Hospitalizations for ambulatory care sensitive conditions across primary care models in Ontario, Canada

Risk Adjustment in Capitation Payments to Primary Care Providers: Does it Matter how we Account for Patients' Socioeconomic Status?

BACKGROUND

One of the critical challenges with capitation payment to primary care providers is ensuring that the fixed payments are equitable and adjusted for expected care needs. Patients of lower socioeconomic status (SES) generally have higher health care need. Sweden developed a Care Needs Index, which is used in the capitation payments to primary care providers to account for patient SES.

OBJECTIVES

We aim to examine the potential value of collecting individual-level rather than geographic-level socioeconomic data to support an equitable payment to primary care providers.

RESEARCH DESIGN

We used data from 3 regional administrative care registers, which cover all consultations in publicly funded health care, and Statistics Sweden's registers covering individual background characteristics. We estimated linear regression models and evaluated the model fit using the adjusted R2 with the Care Needs Index at the individual and at the district level. The population consisted of the 3,490,943 individuals residing in the 3 study regions for whom we had complete data.

MEASURES

The main outcome variable was the number of face-to-face consultations with a GP or a nurse at a primary care practice. We use the R2 to compare the predictive power of the models.

RESULTS

The share of the variation explained did not depend on whether the Care Needs Index was measured at the individual level or the small area level.

CONCLUSIONS

SES explains very little variation in primary care visits, and there is no gain from having individual-level information about the individual's SES compared with having district-level information only.

Sex Differences in Healthcare Utilization in Persons Living with Dementia Between 2000 and 2017: A Population-Based Study in Quebec, Canada

Objectives: Describe sex differences in healthcare utilization and mortality in persons with new dementia in Quebec, Canada. Methods: We conducted a repeated cohort study from 2000 to 2017 using health administrative databases. Community-dwelling persons aged 65+ with a new diagnosis of dementia were included. We measured 23 indicators of healthcare use across five care settings: ambulatory care, pharmacological care, acute hospital care, long-term care, and mortality. Clinically meaningful sex differences in age-standardized rates were determined graphically through expert consultations. Results: Women with dementia had higher rates of ambulatory care and pharmacological care, while men with dementia had higher acute hospital care, admission to long-term care, and mortality. There was no meaningful difference in visits to cognition specialists, antipsychotic prescriptions, and hospital death. Discussion: Men and women with dementia demonstrate differences in healthcare utilization and mortality. Addressing these differences will inform decision-makers, care providers and researchers and guide more equitable policy and interventions in dementia care.

Primary care payment models and avoidable hospitalizations in Ontario, Canada: A multivalued treatment effects analysis

Improving access to primary care physicians' services may help reduce hospitalizations due to Ambulatory Care Sensitive Conditions (ACSCs). Ontario, Canada's most populous province, introduced blended payment models for primary care physicians in the early- to mid-2000s to increase access to primary care, preventive care, and better chronic disease management. We study the impact of payment models on avoidable hospitalizations due to two incentivized ACSCs (diabetes and congestive heart failure) and two non-incentivized ACSCs (angina and asthma). The data for our study came from health administrative data on practicing primary care physicians in Ontario between 2006 and 2015. We employ a two-stage estimation strategy on a balanced panel of 3710 primary care physicians (1158 blended-fee-for-service (FFS), 1388 blended-capitation models, and 1164 interprofessional team-based practices). First, we account for the differences in physician practices using a generalized propensity score based on a multinomial logit regression model, corresponding to three primary care payment models. Second, we use fractional regression models to estimate the average treatment effects on the treated outcome (i.e., avoidable hospitalizations). The capitation-based model sometimes increases avoidable hospitalizations due to angina (by 7 per 100,000 patients) and congestive heart failure (40 per 100,000) relative to the blended-FFS-based model. Switching capitation physicians into interprofessional teams mitigates this effect, reducing avoidable hospitalizations from congestive heart failure by 30 per 100,000 patients and suggesting better access to primary care and chronic disease management in team-based practices.

Primary care services and emergency department visits in blended fee-for-service and blended capitation models: evidence from Ontario, Canada

INTRODUCTION

It is well-known that the way physicians are remunerated can affect delivery of health care services to the population. Fee-for-service (FFS) generally leads to oversupply of services, while capitation leads to undersupply of services. However, little evidence exists on the link between remuneration and emergency department (ED) visits. We fill this gap using two popular blended models introduced in Ontario, Canada: the Family Health Group (FHG), an enhanced/blended FFS model, and Family Health Organization (FHO), a blended capitation model. We compare primary care services and rates of emergency department ED visits between these two models. We also evaluate whether these outcomes vary by regular- and after-hours, and patient morbidity status.

METHODS

Physicians practicing in an FHG or FHO between April 2012 and March 2017 and their enrolled adult patients were included for analyses. The covariate-balancing propensity score weighting method was used to remove the influence of observable confounding and negative-binomial and linear regression models were used to evaluate the rates of primary care services, ED visits, and the dollar value of primary care services delivered between FHGs and FHOs. Visits were stratified as regular- and after-hours. Patients were stratified into three morbidity groups: non-morbid, single-morbid, and multimorbid (two or more chronic conditions).

RESULTS

6184 physicians and their patients were available for analysis. Compared to FHG physicians, FHO physicians delivered 14% (95% CI 13%, 15%) fewer primary care services per patient per year, with 27% fewer services during after-hours (95% CI 25%, 29%). Patients enrolled to FHO physicians made 27% more less-urgent (95% CI 23%, 31%) and 10% more urgent (95% CI 7%, 13%) ED visits per patient per year, with no difference in very-urgent ED visits. Differences in the pattern of ED visits were similar during regular- and after-hours. Although FHO physicians provided fewer services, multimorbid patients in FHOs made fewer very-urgent and urgent ED visits, with no difference in less-urgent ED visits.

CONCLUSION

Primary care physicians practicing in Ontario's blended capitation model provide fewer primary care services compared to those practicing in a blended FFS model. Although the overall rate of ED visits was higher among patients enrolled to FHO physicians, multimorbid patients of FHO physicians make fewer urgent and very-urgent ED visits.

A study protocol for a predictive model to assess population-based avoidable hospitalization risk: Avoidable Hospitalization Population Risk Prediction Tool (AvHPoRT)

INTRODUCTION

Avoidable hospitalizations are considered preventable given effective and timely primary care management and are an important indicator of health system performance. The ability to predict avoidable hospitalizations at the population level represents a significant advantage for health system decision-makers that could facilitate proactive intervention for ambulatory care-sensitive conditions (ACSCs). The aim of this study is to develop and validate the Avoidable Hospitalization Population Risk Tool (AvHPoRT) that will predict the 5-year risk of first avoidable hospitalization for seven ACSCs using self-reported, routinely collected population health survey data.

METHODS AND ANALYSIS

The derivation cohort will consist of respondents to the first 3 cycles (2000/01, 2003/04, 2005/06) of the Canadian Community Health Survey (CCHS) who are 18-74 years of age at survey administration and a hold-out data set will be used for external validation. Outcome information on avoidable hospitalizations for 5 years following the CCHS interview will be assessed through data linkage to the Discharge Abstract Database (1999/2000-2017/2018) for an estimated sample size of 394,600. Candidate predictor variables will include demographic characteristics, socioeconomic status, self-perceived health measures, health behaviors, chronic conditions, and area-based measures. Sex-specific algorithms will be developed using Weibull accelerated failure time survival models. The model will be validated both using split set cross-validation and external temporal validation split using cycles 2000-2006 compared to 2007-2012. We will assess measures of overall predictive performance (Nagelkerke R2), calibration (calibration plots), and discrimination (Harrell's concordance statistic). Development of the model will be informed by the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) statement.

ETHICS AND DISSEMINATION

This study was approved by the University of Toronto Research Ethics Board. The predictive algorithm and findings from this work will be disseminated at scientific meetings and in peer-reviewed publications.

Potentially avoidable hospitalizations and socioeconomic status in Switzerland: A small area-level analysis

The Swiss healthcare system is well known for the quality of its healthcare and population health but also for its high cost, particularly regarding out-of-pocket expenses. We conduct the first national study on the association between socioeconomic status and access to community-based ambulatory care (CBAC). We analyze administrative and hospital discharge data at the small area level over a four-year time period (2014 - 2017). We develop a socioeconomic deprivation indicator and rely on a well-accepted indicator of potentially avoidable hospitalizations as a measure of access to CBAC. We estimate socioeconomic gradients at the national and cantonal levels with mixed effects models pooled over four years. We compare gradient estimates among specifications without control variables and those that include control variables for area geography and physician availability. We find that the most deprived area is associated with an excess of 2.80 potentially avoidable hospitalizations per 1,000 population (3.01 with control variables) compared to the least deprived area. We also find significant gradient variation across cantons with a difference of 5.40 (5.54 with control variables) between the smallest and largest canton gradients. Addressing broader social determinants of health, financial barriers to access, and strengthening CBAC services in targeted areas would likely reduce the observed gap.

Performing up to Nordic principles? Geographic and socioeconomic equity in ambulatory care sensitive conditions among older adults in capital areas of Denmark, Finland and Sweden in 2000-2015

BACKGROUND

Denmark, Finland and Sweden pursue equity in health for their citizens through universal health care. However, it is unclear if these services reach the older adult population equally across different socioeconomic positions or living areas. Thus, we assessed geographic and socioeconomic equity in primary health care (PHC) performance among the older adults in the capital areas of Denmark (Copenhagen), Finland (Helsinki) and Sweden (Stockholm) in 2000-2015. Hospitalisations for ambulatory care sensitive conditions (ACSC) were applied as a proxy for PHC performance.

METHODS

We acquired individual level ACSCs for those aged ≥ 45 in 2000-2015 from national hospitalisation registers. To identify whether the disparities varied by age, we applied three age groups (those aged 45-64, 65-75 and ≥ 75). Socioeconomic disparities in ACSCs were described with incidence rate ratios (IRR) and annual rates by education, income and living-alone; and then analysed with biennial concentration indices by income. Geographic disparities were described with biennial ACSC rates by small areas and analysed with two-level Poisson multilevel models. These models provided small area estimates of IRRs of ACSCs in 2000 and their slopes for development over time, between which Pearson correlations were calculated within each capital area. Finally, these models were adjusted for income to distinguish between geographic and socioeconomic disparities.

RESULTS

Copenhagen had the highest IRR of ACSCs among those aged 45-64, and Helsinki among those aged ≥ 75. Over time IRRs decreased among those aged ≥ 45, but only in Helsinki among those aged ≥ 75. All concentration indices slightly favoured the affluent population but in Stockholm were mainly non-significant. Among those aged ≥ 75, Pearson correlations were low in Copenhagen (-0.14; p = 0.424) but high in both Helsinki (-0.74; < 0.001) and Stockholm (-0.62; < 0.001) - with only little change when adjusted for income. Among those aged ≥ 45 the respective correlations were rather similar, except for a strong correlation in Copenhagen (-0.51, 0.001) after income adjustment.

CONCLUSIONS

While socioeconomic disparities in PHC performance persisted among older adults in the three Nordic capital areas, geographic disparities narrowed in both Helsinki and Stockholm but persisted in Copenhagen. Our findings suggest that the Danish PHC incorporated the negative effects of socio-economic segregation to a lesser degree.

Is primary health care worth it in the long run? Evidence from Brazil

This paper assesses whether Brazilian primary health care is worth it in the long-run by estimating the accumulated costs and benefits of its flagship, the Family Health Strategy program (ESF). We employ an alternative strategy centered on years of exposure to the program to incorporate its dynamics. We also account for the program's heterogeneity with respect to the remuneration of ESF health teams and the intensity of coverage across Brazilian municipalities, measure by the number of people assisted by each ESF team, on average. To address heterogeneity in professional earnings, this paper employs, for the first time, a dataset containing the remuneration of professionals allocated to all ESF teams nationwide. The benefits are measured by the avoided deaths and hospitalizations due to causes sensitive to primary care. Results suggest that the net monetary benefit of the program is positive on average, with an optimum time of exposure of approximately 16 years. Significant heterogeneities in cost-benefit results were found since costs outweigh benefits in localities where the coverage is low intensive. On the other hand, the benefits outweigh the costs by 22.5% on average in municipalities with high intensive coverage.

Hospitalizations for ambulatory care-sensitive conditions in children, Rondônia, Brazil, 2008-2019

This study aimed to define the profile of hospitalizations of children in public hospitals of 52 municipalities of the state of Rondônia, Brazil. We performed an ecological time series study using secondary data provided by the Hospital Information System. The annual trend of Hospitalizations was presented by age group and health region. Linear regression was performed using the Prais-Winsten technique of the statistical package Stata, version 11.0. Hospitalizations for gastrointestinal diseases were found to be decreasing in all age groups, just as those for vaccine-preventable diseases in children aged between 1 and 9 years. Hospitalizations for skin and subcutaneous tissue diseases were increasing in all ages, as well as those caused by epilepsies in children aged 1 to 9 and those caused by diseases related to childbirth and puerperium. Health regions showed a varied hospitalization profile. A stable trend was found in the Cone Sul, Madeira-Mamoré, Café, Vale do Guaporé, and Vale do Jamari regions, whereas a declining trend was found in the Central and Zona da Mata regions. The high rates of hospitalizations for ambulatory care-sensitive conditions in children show how inefficient strategies and investments in primary care have been in the state of Acre, Brazil.

Direct healthcare cost of hospital admissions for chronic non-communicable diseases sensitive to primary care in the elderly

Aging has imposed changes in the epidemiological profile and an increase in the prevalence of chronic non-communicable diseases (CNCDs). The aim was to estimate the direct cost related to hospital admissions of elderly people affected by CNCDs (hypertension, heart failure and diabetes mellitus) sensitive to primary care, in a medium-sized hospital, in the period 2015-2019. Secondly, we investigated whether clinical and demographic factors explain the costs and length of stay. The medical records of 165 elderly people were analyzed. We found a predominance of women with a mean age of 76.9 years. The most frequent cause of hospitalization was heart failure (62%), and the average length of stay was 9.5 days, and 16% of hospitalizations corresponded to rehospitalizations. Of these, 81% were caused by complications from the previous hospitalization. The estimated total cost was R$ 3 million. Male patients had a longer hospital stay compared to female patients. Hypertension and the total number of procedures were significant predictors of cost and length of stay. We found that in 5 years, the costs of hospital admissions for conditions sensitive to primary care in the elderly are considerable, indicating the relevance of investments in primary care.

The Impact of Primary Care Practice Models on Indicators of Unplanned Health Care Utilization for Ontario Adults Newly Diagnosed With Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is a highly prevalent chronic disease. Most of the care for this population occurs within the primary care setting; however, the extent to which different primary care practice models influence the outcomes of patients with COPD remains unclear.

OBJECTIVE

The study aimed to compare and analyze the influence of different primary care practice models on indicators of unplanned health care utilization among newly diagnosed COPD patients in Ontario.

DESIGN

A retrospective cohort study was conducted using health administrative database within the Institute for Clinical Evaluative Sciences. The cohort included persons who were 35 years and older with physician-diagnosed COPD between January 1, 2014 and December 31, 2019. Patients were assigned into 3 practice models: team-based, traditional, and no enrolment. The primary outcomes examined was unplanned health care utilization, specifically emergency department (ED) visits and hospitalizations. To account for excessive zero values, the zero inflated negative binomial (ZINB) models were used to analyze the association between different practice models and unplanned health care utilization.

RESULTS

Among 57,145 individuals who met the inclusion criteria, 55,994 were included in the regression analysis. Of the included participants, 62.8% of patients were in the traditional group, 30.3% were in the team-based group, and 6.9% were in the no enrolment group. Between 2014 and 2019, 70.7% of the cohort had at least 1 all-cause ED visit without hospitalization. The adjusted ZINB models showed no significant difference in risks of experiencing an unplanned health care utilization between the team-based and traditional groups. However, patients in the no enrolment group had a significantly higher risk of ED visit without hospitalization regardless of cause, ED visit with hospitalization regardless of cause, and 30-day readmissions regardless of cause.

CONCLUSIONS

Primary care practice models are complex, influenced by remuneration and organizational structures, reinforcing the need for further research to enhance our understanding of primary care reforms. Furthermore, given the growing shortage of primary care providers, patients with COPD and other chronic conditions are particularly vulnerable.

Direct healthcare cost of hospital admissions for chronic non-communicable diseases sensitive to primary care in the elderly

Abstract Aging has imposed changes in the epidemiological profile and an increase in the prevalence of chronic non-communicable diseases (CNCDs). The aim was to estimate the direct cost related to hospital admissions of elderly people affected by CNCDs (hypertension, heart failure and diabetes mellitus) sensitive to primary care, in a medium-sized hospital, in the period 2015-2019. Secondly, we investigated whether clinical and demographic factors explain the costs and length of stay. The medical records of 165 elderly people were analyzed. We found a predominance of women with a mean age of 76.9 years. The most frequent cause of hospitalization was heart failure (62%), and the average length of stay was 9.5 days, and 16% of hospitalizations corresponded to rehospitalizations. Of these, 81% were caused by complications from the previous hospitalization. The estimated total cost was R$ 3 million. Male patients had a longer hospital stay compared to female patients. Hypertension and the total number of procedures were significant predictors of cost and length of stay. We found that in 5 years, the costs of hospital admissions for conditions sensitive to primary care in the elderly are considerable, indicating the relevance of investments in primary care.

The Impact of Rural Hospital Closures and Health Service Restructuring on Provincial- and Community-Level Patterns of Hospital Admissions in New Brunswick

In the early 2000s, the Province of New Brunswick, Canada, undertook health system restructuring, including closing some rural hospitals. We examined whether changes in geographic access to hospitals and primary care were associated with changes in patterns of hospital use. We described three measures of hospital use for ambulatory care sensitive conditions (ACSCs) among adults 75 years and younger annually during the period 2004-2013 overall, and at the community scale. We described spatial and temporal patterns in: age-standardized hospitalization rates, age-standardized incidence of hospital admissions, and rates of admissions via ambulance. Overall, rates and incidence of hospitalizations for ACSCs declined while admissions via ambulance remained largely unchanged. We observed considerable regional variation in rates between communities in 2004. This regional variation decreased over time, with rural areas demonstrating the sharpest declines. Changes in hospital service provision within individual communities had little impact on rates of ACSC admissions. Results were consistent across urban and rural communities and were robust to analyses that included older patients and those admitted for reasons other than ACSCs. Our results suggest that the restructuring and hospital closures did not result in substantial changes to regional patterns or rates of service use.

Community-informed, integrated, and coordinated care through a community-level model: A narrative synthesis on community hubs

We identify the core services included in a community hub model of care to improve the understanding of this model for health leaders, decision-makers in community-based organizations, and primary healthcare clinicians. We searched Medline, PubMed, CINAHL, Scopus, Web of Science, and Google from 2000 to 2020 to synthesize original research on community hubs. Eighteen sources were assessed for quality and narratively synthesized (n = 18). Our analysis found 4 streams related to the service delivery in a community hub model of care: (1) Chronic disease management; (2) mental health and addictions; (3) family and reproductive health; and (4) seniors. The specific services within these streams were dependent upon the needs of the community, as a community hub model of care responds and adapts to evolving needs. Our findings inform the work of health leaders tasked with implementing system-level transformations towards community-informed models of care.

The predictive utility of functional status at discharge: a population-level cohort analysis

Background

Functional status is a patient-important, patient-centered measurement. The utility of functional status measures to inform post-discharge patient needs is unknown. We sought to examine the utility of routinely collected functional status measures gathered from older hospitalized patients to predict a panel of post-discharge outcomes.

Methods

In this population-based retrospective cohort study, Adults 65+ discharged from an acute hospitalization between 4 November 2008 and 18 March 2016 in Ontario, Canada and received an assessment of functional status at discharge using the Health Outcomes for Better Information and Care tool were included. Multivariable regression analysis was used to determine the relationship between functional status and emergency department (ED) re-presentation, hospital readmission, long term care facility (LTCF) admission or wait listing (‘LTCF readiness’), and death at 180 days from discharge.

Results

A total of 80 020 discharges were included. 38 928 (48.6%) re-presented to the ED, 24 222 (30.3%) were re-admitted, 5 037 (6.3%) were LTCF ready, and 9 047 (11.3%) died at 180 days. Beyond age, diminished functional status at discharge was the factor most associated with LTCF readiness (adjusted Odds Ratio [OR] 4.11 for those who are completely dependent for activities of daily living compared to those who are independent; 95% Confidence Interval [CI]: 3.70-4.57) and death (OR 3.99; 95% CI: 3.67-4.35). Functional status also had a graded relationship with each outcome and improved the discriminability of the models predicting death and LTCF readiness (p<0.01) but not ED re-presentation or hospital re-admission.

Conclusion

Routinely collected functional status at discharge meaningfully improves the prediction of long term care home readiness and death. The routine assessment of functional status can inform post-discharge care and planning for older adults.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02652-6.

Primary care of mothers and infants by the same or different physicians: a population-based cohort study

BACKGROUND

Different primary care delivery models exist for mothers and their infants. We examined whether primary care system performance measures differed when mother-infant dyads received primary care from the same or different providers.

METHODS

We conducted a population-based cohort study using Ontario health administrative data from 2004 to 2016. We included primiparous women and their singleton term infants and classified the primary care practitioners who provided the majority of care to the infant and the mother as concordant (same family physician for both; reference group), discordant (a different family physician for each) or pediatrician (pediatrician for the child, family physician for the mother). The primary outcome was nonobstetric maternal hospital admissions between 42 days and 2 years after delivery.

RESULTS

Among 481 721 mother-child pairs, 239 033 (49.6%) received concordant care, 114 006 (23.7%) received discordant care, and 128 682 (26.7%) received pediatrician care. Mothers in the pediatrician group were older and had greater comorbidity. Relative to concordant care, maternal nonobstetric hospital admissions occurred similarly under discordant care (adjusted odds ratio [OR] 1.00, 95% confidence interval [CI] 0.96-1.04) and in the pediatrician group (adjusted OR 0.99, 95% CI 0.95-1.02). Maternal deaths were similar under discordant care (adjusted OR 1.00, 95% CI 0.62-1.63) but lower in the pediatrician group (adjusted OR 0.55, 95% CI 0.34-0.89). Maternal primary care visits were lower in both the discordant group (adjusted relative risk [RR] 0.68, 95% CI 0.68-0.69) and the pediatrician group (adjusted RR 0.75, 95% CI 0.75-0.76). Healthy children were more likely to miss the enhanced 18-month well-baby visit under discordant care (adjusted OR 1.06, 95% CI 1.03-1.09) but less likely to miss this visit under pediatrician care (adjusted OR 0.47, 95% CI 0.46-0.49).

INTERPRETATION

Concordant care provided to a new mother and her infant by the same family physician was not associated with better primary care health system performance. The reason that pediatric primary care is associated with better maternal and child outcomes remains to be determined.

Individual and Area-level Factors Contributing to the Geographic Variation in Ambulatory Care Sensitive Conditions in Finland: A Register-based Study

BACKGROUND

Measuring primary health care (PHC) performance through hospitalizations for ambulatory care sensitive conditions (ACSCs) remains controversial-recent cross-sectional research claims that its geographic variation associates more with individual socioeconomic position (SEP) and health status than PHC supply.

OBJECTIVES

To clarify the usage of ACSCs as a PHC performance indicator by quantifying how disease burden, both PHC and hospital supply and spatial access contribute over time to geographic variation in Finland when individual SEP and comorbidities were adjusted for.

METHODS

The Finnish Care Register for Health Care provided hospitalizations for ACSCs (divided further into subgroups of acute, chronic, and vaccine-preventable causes) in 2011-2017. With 3-level nested multilevel Poisson models-individuals, PHC authorities, and hospital authorities-we estimated the proportion of the variance in ACSCs explained by selected factors at 3 time periods.

RESULTS

In age-adjusted and sex-adjusted analysis of total ACSCs the variances between hospital authorities was nearly twice that between PHC authorities. Individual SEP and comorbidities explained 19%-30% of the variance between PHC authorities and 25%-36% between hospital authorities; and area-level disease burden and arrangement and usage of hospital care a further 14%-16% and 32%-33%-evening out the unexplained variances between PHC and hospital authorities.

CONCLUSIONS

Alongside individual factors, areas' disease burden and factors related to hospital care explained the excess variances in ACSCs captured by hospital authorities. Our consistent findings over time suggest that the local strain on health care and the regional arrangement of hospital services affect ACSCs-necessitating caution when comparing areas' PHC performance through ACSCs.

Mental Health Services Provision in Primary Care and Emergency Department Settings: Analysis of Blended Fee-for-Service and Blended Capitation Models in Ontario, Canada

Treating mental illnesses in primary care is increasingly emphasized to improve access to mental health services. Although family physicians (FPs) or general practitioners are in an ideal position to provide the bulk of mental health care, it is unclear how best to remunerate FPs for the adequate provision of mental health services. We examined the quantity of mental health services provided in Ontario's blended fee-for-service and blended capitation models. We evaluated the impact of FPs switching from blended fee-for-service to blended capitation on the provision of mental health services in primary care and emergency department using longitudinal health administrative data from 2007 to 2016. We accounted for the differences between those who switched to blended capitation and non-switchers in the baseline using propensity score weighted fixed-effects regressions to compare remuneration models. We found that switching from blended fee-for-service to blended capitation was associated with a 14% decrease (95% CI 12-14%) in the number of mental health services and an 18% decrease (95% CI 15-20%) in the corresponding value of services. This result was driven by the decrease in services during regular-hours. During after-hours, the number of services increased by 20% (95% CI 10-32%) and the corresponding value increased by 35% (95% CI 17-54%). Switching was associated with a 4% (95% CI 1-8%) decrease in emergency department visits for mental health reasons. Blended capitation reduced provision of mental health services without increasing emergency department visits, suggesting potential efficiency gain in the blended capitation model in Ontario.

Risk factors for avoidable hospitalizations in Canada using national linked data: A retrospective cohort study

Hospitalizations for certain chronic conditions are considered avoidable for adult Canadians given effective and timely primary care management. Individual-level risk factors such as income and health behaviours are not routinely collected in most hospital databases and as a result, are largely uncharacterized for avoidable hospitalization at the national level. The aim of this study was to identify and describe demographic, socioeconomic, and health behavioural risk factors for avoidable hospitalizations in Canada using linked data. A national retrospective cohort study was conducted by pooling eight cycles of the Canadian Community Health Survey (2000/2001-2011) and linking to hospitalization records in the Discharge Abstract Database (1999/2000–2012/2013). Respondents who were younger than 18 years and older than 74 years of age, residing in Quebec, or pregnant at baseline were excluded yielding a final cohort of 389,065 individuals. The primary outcome measure was time-to index avoidable hospitalization. Sex-stratified Cox proportional hazard models were constructed to determine effect sizes adjusted for various factors and their associated 95% confidence intervals. Demographics, socioeconomic status, and health behaviours are associated with risk of avoidable hospitalizations in males and females. In fully adjusted models, health behavioural variables had the largest effect sizes including heavy smoking (Male HR 2.65 (95% CI 2.17–3.23); Female HR 3.41 (2.81–4.13)) and being underweight (Male HR 1.98 (1.14–3.43); Female HR 2.78 (1.61–4.81)). Immigrant status was protective in both sexes (Male HR 0.83 (0.69–0.98); (Female HR 0.69 (0.57–0.84)). Adjustment for behavioural and clinical variables attenuated the effect of individual-level socioeconomic status. This study identified several risk factors for time-to-avoidable hospitalizations by sex, using the largest national database of linked health survey and hospitalization records. The larger effect sizes of several modifiable risk factors highlights the importance of prevention in addressing avoidable hospitalizations in Canada.

Hospitalizações infantis por condições sensíveis à atenção primária em cidade brasileira

Objetivo: analisar a evolução temporal das hospitalizações, de crianças menores de cinco anos, por condições sensíveis à atenção primária em Teresina-PI, Brasil, de 2003 a 2012.Métodos: trata-se de estudo retrospectivo, descritivo e quantitativo, realizado a partir de dados secundários extraídos da Rede Interagencial de Informações para a Saúde, disponíveis no sítio eletrônico do Departamento de Informática do Sistema Único de Saúde. As hospitalizações foram analisadas em dois grupos etários: crianças menores de um ano de idade e crianças entre um e quatro anos de idade.Resultados: apesar das flutuações no período analisado, a taxa de hospitalizações teve um decréscimo de 71,88 %. Em crianças menores de um ano, o declínio foi de 71,49 % e, com idade entre um e quatro anos, a redução foi de 72,30 %. A maioria das hospitalizações ocorreu no sexo masculino, e as causas que predominaram foram gastroenterites infecciosas e pneumonias bacterianas.Conclusões: as hospitalizações por condições sensíveis à atenção primária tiveram um declínio ao longo da década analisada, entretanto houve um predomínio de condições sensíveis que poderiam ser evitadas ou até mesmo solucionadas se fossem aplicadas as medidas disponíveis e de baixo custo nos serviços primários de saúde.

Promoting access to family medicine in Québec, Canada: Analysis of bill 20, enacted in November 2015

Primary care can potentially make an important contribution to improving health system performance. However, Canada does not fare as well as other developed countries in terms of timely access to primary health care services. In November 2015, Bill 20 was introduced in the province of Québec. The goal of Bill 20 was to optimize the utilisation of medical and financial resources to improve access to primary care. Bill 20 states the obligations of general practitioners to register a minimum number of patients, ensure the continuity of care of that population, and practice a minimum number of hours in hospitals. Many actors agreed that access to primary care had to be improved in Québec, but disagreed with Bill 20. In particular, family physicians strongly opposed the financial penalties that were introduced for physicians failing to meet the specified targets. In January 2018, 3 years after Bill 20, indicators for patient registration and continuity of care have considerably improved. However, the attractiveness of general practice seems to have decreased among medical graduates, which creates uncertainty regarding the sustainability of the achievements brought on by Bill 20.

Measuring and improving the quality of tuberculosis care: A framework and implications from the Lancet Global Health Commission

In this article, we describe the framework of the Lancet Global Health Commission on High Quality Health Systems, propose new and undermeasured indicators of TB care quality, and discuss implications of the Commission's key conclusions for measuring and improving the quality of TB care services. The Commission contends that measurement of quality should focus on the processes of care and their impacts. In addition to monitoring treatment coverage and the availability of tools, governments should consider indicators of clinical competence (for e.g. ability of providers to correctly diagnose TB and adhere to treatment guidelines), of timely, continuous and integrated care and of respectful and patient-centered care. Indicators of impact include TB mortality and treatment success rates, but also quality of life and daily functioning among TB patients, public trust in TB services, and bypassing of the formal health system for TB care. Cascades of care, from initial care seeking to recurrence-free survival, should be built in every high-burden country to monitor quality longitudinally. In turn, improvement efforts should target the foundations of health systems and consider the Commission's four universal actions: governing for quality, redesigning service delivery, transforming the health workforce and igniting demand for quality TB services. Important work remains to validate new indicators of TB care quality, develop data collection systems for new measures, and to test new strategies for improving the delivery of competent and respectful TB care.

Immigration factors and potentially avoidable hospitalizations in Canada

Objective

Estimate the effect of immigration characteristics on the risk of a hospitalization for an ambulatory care sensitive condition (ACSC).

Research design

We analyzed data on the Canadian resident adult population aged 18 to 74 years who responded to the 2006 long form Census. The Census data were linked to the Canadian Institute for Health Information (CIHI)’s Discharge Abstract Database (DAD) for fiscal years 2006–2007, 2007–2008, and 2008–2009. We conducted a logistic regression on the binary variable we created for an ACSC admission.

Measures

The CIHI definition of ACSC hospitalizations was used to identify potentially avoidable hospitalizations in the DAD. Immigration factors analyzed included years in Canada, ethnic origin, and ability to speak one of the official languages.

Results

There were 3,342,450 respondents aged between 18 and 74. Using the Canadian at birth as our reference population, recent immigrants (up to five years in Canada) had lower odds of an ACSC hospitalization, regardless of their ethnic origins, with the exception of immigrants from Oceania and from other North American countries for whom the effect was not significant. The protective effect was still present in children of immigrants (AOR=0.89). Immigrants from the Caribbean, from Southern, Eastern, and Western Europe, as well as those from East Asia had lower odds across categories of time spent in Canada. The protective effect was stronger in immigrants from East Asia and lower in those of Oceanic and other North American countries.

Conclusions

Our results suggest that the healthy immigrant effect dissipates with time in Canada but remains even in children of immigrants. The protective effect differs depending on the ethnic origin of the immigrant.

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Immigrants generally arrive in a country with a higher health status than that of the local population.

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Immigrants and children of immigrants have lower odds of having an ACSC hospitalization are lower than Canadians at birth.

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Odds of an ACSC hospitalization vary depending on immigration characteristics such as the ethnic origin and the time lived in Canada.

Expanding the breadth of Medicare: learning from Australia

The design of Australia’s Medicare programme was based on the Canadian scheme, adapted somewhat to take account of differences in the constitutional division of powers in the two countries and differences in history. The key elements are very similar: access to hospital services without charge being the core similarity, universal coverage for necessary medical services, albeit with a variable co-payment in Australia, the other. But there are significant differences between the two countries in health programmes – whether or not they are labelled as ‘Medicare’. This paper discusses four areas where Canada could potentially learn from Australia in a positive way. First, Australia has had a national Pharmaceutical Benefits Scheme for almost 70 years. Second, there have been hesitant extensions to Australia’s Medicare to address the increasing prevalence of people with chronic conditions – extensions which include some payments for allied health professionals, ‘care coordination’ payments, and exploration of ‘health care homes’. Third, Australia has a much more extensive system of support for older people to live in their homes or to move into supported residential care. Fourth, Australia has gone further in driving efficiency in the hospital sector than has Canada. Finally, the paper examines aspects of the Australian health care system that Canada should avoid, including the very high level of out-of-pocket costs, and the role of private acute inpatient provision.

Costs of health care across primary care models in Ontario

Background

The purpose of this study is to analyze the relationship between newly introduced primary care models in Ontario, Canada, and patients’ primary care and total health care costs. A specific focus is on the payment mechanisms for primary care physicians, i.e. fee-for-service (FFS), enhanced-FFS, and blended capitation, and whether providers practiced as part of a multidisciplinary team.

Methods

Utilization data for a one year period was measured using administrative databases for a 10% sample selected at random from the Ontario adult population. Primary care and total health care costs were calculated at the individual level and included costs from physician services, hospital visits and admissions, long term care, drugs, home care, lab tests, and visits to non-medical health care providers. Generalized linear model regressions were conducted to assess the differences in costs between primary care models.

Results

Patients not enrolled with a primary care physicians were younger, more likely to be males and of lower socio-economic status. Patients in blended capitation models were healthier and wealthier than FFS and enhanced-FFS patients. Primary care and total health care costs were significantly different across Ontario primary care models. Using the traditional FFS as the reference, we found that patients in the enhanced-FFS models had the lowest total health care costs, and also the lowest primary care costs. Patients in the blended capitation models had higher primary care costs but lower total health care costs. Patients that were in multidisciplinary teams (FHT), where physicians are also paid on a blended capitation basis, had higher total health care costs than non-FHT patients but still lower than the FFS reference group. Primary care and total health care costs increased with patients’ age, morbidity, and lower income quintile across all primary care payment types.

Conclusions

The new primary care models were associated with lower total health care costs for patients compared to the traditional FFS model, despite higher primary care costs in some models.