Factors influencing the effectiveness of remote patient monitoring interventions: a realist review

被引:63
作者
Thomas, Emma E. [1 ,2 ]
Taylor, Monica L. [1 ,2 ]
Banbury, Annie [1 ,2 ]
Snoswell, Centaine L. [1 ,2 ]
Haydon, Helen M. [1 ,2 ]
Gallegos Rejas, Victor M. [1 ,2 ]
Smith, Anthony C. [1 ,2 ,3 ]
Caffery, Liam J. [1 ,2 ]
机构
[1] Univ Queensland, Ctr Online Hlth, Brisbane, Qld, Australia
[2] Univ Queensland, Ctr Hlth Serv Res, Brisbane, Qld, Australia
[3] Univ Southern Denmark, Ctr Innovat Technol, Odense, Denmark
关键词
telemedicine; public health; organisation of health services; HEART-FAILURE PATIENTS; LONG-TERM PROGNOSIS; MANAGEMENT; HOSPITALIZATION; EXACERBATIONS; TELEHEALTH; DISCHARGE; EFFICACY; OUTCOMES; IMPACT;
D O I
10.1136/bmjopen-2021-051844
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives Our recent systematic review determined that remote patient monitoring (RPM) interventions can reduce acute care use. However, effectiveness varied within and between populations. Clinicians, researchers, and policymakers require more than evidence of effect; they need guidance on how best to design and implement RPM interventions. Therefore, this study aimed to explore these results further to (1) identify factors of RPM interventions that relate to increased and decreased acute care use and (2) develop recommendations for future RPM interventions. Design Realist review-a qualitative systematic review method which aims to identify and explain why intervention results vary in different situations. We analysed secondarily 91 studies included in our previous systematic review that reported on RPM interventions and the impact on acute care use. Online databases PubMed, EMBASE and CINAHL were searched in October 2020. Included studies were published in English during 2015-2020 and used RPM to monitor an individual's biometric data (eg, heart rate, blood pressure) from a distance. Primary and secondary outcome measures Contextual factors and potential mechanisms that led to variation in acute care use (hospitalisations, length of stay or emergency department presentations). Results Across a range of RPM interventions 31 factors emerged that impact the effectiveness of RPM innovations on acute care use. These were synthesised into six theories of intervention success: (1) targeting populations at high risk; (2) accurately detecting a decline in health; (3) providing responsive and timely care; (4) personalising care; (5) enhancing self-management, and (6) ensuring collaborative and coordinated care. Conclusion While RPM interventions are complex, if they are designed with patients, providers and the implementation setting in mind and incorporate the key variables identified within this review, it is more likely that they will be effective at reducing acute hospital events. PROSPERO registration number CRD42020142523.
引用
收藏
页数:9
相关论文
共 68 条
[1]   Health-economic evaluation of home telemonitoring for COPD in Germany: evidence from a large population-based cohort [J].
Achelrod, Dmitrij ;
Schreyoegg, Jonas ;
Stargardt, Tom .
EUROPEAN JOURNAL OF HEALTH ECONOMICS, 2017, 18 (07) :869-882
[2]   THE HAWTHORNE EFFECT - A RECONSIDERATION OF THE METHODOLOGICAL ARTIFACT [J].
ADAIR, JG .
JOURNAL OF APPLIED PSYCHOLOGY, 1984, 69 (02) :334-345
[3]   Use of Remote Monitoring Is Associated With Lower Risk of Adverse Outcomes Among Patients With Implanted Cardiac Defibrillators [J].
Akar, Joseph G. ;
Bao, Haikun ;
Jones, Paul W. ;
Wang, Yongfei ;
Varosy, Paul D. ;
Masoudi, Frederick A. ;
Stein, Kenneth M. ;
Saxon, Leslie A. ;
Normand, Sharon-Lise T. ;
Curtis, Jeptha P. .
CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY, 2015, 8 (05) :1173-1180
[4]   Electronic inhaler monitoring and healthcare utilization in chronic obstructive pulmonary disease [J].
Alshabani, Khaled ;
Attaway, Amy A. ;
Smith, Michael J. ;
Majumdar, Uddalak ;
Rice, Richard ;
Han, Xiaozhen ;
Wang, Xiaofeng ;
Hatipoglu, Umur .
JOURNAL OF TELEMEDICINE AND TELECARE, 2020, 26 (7-8) :495-503
[5]   Improving responsiveness of health systems to non-communicable diseases [J].
Atun, Rifat ;
Jaffar, Shabbar ;
Nishtar, Sania ;
Knaul, Felicia M. ;
Barreto, Mauricio L. ;
Nyirenda, Moffat ;
Banatvala, Nicholas ;
Piot, Peter .
LANCET, 2013, 381 (9867) :690-697
[6]   Adding value to remote monitoring: Co-design of a health literacy intervention for older people with chronic disease delivered by telehealth - The telehealth literacy project [J].
Banbury, Annie ;
Nancarrow, Susan ;
Dart, Jared ;
Gray, Len ;
Dodson, Sarity ;
Osborne, Richard ;
Parkinson, Lynne .
PATIENT EDUCATION AND COUNSELING, 2020, 103 (03) :597-606
[7]   Remote Monitoring of Patients With Heart Failure: An Overview of Systematic Reviews [J].
Bashi, Nazli ;
Karunanithi, Mohanraj ;
Fatehi, Farhad ;
Ding, Hang ;
Walters, Darren .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2017, 19 (01)
[8]   NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4 [J].
Bennett, James E. ;
Stevens, Gretchen A. ;
Mathers, Colin D. ;
Bonita, Ruth ;
Rehm, Jurgen ;
Kruk, Margaret E. ;
Riley, Leanne M. ;
Dain, Katie ;
Kengne, Andre Pascal ;
Chalkidou, Kalipso ;
Beagley, Jessica ;
Kishore, Sandeep P. ;
Chen, Wanqing ;
Saxena, Shekhar ;
Bettcher, Douglas W. ;
Grove, John T. ;
Beaglehole, Robert ;
Ezzati, Majid .
LANCET, 2018, 392 (10152) :1072-1088
[9]   Fluid status telemedicine alerts for heart failure: a randomized controlled trial [J].
Boehm, Michael ;
Drexler, Helmut ;
Oswald, Hanno ;
Rybak, Karin ;
Bosch, Ralph ;
Butter, Christian ;
Klein, Gunnar ;
Gerritse, Bart ;
Monteiro, Joao ;
Israel, Carsten ;
Bimmel, Dieter ;
Kaeab, Stefan ;
Huegl, Burkhard ;
Brachmann, Johannes .
EUROPEAN HEART JOURNAL, 2016, 37 (41) :3154-3163
[10]  
Bradford NK, 2016, RURAL REMOTE HEALTH, V16