Patient and Staff Experience of Remote Patient Monitoring—What to Measure and How: Systematic Review

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e48463 - e48463

Published: Feb. 20, 2024

Background Patient and staff experience is a vital factor to consider in the evaluation of remote patient monitoring (RPM) interventions. However, no comprehensive overview available RPM experience–measuring methods tools exists. Objective This review aimed at obtaining set constructs corresponding measuring instruments used contemporary research proposing an initial guidelines for improving methodological standardization this domain. Methods Full-text papers reporting on instances or interventions, written English, published after January 1, 2011, were considered eligibility. By “RPM interventions,” we referred interventions including sensor-based clinical decision-making; other kinds therefore excluded. Papers describing primary care involving participants under 18 years age, focusing attitudes technologies rather than specific also We searched 2 electronic databases, Medline (PubMed) EMBASE, February 12, 2021.We explored structured obtained corpus data through correspondence analysis, multivariate statistical technique. Results In total, 158 included, covering variety domains. From these studies, reported 546 experience-measuring RPM, use 160 unique measure 120 constructs. found that landscape has seen sizeable growth past decade, it affected by relative lack focus staff, overall collected measures can be organized 4 main categories (service system related, usage adherence health outcome related). light findings, provided 6 actionable recommendations evaluators, terms both what how it. Overall, suggested researchers practitioners include as part integrated, interdisciplinary strategies continuous evaluation. Conclusions At present, there consensus leading critical knowledge gap our understanding impact offers targeted support evaluators providing structured, practical quality

Language: Английский

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A systematic review of strategies in digital technologies for motivating adherence to chronic illness self-care

Published: April 26, 2025

Abstract The global incidence of chronic diseases is rising, posing substantial social and economic challenges. These conditions necessitate effective long-term self-care, which can be supported by digital interventions using remote measurement technologies, like smartphones wearables. This systematic review investigates the motivational strategies within technologies to improve self-care adherence for illnesses, particularly cardiovascular diabetes mellitus. A literature search was conducted, focusing on studies from 2004 2024. total 17 met inclusion criteria. reviewed targeted medication adherence, lifestyle modifications, symptom tracking. Findings suggest that strategies, such as feedback, health literacy, reminders, messages, goal-setting, interaction, gamification, rewards patient behaviors. However, their effectiveness relies theoretical grounding, data-driven features, personalization. Future research should prioritize integrating robust theories developing standardized metrics enhance reliability impact interventions.

Language: Английский

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Exploring the Strategies People with Parkinson's Disease Use to Self-track Symptoms and Medications

ACM Transactions on Accessible Computing, Journal Year: 2024, Volume and Issue: 17(1), P. 1 - 21

Published: Feb. 27, 2024

Self-tracking has great potential in empowering individuals with a chronic illness managing their condition. Parkinson's Disease (PD) is common neurodegenerative disease that affects millions of people worldwide. PD presents broad range motor and non-motor symptoms are unique to each person PD, thus requiring intervention needs for PD. can aid treatment by recording experiences responses intervention. We conducted semi-structured interviews 26 (PwPD), six caregivers (CGs), three healthcare providers (HPs) acquire better understanding the strategies challenges self-tracking. Five tracking were identified: mental tracking, analog general-purpose technology, specialized technology proxy. also uncovered experienced during self-tracking, such as not always distinctive or easy describe, inaccuracy lack perceived usefulness tracked data, interaction barriers proper tools. Our findings contribute existing literature yield insights guide inclusive design self-tracking tools

Language: Английский

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The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement

JMIR Mental Health, Journal Year: 2022, Volume and Issue: 10, P. e42866 - e42866

Published: Nov. 26, 2022

Remote measurement technologies (RMTs) such as smartphones and wearables can help improve treatment for depression by providing objective, continuous, ecologically valid insights into mood behavior. Engagement with RMTs is varied highly context dependent; however, few studies have investigated their feasibility in the of treatment.

Language: Английский

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Understanding Symptom Self-Monitoring Needs Among Postpartum Black Patients: Qualitative Interview Study

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e47484 - e47484

Published: March 8, 2024

Background Pregnancy-related death is on the rise in United States, and there are significant disparities outcomes for Black patients. Most solutions that address pregnancy-related hospital based, which rely patients recognizing symptoms seeking care from a health system, an area where many have reported experiencing bias. There need patient-centered support encourage postpartum people to seek severe symptoms. Objective We aimed determine design needs mobile (mHealth) patient-reported decision-support system assist assessing when medical These findings may also different perinatal populations minoritized groups other clinical settings. Methods conducted semistructured interviews with 36 participants—15 (42%) obstetric professionals, 10 (28%) mental 11 (31%) The interview questions included following: current practices symptom monitoring, barriers facilitators of effective requirements mHealth supports monitoring Interviews were audio recorded transcribed. analyzed transcripts using directed content analysis constant comparative process. adopted thematic approach, eliciting themes deductively conceptual frameworks behavior human information processing, while allowing new inductively arise data. Our team involved multiple coders promote reliability through consensus Results revealed considerations related relevant inputs support, drivers affect self-monitoring patient interventions. First, participants viewed both somatic psychological as important capture. Second, self-perception; previous experience; sociocultural, financial, environmental, systems–level factors all perceived impact how processed, made decisions about, acted upon their Third, provided recommendations user control freedom. They stressed importance careful wording messages, such messages recommend them convey urgency but do not provoke anxiety. Alternatively, they should make feel heard reassured. Conclusions Future include symptoms, require combining existing measures elicit nuanced manner. Solutions allow varied, safe interactions suit individual needs. While or apps be able social financial person, at least provide information, so can easily access supportive resources.

Language: Английский

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Recruitment and retention of adolescents for an ecological momentary assessment measurement burst mental health study: The MHIM engagement strategy

Health Expectations, Journal Year: 2024, Volume and Issue: 27(3)

Published: May 6, 2024

Recruitment and long-term retention of adolescent participants in longitudinal research are challenging may be especially so studies involving remote measurement biosampling components. The ability to effectively recruit retain can supported by the use specific evidence-based engagement strategies that built from earliest stages.

Language: Английский

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Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis (Preprint)

JMIR Mental Health, Journal Year: 2024, Volume and Issue: 11, P. e55500 - e55500

Published: June 7, 2024

Depression affects 5% of adults and it is a major cause disability worldwide. Digital psychotherapies offer an accessible solution addressing this issue. This systematic review examines spectrum digital for depression, considering both their effectiveness user perspectives.

Language: Английский

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Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis

JMIR Human Factors, Journal Year: 2023, Volume and Issue: 10, P. e39479 - e39479

Published: Jan. 26, 2023

Background Remote measurement technologies (RMTs) have the potential to revolutionize major depressive disorder (MDD) disease management by offering ability assess, monitor, and predict symptom changes. However, promise of RMT data depends heavily on sustained user engagement over extended periods. In this paper, we report a longitudinal qualitative study subjective experience people with MDD engaging RMTs provide insight into system usability basis for future promotion use in research clinical practice. Objective We aimed understand long-term using collected monitoring MDD. The objectives were explore key themes associated identify recommendations engagement. Methods multisite, study, 124 semistructured interviews conducted 99 participants across United Kingdom, Spain, Netherlands at 3-month, 12-month, 24-month time points during exploring (the Assessment Disease Relapse-Major Depressive Disorder study). Data analyzed thematic analysis, audio recorded, transcribed, coded native language, resulting quotes translated English. Results There 5 main regarding use: research-related factors, utility self-management, technology-related amendments additions. Conclusions can be considered from 2 perspectives: experiential factors (how construct their RMTs) system-related (direct technologies). A set based these strands are proposed both real-world implementation Future exploration will successful care.

Language: Английский

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Feasibility and acceptability to use a smartphone-based manikin for daily longitudinal self-reporting of chronic pain

Digital Health, Journal Year: 2023, Volume and Issue: 9

Published: Jan. 1, 2023

As management of chronic pain continues to be suboptimal, there is a need for tools that support frequent, longitudinal self-reporting improve our understanding pain. This study aimed assess the feasibility and acceptability daily using smartphone-based manikin.For this prospective study, we recruited adults with lived experience painful musculoskeletal condition. They were asked complete self-reports via an app 30 days. We assessed by calculating report completion levels, investigated differences in levels between subgroups. end-of-study questionnaire, which analysed descriptively.Of 104 participants, majority female (n = 87; 84%), aged 45-64 59; 57%), white ethnic background 89; 86%). The mean was 21 (± 7.7) self-reports. People who not working (odds ratio (OR) 1.84; 95% confidence interval (CI), 1.52-2.23) more likely, people living less deprived areas (OR 0.77; CI, 0.62-0.97) non-white ethnicity 0.45; 0.36-0.57) likely than their employed, counterparts, respectively. Of 96 participants completing almost all agreed it easy drawing 93%).It feasible acceptable self-report manikin over month. For its wider adoption self-reporting, should further explored among diverse socio-economic backgrounds.

Language: Английский

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The value of engagement in digital health technology research: Evidence across six unique studies (Preprint)

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e57827 - e57827

Published: May 29, 2024

Wearable digital health technologies and mobile apps (personal [DHTs]) hold great promise for transforming research care. However, engagement in personal DHT is poor.

Language: Английский

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