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Shih CD, Scholten HJ, Ripp G, Srikanth K, Smith C, Ma R, Fu J, Reyzelman AM. Effectiveness of a Continuous Remote Temperature Monitoring Program to Reduce Foot Ulcers and Amputations: Multicenter Postmarket Registry Study. JMIR Diabetes 2024; 9:e46096. [PMID: 38285493 PMCID: PMC10862242 DOI: 10.2196/46096] [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: 01/30/2023] [Revised: 11/18/2023] [Accepted: 12/20/2023] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND Neuropathic foot ulcers are the leading cause of nontraumatic foot amputations, particularly among patients with diabetes. Traditional methods of monitoring and managing these patients are periodic in-person clinic visits, which are passive and may be insufficient for preventing neuropathic foot ulcers and amputations. Continuous remote temperature monitoring has the potential to capture the critical period before the foot ulcers develop and to improve outcomes by providing real-time data and early interventions. For the first time, the effectiveness of such a strategy to prevent neuropathic foot ulcers and related complications among high-risk patients in a real-world commercial setting is reported. OBJECTIVE This study aims to evaluate the effectiveness of a real-world continuous remote temperature monitoring program in preventing neuropathic foot ulcers and amputations in patients with diabetes. METHODS In this retrospective analysis of a real-world continuous remote temperature monitoring program, 115 high-risk patients identified by clinical providers from 15 geographically diverse private podiatry offices were analyzed. Patients received continuous remote monitoring socks as part of the program. The enrollment was based on medical necessity as decided by their managing physician. We evaluated data from up to 2 years before enrollment and up to 3 years during the program. The primary outcome was the rate of wound development. Secondary outcomes included amputation rate, the severity of the foot ulcers, and the number of visits to an outpatient podiatry clinic after enrolling in the program. RESULTS We observed significantly lower rates of foot ulceration (relative risk reduction [RRR] 0.68; 95% CI 0.52-0.79; number needed to treat [NNT] 5.0; P<.001), less moderate to severe ulcers (RRR 0.86; 95% CI 0.70-0.93; NNT 16.2; P<.001), less amputations (RRR 0.83; 95% CI 0.39-0.95; NNT 41.7; P=.006), and less hospitalizations (RRR 0.63; 95% CI 0.33-0.80; NNT 5.7; P<.002). We found a decrease in outpatient podiatry office visits during the program (RRR 0.31; 95% CI 0.24-0.37; NNT 0.46; P<.001). CONCLUSIONS Our findings suggested that a real-world continuous remote temperature monitoring program was an effective strategy to prevent foot ulcer development and nontraumatic foot amputation among high-risk patients.
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Affiliation(s)
- Chia-Ding Shih
- California School of Podiatric Medicine at Samuel Merritt University, Oakland, CA, United States
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | | | - Gavin Ripp
- Premier Podiatry & Orthopedics Sacramento, Roseville, CA, United States
| | | | - Caileigh Smith
- Samuel Merritt University, San Francisco, CA, United States
| | - Ran Ma
- Siren Care Inc, San Francisco, CA, United States
| | - Jie Fu
- Siren Care Inc, San Francisco, CA, United States
| | - Alexander M Reyzelman
- Department of Surgery, University of California San Francisco, San Francisco, CA, United States
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Jones PJ, Lavery L, Davies MJ, Webb D, Rowlands AV. Hotspots: Adherence in home foot temperature monitoring interventions for at-risk feet with diabetes-A narrative review. Diabet Med 2023; 40:e15189. [PMID: 37489103 DOI: 10.1111/dme.15189] [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: 03/28/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Home foot temperature monitoring (HFTM) is recommended for those at moderate to high ulcer risk. Where a > 2.2°C difference in temperature between feet (hotspot) is detected, it is suggested that individuals (1) notify a healthcare professional (HCP); (2) reduce daily steps by 50%. We assess adherence to this and HFTM upon detecting a recurrent hotspot. METHODS PubMed and Google Scholar were searched until 9 June 2023 for English-language peer-reviewed HFTM studies which reported adherence to HFTM, daily step reduction or HCP hotspot notification. The search returned 1030 results excluding duplicates of which 28 were shortlisted and 11 included. RESULTS Typical adherence among HFTM study participants for >3 days per week was 61%-93% or >80% of study duration was 55.6%-83.1%. Monitoring foot temperatures >50% of the study duration was associated with decreased ulcer risk (Odds Ratio: 0.50, p < 0.001) in one study (n = 173), but no additional risk reduction was found for >80% adherence. Voluntary dropout was 5.2% (Smart mats); 8.1% (sock sensor) and 4.8%-35.8% (infrared thermometers). Only 16.9%-52.5% of participants notified an HCP upon hotspot detection. Objective evidence of adherence to 50% reduction in daily steps upon hotspot detection was limited to one study where the average step reduction was a pedometer-measured 51.2%. CONCLUSIONS Ulcer risk reduction through HFTM is poorly understood given only half of the participants notify HCPs of recurrent hotspots and the number of reducing daily steps is largely unknown. HFTM adherence and dropout are variable and more research is needed to determine factors affecting adherence and those likely to adhere.
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Affiliation(s)
- Petra J Jones
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Lawrence Lavery
- Department of Plastic Surgery, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Melanie J Davies
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - David Webb
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Alex V Rowlands
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Sansom Institute for Health Research, Division of Health Sciences, University of South Australia, Adelaide, Australia
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Lazarus J, Cioroianu I, Ehrhardt B, Gurevich D, Kreusser L, Metcalfe B, Nishtala P, Preatoni E, Sharp TH. Data-driven digital health technologies in the remote clinical care of diabetic foot ulcers: a scoping review. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 4:1212182. [PMID: 37727285 PMCID: PMC10505804 DOI: 10.3389/fcdhc.2023.1212182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 07/31/2023] [Indexed: 09/21/2023]
Abstract
Background The availability and effectiveness of Digital Health Technologies (DHTs) to support clinicians, empower patients, and generate economic savings for national healthcare systems are growing rapidly. Of particular promise is the capacity of DHTs to autonomously facilitate remote monitoring and treatment. Diabetic Foot Ulcers (DFUs) are characterised by high rates of infection, amputation, mortality, and healthcare costs. With clinical outcomes contingent on activities that can be readily monitored, DFUs present a promising focus for the application of remote DHTs. Objective This scoping review has been conducted as a first step toward ascertaining fthe data-related challenges and opportunities for the development of more comprehensive, integrated, and individualised sense/act DHTs. We review the latest developments in the application of DHTs to the remote care of DFUs. We cover the types of DHTs in development and their features, technological readiness, and scope of clinical testing. Eligibility criteria Only peer-reviewed original experimental and observational studies, case series and qualitative studies were included in literature searches. All reviews and manuscripts presenting pre-trial prototype technologies were excluded. Methods An initial search of three databases (Web of Science, MEDLINE, and Scopus) generated 1,925 English-language papers for screening. 388 papers were assessed as eligible for full-text screening by the review team. 81 manuscripts were found to meet the eligibility criteria. Results Only 19% of studies incorporated multiple DHTs. We categorised 56% of studies as 'Treatment-Manual', i.e. studies involving technologies aimed at treatment requiring manual data generation, and 26% as 'Prevention-Autonomous', i.e. studies of technologies generating data autonomously through wearable sensors aimed at ulcer prevention through patient behavioural change. Only 10% of studies involved more ambitious 'Treatment-Autonomous' interventions. We found that studies generally reported high levels of patient adherence and satisfaction. Conclusions Our findings point to a major potential role for DHTs in remote personalised medical management of DFUs. However, larger studies are required to assess their impact. Here, we see opportunities for developing much larger, more comprehensive, and integrated monitoring and decision support systems with the potential to address the disease in a more complete context by capturing and integrating data from multiple sources from subjective and objective measurements.
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Affiliation(s)
- Joel Lazarus
- Department of Social and Policy Studies, University of Bath, Bath, United Kingdom
| | - Iulia Cioroianu
- Department of Politics, Languages and International Studies, Faculty of Humanities and Social Sciences, University of Bath, Bath, United Kingdom
| | - Beate Ehrhardt
- Institute for Mathematical Innovation, Languages and International Studies, Faculty of Humanities and Social Sciences, University of Bath, Bath, United Kingdom
| | - David Gurevich
- Department of Life Sciences, University of Bath, Bath, United Kingdom
| | - Lisa Kreusser
- Department of Mathematical Sciences, Faculty of Science, University of Bath, Bath, United Kingdom
| | - Benjamin Metcalfe
- Department of Electronic and Electrical Engineering, Faculty of Science, University of Bath, Bath, United Kingdom
| | - Prasad Nishtala
- Department of Life Sciences, Faculty of Engineering and Design, University of Bath, Bath, United Kingdom
| | - Ezio Preatoni
- Department for Health, Faculty of Humanities and Social Sciences, University of Bath, Bath, United Kingdom
| | - Tamsin H. Sharp
- Department of Psychology, Faculty of Humanities and Social Sciences, University of Bath, Bath, United Kingdom
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Minty E, Bray E, Bachus CB, Everett B, Smith KM, Matijevich E, Hajizadeh M, Armstrong DG, Liden B. Preventative Sensor-Based Remote Monitoring of the Diabetic Foot in Clinical Practice. SENSORS (BASEL, SWITZERLAND) 2023; 23:6712. [PMID: 37571496 PMCID: PMC10422561 DOI: 10.3390/s23156712] [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: 05/30/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 08/13/2023]
Abstract
Diabetes and its complications, particularly diabetic foot ulcers (DFUs), pose significant challenges to healthcare systems worldwide. DFUs result in severe consequences such as amputation, increased mortality rates, reduced mobility, and substantial healthcare costs. The majority of DFUs are preventable and treatable through early detection. Sensor-based remote patient monitoring (RPM) has been proposed as a possible solution to overcome limitations, and enhance the effectiveness, of existing foot care best practices. However, there are limited frameworks available on how to approach and act on data collected through sensor-based RPM in DFU prevention. This perspective article offers insights from deploying sensor-based RPM through digital DFU prevention regimens. We summarize the data domains and technical architecture that characterize existing commercially available solutions. We then highlight key elements for effective RPM integration based on these new data domains, including appropriate patient selection and the need for detailed clinical assessments to contextualize sensor data. Guidance on establishing escalation pathways for remotely monitored at-risk patients and the importance of predictive system management is provided. DFU prevention RPM should be integrated into a comprehensive disease management strategy to mitigate foot health concerns, reduce activity-associated risks, and thereby seek to be synergistic with other components of diabetes disease management. This integrated approach has the potential to enhance disease management in diabetes, positively impacting foot health and the healthspan of patients living with diabetes.
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Affiliation(s)
- Evan Minty
- Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Emily Bray
- Orpyx Medical Technologies, Inc., Calgary, AB T2G 1M8, Canada (E.M.); (M.H.)
| | - Courtney B. Bachus
- Orpyx Medical Technologies, Inc., Calgary, AB T2G 1M8, Canada (E.M.); (M.H.)
| | - Breanne Everett
- Orpyx Medical Technologies, Inc., Calgary, AB T2G 1M8, Canada (E.M.); (M.H.)
| | - Karen M. Smith
- Orpyx Medical Technologies, Inc., Calgary, AB T2G 1M8, Canada (E.M.); (M.H.)
| | - Emily Matijevich
- Orpyx Medical Technologies, Inc., Calgary, AB T2G 1M8, Canada (E.M.); (M.H.)
| | - Maryam Hajizadeh
- Orpyx Medical Technologies, Inc., Calgary, AB T2G 1M8, Canada (E.M.); (M.H.)
| | - David G. Armstrong
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- USC Limb Preservation Program, Los Angeles, CA 90033, USA
- Southwestern Academic Limb Salvage Alliance (SALSA), Los Angeles, CA 90033, USA
- USC Center to Stream Healthcare in Place (C2SHIP), Los Angeles, CA 90033, USA
| | - Brock Liden
- Cutting Edge Research, Circleville, OH 43113, USA
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Bender BF, Berry JA. Trends in Passive IoT Biomarker Monitoring and Machine Learning for Cardiovascular Disease Management in the U.S. Elderly Population. ADVANCES IN GERIATRIC MEDICINE AND RESEARCH 2023; 5:e230002. [PMID: 37274061 PMCID: PMC10237513 DOI: 10.20900/agmr20230002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
It is predicted that the growth in the U.S. elderly population alongside continued growth in chronic disease prevalence will further strain an already overburdened healthcare system and could compromise the delivery of equitable care. Current trends in technology are demonstrating successful application of artificial intelligence (AI) and machine learning (ML) to biomarkers of cardiovascular disease (CVD) using longitudinal data collected passively from internet-of-things (IoT) platforms deployed among the elderly population. These systems are growing in sophistication and deployed across evermore use-cases, presenting new opportunities and challenges for innovators and caregivers alike. IoT sensor development that incorporates greater levels of passivity will increase the likelihood of continued growth in device adoption among the geriatric population for longitudinal health data collection which will benefit a variety of CVD applications. This growth in IoT sensor development and longitudinal data acquisition is paralleled by the growth in ML approaches that continue to provide promising avenues for better geriatric care through higher personalization, more real-time feedback, and prognostic insights that may help prevent downstream complications and relieve strain on the healthcare system overall. However, findings that identify differences in longitudinal biomarker interpretations between elderly populations and relatively younger populations highlights the necessity that ML approaches that use data from newly developed passive IoT systems should collect more data on this target population and more clinical trials will help elucidate the extent of benefits and risks from these data driven approaches to remote care.
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Affiliation(s)
| | - Jasmine A. Berry
- Robotics Institute, University of Michigan, College of Engineering, Ann Arbor, MI 48109, USA
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McDermott K, Fang M, Boulton AJ, Selvin E, Hicks CW. Etiology, Epidemiology, and Disparities in the Burden of Diabetic Foot Ulcers. Diabetes Care 2023; 46:209-221. [PMID: 36548709 PMCID: PMC9797649 DOI: 10.2337/dci22-0043] [Citation(s) in RCA: 113] [Impact Index Per Article: 113.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 11/02/2022] [Indexed: 12/24/2022]
Abstract
Diabetic foot ulcers (DFU) are a major source of preventable morbidity in adults with diabetes. Consequences of foot ulcers include decline in functional status, infection, hospitalization, lower-extremity amputation, and death. The lifetime risk of foot ulcer is 19% to 34%, and this number is rising with increased longevity and medical complexity of people with diabetes. Morbidity following incident ulceration is high, with recurrence rates of 65% at 3-5 years, lifetime lower-extremity amputation incidence of 20%, and 5-year mortality of 50-70%. New data suggest overall amputation incidence has increased by as much as 50% in some regions over the past several years after a long period of decline, especially in young and racial and ethnic minority populations. DFU are a common and highly morbid complication of diabetes. The pathway to ulceration, involving loss of sensation, ischemia, and minor trauma, is well established. Amputation and mortality after DFU represent late-stage complications and are strongly linked to poor diabetes management. Current efforts to improve care of patients with DFU have not resulted in consistently lower amputation rates, with evidence of widening disparities and implications for equity in diabetes care. Prevention and early detection of DFU through guideline-directed multidisciplinary care is critical to decrease the morbidity and disparities associated with DFU. This review describes the epidemiology, presentation, and sequelae of DFU, summarizes current evidence-based recommendations for screening and prevention, and highlights disparities in care and outcomes.
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Affiliation(s)
- Katherine McDermott
- Division of Vascular Surgery and Endovascular Therapy, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Michael Fang
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Andrew J.M. Boulton
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Caitlin W. Hicks
- Division of Vascular Surgery and Endovascular Therapy, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
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Souza J, Escadas S, Baxevani I, Rodrigues D, Freitas A. Smart Wearable Systems for the Remote Monitoring of Selected Vascular Disorders of the Lower Extremity: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15231. [PMID: 36429951 PMCID: PMC9690814 DOI: 10.3390/ijerph192215231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/03/2022] [Accepted: 11/15/2022] [Indexed: 06/16/2023]
Abstract
This systematic review aims at providing an overview of the state of the art regarding smart wearable systems (SWS) applications to monitor the status of patients suffering from vascular disorders of the lower extremity. Peer-reviewed literature has been analyzed to identify employed data collection methods, system characteristics, and functionalities, and research challenges and limitations to be addressed. The Medline (PubMed) and SCOPUS databases were considered to search for publications describing SWS for remote or continuous monitoring of patients suffering from intermittent claudication, venous ulcers, and diabetic foot ulcers. Publications were first screened based on whether they describe an SWS applicable to the three selected vascular disorders of the lower extremity, including data processing and output to users. Information extracted from publications included targeted disease, clinical parameters to be measured and wearable devices used; system outputs to the user; system characteristics, including capabilities of remote or continuous monitoring or functionalities resulting from advanced data analyses, such as coaching, recommendations, or alerts; challenges and limitations reported; and research outputs. A total of 128 publications were considered in the full-text analysis, and 54 were finally included after eligibility criteria assessment by four independent reviewers. Our results were structured and discussed according to three main topics consisting of data collection, system functionalities, and limitations and challenges.
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Affiliation(s)
- Julio Souza
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine of the University of Porto, 4200-450 Porto, Portugal
| | - Sara Escadas
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine of the University of Porto, 4200-450 Porto, Portugal
| | - Isidora Baxevani
- Department of Materials Science and Technology, University of Crete, 700 13 Iraklio, Greece
| | - Daniel Rodrigues
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine of the University of Porto, 4200-450 Porto, Portugal
| | - Alberto Freitas
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine of the University of Porto, 4200-450 Porto, Portugal
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