schoenborn
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD
| | - Amanda L. Blackford
- Johns Hopkins University School of Medicine, Department of Oncology, Division of Biostatistics and Bioinformatics, Baltimore, MD
| | - Corinne E. Joshu
- Johns Hopkins University School of Public Health, Department of Epidemiology, Baltimore, MD
| | - Cynthia Boyd
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD
| | - Ravi Varadhan
- Johns Hopkins University School of Medicine, Department of Oncology, Division of Biostatistics and Bioinformatics, Baltimore, MD
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Pilla SJ, Pitts SI, Maruthur NM. High Concurrent Use of Sulfonylureas and Antimicrobials With Drug Interactions Causing Hypoglycemia. J Patient Saf 2022; 18:e217-e224. [PMID: 32569099 DOI: 10.1097/pts.0000000000000739] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Sulfonylureas, the second most common oral diabetes treatment, have interactions with antimicrobials that substantially increase the risk of hypoglycemia. The objectives of this study are to quantify the concurrent use of sulfonylureas and interacting antimicrobial in U.S. ambulatory care and to examine whether interacting antimicrobials are used for an appropriate indication. METHODS We analyzed the 2006-2016 National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey, annual probability samples of visits to U.S. office-based physicians. We determined nationally representative estimates of visits for adults with concurrent use of sulfonylureas and 7 antimicrobials with established interactions. We examined whether visit diagnoses included appropriate indications for antibiotics according to national guidelines. RESULTS There were 2.5 million visits per year (95% confidence interval [CI] 2.2-2.9) in which sulfonylureas were used with systemic antimicrobials, of which 1 million (95% CI, 0.8-1.2) or 38.0% (95% CI, 32.3%-44.0%) were interacting antimicrobials. Sulfonylurea users had similar odds of interacting antimicrobial use as patients using diabetes medications without antimicrobial interactions (adjusted odds ratio, 1.07; 95% CI, 0.82-1.40). The most common interacting antimicrobials used with sulfonylureas were fluoroquinolones, accounting for 59.9% (95% CI, 50.7%-68.2%) of antimicrobials, and sulfamethoxazole-trimethoprim, accounting for 21.1% (95% CI, 14.8%-29.2%). There was no appropriate antibiotic indication in 69.7% (95% CI, 55.2%-81.1) of visits with interacting antibiotic use. CONCLUSIONS Sulfonylureas and antimicrobials with potentially hazardous interactions are frequently used together. To reduce resultant hypoglycemic events, there is a need for interventions to increase physician awareness and promote antibiotic stewardship.
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Callahan KE, Lenoir KM, Usoh CO, Williamson JD, Brown LY, Moses AW, Hinely M, Neuwirth Z, Pajewski NM. Using an Electronic Health Record and Deficit Accumulation to Pragmatically Identify Candidates for Optimal Prescribing in Patients With Type 2 Diabetes. Diabetes Spectr 2022; 35:344-350. [PMID: 36082014 PMCID: PMC9396712 DOI: 10.2337/ds21-0068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE Despite guidelines recommending less stringent glycemic goals for older adults with type 2 diabetes, overtreatment is prevalent. Pragmatic approaches for prioritizing patients for optimal prescribing are lacking. We describe glycemic control and medication patterns for older adults with type 2 diabetes in a contemporary cohort, exploring variability by frailty status. RESEARCH DESIGN AND METHODS This was a cross-sectional observational study based on electronic health record (EHR) data, within an accountable care organization (ACO) affiliated with an academic medical center/health system. Participants were ACO-enrolled adults with type 2 diabetes who were ≥65 years of age as of 1 November 2020. Frailty status was determined by an automated EHR-based frailty index (eFI). Diabetes management was described by the most recent A1C in the past 2 years and use of higher-risk medications (insulin and/or sulfonylurea). RESULTS Among 16,973 older adults with type 2 diabetes (mean age 75.2 years, 9,154 women [53.9%], 77.8% White), 9,134 (53.8%) and 6,218 (36.6%) were classified as pre-frail (0.10 < eFI ≤0.21) or frail (eFI >0.21), respectively. The median A1C level was 6.7% (50 mmol/mol) with an interquartile range of 6.2-7.5%, and 74.1 and 38.3% of patients had an A1C <7.5% (58 mmol/mol) and <6.5% (48 mmol/mol), respectively. Frailty status was not associated with level of glycemic control (P = 0.08). A majority of frail patients had an A1C <7.5% (58 mmol/mol) (n = 4,544, 73.1%), and among these patients, 1,755 (38.6%) were taking insulin and/or a sulfonylurea. CONCLUSION Treatment with insulin and/or a sulfonylurea to an A1C levels <7.5% is common in frail older adults. Tools such as the eFI may offer a scalable approach to targeting optimal prescribing interventions.
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Affiliation(s)
- Kathryn E. Callahan
- Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
- Corresponding author: Kathryn E. Callahan,
| | - Kristin M. Lenoir
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Chinenye O. Usoh
- Section on Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jeff D. Williamson
- Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
| | - LaShanda Y. Brown
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
| | - Adam W. Moses
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Molly Hinely
- Department of Pharmacy, Wake Forest Baptist Health, Winston-Salem, NC
| | | | - Nicholas M. Pajewski
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
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Arrieta F, Pedro-Botet J, Iglesias P, Obaya JC, Montanez L, Maldonado GF, Becerra A, Navarro J, Perez JC, Petrecca R, Pardo JL, Ribalta J, Sánchez-Margalet V, Duran S, Tébar FJ, Aguilar M. Diabetes mellitus and cardiovascular risk: an update of the recommendations of the Diabetes and Cardiovascular Disease Working Group of the Spanish Society of Diabetes (SED, 2021). CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS : PUBLICACION OFICIAL DE LA SOCIEDAD ESPANOLA DE ARTERIOSCLEROSIS 2022; 34:36-55. [PMID: 34330545 DOI: 10.1016/j.arteri.2021.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 05/05/2021] [Indexed: 06/13/2023]
Abstract
This document is an update to the clinical practice recommendations for the management of cardiovascular risk factors (CVRF) in diabetes mellitus. The consensus has been developed by a multidisciplinary team made up of members of the Cardiovascular Risk Group of the Spanish Diabetes Society (SED). The work is a necessary update as, since the last review three years ago, there have been many clinical trials that have studied the cardiovascular outcomes of numerous drugs in the diabetic population. We believe that this guideline update may be of interest to all clinicians treating patients with diabetes.
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Affiliation(s)
- Francisco Arrieta
- Servicio de Endocrinología y Nutrición, Hospital Ramón y Cajal, Madrid, España.
| | - Juan Pedro-Botet
- Unidad de Lípidos y Riesgo Vascular, Hospital del Mar, Barcelona, España
| | - Pedro Iglesias
- Servicio de Endocrinología y Nutrición, Hospital Universitario Puerta de Hierro-Majadahonda, Madrid, España
| | - Juan Carlos Obaya
- Centro de Salud CHOPERA, Atención Primaria Alcobendas, Gdt Enfermedades Cardiovasculares Semfyc, Madrid, España
| | - Laura Montanez
- Servicio de Endocrinología y Nutrición, Hospital Ramón y Cajal, Madrid, España
| | | | - Antonio Becerra
- Servicio de Endocrinología y Nutrición, Hospital Ramón y Cajal, Madrid, España
| | - Jorge Navarro
- Hospital Clínico Universitario de Valencia, Gdt Diabetes Semfyc, Valencia, España
| | - J C Perez
- Centro de Salud Rincón de la Victoria, Atención Primaria, Málaga, España
| | - Romina Petrecca
- Unidad de Nutrición y dietética, Hospital de la Princesa, Madrid, España
| | - José Luis Pardo
- Centro de Salud Orihuela I. Médico de Familia, Atención Primaria Alicante, Alicante, España
| | - Josep Ribalta
- Universidad Rovira i Vigili, IISPV, CIBERDEM, Tarragona, España
| | | | - Santiago Duran
- Servicio de Endocrinología y Nutrición, Hospital Virgen de Valme, Sevilla, España
| | - Francisco Javier Tébar
- Servicio de Endocrinología y Nutrición, Hospital Universitario Virgen de la Arrixaca, Murcia, España
| | - Manuel Aguilar
- Servicio de Endocrinología y Nutrición, Hospital Puerta del Mar, Cádiz, España
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Abstract
The increasing incidence of type 2 diabetes in the general population as well as enhanced life expectancy has resulted in a rapid rise in the prevalence of diabetes in the older population. Diabetes causes significant morbidity and impairs quality of life. Managing diabetes in older adults is a daunting task due to unique health and psychosocial challenges. Medical management is complicated by polypharmacy, cognitive impairment, urinary incontinence, injurious falls, and persistent pain. Health care providers now have several traditional and contemporary pharmacologic agents to manage diabetes. Avoidance of hypoglycemia is critical; however, evidence-based guidelines are lacking due to the paucity of clinical trials in older adults. For many in this population, maintaining independence is more important than adherence to published guidelines to prevent diabetes complications. The goal of diabetes care in older adults is to enhance the quality of life without subjecting these patients to intrusive and complicated interventions. Recent technological advancements such as continuous glucose monitoring systems can have crucial supplementary benefits in the geriatric population.
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48
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Scuteri A. Comprehensive Geriatric Assessment (CGA) in patients with DM. JOURNAL OF GERONTOLOGY AND GERIATRICS 2021. [DOI: 10.36150/2499-6564-n454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Pilla SJ, Kraschnewski JL, Lehman EB, Kong L, Francis E, Poger JM, Bryce CL, Maruthur NM, Yeh HC. Hospital utilization for hypoglycemia among patients with type 2 diabetes using pooled data from six health systems. BMJ Open Diabetes Res Care 2021; 9:9/Suppl_1/e002153. [PMID: 34933872 PMCID: PMC8679092 DOI: 10.1136/bmjdrc-2021-002153] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 07/19/2021] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION Hypoglycemia is the most common serious adverse effect of diabetes treatment and a major cause of medication-related hospitalization. This study aimed to identify trends and predictors of hospital utilization for hypoglycemia among patients with type 2 diabetes using electronic health record data pooled from six academic health systems. RESEARCH DESIGN AND METHODS This retrospective open cohort study included 549 041 adults with type 2 diabetes receiving regular care from the included health systems between 2009 and 2019. The primary outcome was the yearly event rate for hypoglycemia hospital utilization: emergency department visits, observation visits, or inpatient admissions for hypoglycemia identified using a validated International Classification of Diseases Ninth Revision (ICD-9) algorithm from 2009 to 2014. After the transition to ICD-10 in 2015, we used two ICD-10 code sets (limited and expanded) for hypoglycemia hospital utilization from prior studies. We identified independent predictors of hypoglycemia hospital utilization using multivariable logistic regression analysis with data from 2014. RESULTS Yearly rates of hypoglycemia hospital utilization decreased from 2.7 to 1.6 events per 1000 patients from 2009 to 2014 (p-trend=0.023). From 2016 to 2019, yearly event rates were stable ranging from 5.6 to 6.6, or 6.3 to 7.3, using the limited and expanded ICD-10 code sets, respectively. In 2014, the strongest independent risk factors for hypoglycemia hospital utilization were chronic kidney disease (OR 2.86, 95% CI 2.33 to 3.57), ages 18-39 years (OR 2.43 vs age 40-64 years, 95% CI 1.78 to 3.31), and insulin use (OR 2.13 vs no diabetes medications, 95% CI 1.67 to 2.73). CONCLUSIONS Rates of hypoglycemia hospital utilization decreased from 2009 to 2014 and varied considerably by clinical risk factors such that younger adults, insulin users, and those with chronic kidney disease were at especially high risk. There is a need to validate hypoglycemia ascertainment using ICD-10 codes, which detect a substantially higher number of events compared with ICD-9.
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Affiliation(s)
- Scott J Pilla
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jennifer L Kraschnewski
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Erik B Lehman
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Lan Kong
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Erica Francis
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Jennifer M Poger
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Cindy L Bryce
- Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Nisa M Maruthur
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Hsin-Chieh Yeh
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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50
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Belli HM, Troxel AB, Blecker SB, Anderman J, Wong C, Martinez TR, Mann DM. A Behavioral Economics-Electronic Health Record Module to Promote Appropriate Diabetes Management in Older Adults: Protocol for a Pragmatic Cluster Randomized Controlled Trial. JMIR Res Protoc 2021; 10:e28723. [PMID: 34704959 PMCID: PMC8581753 DOI: 10.2196/28723] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 07/28/2021] [Accepted: 08/24/2021] [Indexed: 11/13/2022] Open
Abstract
Background The integration of behavioral economics (BE) principles and electronic health records (EHRs) using clinical decision support (CDS) tools is a novel approach to improving health outcomes. Meanwhile, the American Geriatrics Society has created the Choosing Wisely (CW) initiative to promote less aggressive glycemic targets and reduction in pharmacologic therapy in older adults with type 2 diabetes mellitus. To date, few studies have shown the effectiveness of combined BE and EHR approaches for managing chronic conditions, and none have addressed guideline-driven deprescribing specifically in type 2 diabetes. We previously conducted a pilot study aimed at promoting appropriate CW guideline adherence using BE nudges and EHRs embedded within CDS tools at 5 clinics within the New York University Langone Health (NYULH) system. The BE-EHR module intervention was tested for usability, adoption, and early effectiveness. Preliminary results suggested a modest improvement of 5.1% in CW compliance. Objective This paper presents the protocol for a study that will investigate the effectiveness of a BE-EHR module intervention that leverages BE nudges with EHR technology and CDS tools to reduce overtreatment of type 2 diabetes in adults aged 76 years and older, per the CW guideline. Methods A pragmatic, investigator-blind, cluster randomized controlled trial was designed to evaluate the BE-EHR module. A total of 66 NYULH clinics will be randomized 1:1 to receive for 18 months either (1) a 6-component BE-EHR module intervention + standard care within the NYULH EHR, or (2) standard care only. The intervention will be administered to clinicians during any patient encounter (eg, in person, telemedicine, medication refill, etc). The primary outcome will be patient-level CW compliance. Secondary outcomes will measure the frequency of intervention component firings within the NYULH EHR, and provider utilization and interaction with the BE-EHR module components. Results Study recruitment commenced on December 7, 2020, with the activation of all 6 BE-EHR components in the NYULH EHR. Conclusions This study will test the effectiveness of a previously developed, iteratively refined, user-tested, and pilot-tested BE-EHR module aimed at providing appropriate diabetes care to elderly adults, compared to usual care via a cluster randomized controlled trial. This innovative research will be the first pragmatic randomized controlled trial to use BE principles embedded within the EHR and delivered using CDS tools to specifically promote CW guideline adherence in type 2 diabetes. The study will also collect valuable information on clinician workflow and interaction with the BE-EHR module, guiding future research in optimizing the timely delivery of BE nudges within CDS tools. This work will address the effectiveness of BE-inspired interventions in diabetes and chronic disease management. Trial Registration ClinicalTrials.gov NCT04181307; https://clinicaltrials.gov/ct2/show/NCT04181307 International Registered Report Identifier (IRRID) DERR1-10.2196/28723
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Affiliation(s)
- Hayley M Belli
- Division of Biostatistics, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States
| | - Andrea B Troxel
- Division of Biostatistics, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States
| | - Saul B Blecker
- Division of Healthcare Delivery Science, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States.,Department of Medicine, Grossman School of Medicine, New York University, New York, NY, United States
| | - Judd Anderman
- Medical Center Information Technology, New York University Langone Health, New York, NY, United States
| | - Christina Wong
- Medical Center Information Technology, New York University Langone Health, New York, NY, United States
| | - Tiffany R Martinez
- Division of Healthcare Delivery Science, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States
| | - Devin M Mann
- Division of Healthcare Delivery Science, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States.,Department of Medicine, Grossman School of Medicine, New York University, New York, NY, United States.,Medical Center Information Technology, New York University Langone Health, New York, NY, United States
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