The Cost-Effectiveness of Digital Health Interventions on the Management of Cardiovascular Diseases: Systematic Review (Preprint)

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. METHODS A literature review was conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature Complete, PsycINFO, Scopus, Web of Science, Center for Review and Dissemination, and Institute for IEEE Xplore between 2001 and 2018. Studies were included if the following criteria were met: (1) English articles, (2) DHIs that promoted or delivered clinical interventions and had an impact on patients’ cardiovascular conditions, (3) studies that were modeling works with health economic outcomes of DHIs for CVDs, (4) studies that had a comparative group for assessment, and (5) full economic evaluations including a cost-effectiveness analysis, cost-utility analysis, cost-benefit analysis, and cost-consequence analysis. The primary outcome collected was the cost-effectiveness of the DHIs, presented by incremental cost per additional quality-adjusted life year (QALY). The quality of each included study was evaluated using the Consolidated Health Economic Evaluation Reporting Standards. RESULTS A total of 14 studies met the defined criteria and were included in the review. Among the included studies, heart failure (7/14, 50%) and stroke (4/14, 29%) were two of the most frequent CVDs that were managed by DHIs. A total of 9 (64%) studies were published between 2015 and 2018 and 5 (36%) published between 2011 and 2014. The time horizon was ≤1 year in 3 studies (21%), >1 year in 10 studies (71%), and 1 study (7%) did not declare the time frame. The types of devices or technologies used to deliver the health interventions were short message service (1/14, 7%), telephone support (1/14, 7%), mobile app (1/14, 7%), video conferencing system (5/14, 36%), digital transmission of physiologic data (telemonitoring; 5/14, 36%), and wearable medical device (1/14, 7%). The DHIs gained higher QALYs with cost saving in 43% (6/14) of studies and gained QALYs at a higher cost at acceptable incremental cost-effectiveness ratio (ICER) in 57% (8/14) of studies. The studies were classified as excellent (0/14, 0%), good (9/14, 64%), moderate (4/14, 29%), and low (1/14, 7%) quality. CONCLUSIONS This study is the first systematic review of decision analytic model–based cost-effectiveness analyses of DHIs in the management of CVDs. Most of the identified studies were published recently, and the majority of the studies were good quality cost-effectiveness analyses with an adequate duration of time frame. All the included studies found the DHIs to be cost-effective.

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The Cost-Effectiveness of Digital Health Interventions on the Management of Cardiovascular Diseases: Systematic Review

Journal of Medical Internet Research ◽

10.2196/13166 ◽

2019 ◽

Vol 21 (6) ◽

pp. e13166 ◽

Cited By ~ 17

Author(s):

Xinchan Jiang ◽

Wai-Kit Ming ◽

Joyce HS You

Keyword(s):

Systematic Review ◽

Cost Effectiveness ◽

Cardiovascular Diseases ◽

Digital Health ◽

Health Interventions ◽

The Cost

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Cost-Utility Analysis of Von Willebrand Disease Screening in Adolescents with Menorrhagia.

Blood ◽

10.1182/blood.v114.22.2476.2476 ◽

2009 ◽

Vol 114 (22) ◽

pp. 2476-2476

Author(s):

Robert F. Sidonio ◽

Kenneth J Smith ◽

Margaret V. Ragni

Keyword(s):

Sensitivity Analysis ◽

Cost Effectiveness ◽

Bleeding Event ◽

Cost Effective ◽

Cost Utility ◽

Von Willebrand Disease ◽

Decision Analytic Model ◽

Analytic Model ◽

The Cost ◽

Von Willebrand

Abstract Abstract 2476 Poster Board II-453 Introduction: It is unknown whether it is cost effective to screen adolescents with menorrhagia for von Willebrand disease (VWD) prior to starting oral contraceptive pills (OCPs). Because OCPs can mask a diagnosis of VWD, a woman is at risk for potential future traumatic or surgical bleeding, once OCPs are stopped. We, therefore, designed a decision analysis model to evaluate the cost utility of VWD testing in adolescents with menorrhagia. Methods: A 20-year Markov decision analytic model was constructed to evaluate the cost-utility of two strategies: testing or not testing for VWD. The hypothetical patient is a 15-year-old female presenting with menorrhagia and a decision regarding VWD testing is made. The model includes probabilities of remaining well, suffering an acute menorrhagia bleeding event, surgical complications, OCP complications or dying. Probabilities, costs and utilities were estimated from published literature. The prevalence of type 1 VWD in adolescent females with menorrhagia was estimated to be 13%. We assumed all patients were treated with OCPs regardless of whether hemostatic testing was performed. All patients were assumed to have mild type I VWD, the most common subtype, and all were responsive to intravenous DDAVP. Probabilities of surgical complications in patients with and without VWD were based on adenotonsillectomy hemorrhage rates in children. The probability of acute menorrhagia bleeding necessitating hospitalization or red blood cell transfusion was estimated to be 1% in an adolescent with VWD and 0% in an adolescent with normal hemostatic testing. The sole complication from OCPs incorporated into this decision analytic model was acute deep vein thrombosis. Results: The cost of testing adolescents with menorrhagia for VWD was $1,638, vs. $1,251 for not testing for VWD. The effectiveness of not testing in quality-adjusted life-year (QALY) gained (14.237 QALY) was similar to the VWD testing strategy (14.246 QALY). Compared to not testing for VWD, screening for VWD had an incremental cost-effectiveness ratio (ICER) per QALY of $45,061/QALY, a value typically considered economically reasonable. In one-way sensitivity analysis, the outcome and ICER were most sensitive to the probabilities of an acute bleeding event, surgical complication, and the prevalence of VWD. Monte Carlo probabilistic sensitivity analysis, substituting input distributions rather than a single point estimate for the probabilities, costs and utilities, was also performed. Under this assumption, testing for VWD is a cost-effective strategy approximately 60% of the time when the cost-effectiveness threshold is $100,000/QALY. Conclusions: It is cost effective to perform VWD testing in adolescents presenting with menorrhagia prior to initiating OCPs. This is related to avoiding cost from postoperative and other bleeding when the diagnosis is masked by OCPs. Disclosures: No relevant conflicts of interest to declare.

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Establishing the cost-effectiveness of percutaneous coronary intervention for chronic total occlusion in stable angina: a decision-analytic model

Heart ◽

10.1136/heartjnl-2012-302581 ◽

2012 ◽

Vol 98 (24) ◽

pp. 1790-1797 ◽

Cited By ~ 22

Author(s):

Hemal Gada ◽

Patrick L Whitlow ◽

Thomas H Marwick

Keyword(s):

Percutaneous Coronary Intervention ◽

Cost Effectiveness ◽

Stable Angina ◽

Chronic Total Occlusion ◽

Coronary Intervention ◽

Decision Analytic Model ◽

Analytic Model ◽

Total Occlusion ◽

Percutaneous Coronary ◽

The Cost

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Cost-effectiveness of psychotherapy for cluster B personality disorders

The British Journal of Psychiatry ◽

10.1192/bjp.bp.109.070482 ◽

2010 ◽

Vol 196 (5) ◽

pp. 396-403 ◽

Cited By ~ 33

Author(s):

Djøra I. Soeteman ◽

Roel Verheul ◽

Jos Delimon ◽

Anke M. M. A. Meerman ◽

Ellen van den Eijnden ◽

...

Keyword(s):

Cost Effectiveness ◽

Personality Disorders ◽

Cost Effective ◽

Quality Adjusted Life Year ◽

Decision Analytic Model ◽

Day Hospital ◽

Payer Perspective ◽

Cluster B Personality Disorders ◽

Effective Choice ◽

The Cost

BackgroundRecommendations on current clinical guidelines are informed by limited economic evidence.AimsA formal economic evaluation of three modalities of psychotherapy for patients with cluster B personality disorders.MethodA probabilistic decision-analytic model to assess the cost-effectiveness of out-patient, day hospital and in-patient psychotherapy over 5 years in terms of cost per recovered patient-year and cost per quality-adjusted life-year (QALY). Analyses were conducted from both societal and payer perspectives.ResultsFrom the societal perspective, the most cost-effective choice switched from out-patient to day hospital psychotherapy at a threshold of €12 274 per recovered patient-year; and from day hospital to in-patient psychotherapy at €113 298. In terms of cost per QALY, the optimal strategy changed at €56 325 and €286 493 per QALY respectively. From the payer perspective, the switch points were at €9895 and €155 797 per recovered patient-year, and €43 427 and €561 188 per QALY.ConclusionsOut-patient psychotherapy and day hospital psychotherapy are the optimal treatments for patients with cluster B personality disorders in terms of cost per recovered patient-year and cost per QALY.

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Systematic review of health economic studies in cranial neurosurgery

Neurosurgical FOCUS ◽

10.3171/2018.2.focus17792 ◽

2018 ◽

Vol 44 (5) ◽

pp. E2 ◽

Cited By ~ 1

Author(s):

Won Hyung A. Ryu ◽

Michael M. H. Yang ◽

Sandeep Muram ◽

W. Bradley Jacobs ◽

Steven Casha ◽

...

Keyword(s):

Systematic Review ◽

Ischemic Stroke ◽

Cost Effectiveness ◽

Acute Ischemic Stroke ◽

Cost Effective ◽

Current Evidence ◽

Cochrane Library ◽

Endovascular Thrombectomy ◽

Life Years ◽

The Cost

OBJECTIVEAs the cost of health care continues to increase, there is a growing emphasis on evaluating the relative economic value of treatment options to guide resource allocation. The objective of this systematic review was to evaluate the current evidence regarding the cost-effectiveness of cranial neurosurgery procedures.METHODSThe authors performed a systematic review of the literature using PubMed, EMBASE, and the Cochrane Library, focusing on themes of economic evaluation and cranial neurosurgery following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Included studies were publications of cost-effectiveness analysis or cost-utility analysis between 1995 and 2017 in which health utility outcomes in life years (LYs), quality-adjusted life years (QALYs), or disability-adjusted life years (DALYs) were used. Three independent reviewers conducted the study appraisal, data abstraction, and quality assessment, with differences resolved by consensus discussion.RESULTSIn total, 3485 citations were reviewed, with 53 studies meeting the inclusion criteria. Of those, 34 studies were published in the last 5 years. The most common subspecialty focus was cerebrovascular (32%), followed by neurooncology (26%) and functional neurosurgery (24%). Twenty-eight (53%) studies, using a willingness to pay threshold of US$50,000 per QALY or LY, found a specific surgical treatment to be cost-effective. In addition, there were 11 (21%) studies that found a specific surgical option to be economically dominant (both cost saving and having superior outcome), including endovascular thrombectomy for acute ischemic stroke, epilepsy surgery for drug-refractory epilepsy, and endoscopic pituitary tumor resection.CONCLUSIONSThere is an increasing number of cost-effectiveness studies in cranial neurosurgery, especially within the last 5 years. Although there are numerous procedures, such as endovascular thrombectomy for acute ischemic stroke, that have been conclusively proven to be cost-effective, there remain promising interventions in current practice that have yet to meet cost-effectiveness thresholds.

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TECHNIQUES FOR DIAGNOSING OSTEOPOROSIS: A SYSTEMATIC REVIEW OF COST-EFFECTIVENESS STUDIES

International Journal of Technology Assessment in Health Care ◽

10.1017/s0266462314000257 ◽

2014 ◽

Vol 30 (3) ◽

pp. 273-281 ◽

Cited By ~ 2

Author(s):

Davide Minniti ◽

Ottavio Davini ◽

Maria Rosaria Gualano ◽

Maria Michela Gianino

Keyword(s):

Systematic Review ◽

Cost Effectiveness ◽

Postmenopausal Women ◽

Cost Effective ◽

Economic Evaluations ◽

Clear Cut ◽

Step Procedure ◽

Database Research ◽

The Cost ◽

Effectiveness Studies

Objectives:The study question was whether dual-energy X-ray absorptiometry (DXA) alone is more cost-effective for identifying postmenopausal women with osteoporosis than a two-step procedure with quantitative ultrasound sonography (QUS) plus DXA. To answer this question, a systematic review was performed.Methods:Electronic databases (PubMed, INAHTA, Health Evidence Network, NIHR, the Health Technology Assessment program, the NHS Economic Evaluation Database, Research Papers in Economics, Web of Science, Scopus, and EconLit) were searched for cost-effectiveness publications. Two independent reviewers selected eligible publications based on the inclusion/exclusion criteria. Quality assessment of economic evaluations was undertaken using the Drummond checklist.Results:Seven journal articles and four reports were reviewed. The cost per true positive case diagnosed by DXA was found to be higher than that for diagnosis by QUS+DXA in two articles. In one article it was found to be lower. In three studies, the results were not conclusive. These articles were characterized by the differences in the types of devices, parameters and thresholds on the QUS and DXA tests and the unit costs of the DXA and QUS tests as well as by variability in the sensitivity and specificity of the techniques and the prevalence of osteoporosis.Conclusions:The publications reviewed did not provide clear-cut evidence for drawing conclusions about which screening test may be more cost-effective for identifying postmenopausal women with osteoporosis.

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Cost-effectiveness of hydrotherapy versus land-based therapy in patients with musculoskeletal disorders in Singapore

Journal of Public Health ◽

10.1093/pubmed/fdy044 ◽

2018 ◽

Vol 41 (2) ◽

pp. 391-398

Author(s):

Monica Teng ◽

Hui Jun Zhou ◽

Liang Lin ◽

Pang Hung Lim ◽

Doreen Yeo ◽

...

Keyword(s):

Cost Effectiveness ◽

Musculoskeletal Disorders ◽

Cost Effective ◽

Target Population ◽

Quality Adjusted Life Year ◽

Decision Analytic Model ◽

Published Data ◽

Total Knee ◽

The Cost ◽

Quality Adjusted Life

Abstract Background The study evaluated the cost-effectiveness of hydrotherapy versus land-based therapy in patients with musculoskeletal disorders (MSDs) in Singapore. Methods A decision-analytic model was constructed to compare the cost-effectiveness of hydrotherapy to land-based therapy over 3 months from societal perspective. Target population comprised patients with low back pain (LBP), osteoarthritis (OA), rheumatoid arthritis (RA), total hip replacement (THR) and total knee replacement (TKR). Subgroup analyses were carried out to determine the cost-effectiveness of hydrotherapy in individual MSDs. Relative treatment effects were obtained through a systematic review of published data. Results Compared to land-based therapy, hydrotherapy was associated with an incremental cost-effectiveness ratio (ICER) of SGD 27 471 per quality-adjusted life-year (QALY) gained, which was below the willingness-to-pay threshold of SGD 70 000 per QALY (one gross domestic product per capita in Singapore in 2015). For the respective MSDs, hydrotherapy were dominant (more effective and less costly) in THR and TKR, cost-effective for LBP and RA, and not cost-effective for OA. Treatment adherence and cost of hydrotherapy were key drivers to the ICER values. Conclusions Hydrotherapy was a cost-effective rehabilitation compared to land-based therapy for a population with MSDs in Singapore. However, the benefit of hydrotherapy was not observed in patients with OA.

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Modeling the Economic Impact of Interventions for Older Populations with Multimorbidity: A Method of Linking Multiple Single-Disease Models

Medical Decision Making ◽

10.1177/0272989x19868987 ◽

2019 ◽

Vol 39 (7) ◽

pp. 842-856

Author(s):

Ji-Hee Youn ◽

Matt D. Stevenson ◽

Praveen Thokala ◽

Katherine Payne ◽

Maria Goddard

Keyword(s):

Health Care ◽

Cost Effectiveness ◽

Disease Models ◽

Decision Analytic Model ◽

Analytic Model ◽

The Cost ◽

Older Populations ◽

Linked Model ◽

Multiple Conditions

Introduction. Individuals from older populations tend to have more than 1 health condition (multimorbidity). Current approaches to produce economic evidence for clinical guidelines using decision-analytic models typically use a single-disease approach, which may not appropriately reflect the competing risks within a population with multimorbidity. This study aims to demonstrate a proof-of-concept method of modeling multiple conditions in a single decision-analytic model to estimate the impact of multimorbidity on the cost-effectiveness of interventions. Methods. Multiple conditions were modeled within a single decision-analytic model by linking multiple single-disease models. Individual discrete event simulation models were developed to evaluate the cost-effectiveness of preventative interventions for a case study assuming a UK National Health Service perspective. The case study used 3 diseases (heart disease, Alzheimer’s disease, and osteoporosis) that were combined within a single linked model. The linked model, with and without correlations between diseases incorporated, simulated the general population aged 45 years and older to compare results in terms of lifetime costs and quality-adjusted life-years (QALYs). Results. The estimated incremental costs and QALYs for health care interventions differed when 3 diseases were modeled simultaneously (£840; 0.234 QALYs) compared with aggregated results from 3 single-disease models (£408; 0.280QALYs). With correlations between diseases additionally incorporated, both absolute and incremental costs and QALY estimates changed in different directions, suggesting that the inclusion of correlations can alter model results. Discussion. Linking multiple single-disease models provides a methodological option for decision analysts who undertake research on populations with multimorbidity. It also has potential for wider applications in informing decisions on commissioning of health care services and long-term priority setting across diseases and health care programs through providing potentially more accurate estimations of the relative cost-effectiveness of interventions.

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