Payment schemes and treatment responses after a demand shock in mental health care.
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ABSTRACT:
SUBMITTER: Douven R
PROVIDER: S-EPMC9291998 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The literature around co-payment shows evidence of increasing consumption following reduced co-payment. We apply difference-in-difference methods to assess the effect of abolishing the co-payment on psychologist treatment of anxiety and depression in 18 to 21-year olds. We apply nationwide individual level data with individuals close to this age interval as control group. The population amounts to approximately 1.2 million individuals and a total of 51 million patient months of observations. We show that after removing co-payment, the use of psychologist treatment almost doubles. We find that this increase involves moderately positive spill over effects on outpatient psychiatric care and on prescriptions of antidepressants. In the heterogeneity analysis we find evidence of higher effects on adolescents from families with lower income, indicating that reduced co-payments may increase equality in access. We also see that effects are higher for individuals listed with general practitioners (GPs) with a reluctant referral style; indicating that these GPs' behavior is affected by patient co-payment rates. Interestingly, we find evidence of significant reductions in suicide attempts - primarily among high-income women and low-income men. This indicates that better access to mental health care for adolescents may have a positive impact on their mental health and well-being.
| S-EPMC9804611 | biostudies-literature
Project description:One promising way to improve the motivation of healthcare providers and the quality of healthcare services is performance-based incentives (PBIs) also referred as performance-based financing. Our study aims to explore healthcare providers' preferences for an incentive scheme based on local resources, which aimed at improving the quality of maternal and child health care in the Nouna Health District.A qualitative and quantitative survey was carried out in 2010 involving 94 healthcare providers within 34 health facilities. In addition, in-depth interviews involving a total of 33 key informants were conducted at health facility levels.Overall, 85% of health workers were in favour of an incentive scheme based on the health district's own financial resources (95% CI: [71.91; 88.08]). Most health workers (95 and 96%) expressed a preference for financial incentives (95% CI: [66.64; 85.36]) and team-based incentives (95% CI: [67.78; 86.22]), respectively. The suggested performance indicators were those linked to antenatal care services, prevention of mother-to-child human immunodeficiency virus transmission, neonatal care, and immunization.The early involvement of health workers and other stakeholders in designing an incentive scheme proved to be valuable. It ensured their effective participation in the process and overall acceptance of the scheme at the end. This study is an important contribution towards the designing of effective PBI schemes.
| S-EPMC4703797 | biostudies-other
Project description:ObjectivesCommunity-based health insurance (CBI) is a common mechanism to generate financial resources for health care in developing countries. We review for the first time provider payment methods used in CBI in developing countries and their impact on CBI performance.MethodsWe conducted a systematic review of the literature on provider payment methods used by CBI in developing countries published up to January 2010.ResultsInformation on provider payment was available for a total of 32 CBI schemes in 34 reviewed publications: 17 schemes in South Asia, 10 in sub-Saharan Africa, 4 in East Asia and 1 in Latin America. Various types of provider payment were applied by the CBI schemes: 17 used fee-for-service, 12 used salaries, 9 applied a coverage ceiling, 7 used capitation and 6 applied a co-insurance. The evidence suggests that provider payment impacts CBI performance through provider participation and support for CBI, population enrolment and patient satisfaction with CBI, quantity and quality of services provided and provider and patient retention. Lack of provider participation in designing and choosing a CBI payment method can lead to reduced provider support for the scheme.ConclusionCBI schemes in developing countries have used a wide range of provider payment methods. The existing evidence suggests that payment methods are a key determinant of CBI performance and sustainability, but the strength of this evidence is limited since it is largely based on observational studies rather than on trials or on quasi-experimental research. According to the evidence, provider payment can affect provider participation, satisfaction and retention in CBI; the quantity and quality of services provided to CBI patients; patient demand of CBI services; and population enrollment, risk pooling and financial sustainability of CBI. CBI schemes should carefully consider how their current payment methods influence their performance, how changes in the methods could improve performance, and how such effects could be assessed with scientific rigour to increase the strength of evidence on this topic.
| S-EPMC3584992 | biostudies-literature
Project description:To assess the role of value-based payment (VBP) in improving fidelity and patient outcomes in community implementation of an evidence-based mental health intervention, the Collaborative Care Model (CCM).Retrospective study based on a natural experiment.We used the clinical tracking data of 1806 adult patients enrolled in a large implementation of the CCM in community health clinics in Washington state. VBP was initiated in year 2 of the program, creating a natural experiment. We compared implementation fidelity (measured by 3 process-of-care elements of the CCM) between patient-months exposed to VBP and patient-months not exposed to VBP. A series of regressions were estimated to check robustness of findings. We estimated a Cox proportional hazard model to assess the effect of VBP on time to achieving clinically significant improvement in depression (measured based on changes in depression symptom scores over time).Estimated marginal effects of VBP on fidelity ranged from 9% to 30% of the level of fidelity had there been no exposure to VBP (P <.05 for every fidelity measure). Improvement in fidelity in response to VBP was greater among providers with a larger patient panel and among providers with a lower level of fidelity at baseline. Exposure to VBP was associated with an adjusted hazard ratio of 1.45 (95% confidence interval, 1.04-2.03) for achieving clinically significant improvement in depression.VBP improved fidelity to key elements of the CCM, both directly incentivized and not explicitly incentivized by the VBP, and improved patient depression outcomes.
| S-EPMC5559616 | biostudies-literature
Project description:BackgroundMixed payment schemes have become one of the effective measures to balance medical costs and quality of medical services. However, altruism as an intrinsic motivation may influence the effect of switching from a pure payment system to mixed payment schemes. This study aimed to quantify physicians' altruism and analyze the effect of changes of payment system on physicians' altruism and thus proposed references for the reform of payment system.MethodsWe simulated an exogenous payment system in a controlled laboratory with five experimental groups and 150 medical student subjects. Physicians' altruism was measured by estimating altruistic parameter and marginal rate of substitution. The non-parametric test and the least square regression analysis were used to analyze the differences of altruistic parameters between pure payment systems and mixed payment schemes. Finally, we analyzed the effect of changes in payment system accompanied by changes in trade-off range on physicians' altruism.ResultsWe find that the mean value of individual altruistic parameter is 0.78 and the marginal rate of substitution is 1.078. Their estimates at the individual level were significantly positively correlated (Spearman's ρ = 0.715, p < 0.01). The shift from pure payment system to mixed payment scheme reduced the altruistic parameter. However, the altruistic parameter increased with the increase of the trade-off range. Physicians who were more altruistic generated higher patients' health benefit. For each unit increase in altruistic parameter, the increase in patients' health benefit was lower in mixed payment scheme than in the pure payment system.ConclusionThe estimates of altruistic parameters are reliable. Physicians attach a higher weight to patients' benefit than to their own profit. Mixed payment schemes improve physicians' behavior and relate to lower altruistic parameters; physicians only need to sacrifice less personal profits to generate the same or even higher altruistic parameter as under the pure payment system. The design of mixed payment schemes that make the interests of physicians and patients close to each other by reducing the trade-off range can provide implication for the reform of payment system in which the physicians' interest and the patients' benefit are consistent.
| S-EPMC9893586 | biostudies-literature
Project description: Not available
| S-EPMC6463846 | biostudies-literature
Project description:ImportanceManaged care payment formulas commonly allocate more money for medically complex populations, but ignore most social determinants of health (SDH).ObjectiveTo add SDH variables to a diagnosis-based payment formula that allocates funds to managed care plans and accountable care organizations.Design, setting, and participantsUsing data from MassHealth, the Massachusetts Medicaid and Children's Health Insurance Program, we estimated regression models predicting Medicaid spending using a diagnosis-based and SDH-expanded model, and compared the accuracy of their cost predictions overall and for vulnerable populations. MassHealth members enrolled for at least 6 months in 2013 in fee-for-service (FFS) programs (n = 357 660) or managed care organizations (MCOs) (n = 524 607).ExposuresWe built cost prediction models from a fee-for-service program. Predictors in the diagnosis-based model are age, sex, and diagnoses from claims. The SDH model adds predictors describing housing instability, behavioral health issues, disability, and neighborhood-level stressors.Main outcomes and measuresOverall model explanatory power and overpayments and underpayments for subgroups of interest for all Medicaid-reimbursable expenditures excepting long-term support services (mean annual cost = $5590 per member).ResultsWe studied 357 660 people who were FFS participants and 524 607 enrolled in MCOs with a combined 806 889 person-years of experience. The FFS program experience included more men (49.6% vs 43.6%), older patients (mean age of 26.1 years vs 21.6 years), and sicker patients (mean morbidity score of 1.16 vs 0.89) than MCOs. Overall, the SDH model performed well, but only slightly better than the diagnosis-based model, explaining most of the spending variation in the managed care population (validated R2 = 62.4) and reducing underpayments for several vulnerable populations. For example, raw costs for the quintile of people living in the most stressed neighborhoods were 9.6% ($537 per member per year) higher than average. Since greater medical morbidity accounts for much of this difference, the diagnosis-based model underpredicts costs for the most stressed quintile by about 2.1% ($130 per member per year). The expanded model eliminates the neighborhood-based underpayment, as well as underpayments of 72% for clients of the Department of Mental Health (observed costs of about $30 000 per year) and of 7% for those with serious mental illness (observed costs of about $16 000 per year).Conclusions and relevanceSince October 2016, MassHealth has used an expanded model to allocate payments from a prespecified total budget to managed care organizations according to their enrollees' social and medical risk. Extra payments for socially vulnerable individuals could fund activities, such as housing assistance, that could improve health equity.
| S-EPMC5710209 | biostudies-literature
Project description:BackgroundUncertainty about the benefits new cancer medicines will deliver in clinical practice risks delaying patient access to new treatment options in countries such as England, where the cost effectiveness of new medicines affects reimbursement decisions. Outcome-based payment (OBP) schemes, whereby the price paid for the drug is linked to patients' real-world treatment outcome(s) has been put forward as a mechanism to accelerate access. Although OBP schemes have generally focused on clinical outcomes to determine reimbursement, the degree to which these represent the outcomes that are important to patients is unclear.ObjectiveTo advance the application of OBP we ask, what outcomes do patients with cancer value (most) that might form a practical basis for OBP?MethodsA review of the literature on outcomes in cancer produced a long list of candidates. These were evaluated in a focus group with patients with cancer and were then, in a second focus group, distilled to a shortlist of ten outcomes using a card sort method. The ten outcomes were included in an online survey of patients with cancer and carers, who were asked to rank the importance of each outcome.ResultsThe focus groups identified a range of both clinical and functional outcomes that are important to patients. Analyses of the 164 survey responses suggested that the four most important outcomes to patients and carers are survival; progression, relapse or recurrence; post-treatment side effects; and return to normal activities of daily life.ConclusionCommissioners of cancer services wishing to instigate an OBP scheme should prioritise collecting data on these outcomes as they are important to patients. Of these, only mortality data are routinely collected within the national health service (NHS). Progression and some morbidity data exist but are not currently linked, creating a challenge for OBP.
| S-EPMC7478942 | biostudies-literature
Project description:Reimbursement of English mental health hospitals is moving away from block contracts and towards activity and outcome-based payments. Under the new model, patients are categorised into 20 groups with similar levels of need, called clusters, to which prices may be assigned prospectively. Clinicians, who make clustering decisions, have substantial discretion and can, in principle, directly influence the level of reimbursement the hospital receives. This may create incentives for upcoding. Clinicians are supported in their allocation decision by a clinical clustering algorithm, the Mental Health Clustering Tool, which provides an external reference against which clustering behaviour can be benchmarked. The aims of this study are to investigate the degree of mismatch between predicted and actual clustering and to test whether there are systematic differences amongst providers in their clustering behaviour. We use administrative data for all mental health patients in England who were clustered for the first time during the financial year 2014/15 and estimate multinomial multilevel models of over, under, or matching clustering. Results suggest that hospitals vary systematically in their probability of mismatch but this variation is not consistently associated with observed hospital characteristics.
| S-EPMC6491985 | biostudies-literature
Project description:BackgroundPopulation-based global payment gives health care providers a spending target for the care of a defined group of patients. We examined changes in spending, utilization, and quality through 8 years of the Alternative Quality Contract (AQC) of Blue Cross Blue Shield (BCBS) of Massachusetts, a population-based payment model that includes financial rewards and penalties (two-sided risk).MethodsUsing a difference-in-differences method to analyze data from 2006 through 2016, we compared spending among enrollees whose physician organizations entered the AQC starting in 2009 with spending among privately insured enrollees in control states. We examined quantities of sentinel services using an analogous approach. We then compared process and outcome quality measures with averages in New England and the United States.ResultsDuring the 8-year post-intervention period from 2009 to 2016, the increase in the average annual medical spending on claims for the enrollees in organizations that entered the AQC in 2009 was $461 lower per enrollee than spending in the control states (P<0.001), an 11.7% relative savings on claims. Savings on claims were driven in the early years by lower prices and in the later years by lower utilization of services, including use of laboratory testing, certain imaging tests, and emergency department visits. Most quality measures of processes and outcomes improved more in the AQC cohorts than they did in New England and the nation in unadjusted analyses. Savings were generally larger among subpopulations that were enrolled longer. Enrollees of organizations that entered the AQC in 2010, 2011, and 2012 had medical claims savings of 11.9%, 6.9%, and 2.3%, respectively, by 2016. The savings for the 2012 cohort were statistically less precise than those for the other cohorts. In the later years of the initial AQC cohorts and across the years of the later-entry cohorts, the savings on claims exceeded incentive payments, which included quality bonuses and providers' share of the savings below spending targets.ConclusionsDuring the first 8 years after its introduction, the BCBS population-based payment model was associated with slower growth in medical spending on claims, resulting in savings that over time began to exceed incentive payments. Unadjusted measures of quality under this model were higher than or similar to average regional and national quality measures. (Funded by the National Institutes of Health.).
| S-EPMC6733755 | biostudies-literature