Dataset Information

Personal financial incentives for changing habitual health-related behaviors: A systematic review and meta-analysis.

ABSTRACT:

Objectives

Uncertainty remains about whether personal financial incentives could achieve sustained changes in health-related behaviors that would reduce the fast-growing global non-communicable disease burden. This review aims to estimate whether: i. financial incentives achieve sustained changes in smoking, eating, alcohol consumption and physical activity; ii. effectiveness is modified by (a) the target behavior, (b) incentive value and attainment certainty, (c) recipients' deprivation level.

Methods

Multiple sources were searched for trials offering adults financial incentives and assessing outcomes relating to pre-specified behaviors at a minimum of six months from baseline. Analyses included random-effects meta-analyses and meta-regressions grouped by timed endpoints.

Results

Of 24,265 unique identified articles, 34 were included in the analysis. Financial incentives increased behavior-change, with effects sustained until 18months from baseline (OR: 1.53, 95% CI 1.05-2.23) and three months post-incentive removal (OR: 2.11, 95% CI 1.21-3.67). High deprivation increased incentive effects (OR: 2.17; 95% CI 1.22-3.85), but only at >6-12months from baseline. Other assessed variables did not independently modify effects at any time-point.

Conclusions

Personal financial incentives can change habitual health-related behaviors and help reduce health inequalities. However, their role in reducing disease burden is potentially limited given current evidence that effects dissipate beyond three months post-incentive removal.

SUBMITTER: Mantzari E

PROVIDER: S-EPMC4728181 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

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Publications

Personal financial incentives for changing habitual health-related behaviors: A systematic review and meta-analysis.

Mantzari Eleni E Vogt Florian F Shemilt Ian I Wei Yinghui Y Higgins Julian P T JP Marteau Theresa M TM

Preventive medicine 20150402

<h4>Objectives</h4>Uncertainty remains about whether personal financial incentives could achieve sustained changes in health-related behaviors that would reduce the fast-growing global non-communicable disease burden. This review aims to estimate whether: i. financial incentives achieve sustained changes in smoking, eating, alcohol consumption and physical activity; ii. effectiveness is modified by (a) the target behavior, (b) incentive value and attainment certainty, (c) recipients' deprivation ...[more]

PMID: 25843244

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Project description:BackgroundFinancial incentives are widely used strategies to alleviate poverty, foster development, and improve health. Cash transfer programs, microcredit, user fee removal policies and voucher schemes that provide direct or indirect monetary incentives to households have been used for decades in Latin America, Sub-Saharan Africa, and more recently in Southeast Asia. Until now, no systematic review of the impact of financial incentives on coverage and uptake of health interventions targeting children under 5 years of age has been conducted. The objective of this review is to provide estimates on the effect of six types of financial incentive programs: (i) Unconditional cash transfers (CT), (ii) Conditional cash transfers (CCT), (iii) Microcredit (MC), (iv) Conditional Microcredit (CMC), (v) Voucher schemes (VS) and (vi) User fee removal (UFR) on the uptake and coverage of health interventions targeting children under the age of five years.MethodsWe conducted systematic searches of a series of databases until September 1st, 2012, to identify relevant studies reporting on the impact of financial incentives on coverage of health interventions and behaviors targeting children under 5 years of age. The quality of the studies was assessed using the CHERG criteria. Meta-analyses were undertaken to estimate the effect when multiple studies meeting our inclusion criteria were available.ResultsOur searches resulted in 1671 titles identified 25 studies reporting on the impact of financial incentive programs on 5 groups of coverage indicators: breastfeeding practices (breastfeeding incidence, proportion of children receiving colostrum and early initiation of breastfeeding, exclusive breastfeeding for six months and duration of breastfeeding); vaccination (coverage of full immunization, partial immunization and specific antigens); health care use (seeking healthcare when child was ill, visits to health facilities for preventive reasons, visits to health facilities for any reason, visits for health check-up including growth control); management of diarrhoeal disease (ORS use during diarrhea episode, continued feeding during diarrhea, healthcare during diarrhea episode) and other preventive health interventions (iron supplementation, vitamin A, zinc supplementation, preventive deworming). The quality of evidence on the effect of financial incentives on breastfeeding practices was low but seems to indicate a potential positive impact on receiving colostrum, early initiation of breastfeeding, exclusive breastfeeding and mean duration of exclusive breastfeeding. There is no effect of financial incentives on immunization coverage although there was moderate quality evidence of conditional cash transfers leading to a small but non-significant increase in coverage of age-appropriate immunization. There was low quality evidence of impact of CCT on healthcare use by children under age 5 (Risk difference: 0.14 [95%CI: 0.03; 0.26]) as well as low quality evidence of an effect of user fee removal on use of curative health services (RD=0.62 [0.41; 0.82]).ConclusionsFinancial incentives may have potential to promote increased coverage of several important child health interventions, but the quality of evidence available is low. The more pronounced effects seem to be achieved by programs that directly removed user fees for access to health services. Some indication of effect were also observed for programs that conditioned financial incentives on participation in health education and attendance to health care visits. This finding suggest that the measured effect may be less a consequence of the financial incentive and more due to conditionalities addressing important informational barriers.

Project description:BackgroundFinancial incentive interventions have been suggested as one method of promoting healthy behaviour change.ObjectivesTo conduct a systematic review of the effectiveness of financial incentive interventions for encouraging healthy behaviour change; to explore whether effects vary according to the type of behaviour incentivised, post-intervention follow-up time, or incentive value.Data sourcesSearches were of relevant electronic databases, research registers, www.google.com, and the reference lists of previous reviews; and requests for information sent to relevant mailing lists.Eligibility criteriaControlled evaluations of the effectiveness of financial incentive interventions, compared to no intervention or usual care, to encourage healthy behaviour change, in non-clinical adult populations, living in high-income countries, were included.Study appraisal and synthesisThe Cochrane Risk of Bias tool was used to assess all included studies. Meta-analysis was used to explore the effect of financial incentive interventions within groups of similar behaviours and overall. Meta-regression was used to determine if effect varied according to post-intervention follow up time, or incentive value.ResultsSeventeen papers reporting on 16 studies on smoking cessation (n = 10), attendance for vaccination or screening (n = 5), and physical activity (n = 1) were included. In meta-analyses, the average effect of incentive interventions was greater than control for short-term (? six months) smoking cessation (relative risk (95% confidence intervals): 2.48 (1.77 to 3.46); long-term (>six months) smoking cessation (1.50 (1.05 to 2.14)); attendance for vaccination or screening (1.92 (1.46 to 2.53)); and for all behaviours combined (1.62 (1.38 to 1.91)). There was not convincing evidence that effects were different between different groups of behaviours. Meta-regression found some, limited, evidence that effect sizes decreased as post-intervention follow-up period and incentive value increased. However, the latter effect may be confounded by the former.ConclusionsThe available evidence suggests that financial incentive interventions are more effective than usual care or no intervention for encouraging healthy behaviour change.Trial registrationPROSPERO CRD42012002393.

Project description:ImportanceAlthough screening decreases incidence of and mortality from colorectal cancer (CRC), screening rates are low. Health-promoting financial incentives may increase uptake of cancer screening.ObjectiveTo evaluate the relative and absolute benefit associated with adding financial incentives to the uptake of CRC screening.Data sourcesPubMed, Cochrane Central Register of Controlled Trials, and Web of Science were searched from inception to July 31, 2020. Keywords and Medical Subject Headings terms were used to identify published studies on the topic. The search strategy identified 835 studies.Study selectionRandomized clinical trials (RCTs) were selected that involved adults older than 50 years who were eligible for CRC screening, who received either various forms of financial incentives along with mailed outreach or no financial incentives but mailed outreach and reminders alone, and who reported screening completion by using recommended tests at different time points. Observational or nonrandomized studies and a few RCTs were excluded.Data extraction and synthesisThe review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). Data were abstracted and risk of bias was assessed by 2 independent reviewers. Random-effects meta-analysis was conducted, heterogeneity was examined through subgroup analysis and metaregression, and quality of evidence was appraised.Main outcomes and measuresThe primary outcome was CRC screening completion within 12 months of receiving the intervention.ResultsA total of 8 RCTs that were conducted in the United States and reported between January 1, 2014, and December 31, 2020, were included. The trials involved 110 644 participants, of whom 53 444 (48.3%) were randomized to the intervention group (received financial incentives) and 57 200 (51.7%) were randomized to the control group (received no financial incentives). Participants were predominantly male, with 59 113 men (53.4%). Low-quality evidence (rated down for risk of bias and heterogeneity) suggested that adding financial incentives may be associated with a small benefit of increasing CRC screening vs no financial incentives (odds ratio [OR], 1.25; 95% CI, 1.05-1.49). With mailed outreach having a 30% estimated CRC screening completion rate, adding financial incentives may increase the rate to 33.5% (95% CI, 30.8%-36.2%). On metaregression, the magnitude of benefit decreased as the proportion of participants with low income and/or from racial/ethnic minority groups increased. No significant differences were observed by type of behavioral economic intervention (fixed amount: OR, 1.26 [95% CI, 1.05-1.52] vs lottery: OR, 1.06 [95% CI, 0.80-1.40]; P = .32), amount of incentive (≤$5: OR, 1.09 [95% CI, 1.01-1.18] vs >$5: OR, 1.25 [95% CI, 1.02-1.54]; P = .22), or screening modality (stool-based test: OR, 1.14 [95% CI, 0.92-1.41] vs colonoscopy: OR, 1.63 [95% CI, 1.01-2.64]; P = .18).Conclusions and relevanceAdding financial incentives appeared to be associated with a small benefit of increasing CRC screening uptake, with marginal benefits in underserved populations with adverse social determinants of health. Alternative approaches to enhancing CRC screening uptake are warranted.

Dataset Information

Personal financial incentives for changing habitual health-related behaviors: A systematic review and meta-analysis.

Objectives

Methods

Results

Conclusions

Publications

Personal financial incentives for changing habitual health-related behaviors: A systematic review and meta-analysis.

Similar Datasets

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