This study is the first systematic review of decision analytic model-based cost-effectiveness analyses of DHIs in the management of CVDs .
All the included studies found the DHIs to be cost-effective
BACKGROUND With the advancement in information technology and mobile internet , digital health interventions ( DHIs ) are improving the care of cardiovascular diseases ( CVDs ) .
The impact of DHIs on cost-effective management of CVDs has been examined using the decision analytic model-based health technology assessment approach .
OBJECTIVE The aim of this study was to perform a systematic review of the decision analytic model-based studies evaluating the cost-effectiveness of DHIs on the management of CVDs .
Cost-effectiveness of a text message programme for the prevention of recurrent cardiovascular events
Objective To estimate the cost-effectiveness of Tobacco , Exercise and Diet Messages ( TEXT ME ) , a text message-based intervention that provides advice , motivation , information and support to improve health-related behaviours . Methods A lifetime Markov model was used to estimate major vascular events ( myocardial infa rct ions and strokes ) avoided , quality -adjusted life years ( QALYs ) gained , costs to the health system and the incremental cost per QALY gained . The model was informed by data from a r and omised controlled trial of TEXT ME , with evidence from systematic review s and meta-analyses used to estimate the effects of changes in risk factors on the risk of major vascular events . Expected costs and health outcomes were estimated with uncertainty surrounding these characterised using probabilistic sensitivity analysis and a number of scenario analyses . Results For a target population of 50 000 patients with documented coronary heart disease , the intervention is expected to lead to 563 fewer myocardial infa rct ions , 361 fewer strokes and 1143 additional QALYs .  TEXT ME is expected to lead to an overall saving of $ 10.56 million for the health system over the patients ’ lifetimes . The intervention can therefore be considered cost-saving and health-improving . Neither parameter nor structural uncertainty had a significant impact on the conclusion that TEXT ME is cost-effective . Conclusions The provision of TEXT ME is predicted to lead to better health outcomes and an overall saving in costs for the health system . Trial registration number anzctr.org.au identifier : ACTRN12611000161921
This study is the first systematic review of decision analytic model-based cost-effectiveness analyses of DHIs in the management of CVDs .
All the included studies found the DHIs to be cost-effective
BACKGROUND With the advancement in information technology and mobile internet , digital health interventions ( DHIs ) are improving the care of cardiovascular diseases ( CVDs ) .
The impact of DHIs on cost-effective management of CVDs has been examined using the decision analytic model-based health technology assessment approach .
OBJECTIVE The aim of this study was to perform a systematic review of the decision analytic model-based studies evaluating the cost-effectiveness of DHIs on the management of CVDs .