Introduction Healthcare expenditure, a common input used in health systems efficiency analyses is affected by population age structure. However, while age structure is usually considered to adjust health system outputs, health expenditure and other inputs are seldom adjusted. We propose methods for adjusting Health Expenditure per Capita (HEpC) for population age structure on health system efficiency analyses and assess the goodness-of-fit, correlation, reliability and disagreement of different approaches. Methods We performed a worldwide (188 countries) cross-sectional study of efficiency in 2015, using a stochastic frontier analysis. As single outputs, healthy life expectancy (HALE) at birth and at 65 years-old were considered in different models. We developed five models using as inputs: (1) HEpC (unadjusted); (2) age-adjusted HEpC; (3) HEpC and the proportion of 0–14, 15–64 and 65 + years-old; (4) HEpC and 5-year age-groups; and (5) HEpC ageing index. Akaike and Bayesian information criteria, Spearman’s rank correlation, intraclass correlation coefficient and information-based measure of disagreement were computed. Results Models 1 and 2 showed the highest correlation (0.981 and 0.986 for HALE at birth and HALE at 65 years-old, respectively) and reliability (0.986 and 0.988) and the lowest disagreement (0.011 and 0.014). Model 2, with age-adjusted HEpC, presented the lowest information criteria values. Conclusions Despite different models showing good correlation and reliability and low disagreement, there was important variability when age structure is considered that cannot be disregarded. The age-adjusted HE model provided the best goodness-of-fit and was the closest option to the current standard.
Primary healthcare (PHC) governance model, namely its financing scheme, might impact the health outcomes, particularly in chronic conditions, through avoidable hospital admissions (AvH). Therefore, the study aims to assess how the PHC financial governance model determines AvH, as well as how this interacts with the health system financing (HSF) scheme. An observational study comparing the GP employment type (publicly and self/privately) with asthma and COPD, and Diabetes AvH per 100,000 habitants in 26 countries of the European Region, was performed. It considered 4 regression models with structural determinants, service delivery and HSF schemes. GP self/privately employed group associated with social health insurance scheme was significantly associated with higher total AvH (OR = 28.27 [CI 95% 2.34–77.54]), and for asthma and COPD AvH (OR = 21.88 [CI 95% 6.69–180.18]). Diabetes AvH were significantly associated with increasing GP outpatient coverage (model 1) and GP availability (model 2) under a GP self/privately employed group (respectively, OR = 17.01 [CI 95% 3.67–20.63] and OR = 17.80 [CI 95% 8.12–130.35]). The study evidenced that publicly employed GPs working in a tax‐based HSF scheme ensure better health outcomes for the population. Although some limitations of equity and categorisation, the results show that the governance model might influence population health outcomes.
Background Primary health care (PHC) is the cornerstone of several health systems. The Portuguese PHC is organized in five mainland regions (ARS), that oversee 55 local groups of primary healthcare centres (ACES). We assessed the efficiency of all 55 ACES in mainland Portugal, as well as organizational and socioeconomic determinants of the efficiency. Methods A cross-sectional non-parametric frontier analysis was performed for 2017. The first model included two inputs (i.e. number of physicians and number of nurses) and a single output (i.e. number of PHC visits), while the second model included an additional output, i.e. Prevention Quality Indicator (PQI) overall composite (avoidable hospitalizations) adjusted for age and sex - as undesirable output. In a second stage, a (multivariate) Tobit regression was used to assess organizational and socioeconomic determinants of efficiency. Results In the first model, only 8 ACES (14.5%) were on the efficiency frontier, while 25 ACES should readjust their human resource balance. In the second model, 9 ACES (16.4%) were considered efficient. When considering quality, one ACES previously considered inefficient moved to the frontier and two ACES lost their benchmark position. The second-stage analysis indicates that groups with a higher proportion of PHC units with pay-for-performance incentives were associated with higher efficiency. Conclusions Most ACES have the potential to improve their production levels., A better management of human resources can contribute to improve overall efficiency. ACES with a higher proportion of units with pay-for-performance schemes seem to be more efficient. These findings contribute to the evaluation of policies to integrate and scale up PHC services locally, such as the recent primary care networks in the NHS UK. This work was financed by FEDER funds through the COMPETE 2020 - POCI, and by Portuguese funds through FCT in the framework of the project POCI-01-0145-FEDER-030766 “1st.IndiQare”. Key messages Most Portuguese ACES have the potential to improve their outputs given their current level of human resources. Local groups that aggregate more PHC units with pay-for-performance schemes are associated with high efficiency.
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