{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T21:02:03Z","timestamp":1790629323406,"version":"4.1.0"},"reference-count":83,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Mhealth Uhealth"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Remote patient management (RPM) that supports patient self-monitoring of vital parameters and lifestyle factors may improve cardiovascular risk management (CVRM) in primary care. However, large-scale implementation remains limited, partly due to insufficient evidence on long-term value for money, budget impact, and implications for health care professionals' workload.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study aimed to estimate the long-term cost-effectiveness, 5-year health care budget impact, and expected changes in general practitioner (GP) and practice nurse (PN) workload associated with the CVRM-Box intervention in the Netherlands.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n We conducted a model-based economic evaluation comparing CVRM-Box with care as usual in Dutch primary care integrated CVRM programs. CVRM-Box is a multicomponent RPM intervention comprising a digital blood pressure (BP) monitor, digital weight scale, step counter\/activity tracker, and a mobile app, with measurements transferred to the GP practice for periodic review. A time-inhomogeneous cohort Markov model simulated lifetime transitions among health states, including at-risk, post\u2013myocardial infarction (MI), poststroke, recurrent events, cardiovascular death, and noncardiovascular death. Cardiovascular risks were modeled using prediction equations (SCORE2, SCORE2-OP, and SMART2) populated with subgroup-specific risk factor profiles. Intervention effects were modeled as changes in systolic BP derived from a matched cohort study of CVRM-Box. Other key parameters (costs and utilities) were similarly obtained from the matched cohort study, or routine primary care data, and published sources. Outcomes included incremental cost-effectiveness ratios (ICERs, indicating cost per quality-adjusted life year [QALY] gained), cost-effectiveness probabilities, 5-year health care budget impact, and an exploratory workload analysis estimating annual changes in visit time and remote consultation frequency for GPs and PNs. Probabilistic and scenario uncertainty analyses were performed.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n In the overall population, CVRM-Box increased costs and QALYs versus care as usual, yielding an ICER of \u20ac17,340\/QALY gained (EUR \u20ac1=US $1.11 as of 29 December 2023) and a 60% probability of cost-effectiveness at a willingness-to-pay threshold of \u20ac20,000\/QALY. Cost-effectiveness was more favorable in higher-risk subgroups (uncontrolled BP and\/or prior MI\/stroke), with \u226570% probability of cost-effectiveness at \u20ac20,000\/QALY, whereas in the lower-risk subgroup with controlled BP and no prior MI\/stroke, the intervention is unlikely to be cost-effective (ICER: \u20ac42,384\/QALY). The 5-year health care budget impact was \u20ac2.9 million and \u20ac662.2 million for regional and national rollout, respectively. In a typical Dutch primary care practice, the CVRM-Box reduced PN workload by 25.9 h and 44.7 remote consultations annually, while the change in GP workload was negligible (0.5 h; 3.3 remote consultations).<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The CVRM-Box multicomponent RPM intervention is likely to be cost-effective among high-risk subgroups but not in lower-risk groups. The intervention further reduces PN workload but not GP workload. Results primarily apply to the Dutch context and may not generalize to health care systems with different payment\/incentive arrangements. Additionally, long-term outcomes were modeled using prediction models rather than observed cardiovascular events. Nonetheless, our findings provide an argument for implementation in primary care for higher-risk subgroups.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/79512","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T20:16:10Z","timestamp":1790626570000},"page":"e79512-e79512","source":"Crossref","is-referenced-by-count":0,"title":["A Cardiovascular Care Pathway Supported by Remote Patient Management in Dutch Primary Care: Cost-Effectiveness, Budget Impact, and Workload Analysis"],"prefix":"10.2196","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8057-1318","authenticated-orcid":false,"given":"Jan","family":"Heijdra Suasnabar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8233-1150","authenticated-orcid":false,"given":"Margot","family":"Rakers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8990-9445","authenticated-orcid":false,"given":"Nicoline","family":"van Hattem","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2057-1954","authenticated-orcid":false,"given":"Eric","family":"Hiddink","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2581-8370","authenticated-orcid":false,"given":"Marcel","family":"Haas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1701-2512","authenticated-orcid":false,"given":"Xuerui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9664-2985","authenticated-orcid":false,"given":"Douwe","family":"Atsma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7719-6182","authenticated-orcid":false,"given":"Tobias N","family":"Bonten","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5269-509X","authenticated-orcid":false,"given":"M Elske","family":"van den Akker-van Marle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8911-8608","authenticated-orcid":false,"given":"Hendrikus J A","family":"van Os","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,9,28]]},"reference":[{"issue":"2","key":"R1","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1038\/nrneurol.2017.4","article-title":"Stroke in 2016: stroke is treatable, but prevention is the key","volume":"13","author":"Algra","journal-title":"Nat Rev Neurol"},{"issue":"5","key":"R2","doi-asserted-by":"publisher","first-page":"1545","DOI":"10.1161\/01.str.0000442009.06663.48","article-title":"Guidelines for the prevention of stroke in women: a statement for healthcare professionals from the American Heart Association\/American Stroke Association","volume":"45","author":"Bushnell","journal-title":"Stroke"},{"key":"R3","unstructured":"GP Workforce Team (National Health Service UK). 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