1
|
Park Y, Kim EJ, Park S, Lee M. Digital Health Intervention Effect on Older Adults With Chronic Diseases Living Alone: Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Med Internet Res 2025; 27:e63168. [PMID: 40163849 PMCID: PMC11997531 DOI: 10.2196/63168] [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: 06/12/2024] [Revised: 11/13/2024] [Accepted: 01/04/2025] [Indexed: 04/02/2025] Open
Abstract
BACKGROUND The incidence of chronic diseases is increasing owing to the aging population; in particular, older adults living alone struggle with self-management and medical expenses. Digital health can contribute to medical cost management and health promotion, but its effectiveness for older adults living alone remains unclear. In a rapidly aging society, it is important to demonstrate the effect of digital health on improving the lives of older adults living alone and reducing the burden of chronic diseases. OBJECTIVE This study aims to examine the intervention effects of digital health on self-management, quality of life, and medical factors for older adults living alone with common chronic diseases such as cardiovascular disease, respiratory disease, and musculoskeletal disorders through a systematic literature review and meta-analysis. METHODS We searched the literature using 3 databases, including PubMed, CINAHL, and Cochrane CENTRAL, for literature published in overseas academic journals up to October 2024. The final 11 papers were used for analysis based on selection and exclusion criteria. Meta-analysis was used to calculate the mean difference and standardized mean difference (SMD) for the selected literature using RevMan (version 5.4; Cochrane). The effect size and heterogeneity were calculated through 95% CI. RESULTS As a result of conducting a meta-analysis of 8 of 11 documents, there was a significant effect of self-management factors on moderate-to-vigorous physical activity (SMD=0.08; z=2.07; P=.04). However, among self-management factors, low-density lipoprotein cholesterol (SMD=-0.04; z=0.91; P=.36) did not show statistically significant results. Among the medical factors, general quality of life (SMD=0.11; z=0.93; P=.35), depression (SMD=-3.95; z=1.59; P=.11), and hospital days (SMD=-1.57; z=0.91; P=.36) also did not show statistically significant results. However, it was confirmed that they improved after a digital health intervention. CONCLUSIONS This study demonstrated that digital health interventions are effective in improving physical activity in older adults with chronic diseases living alone. However, owing to the characteristics of older adults living alone, there is a need to further expand digital health to combine care services that can manage diseases at home.
Collapse
Affiliation(s)
- Yoonseo Park
- Department of Convergence Healthcare Medicine, Ajou University, Suwon-si, Gyeonggi-do, Republic of Korea
| | - Eun-Ji Kim
- Department of Convergence Healthcare Medicine, Ajou University, Suwon-si, Gyeonggi-do, Republic of Korea
| | - Sewon Park
- Department of Medical Science, School of Medicine, Ajou University, Suwon-si, Gyeonggi-do, Republic of Korea
| | - Munjae Lee
- Department of Medical Science, School of Medicine, Ajou University, Suwon-si, Gyeonggi-do, Republic of Korea
| |
Collapse
|
2
|
Gastens V, Tancredi S, Kiszio B, Del Giovane C, Tsuyuki RT, Paradis G, Chiolero A, Santschi V. Pharmacists delivering hypertension care services: a systematic review and meta-analysis of randomized controlled trials. Front Cardiovasc Med 2025; 12:1477729. [PMID: 40161392 PMCID: PMC11949927 DOI: 10.3389/fcvm.2025.1477729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 02/12/2025] [Indexed: 04/02/2025] Open
Abstract
Background Community-based models of care with the involvement of pharmacists and other nonphysician healthcare professionals can help improve blood pressure (BP) control. We aimed to synthesize the evidence of effectiveness of pharmacist interventions on BP among patients with hypertension. Methods We performed systematic searches to identify randomized controlled trials (RCTs) assessing the effect of pharmacist interventions on BP among outpatients (latest search, March 2024). The effect on systolic and diastolic BP change or BP control were pooled using random effects model. Subgroup analysis for the types of pharmacist interventions and healthcare settings were performed. The risk of bias was assessed using the Cochrane Risk of Bias Tool 2. The protocol was registered in PROSPERO (CRD42021279751) and published in an open-access peer-reviewed journal. Results Out of 2,330 study records identified in 7 electronic databases, a total of 95 RCTs, with 31,168 participants (control 16,157, intervention 15,011), were included. The intervention was led by the pharmacist in 75% of the studies and in collaboration with other healthcare providers in 25%. Pharmacist interventions included patient education in 88%, feedback to healthcare providers in 49%, and patient reminders in 24% of the studies. Systolic and diastolic BP were reduced after pharmacist intervention by -5.3 mmHg (95% CI: -6.3 to -4.4; I 2 = 86%) and -2.3 mmHg (95% CI: -2.9 to -1.8; I 2 = 75%), respectively. The reduction of systolic BP tended to be larger if the intervention was collaborative, conducted in outpatient clinics, based on healthcare provider education, or through healthcare provider feedback. Analyses restricted to relatively large or high-quality studies yielded similar estimates, with lower between-studies heterogeneity. Conclusion Pharmacist care for patients with hypertension consistently improves BP across various settings and interventions. Pharmacist care is one key element of the solution to the global burden of hypertension and cardiovascular diseases. PROSPERO registration number CRD42021279751.
Collapse
Affiliation(s)
- Viktoria Gastens
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
| | - Stefano Tancredi
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
| | - Blanche Kiszio
- La Source, School of Nursing Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Lausanne, Switzerland
| | - Cinzia Del Giovane
- Department of Medical and Surgical Sciences for Children and Adults, University-Hospital of Modena and Reggio Emilia, Modena, Italy
| | - Ross T. Tsuyuki
- EPICORE, Department of Medicine, Division of Cardiology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Gilles Paradis
- School of Population and Global Health, McGill University, Montreal, QC, Canada
| | - Arnaud Chiolero
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
- EPICORE, Department of Medicine, Division of Cardiology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Valérie Santschi
- La Source, School of Nursing Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Lausanne, Switzerland
| |
Collapse
|
3
|
Sakima A, Akagi Y, Akasaki Y, Fujii T, Haze T, Kawakami-Mori F, Kitajima K, Kobayashi Y, Matayoshi T, Sakaguchi T, Yamazato M, Abe M, Ohya Y, Arima H. Effectiveness of digital health interventions for telemedicine/telehealth for managing blood pressure in adults: a systematic review and meta-analysis. Hypertens Res 2025; 48:478-491. [PMID: 38977877 DOI: 10.1038/s41440-024-01792-7] [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: 05/23/2024] [Accepted: 06/15/2024] [Indexed: 07/10/2024]
Abstract
This systematic review and meta-analysis included randomized controlled trials or observational studies that compare digital health interventions (DHIs) for telemedicine/telehealth versus usual care for managing blood pressure (BP) in adults. We searched PubMed, Cochrane CENTRAL, and IchuShi-Web, and used a random-effects meta-analysis of the weighted mean difference (MD) between the comparison groups to pool data from the included studies. The outcome included the pooled MD of office BP from baseline to each follow-up period. This meta-analysis considered 117 studies with 68677 participants as eligible. The 3-month intervention period reduced office systolic BP (SBP) compared with usual care in 38 studies (MD: -3.21 mmHg [95% confidence interval: -4.51 to -1.90]), with evidence of heterogeneity. Office SBP across intervention periods demonstrated comparable effects (3-, 6- [54 studies], 12- [43 studies], and >12-month periods [9 studies]). The benefits for office diastolic BP were similar to those for office SBP. Additionally, the interventions significantly reduced the office SBP compared with the control, regardless of the mode of intervention delivery (smartphone apps [38 studies], text messages [35 studies], and websites [34 studies]) or type of facility (medical [74 studies] vs. non-medical [33 studies]). The interventions were more effective in 41 hypertension cohorts compared with 66 non-hypertension cohorts (-4.81 mmHg [-6.33, -3.29] vs. -2.17 mmHg [-3.15, -1.19], P = 0.006 for heterogeneity). In conclusion, DHIs for telemedicine/telehealth improved BP management compared with usual care. The effectiveness with heterogeneity should be considered, as prudent for implementing evidence-based medicine. This meta-analysis considered 117 studies with 68677 participants eligible. The DHIs for telemedicine/telehealth reduced office BP compared with usual care, regardless of intervention duration, intervention delivery mode, facility type, and cohort type. Additionally, the DHIs reduced the risk of uncontrolled BP compared with usual care, regardless of intervention duration, intervention delivery mode, and facility type. BP blood pressure, DHI digital health intervention, MD mean difference, RR risk ratio, SBP systolic blood pressure.
Collapse
Affiliation(s)
- Atsushi Sakima
- Health Administration Center, University of the Ryukyus, Okinawa, Japan.
| | - Yuya Akagi
- Division of Health Sciences, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yuichi Akasaki
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Takako Fujii
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Tatsuya Haze
- YCU Center for Novel and Exploratory Clinical Trials (Y-NEXT), Yokohama City University Hospital, Kanagawa, Japan
| | - Fumiko Kawakami-Mori
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Mitsui Memorial Hospital, Tokyo, Japan
| | - Ken Kitajima
- Department of Cardiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yusuke Kobayashi
- Co-Creation Innovation Center, Yokohama City University, Kanagawa, Japan
| | | | - Takashi Sakaguchi
- Department of Pediatrics, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | | | - Makiko Abe
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yusuke Ohya
- University Hospital of the Ryukyus, Okinawa, Japan
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| |
Collapse
|
4
|
Zhang H, Huo X, Ren L, Lu J, Li J, Zheng X, Liu J, Ma W, Yuan J, Diao X, Wu C, Zhang X, Wang J, Zhao W, Hu S. Design and rationale of the Comprehensive intelligent Hypertension managEment SyStem (CHESS) evaluation study: A cluster randomized controlled trial for hypertension management in primary care. Am Heart J 2024; 273:90-101. [PMID: 38575049 DOI: 10.1016/j.ahj.2024.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/30/2024] [Accepted: 03/31/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Hypertension management in China is suboptimal with high prevalence and low control rate due to various barriers, including lack of self-management awareness of patients and inadequate capacity of physicians. Digital therapeutic interventions including mobile health and computational device algorithms such as clinical decision support systems (CDSS) are scalable with the potential to improve blood pressure (BP) management and strengthen the healthcare system in resource-constrained areas, yet their effectiveness remains to be tested. The aim of this report is to describe the protocol of the Comprehensive intelligent Hypertension managEment SyStem (CHESS) evaluation study assessing the effect of a multifaceted hypertension management system for supporting patients and physicians on BP lowering in primary care settings. MATERIALS AND METHODS The CHESS evaluation study is a parallel-group, cluster-randomized controlled trial conducted in primary care settings in China. Forty-one primary care sites from 3 counties of China are randomly assigned to either the usual care or the intervention group with the implementation of the CHESS system, more than 1,600 patients aged 35 to 80 years with uncontrolled hypertension and access to a smartphone by themselves or relatives are recruited into the study and followed up for 12 months. In the intervention group, participants receive patient-tailored reminders and alerts via messages or intelligent voice calls triggered by uploaded home blood pressure monitoring data and participants' characteristics, while physicians receive guideline-based prescription instructions according to updated individual data from each visit, and administrators receive auto-renewed feedback of hypertension management performance from the data analysis platform. The multiple components of the CHESS system can work synergistically and have undergone rigorous development and pilot evaluation using a theory-informed approach. The primary outcome is the mean change in 24-hour ambulatory systolic BP from baseline to 12 months. DISCUSSION The CHESS trial will provide evidence and novel insight into the effectiveness and feasibility of an implementation strategy using a comprehensive digital BP management system for reducing hypertension burden in primary care settings. TRIAL REGISTRATION https://www. CLINICALTRIALS gov, NCT05605418.
Collapse
Affiliation(s)
- Haibo Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiqian Huo
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lixin Ren
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiapeng Lu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Li
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Zheng
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiamin Liu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenjun Ma
- Hypertension Center of Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, China
| | - Jing Yuan
- Information Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaolin Diao
- Information Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chaoqun Wu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoyan Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jin Wang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Zhao
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shengshou Hu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| |
Collapse
|
5
|
Acharya M, Ali MM, Bogulski CA, Pandit AA, Mahashabde RV, Eswaran H, Hayes CJ. Association of Remote Patient Monitoring with Mortality and Healthcare Utilization in Hypertensive Patients: a Medicare Claims-Based Study. J Gen Intern Med 2024; 39:762-773. [PMID: 37973707 PMCID: PMC11043264 DOI: 10.1007/s11606-023-08511-x] [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: 05/09/2023] [Accepted: 10/24/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Hypertension management is complex in older adults. Recent advances in remote patient monitoring (RPM) have warranted evaluation of RPM use and patient outcomes. OBJECTIVE To study associations of RPM use with mortality and healthcare utilization measures of hospitalizations, emergency department (ED) utilization, and outpatient visits. DESIGN A retrospective cohort study. PATIENTS Medicare beneficiaries aged ≥65 years with an outpatient hypertension diagnosis between July 2018 and September 2020. The first date of RPM use with a corresponding hypertension diagnosis was recorded (index date). RPM non-users were documented from those with an outpatient hypertension diagnosis; a random visit was selected as the index date. Six months prior continuous enrollment was required. MAIN MEASURES Outcomes studied within 180 days of index date included (i) all-cause mortality, (ii) any hospitalization, (iii) cardiovascular-related hospitalization, (iv) non-cardiovascular-related hospitalization, (v) any ED, (vi) cardiovascular-related ED, (vii) non-cardiovascular-related ED, (viii) any outpatient, (ix) cardiovascular-related outpatient, and (x) non-cardiovascular-related outpatient. Patient demographics and clinical variables were collected from baseline and index date. Propensity score matching (1:4) and Cox regression were performed. Hazard ratios (HR) and 95% confidence intervals (CI) are reported. KEY RESULTS The matched sample had 16,339 and 63,333 users and non-users, respectively. Cumulative incidences of mortality outcome were 2.9% (RPM) and 4.3% (non-RPM), with a HR (95% CI) of 0.66 (0.60-0.74). RPM users had lower hazards of any [0.78 (0.75-0.82)], cardiovascular-related [0.79 (0.73-0.87)], and non-cardiovascular-related [0.79 (0.75-0.83)] hospitalizations. No significant association was observed between RPM use and the three ED measures. RPM users had higher hazards of any [1.10 (1.08-1.11)] and cardiovascular-related outpatient visits [2.17 (2.13-2.19)], while a slightly lower hazard of non-cardiovascular-related outpatient visits [0.94 (0.93-0.96)]. CONCLUSIONS RPM use was associated with substantial reductions in hazards of mortality and hospitalization outcomes with an increase in cardiovascular-related outpatient visits.
Collapse
Affiliation(s)
- Mahip Acharya
- Institute for Digital Health & Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mir M Ali
- Institute for Digital Health & Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Cari A Bogulski
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Ambrish A Pandit
- Divison of Pharmaceutical Evaluation and Policy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Ruchira V Mahashabde
- Divison of Pharmaceutical Evaluation and Policy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Hari Eswaran
- Institute for Digital Health & Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Corey J Hayes
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
- Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare Systems, North Little Rock, AR, USA.
| |
Collapse
|