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Scherer JS, Gore RJ, Georgia A, Cohen SE, Caplin N, Zhadanova O, Chodosh J, Charytan D, Brody AA. Implementation of Ambulatory Kidney Supportive Care in a Safety Net Hospital. J Pain Symptom Manage 2025; 69:e272-e282. [PMID: 39788301 PMCID: PMC11867855 DOI: 10.1016/j.jpainsymman.2024.12.025] [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: 07/24/2024] [Revised: 11/15/2024] [Accepted: 12/28/2024] [Indexed: 01/12/2025]
Abstract
CONTEXT Chronic kidney disease (CKD) disproportionately impacts lower socioeconomic groups and is associated with many symptoms and complex decisions. Integration of Kidney Supportive Care (KSC) with CKD care can address these needs. To our knowledge, this approach has not been described in an underserved population. OBJECTIVES We describe our adaptation of an ambulatory integrated KSC and CKD clinic for implementation in a safety net hospital. We report our utilization metrics; characteristics of the population served; and visit activities. METHODS We considered modifications from the perspectives of people with CKD, their providers, and the health system. Modifications were informed by meeting notes with key participants (hospital administrators [n = 5], funders [n = 1], and content experts [n = 2]), as well as literature on palliative care program building, safety net hospitals, and KSC. We extracted utilization data for the first 15 months of the clinic's operations, demographics, clinical characteristics, unmet health related social needs, and symptom burden, measured by the Integrated Palliative Outcome Scale-Renal (total Score, and sub-scores of physical, psychological, and practical impact of CKD) from the electronic health record. Results are reported using descriptive statistics. RESULTS Adaptions were proactive and done by clinical and administrative leaders. Meetings identified challenges of the safety net setting including people presenting with advanced disease and having several social needs. Modifications to our base model were made in staffing, data collection, and work flow. Show rate was approximately 68%, with a majority of people identifying as Black or Hispanic, and uninsured or on Medicaid. Symptom burden was lower than previous reports, driven by a better psychological sub-score. CONCLUSIONS We describe a feasible ambulatory care model of KSC in a safety net setting that can serve as a framework for the development of other noncancer palliative care ambulatory clinics. Future work will optimize our model.
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Affiliation(s)
- Jennifer S Scherer
- Department of Medicine (J.S.S., A.G., S.E.C., N.C., O.Z., J.C., D.C., A.A.B.), NYU Grossman School of Medicine, New York, New York, USA.
| | - Radhika J Gore
- Department of Population Health (R.J.G.), NYU Grossman School of Medicine, New York, New York, USA; Family Health Centers at NYU Langone Health (R.J.G.), New York, New York, USA
| | - Annette Georgia
- Department of Medicine (J.S.S., A.G., S.E.C., N.C., O.Z., J.C., D.C., A.A.B.), NYU Grossman School of Medicine, New York, New York, USA
| | - Susan E Cohen
- Department of Medicine (J.S.S., A.G., S.E.C., N.C., O.Z., J.C., D.C., A.A.B.), NYU Grossman School of Medicine, New York, New York, USA
| | - Nina Caplin
- Department of Medicine (J.S.S., A.G., S.E.C., N.C., O.Z., J.C., D.C., A.A.B.), NYU Grossman School of Medicine, New York, New York, USA
| | - Olga Zhadanova
- Department of Medicine (J.S.S., A.G., S.E.C., N.C., O.Z., J.C., D.C., A.A.B.), NYU Grossman School of Medicine, New York, New York, USA
| | - Joshua Chodosh
- Department of Medicine (J.S.S., A.G., S.E.C., N.C., O.Z., J.C., D.C., A.A.B.), NYU Grossman School of Medicine, New York, New York, USA
| | - David Charytan
- Department of Medicine (J.S.S., A.G., S.E.C., N.C., O.Z., J.C., D.C., A.A.B.), NYU Grossman School of Medicine, New York, New York, USA
| | - Abraham A Brody
- Department of Medicine (J.S.S., A.G., S.E.C., N.C., O.Z., J.C., D.C., A.A.B.), NYU Grossman School of Medicine, New York, New York, USA; HIGN, NYU Rory Meyers College of Nursing (A.A.B.), New York, New York, USA
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Bell A, Parry YK, Ankers M, Sivertsen N, Willis E, Kendall S, Yin H. An innovative nurse practitioner-led service for children from families living in housing instability. Prim Health Care Res Dev 2025; 26:e22. [PMID: 40012172 PMCID: PMC11883778 DOI: 10.1017/s1463423625000118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 08/26/2024] [Accepted: 11/21/2024] [Indexed: 02/28/2025] Open
Abstract
AIM To report on the design and results of an innovative nurse practitioner (NP)-led specialist primary care service for children facing housing instability. BACKGROUND During 2017-2018, children aged 0-14 years represented 23% of the total population receiving support from specialist homeless services in Australia. The impact of housing instability on Australian children is considerable, resulting in disengagement from social institutions including health and education, and poorer physical and mental health outcomes across the lifespan. Current services fail to adequately address health and educational needs of children facing housing insecurity. Research identifies similar circumstances for children in other high-income countries. This paper outlines the design, and reports on results of, an innovative NP-led primary care service for children facing housing instability introduced into three not-for-profit faith-based services in one Australian state. METHODS Between 2019 and 2021, 66 children of parents experiencing housing instability received standardized health assessment and referral where appropriate by a NP. Data from the standardized tool, such as condition and severity, were recorded to determine common conditions. In addition, comprehensive case notes recorded by the NP were used to understand potential causes of conditions, and referral needs, including potential barriers. FINDINGS The 66 children assessed were aged between 7 weeks to 16 years. Developmental delay, low immunization rates, and dental caries were the most common conditions identified. Access to appropriate services was inhibited by cost, disengagement, and COVID-19. CONCLUSION Given their advanced skills and knowledge, embedding NPs in specialist homeless services is advantageous to help vulnerable children.
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Affiliation(s)
- Alicia Bell
- College of Nursing and Health Sciences, Flinders University of South Australia, GPO Box 2100, Adelaide5001, Australia
| | - Yvonne K. Parry
- College of Nursing and Health Sciences, Flinders University of South Australia, GPO Box 2100, Adelaide5001, Australia
- Caring Futures Institute, Flinders University of South Australia, GPO Box 2100, Adelaide5001, Australia
| | - Matthew Ankers
- College of Nursing and Health Sciences, Flinders University of South Australia, GPO Box 2100, Adelaide5001, Australia
- Caring Futures Institute, Flinders University of South Australia, GPO Box 2100, Adelaide5001, Australia
| | - Nina Sivertsen
- College of Nursing and Health Sciences, Flinders University of South Australia, GPO Box 2100, Adelaide5001, Australia
- UiT Arctic University of Norway, Faculty of Health Sciences, Hammerfest, Kvaløya, Finnmark, Norway
| | - Eileen Willis
- College of Nursing and Health Sciences, Flinders University of South Australia, GPO Box 2100, Adelaide5001, Australia
- Central Queensland University
| | - Sally Kendall
- University of Kent, Canterbury, KentCT2 7NZ, United Kingdom
| | - Huahua Yin
- Caring Futures Institute, Flinders University of South Australia, GPO Box 2100, Adelaide5001, Australia
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Atta S, Brown RB, Wasser LM, Mayer N, Cassidy J, Liu PJ, Williams AM. Effect of a Patient Portal Reminder Message After No-Show on Appointment Reattendance in Ophthalmology: A Randomized Clinical Trial. Am J Ophthalmol 2024; 263:93-98. [PMID: 38403099 PMCID: PMC11162931 DOI: 10.1016/j.ajo.2024.02.026] [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] [Received: 07/16/2023] [Revised: 01/29/2024] [Accepted: 02/19/2024] [Indexed: 02/27/2024]
Abstract
PURPOSE To assess the efficacy of electronic health record (EHR) messaging for re-engaging patients with ophthalmology care after a missed appointment. DESIGN Prospective, randomized clinical trial. METHODS The study setting was an academic ophthalmology department. The patient population comprised of return patients age 18 years or older with an appointment "no show," or missed appointment. Over 2 phases of recruitment, 362 patients with an active patient portal in the EHR were selected consecutively each business day. Patients were randomized using a web-based tool to receive a reminder to reschedule via a standard mailed letter only (control) or the mailed letter plus an electronic message through the EHR within 1 business day of the missed appointment (intervention). Reengagement with eye care was defined as attendance of a rescheduled appointment within 30 days of the no-show visit. Patient charts were reviewed for demographic and clinical data. RESULTS The average age of recruited patients was 59.9 years, just under half of the sample was male (42.5%, 154/362), and most patients were White (56.9%, 206/362) or Black (36.2%, 131/362). Patients were most commonly recruited from the retina service (39.2%, 142/362) followed by the glaucoma service (29.3%, 106/362). Many patients in this study had previous no-show appointments, with an average no-show rate of 18.8% out of all scheduled visits across our health system. In total, 22.2% (42/189) of patients in the intervention group attended a follow-up appointment within 30 days of their no-show visit compared to 11.6% (20/173) of the control group (OR, 2.186; 95% CI, 1.225-3.898; P = .008). When including only the 74 patients in the intervention group who read the intervention message in the patient portal, 28.4% (21/74) attended a follow-up compared to 11.6% (20/173) of the control group (P = .001). CONCLUSIONS EHR-based reminder messages sent within a business day of a missed appointment may promote re-engagement in ophthalmology care after appointment no-show.
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Affiliation(s)
- Sarah Atta
- From the Department of Ophthalmology (S.A., R.B., L.W., N.M., J.C., A.W.,), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA; Cleveland Clinic (S.A.), Cole Eye Institute, Cleveland, Ohio, USA
| | - Richard B Brown
- From the Department of Ophthalmology (S.A., R.B., L.W., N.M., J.C., A.W.,), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Lauren M Wasser
- From the Department of Ophthalmology (S.A., R.B., L.W., N.M., J.C., A.W.,), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA; Department of Ophthalmology, Shaare Zedek Medical Center (L.W.), Hebrew University, Hadassah School of Medicine, Jerusalem, Israel
| | - Natasha Mayer
- From the Department of Ophthalmology (S.A., R.B., L.W., N.M., J.C., A.W.,), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Julie Cassidy
- From the Department of Ophthalmology (S.A., R.B., L.W., N.M., J.C., A.W.,), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Peggy J Liu
- Department of Business Administration - Marketing and Business Economics Area, Joseph M. Katz Graduate School of Business (P.L.), University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Andrew M Williams
- From the Department of Ophthalmology (S.A., R.B., L.W., N.M., J.C., A.W.,), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
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McLaughlin MT, Moura SP, Edalatpour A, Seitz AJ, Michelotti BF. Insurance Status Predicts Hand Therapy Adherence following Flexor Tendon Repair: A Retrospective Cohort Study. Plast Reconstr Surg 2024; 153:942e-951e. [PMID: 37189235 DOI: 10.1097/prs.0000000000010702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
BACKGROUND Many patients are not adherent to hand therapy rehabilitation following surgical repair of traumatic flexor tendon injuries, which can negatively affect surgical outcomes and long-term hand function. The authors aimed to identify the factors that predict patient nonadherence to hand therapy following flexor tendon repair surgery. METHODS This retrospective cohort study included 154 patients who underwent surgical repair of flexor tendon injuries at a level I trauma center between January of 2015 and January of 2020. A manual chart review was performed to collect demographic data, insurance status, injury characteristics, and details of the postoperative course, including health care use. RESULTS Factors significantly associated with occupational therapy no-shows included Medicaid insurance (OR, 8.35; 95% CI, 2.91 to 24.0; P < 0.001), self-identified Black race (OR, 7.28; 95% CI, 1.78 to 29.7; P = 0.006), and current cigarette smoker status (OR, 2.69; 95% CI, 1.18 to 6.15; P = 0.019). Patients without insurance attended 73.8% of their occupational therapy visits, and patients with Medicaid attended 72.0% of their visits, rates significantly lower than the rate of those with private insurance (90.7%; P = 0.026 and P = 0.001, respectively). Patients with Medicaid were eight times more likely to seek emergency department care postoperatively than patients with private insurance ( P = 0.002). CONCLUSIONS Significant disparities in hand therapy adherence following flexor tendon repair surgery exist between patients with different insurance statuses, races, and tobacco use. Understanding these disparities can help providers identify at-risk patients to improve hand therapy use and postoperative outcomes. CLINICAL QUESTION/LEVEL OF EVIDENCE Risk, II.
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Affiliation(s)
- Matthew T McLaughlin
- From the Division of Plastic and Reconstructive Surgery, University of Wisconsin School of Medicine and Public Health
| | - Steven P Moura
- From the Division of Plastic and Reconstructive Surgery, University of Wisconsin School of Medicine and Public Health
- Boston University School of Medicine
| | - Armin Edalatpour
- From the Division of Plastic and Reconstructive Surgery, University of Wisconsin School of Medicine and Public Health
| | - Allison J Seitz
- From the Division of Plastic and Reconstructive Surgery, University of Wisconsin School of Medicine and Public Health
- McGovern Medical School, University of Texas Health Science Center
| | - Brett F Michelotti
- From the Division of Plastic and Reconstructive Surgery, University of Wisconsin School of Medicine and Public Health
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Gornik AE, Northrup RA, Kalb LG, Jacobson LA, Lieb RW, Peterson RK, Wexler D, Ludwig NN, Ng R, Pritchard AE. To confirm your appointment, please press one: Examining demographic and health system interface factors that predict missed appointments in a pediatric outpatient neuropsychology clinic. Clin Neuropsychol 2024; 38:279-301. [PMID: 37291078 DOI: 10.1080/13854046.2023.2219421] [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: 01/12/2023] [Accepted: 05/24/2023] [Indexed: 06/10/2023]
Abstract
Objective: Missed patient appointments have a substantial negative impact on patient care, child health and well-being, and clinic functioning. This study aims to identify health system interface and child/family demographic characteristics as potential predictors of appointment attendance in a pediatric outpatient neuropsychology clinic. Method: Pediatric patients (N = 6,976 across 13,362 scheduled appointments) who attended versus missed scheduled appointments at a large, urban assessment clinic were compared on a broad array of factors extracted from the medical record, and the cumulative impact of significant risk factors was examined. Results: In the final multivariate logistic regression model, health system interface factors that significantly predicted more missed appointments included a higher percentage of previous missed appointments within the broader medical center, missing pre-visit intake paperwork, assessment/testing appointment type, and visit timing relative to the COVID-19 pandemic (i.e. more missed appointments prior to the pandemic). Demographic characteristics that significantly predicted more missed appointments in the final model included Medicaid (medical assistance) insurance and greater neighborhood disadvantage per the Area Deprivation Index (ADI). Waitlist length, referral source, season, format (telehealth vs. in-person), need for interpreter, language, and age were not predictive of appointment attendance. Taken together, 7.75% of patients with zero risk factors missed their appointment, while 22.30% of patients with five risk factors missed their appointment. Conclusions: Pediatric neuropsychology clinics have a unique array of factors that impact successful attendance, and identification of these factors can help inform policies, clinic procedures, and strategies to decrease barriers, and thus increase appointment attendance, in similar settings.
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Affiliation(s)
- Allison E Gornik
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine University, Baltimore, MD, USA
| | - Rachel A Northrup
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Luther G Kalb
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine University, Baltimore, MD, USA
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Lisa A Jacobson
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine University, Baltimore, MD, USA
| | - Rebecca W Lieb
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine University, Baltimore, MD, USA
| | - Rachel K Peterson
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine University, Baltimore, MD, USA
| | - Danielle Wexler
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Natasha N Ludwig
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine University, Baltimore, MD, USA
| | - Rowena Ng
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine University, Baltimore, MD, USA
| | - Alison E Pritchard
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine University, Baltimore, MD, USA
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Heath G, Clarke R, Ross J, Farrow C. Factors influencing non-attendance at sexual healthcare appointments in the UK: a qualitative study. Sex Health 2023; 20:461-469. [PMID: 37604779 DOI: 10.1071/sh23099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 08/01/2023] [Indexed: 08/23/2023]
Abstract
BACKGROUND Missed sexual healthcare appointments lead to inefficiencies and wasted resources, longer waiting times and poorer outcomes. The aim of this research was to identify factors influencing non-attendance at sexual healthcare appointments and to make recommendations for interventions. METHODS Semi-structured interviews were carried out with UK-based sexual health service-users with experience of booking and missing appointments and sexual health professionals (n =28). Interviews were analysed using a thematic framework approach. RESULTS Perceptual, practical, and organisational factors were found to influence missed appointments. Perceptual factors included beliefs about the outcomes of attending; sense of responsibility to attend; and concerns about privacy and security. Practical factors included competing demands and disruption to daily life; ability to attend; and forgetting. Organisational factors included mode of appointment delivery and availability of appointments. CONCLUSIONS Interventions should combine strategies shown to be effective for overcoming practical barriers to attendance (e.g. reminder systems) with novel strategies communicating the benefits of attending and risks of missed appointments (e.g. behaviourally informed messaging). Text reminders containing behaviourally informed messages may be an efficient intervention for targeting perceptual and practical factors associated with missed appointments. Offering appointment modalities to suit individual preference and enabling service-users to remotely cancel/reschedule appointments maight further support a reduction in missed appointments.
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Affiliation(s)
- Gemma Heath
- School of Psychology, Aston University, Birmingham, UK
| | - Rebecca Clarke
- School of Psychological Science, University of Bristol, Bristol, UK
| | - Jonathan Ross
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Claire Farrow
- School of Psychology, Aston University, Birmingham, UK
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Gromisch ES, Raskin SA, Neto LO, Haselkorn JK, Turner AP. Appointment attendance behaviors in multiple sclerosis: Understanding the factors that differ between no shows, short notice cancellations, and attended appointments. Mult Scler Relat Disord 2023; 70:104509. [PMID: 36638769 DOI: 10.1016/j.msard.2023.104509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/28/2022] [Accepted: 01/05/2023] [Indexed: 01/09/2023]
Abstract
BACKGROUND There has yet to be an examination of how appointment attendance behaviors in multiple sclerosis (MS) are related to scheduling metrics and certain demographic, clinical, and behavioral factors such as cognitive functioning and personality traits. This study aimed to examine the factors that differ between no shows (NS), short notice cancellations (SNC), and attended appointments. METHODS Participants (n = 110) were persons with MS who were enrolled in a larger cross-sectional study, during which they completed a battery of neuropsychological measures. Data about their appointments in three MS-related clinics the year prior to their study evaluation were extracted from the medical record. Bivariate analyses were done, with post-hoc tests conducted with Bonferroni corrections if there was an overall group difference. RESULTS A higher number of SNC were noted during the winter, with 22.4% being due to the weather. SNC were also more common on Thursdays, but less frequent during the early morning time slots (7am to 9am). In contrast, NS were associated with lower annual income, weaker healthcare provider relationships, lower self-efficacy, higher levels of neuroticism, depressive symptom severity, and health distress, and greater cognitive difficulties, particularly with prospective memory. CONCLUSIONS While SNC are related to clinic structure and situational factors like the weather, NS may be more influenced by behavioral issues, such as difficulty remembering an appointment and high levels of distress. These findings highlight potential targets for reducing the number of missed appointments in the clinic, providing opportunities for improved healthcare efficiency and most importantly health.
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Affiliation(s)
- Elizabeth S Gromisch
- Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, 490 Blue Hills Avenue, Hartford, CT 06112, USA; Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT 06473, USA; Department of Medical Sciences, Frank H. Netter MD School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT 06473, USA; Department of Neurology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT 06030, USA.
| | - Sarah A Raskin
- Neuroscience Program, Trinity College, 300 Summit Street, Hartford, CT 06106, USA; Department of Psychology, Trinity College, 300 Summit Street, Hartford, CT 06106, USA
| | - Lindsay O Neto
- Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, 490 Blue Hills Avenue, Hartford, CT 06112, USA; Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT 06473, USA
| | - Jodie K Haselkorn
- Multiple Sclerosis Center of Excellence West, Veterans Affairs, 1660 South Columbian Way, Seattle, WA 98108, USA; Rehabilitation Care Service, VA Puget Sound Health Care System, 1660 South Columbian Way, Seattle, WA 98108, USA; Department of Rehabilitation Medicine, University of Washington, 325 Ninth Avenue, Seattle, WA 98104, USA; Department of Epidemiology, University of Washington, 325 Ninth Avenue, Seattle, WA, 98104, USA
| | - Aaron P Turner
- Multiple Sclerosis Center of Excellence West, Veterans Affairs, 1660 South Columbian Way, Seattle, WA 98108, USA; Rehabilitation Care Service, VA Puget Sound Health Care System, 1660 South Columbian Way, Seattle, WA 98108, USA; Department of Rehabilitation Medicine, University of Washington, 325 Ninth Avenue, Seattle, WA 98104, USA
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Oikonomidi T, Norman G, McGarrigle L, Stokes J, van der Veer SN, Dowding D. Predictive model-based interventions to reduce outpatient no-shows: a rapid systematic review. J Am Med Inform Assoc 2022; 30:559-569. [PMID: 36508503 PMCID: PMC9933067 DOI: 10.1093/jamia/ocac242] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/24/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Outpatient no-shows have important implications for costs and the quality of care. Predictive models of no-shows could be used to target intervention delivery to reduce no-shows. We reviewed the effectiveness of predictive model-based interventions on outpatient no-shows, intervention costs, acceptability, and equity. MATERIALS AND METHODS Rapid systematic review of randomized controlled trials (RCTs) and non-RCTs. We searched Medline, Cochrane CENTRAL, Embase, IEEE Xplore, and Clinical Trial Registries on March 30, 2022 (updated on July 8, 2022). Two reviewers extracted outcome data and assessed the risk of bias using ROB 2, ROBINS-I, and confidence in the evidence using GRADE. We calculated risk ratios (RRs) for the relationship between the intervention and no-show rates (primary outcome), compared with usual appointment scheduling. Meta-analysis was not possible due to heterogeneity. RESULTS We included 7 RCTs and 1 non-RCT, in dermatology (n = 2), outpatient primary care (n = 2), endoscopy, oncology, mental health, pneumology, and an magnetic resonance imaging clinic. There was high certainty evidence that predictive model-based text message reminders reduced no-shows (1 RCT, median RR 0.91, interquartile range [IQR] 0.90, 0.92). There was moderate certainty evidence that predictive model-based phone call reminders (3 RCTs, median RR 0.61, IQR 0.49, 0.68) and patient navigators reduced no-shows (1 RCT, RR 0.55, 95% confidence interval 0.46, 0.67). The effect of predictive model-based overbooking was uncertain. Limited information was reported on cost-effectiveness, acceptability, and equity. DISCUSSION AND CONCLUSIONS Predictive modeling plus text message reminders, phone call reminders, and patient navigator calls are probably effective at reducing no-shows. Further research is needed on the comparative effectiveness of predictive model-based interventions addressed to patients at high risk of no-shows versus nontargeted interventions addressed to all patients.
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Affiliation(s)
- Theodora Oikonomidi
- Corresponding Author: Theodora Oikonomidi, PhD, Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK;
| | - Gill Norman
- National Institute for Health and Care Research Applied Research Collaboration Greater Manchester, Manchester, UK,Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Laura McGarrigle
- National Institute for Health and Care Research Applied Research Collaboration Greater Manchester, Manchester, UK,Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jonathan Stokes
- Centre for Primary Care & Health Services Research, The University of Manchester, Manchester, UK,MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Sabine N van der Veer
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK,National Institute for Health and Care Research Applied Research Collaboration Greater Manchester, Manchester, UK
| | - Dawn Dowding
- National Institute for Health and Care Research Applied Research Collaboration Greater Manchester, Manchester, UK,Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
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Zdonczyk AN, Gupte G, Schroeder A, Sathappan V, Lee AR, Culican SM. Income Disparities in Outcomes of Horizontal Strabismus Surgery in a Pediatric Population. J Pediatr Ophthalmol Strabismus 2022; 59:156-163. [PMID: 34928767 PMCID: PMC9133206 DOI: 10.3928/01913913-20210824-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
PURPOSE To examine postoperative outcomes in pediatric patients undergoing strabismus surgery to determine the potential impact of socioeconomic disparities on ophthalmic outcomes. METHODS This study included 284 children undergoing strabismus surgery at a tertiary institution with at least 11 months of follow-up and no prior strabismus surgery or other neurologic or ophthalmologic conditions. Demographics, insurance, operative parameters, and appointments scheduled/attended were collected via chart review. Ocular alignment was recorded preoperatively and postoperatively at 3, 12, and 24 months. Two-sided t tests and chi-squared analyses were used to compare demographic and operative parameters. Logistic regression was employed to determine predictive factors for ophthalmic outcomes. RESULTS There was no difference in failure rates between patients with Medicaid and patients with private insurance 24 months postoperatively (45.9% vs 50.5%, respectively, P = .46). Patients with Medicaid were more likely to not follow up postoperatively (28.2% vs 9.6%, respectively, P < .01), whereas patients with private insurance were more likely to complete more than three follow-up appointments in 24 months (21.5% vs 39.0%, respectively, P < .01). Postoperative attendance was linked to Medicaid status (P < .01) but not travel time, neighborhood income levels, or social deprivation index factors. CONCLUSIONS There was no difference in failure rates between patients with Medicaid and patients with private insurance. Medicaid status was significantly predictive of loss to follow-up. [J Pediatr Ophthalmol Strabismus. 2022;59(3):156-163.].
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