Assessing the uptake of incentivised physical health checks for people with serious mental illness.

BACKGROUND: People with serious mental illness (SMI) are more likely to suffer from physical illnesses. The onset of many of these illnesses can be prevented if detected early. Physical health screening for people with SMI is incentivised in primary care in England through the Quality and Outcomes Framework (QOF). General Practitioners are paid to conduct annual physical health checks (PHCs) on their SMI patients, including checks on body mass index (BMI), cholesterol, and alcohol consumption. AIM: To assess the impact of removing and reintroducing QOF financial incentives on uptake of three PHCs (BMI, cholesterol, and alcohol consumption) for patients with SMI. DESIGN AND SETTING: Cohort study using UK primary care data from the Clinical Practice Research Datalink between April 2011 and March 2020. METHOD: We employed a difference-in-difference analysis to compare differences in the uptake before and after the intervention accounting for relevant observed and unobserved confounders. RESULTS: We found an immediate change in uptake after PHCs were removed from, and after they were added back to the QOF list. For BMI, cholesterol, and alcohol checks the overall impact of removal was a reduction in uptake of 14.3, 6.8, and 11.9 percentage points, respectively. The reintroduction of BMI screening in the QOF increased the uptake by 10.2 percentage points. CONCLUSION: Our analysis supports the hypothesis that QOF incentives lead to better uptake of PHCs.

Microsimulation Models on Mental Health: A Critical Review of the Literature.

OBJECTIVES: To retrieve and synthesize the literature on existing mental health-specific microsimulation models or generic microsimulation models used to examine mental health, and to critically appraise them. METHODS: All studies on microsimulation and mental health published in English in MEDLINE, Embase, PsycINFO, and EconLit between January 1, 2010, and September 30, 2022, were considered. Snowballing, Google searches, and searches on specific journal websites were also undertaken. Data extraction was done on all studies retrieved and the reporting quality of each model was assessed using the Quality Assessment Reporting for Microsimulation Models checklist, a checklist developed by the research team. A narrative synthesis approach was used to synthesize the evidence. RESULTS: Among 227 potential hits, 19 studies were found to be relevant. Some studies covered existing economic-demographic models, which included a component on mental health and were used to answer mental-health-related research questions. Other studies were focused solely on mental health and included models that were developed to examine the impact of specific policies or interventions on specific mental disorders or both. Most models examined were of medium quality. The main limitations included the use of model inputs based on self-reported and/or cross-sectional data, small and/or nonrepresentative samples and simplifying assumptions, and lack of model validation. CONCLUSIONS: This review found few high-quality microsimulation models on mental health. Microsimulation models developed specifically to examine mental health are important to guide healthcare delivery and service planning. Future research should focus on developing high-quality mental health-specific microsimulation models with wide applicability and multiple functionalities.

Is food insecurity related to health-care use, access and absenteeism?

OBJECTIVE: Food insecurity (FI) is defined as uncertain access to healthy food in quantity and quality. We hypothesize that FI may be associated with greater health-care use and absenteeism because it may amplify the effect of diseases; also, FI may be associated with reduced health-care access because it reflects economic vulnerability. The present study estimates the association between FI and health-care use and access, and absenteeism. DESIGN: Cross-sectional data collected in 2015-2016. Health-care use was measured as the number of consultations, taking any drug and having been hospitalized in the past year. Health-care access was measured by the suspension of medication and having fewer consultations due to financial constraints. Absenteeism was measured by the weeks of sickness leave. Binary variables were modelled as a function of FI using logistic regressions; continuous variables were modelled as a function of FI using negative binomial and zero-inflated negative binomial regressions. Covariates were included sequentially. SETTING: Portugal. PARTICIPANTS: Non-institutionalized adults from the EpiDoc3 cohort (n 5648). RESULTS: FI was significantly associated with health-care use before controlling for socio-economic conditions and quality of life. Moderate/severe FI was positively related to the suspension of medicines (adjusted OR = 4·68; 95 % CI 3·11, 6·82) and to having fewer consultations (adjusted OR = 3·98; 95 % CI 2·42, 6·37). FI and absenteeism were not significantly associated. CONCLUSIONS: Our results support the hypothesis that FI reflects precariousness, which hinders access to health care. The greater use of health care among food-insecure people is explained by their worse quality of life and lower socio-economic condition, so that the specific role of poor nutrition is unclear.

Reforming the Portuguese mental health system: an incentive-based approach.

BACKGROUND: To promote an effective mental health system, the World Health Organization recommends the involvement of primary care in prevention and treatment of mild diseases and community-based care for serious mental illnesses. Despite a prevalence of lifetime mental health disorders above 30%, Portugal is failing to achieve such recommendations. It was argued that this failure is partly due to inadequate financing mechanisms of mental health care providers. This study proposes an innovative payment model for mental health providers oriented toward incentivising best practices. METHODS: We performed a comprehensive review of healthcare providers' payment schemes and their related incentives, and a narrative review of best practices in mental health prevention and care. We designed an alternative payment model, on the basis of the literature, and then we presented it individually, through face-to-face interviews, to a panel of 22 experts with different backgrounds and experience, and from southern and northern Portuguese regions, asking them to comment on the model and provide suggestions. Then, after a first round of interviews, we revised our model, which we presented to experts again for their approval, and provide new suggestions and comments, if deemed necessary. This approach is close to what is generally known as the Delphi technique, although it was not applied in a rigid way. RESULTS: We designed a four-dimension model that focused on (i) the prevention of mental disorders early in life; (ii) the detection of mental disorders in childhood and adolescence; (iii) the implementation of a collaborative stepped care model for depression; and (iv) the integrated community-based care for patients with serious mental illnesses. First, we recommend a bundled payment to primary care practices for the follow-up of children with special needs or at risk under 2 years of age. Second, we propose a pay-for-performance scheme for all primary care practices, based on the number of users under 18 years old who are provided with check-up consultations. Third, we propose a pay-for-performance scheme for all primary care practices, based on the implementation of collaborative stepped care for depression. Finally, we propose a value-based risk-adjusted bundled payment for patients with serious mental illness. CONCLUSIONS: The implementation of evidence-based best practices in mental health needs to be supported by adequate payment mechanisms. Our study shows that mental health experts, including decision makers, agree with using economic tools to support best practices, which were also consensual.