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Andrikopoulou E, Chatzistergos P, Chockalingam N. Exploring the Pathways of Diabetes Foot Complications Treatment and Investigating Experiences From Frontline Health Care Professionals: Protocol for a Mixed Methods Study. JMIR Res Protoc 2024; 13:e54852. [PMID: 38656782 PMCID: PMC11079765 DOI: 10.2196/54852] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/31/2024] [Accepted: 03/11/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Diabetes affects more than 4.3 million individuals in the United Kingdom, with 19% to 34% developing diabetes-related foot ulceration (DFU) during their lifespan, which can lead to an amputation. In the United Kingdom, every week, approximately 169 people have an amputation due to diabetes. Preventing first-ever ulcers is the most effective strategy to reduce the occurrence of diabetes-related amputations, but research in this space is lacking. OBJECTIVE This protocol seeks to document the experiences and perspectives of frontline health care professionals who work with people who have diabetes and diabetes-related foot problems. Special attention is given to their perceptions of barriers to effective care, their views about barriers to effective and inclusive engagement with people with diabetes, and their experience with the first-ever DFU. Another aspect of the study is the focus on whether clinical management is affected by data sharing, data availability, and interoperability issues. METHODS This is a mixed methods explanatory protocol, which is sequential, and its purpose is to use the qualitative data to explain the initial quantitative data collected through a survey of frontline health care professionals. Data analysis of quantitative data will be completed first and then synthesized with the qualitative data analysis. Qualitative data will be analyzed using the framework method. This study will use joint displays to integrate the data. Ethical approval has been granted by the ethics committee of Staffordshire University. RESULTS The quantitative data collection started in March 2023 and will close in May 2024. The qualitative interviews commenced in November 2023 with volunteer participants who initially completed the survey. CONCLUSIONS This study's survey focuses on data interoperability and the interviews focus more on the perspectives and experiences of clinicians and their perceived barriers for the effective management of diabetes foot ulcers. Including a geographically relevant and diverse cohort of health care professionals that spans a wide range of roles and care settings involved in diabetes-related foot care is very important for the successful application of this protocol. Special care is given to advertise and promote participation as widely as possible. The qualitative part of this protocol is also limited to 30-40 interview participants, as it is not realistic to interview higher numbers, due to time and resource constraints. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/54852.
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Affiliation(s)
| | - Panagiotis Chatzistergos
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke on Trent, United Kingdom
| | - Nachiappan Chockalingam
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke on Trent, United Kingdom
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Wickwire EM, Collen J, Capaldi VF, Williams SG, Assefa SZ, Adornetti JP, Huang K, Venezia JM, Jones RL, Johnston CW, Thomas C, Thomas MA, Mounts C, Drake CL, Businelle MS, Grandner MA, Manber R, Albrecht JS. Patient Engagement and Provider Effectiveness of a Novel Sleep Telehealth Platform and Remote Monitoring Assessment in the US Military: Pilot Study Providing Evidence-Based Sleep Treatment Recommendations. JMIR Form Res 2023; 7:e47356. [PMID: 37971788 PMCID: PMC10690521 DOI: 10.2196/47356] [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] [Received: 03/30/2023] [Revised: 09/07/2023] [Accepted: 09/11/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Sleep problems are common and costly in the US military. Yet, within the military health system, there is a gross shortage of trained specialist providers to address sleep problems. As a result, demand for sleep medicine care far exceeds the available supply. Telehealth including telemedicine, mobile health, and wearables represents promising approaches to increase access to high-quality and cost-effective care. OBJECTIVE The purpose of this study was to evaluate patient engagement and provider perceived effectiveness of a novel sleep telehealth platform and remote monitoring assessment in the US military. The platform includes a desktop web portal, native mobile app, and integrated wearable sensors (ie, a commercial off-the-shelf sleep tracker [Fitbit]). The goal of the remote monitoring assessment was to provide evidence-based sleep treatment recommendations to patients and providers. METHODS Patients with sleep problems were recruited from the Internal Medicine clinic at Walter Reed National Military Medical Center. Patients completed intensive remote monitoring assessments over 10 days (including a baseline intake questionnaire, daily sleep diaries, and 2 daily symptom surveys), and wore a Fitbit sleep tracker. Following the remote monitoring period, patients received assessment results and personalized sleep education in the mobile app. In parallel, providers received a provisional patient assessment report in an editable electronic document format. Patient engagement was assessed via behavioral adherence metrics that were determined a priori. Patients also completed a brief survey regarding ease of completion. Provider effectiveness was assessed via an anonymous survey. RESULTS In total, 35 patients with sleep problems participated in the study. There were no dropouts. Results indicated a high level of engagement with the sleep telehealth platform, with all participants having completed the baseline remote assessment, reviewed their personalized sleep assessment report, and completed the satisfaction survey. Patients completed 95.1% of sleep diaries and 95.3% of symptom surveys over 10 days. Patients reported high levels of satisfaction with most aspects of the remote monitoring assessment. In total, 24 primary care providers also participated and completed the anonymous survey. The results indicate high levels of perceived effectiveness and identified important potential benefits from adopting a sleep telehealth approach throughout the US military health care system. CONCLUSIONS Military patients with sleep problems and military primary care providers demonstrated high levels of engagement and satisfaction with a novel sleep telehealth platform and remote monitoring assessment. Sleep telehealth approaches represent a potential pathway to increase access to evidence-based sleep medicine care in the US military. Further evaluation is warranted.
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Affiliation(s)
- Emerson M Wickwire
- Sleep Disorders Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Jacob Collen
- Sleep Disorders Center, Walter Reed National Military Medical Center, Bethesda, MD, United States
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Vincent F Capaldi
- Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Scott G Williams
- Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Samson Z Assefa
- Sleep Disorders Center, Fort Belvoir Community Hospital, Fort Belvoir, VA, United States
| | - Julianna P Adornetti
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Kathleen Huang
- Center for Military Psychiatry and Neuroscience, Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Janet M Venezia
- Center for Military Psychiatry and Neuroscience, Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Rachell L Jones
- Center for Military Psychiatry and Neuroscience, Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Christine W Johnston
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Connie Thomas
- Center for Military Psychiatry and Neuroscience, Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Mary Ann Thomas
- Sleep Disorders Center, Walter Reed National Military Medical Center, Bethesda, MD, United States
| | - Charles Mounts
- Sleep Disorders Center, Walter Reed National Military Medical Center, Bethesda, MD, United States
| | | | - Michael S Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, United States
| | - Michael A Grandner
- Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, United States
| | - Rachel Manber
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Palo Alto, CA, United States
| | - Jennifer S Albrecht
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States
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Rowland P, Kennedy C. Implementing effective care by improving attendance to the comprehensive postpartum visit in an urban hospital practice. Nurs Forum 2022; 57:1606-1613. [PMID: 36069565 DOI: 10.1111/nuf.12796] [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] [Received: 01/31/2022] [Revised: 07/25/2022] [Accepted: 07/28/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Approximately 40% of postpartum patients do not return for comprehensive postpartum visits. Up to 20% of postpartum patients suffer from depression or anxiety. One-third of deaths related to pregnancy occur between 7 days to 1-year postpartum. Only 27% of new moms returned for comprehensive postpartum or check-in visits during the first 3 weeks postpartum. The providers did not perform depression screening for these postpartum outpatients. This quality initiative aimed to provide effective care by increasing postpartum follow-up to 80% in 90 days. METHOD The core interventions in this project included schedule logs, telehealth check-in visits within 1-3 weeks postpartum, screening with the Edinburgh Postnatal Depression Scale (EPDS), and a team engagement plan. RESULTS Sixty-eight percent (68.8%) of patients attended check-in visits, and staff screened 90.9% of patients with the EPDS. Patients who checked-in benefited from visits, making patients more than four times more likely to attend comprehensive visits. Overall attendance for the comprehensive visit increased from 27% to 57% (p < .001). DISCUSSION This initiative increased attendance at postpartum visits at a statistically significant rate. Implementing a schedule log, postpartum check-in visits, and depression screening increased effective care and attendance at comprehensive postpartum visits.
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Affiliation(s)
- Paige Rowland
- Department of Obstetrics and Gynecology, Einstein Medical Center, Philadelphia, Pennsylvania, USA
| | - Christopher Kennedy
- Doctor of Nursing Practice Progam, Frontier Nursing University, Versailles, Kentucky, USA
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Harrison R, Manias E, Mears S, Heslop D, Hinchcliff R, Hay L. Addressing unwarranted clinical variation: A rapid review of current evidence. J Eval Clin Pract 2019; 25:53-65. [PMID: 29766616 DOI: 10.1111/jep.12930] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Revised: 03/18/2018] [Accepted: 03/19/2018] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Unwarranted clinical variation (UCV) can be described as variation that can only be explained by differences in health system performance. There is a lack of clarity regarding how to define and identify UCV and, once identified, to determine whether it is sufficiently problematic to warrant action. As such, the implementation of systemic approaches to reducing UCV is challenging. A review of approaches to understand, identify, and address UCV was undertaken to determine how conceptual and theoretical frameworks currently attempt to define UCV, the approaches used to identify UCV, and the evidence of their effectiveness. DESIGN Rapid evidence assessment (REA) methodology was used. DATA SOURCES A range of text words, synonyms, and subject headings were developed for the major concepts of unwarranted clinical variation, standards (and deviation from these standards), and health care environment. Two electronic databases (Medline and Pubmed) were searched from January 2006 to April 2017, in addition to hand searching of relevant journals, reference lists, and grey literature. DATA SYNTHESIS Results were merged using reference-management software (Endnote) and duplicates removed. Inclusion criteria were independently applied to potentially relevant articles by 3 reviewers. Findings were presented in a narrative synthesis to highlight key concepts addressed in the published literature. RESULTS A total of 48 relevant publications were included in the review; 21 articles were identified as eligible from the database search, 4 from hand searching published work and 23 from the grey literature. The search process highlighted the voluminous literature reporting clinical variation internationally; yet, there is a dearth of evidence regarding systematic approaches to identifying or addressing UCV. CONCLUSION Wennberg's classification framework is commonly cited in relation to classifying variation, but no single approach is agreed upon to systematically explore and address UCV. The instances of UCV that warrant investigation and action are largely determined at a systems level currently, and stakeholder engagement in this process is limited. Lack of consensus on an evidence-based definition for UCV remains a substantial barrier to progress in this field.
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Affiliation(s)
- Reema Harrison
- School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | - Elizabeth Manias
- Melbourne School of Health Sciences, The University of Melbourne and Research Professor, School of Nursing and Midwifery, Deakin University, Australia
| | - Stephen Mears
- Hunter New England Medical Library, New Lambton, Australia
| | - David Heslop
- School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | - Reece Hinchcliff
- University of Technology Sydney, Centre for Health Services Research, Ultimo, Australia
| | - Liz Hay
- Economics and Analyticss, Strategic Reform Branch, NSW Ministry of Health, North Sydney, Australia
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