1
|
Horecki P, Deming J, Lagunas M, Brustad R, Okuno S, Manz J, Christensen S, Suhail Z. Improve Advance Care Planning: A Brief Report Discussing Goals of Care Interventions to Improve Communication Among Health Care Teams and Patients Maximizing the Use of the Electronic Health Record Tools. J Palliat Med 2024. [PMID: 38364111 DOI: 10.1089/jpm.2023.0580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024] Open
Abstract
Introduction: A key element of advance care planning (ACP) is the goals of care (GOC) conversation between the provider and the patient. The value of meaningful GOC conversations for the patient, provider, and health care institution is well documented. However, if the GOC documentation is buried in the medical record, not well defined, or poorly documented, that value is squandered. The Improvement Process: Interventions were implemented with oncology physicians and nurse practitioners (NPs). These included education, system reform including improving the ease and consistency of documentation of ACP, and regular feedback. Results: Participants reported increased confidence in communication skills about GOC conversations postworkshops. Data results for the tracked metrics, health care power of attorney, code status, and GOC, all showed improvement. Conclusion: Physicians and NPs recognized the importance of GOC conversations as part of ACP. Considerable progress was made by focusing on GOC conversations, maximizing information technology, participating in coaching, and ongoing data monitoring.
Collapse
Affiliation(s)
- Patty Horecki
- Department of Experience Training, Education, and Coaching, Mayo Clinic Health System, NWWI, Eau Claire, Wisconsin, USA
| | - James Deming
- Department of Clinical Medicine, Palliative Care, Mayo Clinic Health System, NWWI, Eau Claire, Wisconsin, USA
| | - Meg Lagunas
- Department of Nursing, University of Wisconsin, Eau Claire, Eau Claire, Wisconsin, USA
| | - Rebecca Brustad
- Department of Quality, Mayo Clinic, Rochester, Minnesota, USA
| | - Scott Okuno
- Department of Oncology, Mayo Clinic Health System, NWWI, Eau Claire, Wisconsin, USA
| | - James Manz
- Department of Spine, Neurological Surgery, Mayo Clinic Health System, NWWI, Eau Claire, Wisconsin, USA
| | - Sue Christensen
- Administration, Mayo Clinic Health System, NWWI, Eau Claire, Wisconsin, USA
| | - Zoha Suhail
- Department of Nursing, University of Wisconsin, Eau Claire, Eau Claire, Wisconsin, USA
| |
Collapse
|
2
|
Kunneman M, Branda ME, Ridgeway JL, Tiedje K, May CR, Linzer M, Inselman J, Buffington ALH, Coffey J, Boehm D, Deming J, Dick S, van Houten H, LeBlanc A, Liesinger J, Lima J, Nordeen J, Pencille L, Poplau S, Reed S, Vannelli A, Yost KJ, Ziegenfuss JY, Smith SA, Montori VM, Shah ND. Correction to: Making sense of diabetes medication decisions: a mixed methods cluster randomized trial using a conversation aid intervention. Endocrine 2023; 79:221-222. [PMID: 36357824 PMCID: PMC9813200 DOI: 10.1007/s12020-022-03240-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Marleen Kunneman
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
- Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Megan E Branda
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado-Denver Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jennifer L Ridgeway
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Kristina Tiedje
- Laboratoire d'anthropologie des enjeux contemporains, Lyon, France
| | - Carl R May
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Mark Linzer
- Department of Medicine, Hennepin Healthcare and University of Minnesota, Minneapolis, MN, USA
| | - Jonathan Inselman
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, USA
| | - Angela L H Buffington
- Department of Psychiatry and Psychology, Mayo Clinic Health System, Mankato, MN, USA
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Jordan Coffey
- Practice-Based Research Network, Mayo Clinic, Rochester, MN, USA
- Center for Translational Science Activities, Mayo Clinic, Rochester, MN, USA
| | - Deborah Boehm
- Center for Patient and Provider Experience, Hennepin County Medical Center, Minneapolis, MN, USA
- School of Nursing, University of Minnesota, Minneapolis, MN, USA
- Decision Partners for Health, Richfield, MN, USA
| | - James Deming
- Mayo Clinic Health System Northwest Wisconsin, (dept) Home Health and Hospice, Eau Claire, WI, USA
| | - Sara Dick
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
| | - Holly van Houten
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Annie LeBlanc
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
- Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec, QC, Canada
| | - Juliette Liesinger
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, USA
| | - Janet Lima
- Park Nicollet International Diabetes Center, St. Louis Park, MN, USA
| | | | - Laurie Pencille
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
- Kern Center for the Science of Health Care Deliver, Mayo Clinic, Rochester, MN, USA
| | - Sara Poplau
- Office of Professional Worklife, Hennepin Healthcare, Minneapolis, MN, USA
| | - Steven Reed
- Department of Internal Medicine, Park Nicollet Clinic, Brooklyn Center, MN, USA
| | - Anna Vannelli
- Park Nicollet International Diabetes Center, St. Louis Park, MN, USA
| | - Kathleen J Yost
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jeanette Y Ziegenfuss
- Division of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Center for Evaluation and Survey Research, HealthPartners Institute, Bloomington, IN, USA
| | - Steven A Smith
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
| | - Victor M Montori
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
| | - Nilay D Shah
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, USA.
| |
Collapse
|
3
|
Lagunas M, Petit SD, Deming J, Horecki P, Brustad R, Manz JW, Okuno SH, Christensen SM. Letter to the Editor: The Effectiveness of Empathic Communication Training on Goals of Care and End-of-Life Conversations. J Palliat Med 2022; 25:1616-1617. [PMID: 36608318 DOI: 10.1089/jpm.2022.0291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Affiliation(s)
- Meg Lagunas
- College of Nursing and Health Sciences, University of Wisconsin-Eau Claire, Eau Claire, Wisconsin, USA
| | | | - James Deming
- Mayo Clinic College of Medicine and Science, Palliative Medicine, Eau Claire, Wisconsin, USA
| | | | | | - James W Manz
- Mayo Clinic College of Medicine and Science, Palliative Medicine, Eau Claire, Wisconsin, USA
| | - Scott H Okuno
- Mayo Clinic College of Medicine and Science, Palliative Medicine, Eau Claire, Wisconsin, USA
| | | |
Collapse
|
4
|
Kunneman M, Branda ME, Ridgeway JL, Tiedje K, May CR, Linzer M, Inselman J, Buffington ALH, Coffey J, Boehm D, Deming J, Dick S, van Houten H, LeBlanc A, Liesinger J, Lima J, Nordeen J, Pencille L, Poplau S, Reed S, Vannelli A, Yost KJ, Ziegenfuss JY, Smith SA, Montori VM, Shah ND. Making sense of diabetes medication decisions: a mixed methods cluster randomized trial using a conversation aid intervention. Endocrine 2022; 75:377-391. [PMID: 34499328 PMCID: PMC8428215 DOI: 10.1007/s12020-021-02861-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 08/27/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE To determine the effectiveness of a shared decision-making (SDM) tool versus guideline-informed usual care in translating evidence into primary care, and to explore how use of the tool changed patient perspectives about diabetes medication decision making. METHODS In this mixed methods multicenter cluster randomized trial, we included patients with type 2 diabetes mellitus and their primary care clinicians. We compared usual care with or without a within-encounter SDM conversation aid. We assessed participant-reported decisions made and quality of SDM (knowledge, satisfaction, and decisional conflict), clinical outcomes, adherence, and observer-based patient involvement in decision-making (OPTION12-scale). We used semi-structured interviews with patients to understand their perspectives. RESULTS We enrolled 350 patients and 99 clinicians from 20 practices and interviewed 26 patients. Use of the conversation aid increased post-encounter patient knowledge (correct answers, 52% vs. 45%, p = 0.02) and clinician involvement of patients (Mean between-arm difference in OPTION12, 7.3 (95% CI 3, 12); p = 0.003). There were no between-arm differences in treatment choice, patient or clinician satisfaction, encounter length, medication adherence, or glycemic control. Qualitative analyses highlighted differences in how clinicians involved patients in decision making, with intervention patients noting how clinicians guided them through conversations using factors important to them. CONCLUSIONS Using an SDM conversation aid improved patient knowledge and involvement in SDM without impacting treatment choice, encounter length, medication adherence or improved diabetes control in patients with type 2 diabetes. Future interventions may need to focus specifically on patients with signs of poor treatment fit. CLINICAL TRIAL REGISTRATION ClinicalTrial.gov: NCT01502891.
Collapse
Affiliation(s)
- Marleen Kunneman
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
- Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Megan E Branda
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado-Denver Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jennifer L Ridgeway
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Kristina Tiedje
- Laboratoire d'anthropologie des enjeux contemporains, Lyon, France
| | - Carl R May
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Mark Linzer
- Department of Medicine, Hennepin Healthcare and University of Minnesota, Minneapolis, MN, USA
| | - Jonathan Inselman
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, USA
| | - Angela L H Buffington
- Department of Psychiatry and Psychology, Mayo Clinic Health System, Mankato, MN, USA
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Jordan Coffey
- Practice-Based Research Network, Mayo Clinic, Rochester, MN, US
- Center for Translational Science Activities, Mayo Clinic, Rochester, MN, USA
| | - Deborah Boehm
- Center for Patient and Provider Experience, Hennepin County Medical Center, Minneapolis, MN, USA
- School of Nursing, University of Minnesota, Minneapolis, MN, USA
- Decision Partners for Health, Richfield, MN, USA
| | - James Deming
- Mayo Clinic Health System Northwest Wisconsin, (dept) Home Health and Hospice, Eau Claire, WI, USA
| | - Sara Dick
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
| | - Holly van Houten
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Annie LeBlanc
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
- Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec, QC, Canada
| | - Juliette Liesinger
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, USA
| | - Janet Lima
- Park Nicollet International Diabetes Center, St. Louis Park, MN, USA
| | | | - Laurie Pencille
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
- Kern Center for the Science of Health Care Deliver, Mayo Clinic, Rochester, MN, USA
| | - Sara Poplau
- Office of Professional Worklife, Hennepin Healthcare, Minneapolis, MN, USA
| | - Steven Reed
- Department of Internal Medicine, Park Nicollet Clinic, Brooklyn Center, MN, USA
| | - Anna Vannelli
- Park Nicollet International Diabetes Center, St. Louis Park, MN, USA
| | - Kathleen J Yost
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jeanette Y Ziegenfuss
- Division of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Center for Evaluation and Survey Research, HealthPartners Institute, Bloomington, USA
| | - Steven A Smith
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
| | - Victor M Montori
- Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
| | - Nilay D Shah
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, USA.
| |
Collapse
|
5
|
Deming J, Kinsella J, O'Brien B, Shalloo L. An examination of the effects of labor efficiency on the profitability of grass-based, seasonal-calving dairy farms. J Dairy Sci 2019; 102:8431-8440. [PMID: 31255262 DOI: 10.3168/jds.2018-15299] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 04/30/2019] [Indexed: 11/19/2022]
Abstract
The seasonality of grass-based, seasonal-calving dairy systems results in disproportionately higher labor demands during the spring, when cows are calving, than in the remaining seasons. This study aimed to (1) examine the relationship between labor efficiency and profitability; (2) investigate strategies to reduce the hours worked per day by the farmer, family, and farm staff in the spring by having certain tasks outsourced; and (3) quantify the economic implications of those strategies. Data from an existing labor efficiency study on Irish dairy farms were used in conjunction with economic performance data from the farms. Tasks that required the highest level of farm labor per day in the spring were identified and hypothetical strategies to reduce the farm hours worked per day were examined. A stochastic budgetary simulation model was then used to examine the economic implications of employing these strategies and the effects of their use in conjunction with a proportionate increase in cow numbers that would leave the hours worked per day unchanged. The strategies were to use contractors to perform calf rearing, machinery work, or milking. Contracting out milking resulted in the greatest reduction in hours worked per day (5.6 h/d) followed by calf rearing (2.7 h/d) and machinery work (2 h/d). Reducing the hours worked per day by removing those tasks had slight (i.e., <5%) negative effects on profitability; however, maintaining the farm hours worked per day while utilizing the same strategies and increasing herd sizes resulted in profitable options. The most profitable scenario was for farms to increase herd size while contracting out milking.
Collapse
Affiliation(s)
- J Deming
- Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996 Ireland; School of Agriculture and Food Science, University College Dublin, Belfield, Co. Dublin, D04 V1W8 Ireland.
| | - J Kinsella
- School of Agriculture and Food Science, University College Dublin, Belfield, Co. Dublin, D04 V1W8 Ireland
| | - B O'Brien
- Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996 Ireland
| | - L Shalloo
- Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996 Ireland
| |
Collapse
|
6
|
Deming J, Gleeson D, O'Dwyer T, Kinsella J, O'Brien B. Measuring labor input on pasture-based dairy farms using a smartphone. J Dairy Sci 2018; 101:9527-9543. [DOI: 10.3168/jds.2017-14288] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 05/29/2018] [Indexed: 11/19/2022]
|
7
|
Erickson PS, Marston SP, Gemmel M, Deming J, Cabral RG, Murphy MR, Marden JI. Short communication: Kelp taste preferences by dairy calves. J Dairy Sci 2012; 95:856-8. [PMID: 22281349 DOI: 10.3168/jds.2011-4826] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2011] [Accepted: 10/21/2011] [Indexed: 01/10/2024]
Abstract
Kelp is a common feed additive used on many dairy farms in the United States. However, few data are available supporting the efficacy of its addition to cattle feed. The purpose of this study was to evaluate the taste preferences of calves provided with 0, 30, or 60 g of kelp daily in a sequential elimination experiment. Calves in this study always ranked the control treatment first when given a choice and consumed 34.5% more dry matter from the control treatment in the first 3-d segment of the experiment. During the second feeding segment (d 4 and 5), when the control treatment was removed, daily dry matter consumption was reduced in 4 out of 6 calves compared with control calves when this treatment was available (first feeding segment). However, calves did not differentiate between the 2 amounts of kelp. Results indicated that calves preferred calf starter grains without kelp.
Collapse
Affiliation(s)
- P S Erickson
- Department of Biological Sciences, University of New Hampshire, Durham 03824, USA.
| | | | | | | | | | | | | |
Collapse
|
8
|
Montori VM, Deming J, Shah ND. How should clinicians and patients choose antihyperglycemic agents?: an evidence-based approach. Pol Arch Med Wewn 2011; 121:208-212. [PMID: 21694685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
The choice of antihyperglycemic agents has become more complex as new drug classes have appeared and evidence about their efficacy and safety accumulates. Unfortunately, direct and fair comparisons are lacking and the clinician and patient are left to decide among agents with different safety and burden profiles. Furthermore, the relative efficacy of these agents beyond their ability to lower hemoglobin A1c - that is, in their ability to reduce the risk of diabetes complications - remains uncertain. In this sea of uncertainty, interests other than those of the patient actively shape choices. It is our expectation that better evidence, better policy and better decisions will eventually become routine in the care of patients with diabetes.
Collapse
Affiliation(s)
- Victor M Montori
- Knowledge and Evaluation Research Unit, Division of Diabetes and Endocrinology, Mayo Clinic, Rochester, Minnesota, United States
| | | | | |
Collapse
|
9
|
Montori VM, Deming J, Shah ND. How should clinicians and patients choose antihyperglycemic agents? An evidence-based approach. Pol Arch Intern Med 2011. [DOI: 10.20452/pamw.1059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
10
|
Deming J. Rescuing workers in violent families. HRMAGAZINE 1991; 36:46-8. [PMID: 10112705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
|