Access to Health Care and Hospitalization for Ambulatory Care Sensitive Conditions

Development of the China's list of ambulatory care sensitive conditions (ACSCs): a study protocol

BACKGROUND

The hospitalization rate of ambulatory care sensitive conditions (ACSCs) has been recognized as an essential indicator reflective of the overall performance of healthcare system. At present, ACSCs has been widely used in practice and research to evaluate health service quality and efficiency worldwide. The definition of ACSCs varies across countries due to different challenges posed on healthcare systems. However, China does not have its own list of ACSCs. The study aims to develop a list to meet health system monitoring, reporting and evaluation needs in China.

METHODS

To develop the list, we will combine the best methodological evidence available with real-world evidence, adopt a systematic and rigorous process and absorb multidisciplinary expertise. Specific steps include: (1) establishment of working groups; (2) generations of the initial list (review of already published lists, semi-structured interviews, calculations of hospitalization rate); (3) optimization of the list (evidence evaluation, Delphi consensus survey); and (4) approval of a final version of China's ACSCs list. Within each step of the process, we will calculate frequencies and proportions, use descriptive analysis to summarize and draw conclusions, discuss the results, draft a report, and refine the list.

DISCUSSION

Once completed, China's list of ACSCs can be used to comprehensively evaluate the current situation and performance of health services, identify flaws and deficiencies embedded in the healthcare system to provide evidence-based implications to inform decision-makings towards the optimization of China's healthcare system. The experiences might be broadly applicable and serve the purpose of being a prime example for nations with similar conditions.

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.

Housing-Sensitive Health Conditions Can Predict Poor-Quality Housing

Improving housing quality may improve residents' health, but identifying buildings in poor repair is challenging. We developed a method to improve health-related building inspection targeting. Linking New York City Medicaid claims data to Landlord Watchlist data, we used machine learning to identify housing-sensitive health conditions correlated with a building's presence on the Watchlist. We identified twenty-three specific housing-sensitive health conditions in five broad categories consistent with the existing literature on housing and health. We used these results to generate a housing health index from building-level claims data that can be used to rank buildings by the likelihood that their poor quality is affecting residents' health. We found that buildings in the highest decile of the housing health index (controlling for building size, community district, and subsidization status) scored worse across a variety of housing quality indicators, validating our approach. We discuss how the housing health index could be used by local governments to target building inspections with a focus on improving health.

Childhood adversities and rate of adulthood all-cause hospitalization in the general population: A retrospective cohort study

OBJECTIVE

The study examined the association between specific childhood adversities and rate of all-cause hospitalization in adulthood in a large sample of the general population and assessed whether adult socioeconomic and health-related factors mediate those associations.

METHODS

We used linked data available from Statistics Canada i.e., the Canadian Community Health Survey (CCHS-2005) linked to Discharge Abstract Database (DAD 2005-2017) and Canadian Vital Statistics Database (CVSD 2005-2017). CCHS-2005 measured self-reported exposure to childhood adversities, namely prolonged hospitalization, parental divorce, parental unemployment, prolonged trauma, parental substance use, physical abuse, and being sent away from home for wrongdoing, from a sample of household residents aged 18 years and above (n = 11,340). The number and causes of hospitalization were derived from linkage with DAD. Negative binomial regression was used to characterize the association between childhood adversities and the rate of hospitalization and to identify potential mediators between them.

RESULTS

During the 12-year follow-up, 37,080 hospitalizations occurred among the respondents, and there were 2,030 deaths. Exposure to at least one childhood adversity and specific adversities (except parental divorce) were significantly associated with the hospitalization rate among people below 65 years. The associations (except for physical abuse) were attenuated when adjusted for one or more of the adulthood factors such as depression, restriction of activity, smoking, chronic conditions, poor perceived health, obesity, unmet health care needs, poor education, and unemployment, observations that are consistent with mediation effects. The associations were not significant among those aged 65 and above.

CONCLUSION

Childhood adversities significantly increased the rate of hospitalization in young and middle adulthood, and the effect was potentially mediated by adulthood socioeconomic status and health and health care access related factors. Health care overutilization may be reduced through primary prevention of childhood adversities and intervention on those potentially mediating pathways such as improving adulthood socioeconomic circumstances and lifestyle modifications.

Assessing needs-based supply of physicians: a criteria-led methodological review of international studies in high-resource settings

BACKGROUND

Many health systems embrace the normative principle that the supply of health services ought to be based on the need for healthcare. However, a theoretically grounded framework to operationalize needs-based supply of healthcare remains elusive. The aim of this paper is to critically assess current methodologies that quantify needs-based supply of physicians and identify potential gaps in approaches for physician planning. To this end, we propose a set of criteria for consideration when estimating needs-based supply.

METHODS

We conducted searches in three electronic bibliographic databases until March 2020 supplemented by targeted manual searches on national and international websites to identify studies in high-resource settings that quantify needs-based supply of physicians. Studies that exclusively focused on forecasting methods of physician supply, on inpatient care or on healthcare professionals other than physicians were excluded. Additionally, records that were not available in English or German were excluded to avoid translation errors. The results were synthesized using a framework of study characteristics in addition to the proposed criteria for estimating needs-based physician supply.

RESULTS

18 quantitative studies estimating population need for physicians were assessed against our criteria. No study met all criteria. Only six studies sought to examine the conceptual dependency between need, utilization and supply. Apart from extrapolations, simulation models were applied most frequently to estimate needs-based supply. 12 studies referred to the translation of need for services with respect to a physician's productivity, while the rest adapted existing population-provider-ratios. Prospective models for estimating future care needs were largely based on demographic predictions rather than estimated trends in morbidity and new forms of care delivery.

CONCLUSIONS

The methodological review shows distinct heterogeneity in the conceptual frameworks, validity of data basis and modeling approaches of current studies in high-resource settings on needs-based supply of physicians. To support future estimates of needs-based supply, this review provides a workable framework for policymakers in charge of health workforce capacity planning.

Characteristics of High-Resource Health System Users in Rural and Remote Regions: A Scoping Review

A small proportion of health care users are recognized to use a significantly higher proportion of health system resources, largely due to systemic, inequitable access and disproportionate health burdens. These high-resource health system users are routinely characterized as older, with multiple comorbidities, and reduced access to adequate health care. Geographic trends also emerge, with more rural and isolated regions demonstrating higher rates of high-resource use than others. Despite known geographical discrepancies in health care access and outcomes, health policy and research initiatives remain focused on urban population centers. To alleviate mounting health system pressure from high-resource users, their characteristics must be better understood within the context in which i arises. To examine this, a scoping review was conducted to provide an overview of characteristics of high-resource users in rural and remote communities in Canada and Australia. In total, 21 papers were included in the review. Using qualitative thematic coding, primary findings characterized rural high-resource users as those of an older age; with increased comorbid conditions and condition severity; lower socioeconomic status; and elevated risk behaviors.

Health services for aboriginal and Torres Strait Islander children in remote Australia: A scoping review

In Australia, there is a significant gap between health outcomes in Indigenous and non-Indigenous children, which may relate to inequity in health service provision, particularly in remote areas. The aim was to conduct a scoping review to identify publications in the academic and grey literature and describe 1) Existing health services for Indigenous children in remote Australia and service use, 2) Workforce challenges in remote settings, 3) Characteristics of an effective health service, and 4) Models of care and solutions. Electronic databases of medical/health literature were searched (Jan 1990 to May 2021). Grey literature was identified through investigation of websites, including of local, state and national health departments. Identified papers (n = 1775) were screened and duplicates removed. Information was extracted and summarised from 116 papers that met review inclusion criteria (70 from electronic medical databases and 45 from the grey literature). This review identified that existing services struggle to meet demand. Barriers to effective child health service delivery in remote Australia include availability of trained staff, limited services, and difficult access. Aboriginal and Community Controlled Health Organisations are effective and should receive increased support including increased training and remuneration for Aboriginal Health Workers. Continuous quality assessment of existing and future programs will improve quality; as will measures that reflect aboriginal ways of knowing and being, that go beyond traditional Key Performance Indicators. Best practice models for service delivery have community leadership and collaboration. Increased resources with a focus on primary prevention and health promotion are essential.

Association of Medicare Advantage Star Ratings With Racial and Ethnic Disparities in Hospitalizations for Ambulatory Care Sensitive Conditions

BACKGROUND

Enrollment in high-quality Medicare Advantage (MA) plans, measured by a 5-star quality rating system, was lower among racial and ethnic minority enrollees than White enrollees partly due to fewer high-quality plans available in their counties of residence. This may contribute to racial and ethnic disparities in ambulatory care sensitive condition (ACSC) hospitalizations.

OBJECTIVE

We examined whether there were racial and ethnic disparities in ACSC hospitalizations among MA enrollees overall and by star rating.

METHODS

Using the Medicare enrollment and claims data for 2016, we identified White, Black, Hispanic, and Asian/Pacific Islander enrollees in MA plans. We estimated racial and ethnic disparities in ACSC hospitalizations (per 10,000 enrollees) overall and by star rating.

RESULTS

We found that the adjusted rates of ACSC hospitalizations were significantly higher among Black enrollees than White enrollees overall [39.4 (95% confidence interval: 36.3-42.5)]. However, no significant disparities were found among Hispanic and Asian/Pacific Islander enrollees. The adjusted rates of ACSC hospitalizations were higher in lower-rated plans than higher-rated plans in all racial and ethnic groups. The significant disparities in ACSC hospitalizations by star rating were the most pronounced between White and Black enrollees. We found suggestive evidence that enrollment in lower-rated plans was associated with higher disparities in ACSC hospitalizations between White and Black enrollees.

CONCLUSIONS

Substantial disparities in ACSC hospitalizations exist between White and Black enrollees in MA plans, especially for lower-rated plans. Policies aimed at reducing racial disparities in ACSC hospitalizations could include improving access to high-rated plans.

The impact of ambulatory care spending, continuity and processes of care on ambulatory care sensitive hospitalizations

Ambulatory care sensitive hospitalizations are widely considered as important measures of access to as well as quality and performance of primary care. In our study, we investigate the impact of spending, process quality and continuity of care in the ambulatory care sector on ambulatory care sensitive hospitalizations in patients with type 2 diabetes. We used observational data from Germany's major association of insurance companies from 2012 to 2014 with 55,924 patients, as well as data from additional sources. We conducted negative binomial regression analyses with random effects at the district level. To control for potential endogeneity of spending and physician density in the ambulatory care sector, we used an instrumental variable approach. We controlled for a wide range of covariates, such as age, sex, and comorbidities. The results of our analysis suggest that spending in the ambulatory care sector has weak negative effects on ambulatory care sensitive hospitalizations. We also found that continuity of care was negatively associated with hospital admissions. Patients with type 2 diabetes are at increased risk of hospitalization resulting from ambulatory care sensitive conditions. Our study provides some evidence that increased spending and improved continuity of care while controlling for process quality in the ambulatory care sector may be effective ways to reduce the rate of potentially avoidable hospitalizations among patients with type 2 diabetes.

Development of indicators to assess quality and patient pathways in interdisciplinary care for patients with 14 ambulatory-care-sensitive conditions in Germany

BACKGROUND

In settings like the ambulatory care sector in Germany, where data on the outcomes of interdisciplinary health services provided by multiple office-based physicians are not always readily available, our study aims to develop a set of indicators of health care quality and utilization for 14 groups of ambulatory-care-sensitive conditions based on routine data. These may improve the provision of health care by informing discussions in quality circles and other meetings of networks of physicians who share the same patients.

METHODS

Our set of indicators was developed as part of the larger Accountable Care in Deutschland (ACD) project using a pragmatic consensus approach. The six stages of the approach drew upon a review of the literature; the expertise of physicians, health services researchers, and representatives of physician associations and statutory health insurers; and the results of a pilot study with six informal network meetings of office-based physicians who share the same patients.

RESULTS

The process resulted in a set of 248 general and disease specific indicators for 14 disease groups. The set provides information on the quality of care provided and on patient pathways, covering patient characteristics, physician visits, ambulatory care processes, pharmaceutical prescriptions and outcome indicators. The disease groups with the most indicators were ischemic heart diseases, diabetes and heart failure.

CONCLUSION

Our set of indicators provides useful information on patients' health care use, health care processes and health outcomes for 14 commonly treated groups of ambulatory-care-sensitive conditions. This information can inform discussions in interdisciplinary quality circles in the ambulatory sector and foster patient-centered care.

Racial Disparities in Avoidable Hospitalizations in Traditional Medicare and Medicare Advantage

IMPORTANCE

Compared with traditional Medicare (TM), Medicare Advantage (MA) has the potential to reduce racial disparities in hospitalizations for ambulatory care sensitive conditions (ACSC). As racial disparities may be partly attributable to unequal treatment based on where people live, this suggests the need of examining geographic variations in racial disparities.

OBJECTIVE

The aim of this study was to examine differences in ACSC hospitalizations between White and Black beneficiaries in TM and MA and examine geographic variations in racial differences in ACSC hospitalizations in TM and MA.

METHODS

We analyzed the 2015-2016 Medicare Provider Analysis and Review files. We used propensity score matching to account for differences in characteristics between TM and MA beneficiaries. Then, we conducted linear regression and estimated adjusted outcomes for TM and MA beneficiaries by race. Also, we estimated racial differences in adjusted outcomes by insurance and hospital referral region (HRR).

RESULTS

While White beneficiaries in TM and MA had similar rates of ACSC hospitalizations (163.7 vs. 162.2/10,000 beneficiaries), Black beneficiaries in MA had higher rates of ACSC hospitalizations than Black beneficiaries in TM (221.2 vs. 209.3/10,000 beneficiaries). However, the racial differences were greater in MA than TM (59.0 vs. 45.6/10,000 beneficiaries). Racial differences in ACSC hospitalizations in MA were prevalent across almost all HRRs. 95.5% of HRRs had higher rates of ACSC hospitalizations among Black beneficiaries than White beneficiaries in MA relative to just 54.2% of HRRs in TM.

CONCLUSION

Our findings provide evidence of racial disparities in access to high-quality primary care, especially in MA.

Can family doctor contracted services facilitate orderly visits in the referral system? A frontier policy study from Shanghai, China

Background

China committed to establishing a family doctor (FD)‐based referral system following the medical reform in 2009. This paper explored the effect of FD on establishing the anticipated system.

Methods

Two waves of survey were conducted in Shanghai, China. 2754 and 1995 individuals were sampled in 2013 and 2016 respectively. We compared orderly visiting behaviour between contracted and non‐contracted residents. Logistic regression models were performed to further test the effect of FD on orderly visits.

Results

More contracted residents first‐contacted community health service centres (CHSCs; 45.48%) than non‐contracted residents (28.93%). Contracted residents were also more likely to refer to specialists via CHSCs than the non‐contracted (9.84% vs. 2.60%). The odds ratio (OR) for first‐contact at CHSCs by contract status was 1.569 in 2013, but increased to 1.675 in 2016. Being contracted with a FD was associated with referral behaviour, but the OR declined from 2.692 to 2.487 over years.

Conclusion

The survey from Shanghai showed that FD had a significant effect on attracting first‐contact at CHSCs and referral via CHSCs; however, the effect on the latter decreased. The effectiveness of the FD role on referral behaviour requires a well‐established referral system, which has not yet been completely achieved in China.

Exploration of Preventable Hospitalizations for Colorectal Cancer with the National Cancer Control Program in Taiwan

Background: Causing more than 40,000 deaths each year, cancer is one of the leading causes of mortality and preventable hospitalizations (PH) in Taiwan. To reduce the incidence and severity of cancer, the National Cancer Control Program (NCCP) includes screening for various types of cancer. A cohort study was conducted to explore the long-term trends in PH/person-years following NCCP intervention from 1997 to 2013. Methods: Trend analysis was carried out for long-term hospitalization. The Poisson regression model was used to compare PH/person-years before (1997–2004) and after intervention (2005–2013), and to explore the impact of policy intervention. Results: The policy response reduced 26% for the risk of hospitalization; in terms of comorbidity, each additional point increased the risk of hospitalization by 2.15 times. The risk of hospitalization doubled for each 10-year increase but was not statistically significant. Trend analysis validates changes in the number of hospitalizations/person-years in 2005. Conclusions: PH is adopted as an indicator for monitoring primary care quality, providing governments with a useful reference for which to gauge the adequacy, accessibility, and quality of health care. Differences in PH rates between rural and urban areas can also be used as a reference for achieving equitable distribution of medical resources.

A Longitudinal Analysis of Functional Disability, Recovery, and Nursing Home Utilization After Hospitalization for Ambulatory Care Sensitive Conditions Among Community-Living Older Persons

BACKGROUND/OBJECTIVE

Hospitalizations for ambulatory care sensitive conditions (ACSCs) are considered potentially preventable. With little known about the functional outcomes of older persons after ACSC-related hospitalizations, our objectives were to describe: (1) the 6-month course of postdischarge functional disability, (2) the cumulative monthly probability of functional recovery, and (3) the cumulative monthly probability of incident nursing home (NH) admission.

METHODS

The analytic sample included 251 ACSC-related hospitalizations from a cohort of 754 nondisabled, community-living persons aged 70 years and older who were interviewed monthly for up to 19 years. Patient-reported disability scores in basic, instrumental, and mobility activities ranged from 0 to 13. Functional recovery was defined as returning within 6 months of discharge to a total disability score less than or equal to that immediately preceding hospitalization.

RESULTS

The mean age was 85.1 years, and the mean disability score was 5.4 in the month prior to the ACSC-related hospitalization. After the ACSC-related hospitalization, total disability scores peaked at month 1 and improved modestly over the next 5 months, but remained greater than the pre-hospitalization score. Functional recovery was achieved by 70% of patients, and incident NH admission was experienced by 50% within 6 months after the 251 ACSC-related hospitalizations.

CONCLUSIONS

During the 6 months after an ACSC-related hospitalization, older persons exhibited total disability scores that were higher than those immediately preceding hospitalization, with 3 of 10 not achieving functional recovery and half experiencing incident NH admission. These findings provide evidence that older persons experience clinically meaningful adverse patient-reported outcomes after ACSC-related hospitalizations.

Ambulatory Care Sensitive Conditions Among All-Payer Claimants With Intellectual and Developmental Disabilities

Inpatient hospitalizations for ambulatory care sensitive conditions (ACSC) among beneficiaries with and without intellectual and developmental disabilities (IDD) were examined using Medicaid and commercial claims from 2010-2014 in New Hampshire. IDD was defined with International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) codes using algorithms from the Centers for Medicare and Medicaid Services, and inpatient encounters were identified using the Healthcare Effectiveness Data and Information Set. In adjusted analyses, beneficiaries with IDD had more hospitalizations for ACSC than those without IDD in both insurance groups. Differences in patterns of ACSC prevalence, comorbidities, and hospital admissions between the commercially and Medicaid-insured groups show the value of using all-payer claims data, when possible, to understand health needs and health care utilization of insurance beneficiaries with IDD.

The relationship between rates of hospitalization for ambulatory care sensitive conditions and local access to primary healthcare in Manitoba First Nations communities : Results from the Innovation in Community-based Primary Healthcare Supporting Transformation in the Health of First Nations in Manitoba (iPHIT) study

OBJECTIVES

The objective of this study was to assess the performance of models of primary healthcare (PHC) delivered in First Nation and adjacent communities in Manitoba, using hospitalization rates for ambulatory care sensitive conditions (ACSC) as the primary outcome.

METHODS

We used generalized estimating equation logistic regression on administrative claims data for 63 First Nations communities from Manitoba (1986-2016) comprising 140,111 people, housed at the Manitoba Centre for Health Policy. We controlled for age, sex, and socio-economic status to describe the relationship between hospitalization rates for ACSC and models of PHC in First Nation communities.

RESULTS

Hospitalization rates for acute, chronic, vaccine-preventable, and mental health-related ACSCs have decreased over time in First Nation communities, yet remain significantly higher in First Nations and remote non-First Nations communities as compared with other Manitobans. When comparing different models of care, hospitalization rates were historically higher in communities served by health centres/offices, whether or not supplemented by itinerant medical services. These rates have significantly declined over the past two decades.

CONCLUSION

Local access to a broader complement of PHC services is associated with lower rates of avoidable hospitalization in First Nation communities. The lack of these services in many First Nation communities demonstrates the failure of the current Canadian healthcare system to meet the need of First Nation peoples. Improving access to PHC in all 63 First Nation communities can be expected to result in a reduction in ACSC hospitalization rates and reduce healthcare cost.

Details of developing and implementing an intensive interdisciplinary care program for high need, high cost patients

1. Developing and implementing an intensive interdisciplinary medical home within a large academic medical center was feasible. 2. Deploying a complex care management program that shared staff and resources with an intensive primary care program was not successful. 3. Barriers included traversing legal barriers to text messaging patients, making hospital consults feasible financially, managing challenging patients, team wellness, provider back up, managing homebound patients, and discharging patients. 4. Although expensive, this model may have hidden benefits including improved patient satisfaction, quality of care, and providing a solid care system for a health system's most challenging and vulnerable population.

Potentially Preventable Hospitalizations Among Older Adults: 2010-2014

PURPOSE

We undertook a study to examine national trends in potentially preventable hospitalizations-those for ambulatory care-sensitive conditions that could have been avoided if patients had timely access to primary care-across 3,200 counties and various subpopulations of older adults in the United States.

METHODS

We used 2010-2014 Medicare claims data to examine trends in potentially preventable hospitalizations among beneficiaries aged 65 years and older and developed heat maps to examine county-level variation. We used a generalized estimating equation and adjusted the model for demographics, comorbidities, dual eligibility (Medicare and Medicaid), ZIP code-level income, and county-level number of primary care physicians and hospitals.

RESULTS

Across the 3,200 study counties, potentially preventable hospitalizations decreased in 327 counties, increased in 123 counties, and did not change in the rest. At the population level, the adjusted rate of potentially preventable hospitalizations declined by 3.45 percentage points from 19.42% (95% CI, 18.4%-20.5%) in 2010 to 15.97% (95% CI, 15.3%-16.6%) in 2014; it declined by 2.93, 2.87, and 3.33 percentage points among White, Black, and Hispanic patients to 14.96% (95% CI, 14.67%-15.24%), 17.92% (95% CI, 17.27%-18.58%), and 17.10% (95% CI, 16.25%-18.0%), respectively. Similarly, the rate for dually eligible patients fell by 3.71 percentage points from 21.62% (95% CI, 20.5%-22.8%) in 2010 to 17.91% (95% CI, 17.2%-18.7%) in 2014. (P <.001 for all).

CONCLUSIONS

During 2010-2014, rates of potentially preventable hospitalization did not change in the majority of counties. At the population level, although the rate declined among all subpopulations, dually eligible patients and Black and Hispanic patients continued to have substantially higher rates compared with non-dually eligible and White patients, respectively.

Development and evaluation of a novel caregiver-report tool to assess barriers to physical healthcare for people on the autism spectrum

INTRODUCTION

People on the autism spectrum often experience poorer health than the general population despite higher engagement with the health services. This suggests a disparity in the accessibility of appropriate healthcare for autistic individuals. To improve access, barriers the autism community experience in healthcare first need to be identified. This paper aimed to: 1) develop and evaluate a caregiver-report tool; 2) identify barriers to physical healthcare for autistic individuals; and 3) identify potential contributing factors.

METHODS

A previously established taxonomy of barriers to healthcare for autistic individuals informed the development of the tool; this was then distributed to caregivers of autistic adults and children. Exploratory factor analysis (EFA) assessed validity and reliability of the tool. Multiple Regressions were performed to identify predictors of barriers.

RESULTS

In total, caregivers of 194 autistic children or adults participated in the study. The EFA produced four factors: 1) patient-level barriers; 2) healthcare provider-level (HCP) barriers; 3) healthcare system-level barriers; and 4) barriers related to managing healthcare. The greatest barriers included difficulties with identifying/reporting symptoms (endorsed by 62.4% of participants); difficulties handling the waiting area (60.3% of participants); and a lack of HCP knowledge regarding autism (52.1% of participants). Autism severity, general adjustment problems, anxiety, age and having unmet needs predicted the frequency and/or severity of barriers.

CONCLUSIONS

A tool that allows assessment of patient-, HCP-, and system-level barriers to healthcare was developed and evaluated. Patient-level barriers appear to occur frequently and pose substantial challenges. This tool will help identify areas most in need of intervention and support intervention evaluation.

Avoiding unnecessary hospitalisation for patients with chronic conditions: a systematic review of implementation determinants for hospital avoidance programmes

Background

Studies of clinical effectiveness have demonstrated the many benefits of programmes that avoid unnecessary hospitalisations. Therefore, it is imperative to examine the factors influencing implementation of these programmes to ensure these benefits are realised across different healthcare contexts and settings. Numerous factors may act as determinants of implementation success or failure (facilitators and barriers), by either obstructing or enabling changes in healthcare delivery. Understanding the relationships between these determinants is needed to design and tailor strategies that integrate effective programmes into routine practice. Our aims were to describe the implementation determinants for hospital avoidance programmes for people with chronic conditions and the relationships between these determinants.

Methods

An electronic search of four databases was conducted from inception to October 2019, supplemented by snowballing for additional articles. Data were extracted using a structured data extraction tool and risk of bias assessed using the Hawker Tool. Thematic synthesis was undertaken to identify determinants of implementation success or failure for hospital avoidance programmes for people with chronic conditions, which were categorised according to the Consolidated Framework for Implementation Research (CFIR). The relationships between these determinants were also mapped.

Results

The initial search returned 3537 articles after duplicates were removed. After title and abstract screening, 123 articles underwent full-text review. Thirteen articles (14 studies) met the inclusion criteria. Thematic synthesis yielded 23 determinants of implementation across the five CFIR domains. ‘Availability of resources’, ‘compatibility and fit’, and ‘engagement of interprofessional team’ emerged as the most prominent determinants across the included studies. The most interconnected implementation determinants were the ‘compatibility and fit’ of interventions and ‘leadership influence’ factors.

Conclusions

Evidence is emerging for how chronic condition hospital avoidance programmes can be successfully implemented and scaled across different settings and contexts. This review provides a summary of key implementation determinants and their relationships. We propose a hypothesised causal loop diagram to represent the relationship between determinants within a complex adaptive system.

Trial registration

PROSPERO 162812 

Examining Racial Differences in Access to Primary Care for People Living with Lupus: Use of Ambulatory Care Sensitive Conditions to Measure Access

Background

People living with lupus may experience poor access to primary care and delayed specialty care.

Purpose

To identify characteristics that lead to increased odds of poor access to primary care for minorities hospitalized with lupus.

Methods

Cross-sectional design with 2011-2012 hospitalization data from South Carolina, North Carolina, and Florida. We used ICD-9 codes to identify lupus hospitalizations. Ambulatory care sensitive conditions were used to identify preventable lupus hospitalizations and measure access to primary care. Logistic regression was used to estimate the odds ratio for the association between predictors and having poor access to primary care. Sensitivity analysis excluded patients aged >65 years.

Results

There were 23,154 total lupus hospitalizations, and 2,094 (9.04%) were preventable. An adjusted model showed minorities aged ≥65 years (OR 2.501, CI 1.501, 4.169), minorities aged 40-64 years (OR 2.248, CI: 1.394, 3.627), minorities with Medicare insurance (OR 1.669, CI:1.353,2.059) and minorities with Medicaid (OR 1.662,CI:1.321, 2.092) had the highest odds for a preventable lupus hospitalization. Minorities with Medicare had significantly higher odds for ≥3 hospital days (OR 1.275, CI: 1.149, 1.415). Whites with Medicare (OR 1.291, CI: 1.164, 1.432) had the highest odds for ≥3 days.

Conclusions

Our data show that middle-aged minorities living with lupus and on public health insurance have a higher likelihood of poor access to primary care. Health care workers and policymakers should develop plans to identify patients, explore issues affecting access, and place patients with a community health worker or social worker to promote better access to primary care.

Cumulative social disadvantage and hospitalisations due to ambulatory care-sensitive conditions in Finland in 2011─2013: a register study

OBJECTIVES

To study the interplay between several indicators of social disadvantage and hospitalisations due to ambulatory care-sensitive conditions (ACSC) in 2011─2013. To evaluate whether the accumulation of preceding social disadvantage in one point of time or prolongation of social disadvantage had an effect on hospitalisations due to ACSCs. Four common indicators of disadvantage are examined: living alone, low level of education, poverty and unemployment.

DESIGN

A population-based register study.

SETTING

Nationwide individual-level register data on hospitalisations due to ACSCs for the years 2011-2013 and preceding data on social and socioeconomic factors for the years 2006─2010.

PARTICIPANTS

Finnish residents aged 45 or older on 1 January 2011.

OUTCOME MEASURE

Hospitalisations due to ACSCs in 2011-2013. The effect of accumulation of preceding disadvantage in one point of time and its prolongation on ACSCs was studied using modified Poisson regression.

RESULTS

People with preceding cumulative social disadvantage were more likely to be hospitalised due to ACSCs. The most hazardous combination was simultaneously living alone, low level of education and poverty among the middle-aged individuals (aged 45-64 years) and the elderly (over 64 years). Risk ratio (RR) of being hospitalised due to ACSC was 3.16 (95% CI 3.03-3.29) among middle-aged men and 3.54 (3.36-3.73) among middle-aged women compared with individuals without any of these risk factors when controlling for age and residential area. For the elderly, the RR was 1.61 (1.57-1.66) among men and 1.69 (1.64-1.74) among women.

CONCLUSIONS

To improve social equity in healthcare, it is important to recognise not only patients with cumulative disadvantage but also-as this study shows-patients with particular combinations of disadvantage who may be more susceptible. The identification of these vulnerable patient groups is also necessary to reduce the use of more expensive treatment in specialised healthcare.

Geographic variation in preventable hospitalisations across Canada: a cross-sectional study

OBJECTIVE

The objective of this study is to examine the magnitude and pattern of small-area geographic variation in rates of preventable hospitalisations for ambulatory care-sensitive conditions (ACSC) across Canada (excluding Québec).

DESIGN AND SETTING

A cross-sectional study conducted in Canada (excluding Québec) using data from the 2006 Canadian Census Health and Environment Cohort (CanCHEC) linked prospectively to hospitalisation records from the Discharge Abstract Database (DAD) for the three fiscal years: 2006-2007, 2007-2008 and 2008-2009.

PRIMARY OUTCOME MEASURE

Preventable hospitalisations (ACSC).

PARTICIPANTS

The 2006 CanCHEC represents a population of 22 562 120 individuals in Canada (excluding Québec). Of this number, 2 940 150 (13.03%) individuals were estimated to be hospitalised at least once during the 2006-2009 fiscal years.

METHODS

Age-standardised annualised ACSC hospitalisation rates per 100 000 population were computed for each of the 190 Census Divisions. To assess the magnitude of Census Division-level geographic variation in rates of preventable hospitalisations, the global Moran's I statistic was computed. 'Hot spot' analysis was used to identify the pattern of geographic variation.

RESULTS

Of all the hospitalisation events reported in Canada during the 2006-2009 fiscal years, 337 995 (7.10%) events were ACSC-related hospitalisations. The Moran's I statistic (Moran's I=0.355) suggests non-randomness in the spatial distribution of preventable hospitalisations. The findings from the 'hot spot' analysis indicate a cluster of Census Divisions located in predominantly rural and remote parts of Ontario, Manitoba and Saskatchewan and in eastern and northern parts of Nunavut with significantly higher than average rates of preventable hospitalisation.

CONCLUSION

The knowledge generated on the small-area geographic variation in preventable hospitalisations can inform regional, provincial and national decision makers on planning, allocation of resources and monitoring performance of health service providers.

Additional reimbursement for outpatient physicians treating nursing home residents reduces avoidable hospital admissions: Results of a reimbursement change in Germany

Potentially avoidable hospitalizations of nursing home residents are costly and may even be harmful for the residents concerned. This study analyzes whether the introduction, in Germany in 2016, of an additional reimbursement for outpatient care physicians treating nursing home residents has led to a reduction in hospital admissions. This analysis exploits the introduction of the additional reimbursement in a difference-in-difference approach, using recipients of professional home care as a control. The analysis is based on claims data from the largest German sickness fund, which provide complete information on health care and long-term care utilization for each insured person. Our analysis highlights a 5-percent reduction in overall hospital stays and an 8-percent reduction in ambulatory care-sensitive admissions as a result of the additional reimbursements. However, we found no effect for short-term hospital admissions or for admissions at night or at the weekend. We conclude that the overall health care utilization for nursing home patients seems to have improved due to an increased presence of physicians in nursing homes during daytime working hours. Thus, an additional reimbursement for outpatient care physicians seems to be an effective tool to reduce potentially avoidable hospital admissions in the nursing home sector. However, it does not appear to improve emergency care utilization, especially out-of-hour.

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.

Effects of introducing a walk-in clinic on ambulatory care sensitive hospitalisations among asylum seekers in Germany: a single-centre pre-post intervention study using medical records

OBJECTIVE

Measuring the effect of introducing a walk-in clinic on ambulatory care sensitive (ACS) hospitalisations among asylum seekers in a large state reception- and registration centre.

DESIGN AND SETTING

Pre-post intervention study using anonymous account data from a university hospital functioning as referral facility for a state reception- and registration centre in the third largest German federal state.

PARTICIPANTS

We included all asylum seekers residing in the reception centre and admitted to the referral hospital between 2015 to 2017.

INTERVENTIONS

Establishment of an interdisciplinary walk-in clinic in the reception centre (02/2016).

MAIN OUTCOME MEASURES

International lists for ACS conditions for both adults and children were adapted and used to calculate the prevalence of ACS conditions among the population (primary outcome measure). The impact of the intervention on the outcome was analysed using a segmented Poisson regression to calculate incidence-rate ratios with respective 95% CIs, adjusted for age, sex and admission.

RESULTS

The prevalence of ACS hospitalisations changed over time, as did the effect of age, sex and quarter of admission. Introducing the walk-in clinic reduced the prevalence of ACS hospitalisations among asylum seekers compared with the period before establishment of the clinic (incidence-rate ratios (IRR)=0.80 (0.65 to 1.00), p=0.054), but the effect was attenuated after adjustment for time trends. The average difference in prevalence of ACS hospitalisations compared with the period before establishment of the clinic, corrected for pre-existing time trends, age and sex of asylum seekers was IRR=1.03 ((0.69 to 1.55), p=0.876).

CONCLUSIONS

A walk-in clinic in reception centres may be effective to reduce ACS hospitalisations, but our study could not prove evidence for a measurable effect after full adjustment for time trends. Further research, ideally with parallel control groups, is required to establish evidence for the effectiveness of walk-in clinics in reception centres on reducing ACS hospitalisations.

Ambulatory care-sensitive emergency department cases: a mixed methods approach to systemize and analyze cases in Germany

BACKGROUND

Internationally, emergency departments (ED) are treating increasing numbers of patients with conditions that could have been managed appropriately in ambulatory care (AC) settings. The aim of our study was to develop the first consensus-based list of AC-sensitive conditions commonly seen in German EDs and explore predictors of these visits.

METHODS

Our study used a Delphi survey of 30 physicians to compile a list of conditions they agreed were amenable to AC treatment. The group identified reasons why patients visit EDs instead of AC. We used the results to inform spatial regression models analysing the association of patient characteristics and attributes of AC with AC-sensitive ED visits based on 2015 district-level data.

RESULTS

Our study provides a list of AC-sensitive conditions based on the German ED context. Results suggest that, up to the age of 70 years, the older the patients, the less likely they seek EDs for these conditions. Results of our regression analyses suggest that AC-sensitive ED rates were significantly higher in districts with lower physician density. Patients' urgency perception and preferences were identified as main drivers of AC-sensitive ED visits.

CONCLUSION

Future policy measures should aim to help guide patients through the healthcare system so that they receive the best care in place that is most appropriate in terms of quality, safety and continuity of care. A list of AC-sensitive ED conditions can be used as a monitoring instrument and for further analyses of routine data to inform policy makers seeking to improve resource use and allocation.

Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states

OBJECTIVE

To evaluate the association between community well-being, a positively framed, multidimensional assessment of the health and quality of life of a geographic community, and hospitalisation rates.

DESIGN

Cross-sectional study SETTING: Zip codes within six US states (Florida, Iowa, Nebraska, New York, Pennsylvania and Utah) MAIN OUTCOME MEASURES: Our primary outcome was age-adjusted, all-cause hospitalisation rates in 2010; secondary outcomes included potentially preventable disease-specific hospitalisation rates, including cardiovascular-related, respiratory-related and cancer-related admissions. Our main independent variable was the Gallup-Sharecare Well-Being Index (WBI) and its domains (life evaluation, emotional health, work environment, physical health, healthy behaviours and basic access).

RESULTS

Zip codes with the highest quintile of well-being had 223 fewer hospitalisations per 100 000 (100k) residents than zip codes with the lowest well-being. In our final model, adjusted for WBI respondent age, sex, race/ethnicity and income, and zip code number of hospital beds, primary care physician density, hospital density and admission rates for two low-variation conditions, a 1 SD increase in WBI was associated with 5 fewer admissions/100k (95% CI 4.0 to 5.8; p<0.001). Results were similar for cardiovascular-related and respiratory-related admissions, but no association remained for cancer-related hospitalisation after adjustment. Patterns were similar for each of the WBI domains and all-cause hospitalisations.

CONCLUSION AND RELEVANCE

Community well-being is inversely associated with local hospitalisation rates. In addition to health and quality-of-life benefits, higher community well-being may also result in fewer unnecessary hospitalisations.

Addressing inequalities in medical workforce distribution: evidence from a quasi-experimental study in Brazil

BACKGROUND

Brazil faces huge health inequality challenges since not all municipalities have access to primary care physicians. The More Doctors Programme (MDP), which started in 2013, was born out of this recognition, providing more than 18 000 doctors in the first few years. However, the programme faced a restructuring at the end of 2018.

METHODS

We construct a panel municipality-level data between 2008 and 2017 for 5570 municipalities in Brazil. We employ a difference-in-differences empirical approach, combined with propensity score matching, to study the impacts of the programme on hospitalisations for ambulatory care sensitive conditions and its costs. We explore heterogeneous impacts by age of the patients, type of admissions, and municipalities that were given priority.

FINDINGS

The MDP reduced ambulatory admissions by 2.9 per cent (p value <0.10) and the costs by 3.7 per cent (p value <0.01) over the mean. The reduction was driven by infectious gastroenteritis, bacterial pneumonias, asthma, kidney and urinary infections, and pelvic inflammatory disease. The results held on the subsample of municipalities targeted by the programme. By comparing the benefits of the programme from the reduction in the costs of ambulatory admissions to the total financial costs of the MDP, the impacts allowed the government to save at least BRL 27.88 (US$ 6.9 million) between 2014 and 2017.

CONCLUSION

Addressing inequalities in the distribution of the medical workforce remains a global challenge. Our results inform the discussion on the current strategy adopted in Brazil to increase access to primary healthcare in underserved areas.

Predictors of hospitalizations for diabetes in Germany: an ecological study on a small-area scale

OBJECTIVES

Our objective was to evaluate the role of potential predictors in explaining spatial variation among diabetes hospitalization rates in Germany.

STUDY DESIGN

This was an ecological analysis using hospital routine data.

METHODS

County-level hospitalization rates (n = 402) in 2015 were calculated based on the German Diagnosis Related Groups database. We used a funnel plot to identify counties with high hospitalization rates. To examine the impact of predictors such as socio-economic status or structure of primary care, we performed linear and logistic regression analyses.

RESULTS

The crude hospitalization rate was 262 admissions per 100,000 population. In multivariable logistic models, we found the percentage of employees with academic degree (odds ratio [OR]: 0.72, 95% confidence interval [CI]: 0.56-0.91), high hospital bed rate (4th quartile vs 1st quartile; OR: 2.73, CI: 1.03-7.24), and diabetes prevalence (OR: 1.49, CI: 1.17-1.90) to be significant predictors for high hospitalization rates. In multivariable linear models, the percentage of unemployed (regression coefficient b: 4.79, CI: 0.81-8.78) and rurality (b: 0.52, CI: 0.19-0.85) explained the variation in addition to predictors from logistic regression. Primary care structure was not a significant predictor in multivariable models.

CONCLUSIONS

The non-significant impact of primary care in adjusted models casts the use of diabetes hospitalizations as indicators for access and quality of primary care into doubt. Diabetes hospitalizations may rather reflect demand for care.

Patient-Reported Access in the Patient-Centered Medical Home and Avoidable Hospitalizations: an Observational Analysis of the Veterans Health Administration

BACKGROUND

The Patient-Centered Medical Home (PCMH) has emphasized timely access to primary care, often by using non-traditional modes of delivery, such as care in person after-hours or by phone during or after normal hours. Limited data exists on whether improving patient-reported access with these service types reduces hospitalization.

OBJECTIVE

To examine the association of patient-reported access to primary care within the Veteran Health Administration (VHA) via five service types and hospitalizations for ambulatory care sensitive conditions (ACSCs).

DESIGN

Retrospective cohort study, using multivariable logistic regression adjusting for patient demographics, comorbidity, characteristics of patients' area of residence, and clinic-level random effects.

PARTICIPANTS

A total of 69,710 VHA primary care patients who responded to the 2012 Survey of Healthcare Experiences of Patients (SHEP), PCMH module.

MAIN MEASURES

Survey questions captured patients' ability to obtain care from VHA for five service types: routine care, immediate care, after-hours care, care by phone during regular office hours, and care by phone after normal hours. Outcomes included binary measures of hospitalization for overall, acute, and chronic ACSCs in 2013, identified in VHA administrative data and Medicare fee-for-service claims.

KEY RESULTS

Patients who reported "always" able to obtain after-hours care compared to "never" were less likely to be hospitalized for chronic ACSCs (OR 0.62, 95% CI 0.44-0.89, p = 0.009). Patients reporting "usually" getting care by phone during regular hours were more likely have a hospitalization for chronic ACSC (OR 1.49, 95% CI 1.03-2.17, p = 0.034). Experiences with routine care, immediate care, and care by phone after-hours demonstrated no significant association with hospitalization for ACSCs.

CONCLUSIONS

Improving patients' ability to obtain after-hours care was associated with fewer hospitalizations for chronic ACSCs, while access to care by phone during regular hours was associated with more hospitalizations. Health systems should consider the benefits, including reduced hospitalizations for chronic ACSCs, against the costs of implementing each of these PCMH services.

Machine Learning for Health Services Researchers

BACKGROUND

Machine learning is increasingly used to predict healthcare outcomes, including cost, utilization, and quality.

OBJECTIVE

We provide a high-level overview of machine learning for healthcare outcomes researchers and decision makers.

METHODS

We introduce key concepts for understanding the application of machine learning methods to healthcare outcomes research. We first describe current standards to rigorously learn an estimator, which is an algorithm developed through machine learning to predict a particular outcome. We include steps for data preparation, estimator family selection, parameter learning, regularization, and evaluation. We then compare 3 of the most common machine learning methods: (1) decision tree methods that can be useful for identifying how different subpopulations experience different risks for an outcome; (2) deep learning methods that can identify complex nonlinear patterns or interactions between variables predictive of an outcome; and (3) ensemble methods that can improve predictive performance by combining multiple machine learning methods.

RESULTS

We demonstrate the application of common machine methods to a simulated insurance claims dataset. We specifically include statistical code in R and Python for the development and evaluation of estimators for predicting which patients are at heightened risk for hospitalization from ambulatory care-sensitive conditions.

CONCLUSIONS

Outcomes researchers should be aware of key standards for rigorously evaluating an estimator developed through machine learning approaches. Although multiple methods use machine learning concepts, different approaches are best suited for different research problems.

The effects of global budget payments on hospital utilization in rural Maryland

OBJECTIVE

To assess the effect of Maryland's 2010 Total Patient Revenue (TPR) global budget reform in eight rural hospitals on population-level hospital rates of utilization three years after implementation.

DATA SOURCES/STUDY SETTING

Data on all inpatient discharges and outpatient department visits from the Health Services Cost Review Commission, population data from Claritas Demographic Reports, and county-level data from the Area Health Resource File.

STUDY DESIGN

We use a difference-in-differences approach to compare changes in utilization rates over time in the reform areas comprising 125 Zip Code Tabulation Areas (ZCTAs) and in two control hospital areas (66 ZCTAs and 327 ZCTAs, respectively). We examine several inpatient and outpatient measures and distinguish between relatively discretionary and nondiscretionary utilization.

DATA COLLECTION

Admissions data are hospital-reported discharge abstracts of all encounters in Maryland during 2008-2013. Population data are derived from the US Census.

PRINCIPAL FINDINGS

We find no statistically significant changes in admissions, either overall or discretionary. We find a statistically significant 8.9 percent (95%CI = [1.8, 16.0]) reduction in outpatient visits, with a statistically significant reduction of 14.8 percent (95%CI = [5.3, 24.3]) visits not to the Emergency Department.

CONCLUSIONS

We find that the TPR reform decreased outpatient utilization but did not affect inpatient utilization.

Inequalities in realised access to healthcare among recently arrived refugees depending on local access model: study protocol for a quasi-experimental study

INTRODUCTION

In many countries, including Germany, newly arriving refugees face specific entitlement restrictions and access barriers to healthcare. While entitlement restrictions apply to all refugees who seek protection in Germany during the first months, the barriers to access depend on the model that the states and the municipalities implement locally. Currently, two different models exist: the healthcare voucher model (HcV) and the electronic health card model (eHC). The aim of the study is to analyse the consequences of these two different access models on newly arrived refugees' realised access to healthcare.

METHODS AND ANALYSIS

The random assignment of refugees to municipalities allows for a quasi-experimental design by comparing realised access to healthcare among refugees in six municipalities in North Rhine-Westphalia which have implemented HcV or eHC. We compare realised access to healthcare using ambulatory care sensitive conditions and health expenditure as outcome indicators, and use of emergency care, preventive care, psychotherapeutic or psychiatric care, and of therapeutic devices as process indicators. Results will be adjusted for aggregated information on age, sex, socioeconomic structure of the municipalities and density of general practitioners or specialists.

ETHICS AND DISSEMINATION

We cooperated with local welfare offices and the statutory health insurance for data collection. Thereby, we were able to avoid recruiting large numbers of refugee patients immediately after arrival while their access and entitlement to healthcare are restricted. We developed an extensive data protection concept and ensured that all data collected are fully anonymised. Results will be published in peer-reviewed journals and summarised in reports to the funding agency.

Spatial clusters of chronic preventable hospitalizations (ambulatory care sensitive conditions) and access to primary care

Background

Potentially preventable hospitalizations (PPHs) or ambulatory care sensitive conditions (ACSCs) represent hospitalizations that could be successfully managed in a primary care setting. Research from the USA and elsewhere on the role of primary care provider (PCP) access as a PPH driver has been conflicting. We investigated the role of PCP access in the creation of areas with persistently significant high rates of PPHs over time or PPH hotspots/spatial clusters.

Methods

Using a detailed dataset of PCPs and a dataset of 106 334 chronic PPH hospitalizations from South Western Sydney, Australia, we identified hotspots of chronic PPHs. We contrasted how hotspot PPHs were different from other PPHs on a range of factors including PCP access.

Results and conclusions

Six spatially contiguous areas comprising of eight postcodes were identified as hotspots with risks ranging from 1.6 to 2.9. The hotspots were found to be more disadvantaged and had better PCP access than other areas. Socioeconomic disadvantage explained the most variation (8%) in clustering while PCP access explained only a small fraction though using detailed PCP access measures helped. Nevertheless a large proportion of the variation remained unexplained (86.5%) underscoring the importance of individual level behaviours and other factors in driving chronic PPH clustering.

Acute circulatory complications in people with diabetes mellitus type 2: How admission varies between urban and rural Victoria

OBJECTIVE

To identify the extent to which rurality influences the admission and mortality rates for acute circulatory complications among people with type 2 diabetes mellitus.

DESIGN

Retrospective study.

SETTING

All Victorian hospitals.

PARTICIPANTS

State-wide hospital admissions from 1 July 2010 to 30 June 2015 using the Victorian Admitted Episodes Dataset. Data included patients with type 2 diabetes mellitus and diagnosis of acute cardiovascular events, acute cerebrovascular haemorrhage or infarction, acute peripheral vascular events or hypertensive diseases.

MAIN OUTCOME MEASURE

Rates of admission and mortality were calculated for local government areas and Department of Health regions. Regression analysis identified the influence between admission rates and various predictor variables.

RESULTS

In total, 5785 emergency hospital admissions occurred during the study period, with the highest and lowest mortality and admission rates occurring in rural areas. Moderately high admission rates were identified in urban areas. Cardiovascular events far outnumbered other acute circulatory admissions. Regression analysis identified a number of significant socioeconomic variables, primarily for metropolitan residents. Socioeconomic disadvantage was the only significant factor in rural areas.

CONCLUSION

Victorian admission and mortality rates for acute circulatory complications are greatest in rural areas; yet, there is considerable heterogeneity in the admission rates within both rural and metropolitan areas. Furthermore, socioeconomic status is more influential than remoteness in determining emergency admissions. Further research needs to investigate the particular variables that lead to poorer outcomes rurally, investigate socioeconomic disadvantage in rural areas and have greater emphasis on peripheral vascular disease prevention.

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.

•

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

•

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

•

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

Hospitalizations due to primary care sensitive conditions: an ecological study

OBJECTIVE

To evaluate the trend of hospitalizations due to primary care sensitive conditions and its relationship with the Family Health Strategy coverage.

METHODS

Ecological study of time series using the records from the Hospital Information System, from 2005 to 2015, with data for the state of Goiás, Brazil. Trend analyses were performed by the generalized linear regression method of Prais-Winsten with robust variance, which allowed to verify if the trend of hospitalizations due to primary care sensitive conditions was stationary (p > 0.05), declining (p < 0.05 and negative regression coefficient), or ascending (p < 0.05 and positive regression coefficient) in each region of Goiás and for each diagnosis group, stratified by sex. Pearson correlation was used to verify the degree of association between the Family Health Strategy coverage and the rate of hospitalizations due to primary care sensitive conditions.

RESULTS

Hospitalizations due to primary care sensitive conditions accounted for 1,092,070 (30.0%) of hospitalizations in Goiás. The average hospitalizations rate due to primary care sensitive conditions was statically less than the rate for other conditions in the analyzed period (167.6% against 386.2%; t = −13.18; p < 0.001). There has been a downward trend in hospitalizations trend due to primary care sensitive conditions in Goiás and in most health regions. The trends varied between sexes in the groups of causes. We observed a negative correlation between the Family Health Strategy coverage and the hospitalizations trend due to primary care sensitive conditions in the state and also in most health regions.

CONCLUSIONS

Hospitalizations due to primary care sensitive conditions had a significant reduction trend over the analyzed period. Despite this progressive decrease, this rate remains high and the reduction trend was not linear for all causes. These results allow for directing public policies, while drawing a general overview of hospitalizations due to primary care sensitive conditions by sex and region in the state.

Geographic Disparities in Previously Diagnosed Health Conditions in Colorectal Cancer Patients Are Largely Explained by Age and Area Level Disadvantage

Background: Geographical disparity in colorectal cancer (CRC) survival rates may be partly due to aging populations and disadvantage in more remote locations; factors that also impact the incidence and outcomes of other chronic health conditions. The current study investigates whether geographic disparity exists amongst previously diagnosed health conditions in CRC patients above and beyond age and area-level disadvantage and whether this disparity is linked to geographic disparity in CRC survival.

Methods: Data regarding previously diagnosed health conditions were collected via computer-assisted telephone interviews with a cross-sectional sample of n = 1,966 Australian CRC patients between 2003 and 2004. Ten-year survival outcomes were acquired in December 2014 from cancer registry data. Multivariate logistic regressions were applied to test associations between previously diagnosed health conditions and survival rates in rural, regional, and metropolitan areas.

Results: Results suggest that only few geographical disparities exist in previously diagnosed health conditions for CRC patients and these were largely explained by socio-economic status and age. Living in an inner regional area was associated with cardio-vascular conditions, one or more respiratory diseases, and multiple respiratory diagnoses. Higher occurrences of these conditions did not explain lower CRC-specific 10 years survival rates in inner regional Australia.

Conclusion: It is unlikely that health disparities in terms of previously diagnosed conditions account for poorer CRC survival in regional and remote areas. Interventions to improve the health of regional CRC patients may need to target issues unique to socio-economic disadvantage and older age.

Evaluating the impact of physicians' provision on primary healthcare: Evidence from Brazil's More Doctors Program

This study aims to evaluate the More Doctors Program (Programa Mais Médicos) in terms of the provision of physicians, presenting estimates of its impact on hospitalization for ambulatory care sensitive conditions. The differences-in-differences method was used with propensity score matching (double difference matching), using 3 specifications, a falsification test, and also a dynamic endogeneity test to confirm the robustness of the results. For the application of this methodology, a panel of municipal data was constructed covering several variables related to socioeconomic, demographic, and public health infrastructure characteristics in the cities for the period from 2010 to 2016. The results show a significant reduction in hospital admissions in treated municipalities with an increasing and perceptible effect in the second year of the program.

Preventable hospitalizations, barriers to care, and disability

The AHRQ's Prevention Quality Indicators assume inpatient hospitalizations for certain conditions, referred as ambulatory-care sensitive (ACS) conditions, are potentially preventable and may indicate reduced access to and a lower quality of ambulatory care. Using a cohort drawn from the Medicare Current Beneficiary Survey (MCBS) linked to Medicare claims, we examined the extent to which barriers to healthcare are associated with ACS hospitalizations and related costs, and whether these associations differ by beneficiaries' disability status. Our results indicate that the regression-adjusted cost of ACS hospitalizations for elderly Medicare beneficiaries with no disabilities was $799. This cost increased six-fold, by $5148, among beneficiaries with mild disability, by $9045 for beneficiaries with moderate disability, by $5513 for those with severe disability, and by $8557 for persons with complete disability (P < 0.001). Persons reporting having foregone or delayed needed medical care because of financial difficulties (+$2082, P = .05), those experiencing low satisfaction with care coordination (+$1714, P = .01), and those reporting low satisfaction with access to care (+$1237, P = .02) also incurred significant excess ACS hospitalization costs relative to persons reporting no such barriers. This pattern held true for those with and without a disability, but were especially marked among persons with no functional limitations. These findings suggest that a better understanding of how public policy might effectively improve care coordination and reduce financial barriers to care is essential to formulating programs that reduce excess hospitalizations among the large and growing number of elderly Medicare beneficiaries.

Measuring doctor appointment availability in Northland general practice

INTRODUCTION Primary care access is associated with improved patient outcomes. Availability of appointments in general practice is one measure of access. Northland's demographics and high ambulatory sensitive hospitalisation rates may indicate constrained appointment availability. Our study aims were to determine appointment availability and establish the feasibility of measuring appointment availability through an automated process. METHODS An automated electronic query was created, run through a third party software programme that interrogated Northland general practice patient management systems. The time to third next available appointment (TNAA) was calculated for each general practitioner (GP) and a mean calculated for each practice and across the region. A research assistant telephone request for an urgent GP appointment captured the time to the urgent appointment and type of urgent appointment used to fit patients in. Regression analysis was used to determine the relationships between deprivation, patients per GP, and the use of walk-in clinics. RESULTS The mean TNAA was 2.5 days. 12% of practices offered walk-in clinics. There was a significant relationship between TNAA and increasing number of walk-in clinics. CONCLUSION The TNAA of 2.5 days indicates the possibility that routine appointments are constrained in Northland. However, TNAA may not give a reliable measure of urgent appointment availability and the measure needs to be interpreted by taking into account practice characteristics. Walk-in clinics, although increasing the availability of urgent appointments, may lead to more pressure on routine appointments. Using an electronic query is a feasible way to measure routine GP appointment availability.

Factors associated with ambulatory care sensitive emergency department visits for South Carolina Medicaid members with intellectual disability

INTRODUCTION

Ambulatory care sensitive conditions (ACSCs) can be seen as failure of access or management in primary care settings. Identifying factors associated with ACSCs for individuals with an Intellectual Disability (ID) provide insight into potential interventions.

METHOD

To assess the association between emergency department (ED) ACSC visits and a number of demographic and health characteristics of South Carolina Medicaid members with ID. A retrospective cohort of adults with ID was followed from 2001 to 2011. Using ICD-9-CM codes, four ID subgroups, totalling 14 650 members, were studied.

RESULTS

There were 106 919 ED visits, with 21 214 visits (19.8%) classified as ACSC. Of those, 82.9% were treated and released from EDs with costs averaging $578 per visit. People with mild and unspecified ID averaged greater than one ED visit per member year. Those with Down syndrome and other genetic cause ID had the lowest rates of ED visits but the highest percentage of ACSC ED visits that resulted in inpatient hospitalisation (26.6% vs. an average of 16.8% for other subgroups). When compared with other residential types, those residing at home with no health support services had the highest ED visit rate and were most likely to be discharged back to the community following an ED visit (85.2%). Adults residing in a nursing home had lower rates of ED visits but were most likely to be admitted to the hospital (38.9%) following an ED visit. Epilepsy and convulsions were the leading cause (29.6%) of ACSC ED visits across all subgroups and residential settings.

CONCLUSION

Prevention of ACSC ED visits may be possible by targeting adults with ID who live at home without health support services.

[Trends in hospitalization for primary care-sensitive conditions and associated factors in Porto Alegre, Rio Grande do Sul, Brazil]

An ecological study was conducted to analyze trends in hospitalization for primary care-sensitive conditions linking the results to the investments in health and coverage of the Family Health Strategy in Porto Alegre, between 1998 and 2012. The causes of hospitalization for primary care-sensitive conditions were based on the national list provided by the Ministry of Health. The data were obtained from the Hospital Information System of the Unified Health System (SUS). Standardized rates were created and investments increased by 27%, though investments in primary care increased by 83%. The expansion of coverage by the Family Health Strategy was almost fourfold, though it remained below the recommended values. There was no change in the trend of hospitalization for primary care-sensitive conditions. The analysis did not make it possible to establish if patients who were hospitalized for primary care-sensitive conditions had access to the Family Health Strategy or not, suggesting the need to incorporate data of place of origin in the information system. Studies using the Hospital Information System contribute to its enhancement, fomenting the assessment, management and design of health policies.

Do hospitalisations for ambulatory care sensitive conditions reflect low access to primary care? An observational cohort study of primary care usage prior to hospitalisation

OBJECTIVES

To explore whether hospitalisations for ambulatory care sensitive conditions (ACSCs) are associated with low access to primary care.

DESIGN

Observational cohort study over 2008 to 2012 using the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics (HES) databases.

SETTING

English primary and secondary care.

PARTICIPANTS

A random sample of 300 000 patients.

MAIN OUTCOME MEASURES

Emergency hospitalisation for an ACSC.

RESULTS

Over the long term, patients with ACSC hospitalisations had on average 2.33 (2.17 to 2.49) more general practice contacts per 6 months than patients with similar conditions who did not require hospitalisation. When accounting for the number of diagnosed ACSCs, age, gender and GP practice through a nested case-control method, the difference was smaller (0.64 contacts), but still significant (p<0.001).In the short-term analysis, measured over the 6 months prior to hospitalisation, patients used more GP services than on average over the 5 years. Cases had significantly (p<0.001) more primary care contacts in the 6 months before ACSC hospitalisations (7.12, 95% CI 6.95 to 7.30) than their controls during the same 6 months (5.57, 95% CI 5.43 to 5.72). The use of GP services increased closer to the time of hospitalisation, with a peak of 1.79 (1.74 to 1.83) contacts in the last 30 days before hospitalisation.

CONCLUSIONS

This study found no evidence to support the hypothesis that low access to primary care is the main driver of ACSC hospitalisations. Other causes should also be explored to understand how to use ACSC admission rates as quality metrics, and to develop the appropriate interventions.

Social justice, access and quality of healthcare in an age of austerity: users' perspective from rural Iceland

Iceland is sparsely populated but social justice and equity has been emphasised within healthcare. The aim of the study is to examine healthcare services in Fjallabyggð, in rural northern Iceland, from users’ perspective and evaluate social justice, access and quality of healthcare in an age of austerity. Mixed-method approach with transformative design was used. First, data were collected with questionnaires (response rate of 53% [N=732] in 2009 and 30% [N=415] in 2012), and analysed statistically, followed by 10 interviews with healthcare users (2009 and 2014). The results were integrated and interpreted within Bronfenbrenner’s Ecological Model. There was significantly less satisfaction with accessibility and variety of healthcare services in 2012 after services downsizing. Solid primary healthcare, good local elderly care, some freedom in healthcare choice and reliable emergency services were considered fundamental for life in a rural area. Equal access to healthcare is part of a fundamental human right. In times of economic downturn, people in rural areas, who are already vulnerable, may become even more vulnerable and disadvantaged, seriously threatening social justice and equity. With severe cutbacks in vitally important healthcare services people may eventually choose to self-migrate.

The Relationship Between Rural Health Clinic Use and Potentially Preventable Hospitalizations and Emergency Department Visits Among Medicare Beneficiaries

PURPOSE

High rates of potentially preventable hospitalizations and emergency department (ED) visits indicate limited primary care access. Rural Health Clinics (RHCs) are intended to increase access to primary care. The goal of this study was to evaluate the role of RHCs and their impact on potentially preventable hospitalizations and ED visits among Medicare beneficiaries based on actual individual-level utilization patterns.

METHODS

With Medicare Part A and Part B claims data from 2007 to 2010, we constructed a series of individual-level negative binomial regression models to examine the relationship between RHC use and the number of potentially preventable hospitalizations and ED visits.

FINDINGS

RHC use was associated with a 27% increase in potentially preventable hospitalizations and a 24% increase in potentially preventable ED visits among older Medicare enrollees. Among younger, disabled Medicare beneficiaries, RHC use was associated with a 14% increase in potentially preventable hospitalizations and an 18% increase in potentially preventable ED visits. Potentially preventable hospitalizations and ED visits were more common among beneficiaries who were black or who had more chronic conditions.

CONCLUSIONS

The results of our study highlight that the Medicare population using RHCs is at especially high risk for potentially preventable hospitalizations and ED visits. The mechanisms behind this are not well understood and should receive continued attention from policy makers and researchers.