Chronic disease onset and wellbeing development: longitudinal analysis and the role of healthcare access

BACKGROUND

Experiencing the onset of a chronic disease is a serious health event impacting living conditions and wellbeing. Investigating wellbeing development and its predictors is crucial to understand how individuals adapt to chronic illnesses. This study (i) analyzed the impact of a chronic disease on wellbeing development, and (ii) explored spatial healthcare access as potential moderating factor.

METHODS

Data were obtained from the German Socio-economic Panel, a nationally representative household survey. A prospective sample of 3847 individuals was identified for whom the onset of cancer, cardiopathy, diabetes or stroke was observed between 2008 and 2020. Mixed models using an interrupted time series approach were performed to identify immediate level changes and longitudinal trend changes in wellbeing (operationalized with health and life satisfaction) after disease onset. Further, spatial access to healthcare (operationalized by two-stage floating catchment area measures) as potential moderating factor was examined using interaction effects.

RESULTS

Chronic disease onset had an immediate negative level impact on health and life satisfaction. For health satisfaction, a negative pre-onset wellbeing trend was offset (but not reversed). A small positive trend was observed for life satisfaction after disease onset. Spatial access to healthcare was not associated with the magnitude of wellbeing reduction at onset.

CONCLUSIONS

Health and life satisfaction levels drop with the onset of a chronic disease with no recovery trend for health and little recovery for life satisfaction, implying persistently lower wellbeing levels after a chronic illness onset. Spatial access to healthcare does not affect the wellbeing change after disease onset.

Gravity models for potential spatial healthcare access measurement: a systematic methodological review

BACKGROUND

Quantifying spatial access to care-the interplay of accessibility and availability-is vital for healthcare planning and understanding implications of services (mal-)distribution. A plethora of methods aims to measure potential spatial access to healthcare services. The current study conducts a systematic review to identify and assess gravity model-type methods for spatial healthcare access measurement and to summarize the use of these measures in empirical research.

METHODS

A two-step approach was used to identify (1) methodological studies that presented a novel gravity model for measuring spatial access to healthcare and (2) empirical studies that applied one of these methods in a healthcare context. The review was conducted according to the PRISMA guidelines. EMBASE, CINAHL, Web of Science, and Scopus were searched in the first step. Forward citation search was used in the second step.

RESULTS

We identified 43 studies presenting a methodological development and 346 empirical application cases of those methods in 309 studies. Two major conceptual developments emerged: The Two-Step Floating Catchment Area (2SFCA) method and the Kernel Density (KD) method. Virtually all other methodological developments evolved from the 2SFCA method, forming the 2SFCA method family. Novel methodologies within the 2SFCA family introduced developments regarding distance decay within the catchment area, variable catchment area sizes, outcome unit, provider competition, local and global distance decay, subgroup-specific access, multiple transportation modes, and time-dependent access. Methodological developments aimed to either approximate reality, fit a specific context, or correct methodology. Empirical studies almost exclusively applied methods from the 2SFCA family while other gravity model types were applied rarely. Distance decay within catchment areas was frequently implemented in application studies, however, the initial 2SFCA method remains common in empirical research. Most empirical studies used the spatial access measure for descriptive purposes. Increasingly, gravity model measures also served as potential explanatory factor for health outcomes.

CONCLUSIONS

Gravity models for measuring potential spatial healthcare access are almost exclusively dominated by the family of 2SFCA methods-both for methodological developments and applications in empirical research. While methodological developments incorporate increasing methodological complexity, research practice largely applies gravity models with straightforward intuition and moderate data and computational requirements.

Financial incentives and antibiotic prescribing patterns: Evidence from dispensing physicians in a public healthcare system

To ensure sufficient access to healthcare in remote areas, some countries allow physicians to directly dispense prescribed drugs through on-site pharmacies. Depending on the medication prescribed, this may pose a significant financial incentive for physicians to over-prescribe. This study, therefore, explored the effect of on-site pharmacies on antibiotic dispensing in a social health insurance system. Investigating physicians' prescribing behavior is especially relevant in the case of antibiotics, as over-utilization expedites antimicrobial resistance, leading to the development of untreatable bacterial infections. The empirical analysis was based on comprehensive administrative data on 13,741 antibiotic prescriptions issued by all 4044 public general practitioners (GPs) in Austria between 2016 and 2019. Switches from dispensing to non-dispensing status (and vice versa) were exploited in a difference-in-difference framework to mitigate a potential selection bias. GPs with the right to dispense over the entire observed period were used as the control group, and those who had either lost or gained the right to dispense as the treatment group. The results from a log-linear mixed model show that not currently operating an on-site pharmacy is associated with a 9.2% lower dispensing rate (i.e., antibiotics per 1000 yearly consultations). The results are robust to potential differences between GPs who switch from dispensing to non-dispensing and those who switch from non-dispensing to dispensing, to potential patient sorting, and to different functional forms. A prescribing effect interpretation (i.e., financial incentives give rise to more prescriptions for antibiotics) explains the observed volume effect provided that the share of unfilled antibiotic prescriptions issued by non-dispensing physicians does not exceed 4%.