Impact of Disease Prevalence Adjustment on Hospitalization Rates for Chronic Ambulatory Care-Sensitive Conditions in Germany

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.

Challenges of using asthma admission rates as a measure of primary care quality in children: An international comparison

Objectives

To demonstrate the challenges of interpreting cross-country comparisons of paediatric asthma hospital admission rates as an indicator of primary care quality.

Methods

We used hospital administrative data from >10 million children aged 6–15 years, resident in Austria, England, Finland, Iceland, Ontario (Canada), Sweden or Victoria (Australia) between 2008 and 2015. Asthma hospital admission and emergency department (ED) attendance rates were compared between countries using Poisson regression models, adjusted for age and sex.

Results

Hospital admission rates for asthma per 1000 child-years varied eight-fold across jurisdictions. Admission rates were 3.5 times higher when admissions with asthma recorded as any diagnosis were considered, compared with admissions with asthma as the primary diagnosis. Iceland had the lowest asthma admission rates; however, when ED attendance rates were considered, Sweden had the lowest rate of asthma hospital contacts.

Conclusions

The large variations in childhood hospital admission rates for asthma based on the whole child population reflect differing definitions, admission thresholds and underlying disease prevalence rather than primary care quality. Asthma hospital admissions among children diagnosed with asthma is a more meaningful indicator for inter-country comparisons of primary care quality.

Avoidable Hospitalization for Heart Failure Among a Cohort of 18- to 64-Year-Old Italian Citizens and Immigrants: Results From the Italian Network for Longitudinal Metropolitan Studies

BACKGROUND

Heart failure (HF) represents a severe public health burden. In Europe, differences in hospitalizations for HF have been found between immigrants and native individuals, with inconsistent results. Immigrants face many barriers in their access to health services, and their needs may be poorly met. We aimed to compare the rates of avoidable hospitalization for HF among immigrants and native individuals in Italy.

METHODS

All 18- to 64-year-old residents of Turin, Venice, Reggio Emilia, Modena, Bologna, and Rome between January 1, 2001 and December 31, 2013 were included in this multicenter open-cohort study. Immigrants from high migratory pressure countries (divided by area of origin) were compared with Italian citizens. Age-, sex-, and calendar year-adjusted hospitalization rate ratios and the 95% CIs of avoidable hospitalization for HF by citizenship were estimated using negative binomial regression models. The hospitalization rate ratios were summarized using a random effects meta-analysis. Additionally, we tested the contribution of socioeconomic status to these disparities.

RESULTS

Of the 4 470 702 subjects included, 15.8% were immigrants from high migratory pressure countries. Overall, immigrants showed a nonsignificant increased risk of avoidable hospitalization for HF (hospitalization rate ratio, 1.26 [95% CI, 0.97-1.68]). Risks were higher for immigrants from Sub-Saharan Africa and for males from Northern Africa and Central-Eastern Europe than for their Italian citizen counterparts. Risks were attenuated adjusting for socioeconomic status, although they remained consistent with nonadjusted results.

CONCLUSIONS

Adult immigrants from different geographic macroareas had higher risks of avoidable hospitalization for HF than Italian citizens. Possible explanations might be higher risk factors among immigrants and reduced access to primary health care services.

Primary Care Variation in Rates of Unplanned Hospitalizations, Functional Ability, and Quality of Life of Older People

PURPOSE

To investigate variability in older people's outcomes according to general practitioner (GP) and practice characteristics in New Zealand and the Netherlands.

METHODS

We used data from 2 primary care-based, cluster-randomized, controlled trials to separately fit mixed models of unplanned admission rates, functional ability, and quality of life (QOL) and examine variation according to GP- and practice-level characteristics after adjusting for participant-level characteristics. For the New Zealand sample (n = 3,755 aged 75+ years in 60 practices), we modeled 36-month unplanned admission rates, Nottingham Extended Activities of Daily Living (NEADL) scale, and QOL domain ratings from the brief version of the World Health Organization Quality of Life assessment tool. For the Netherlands sample (n = 3,141 aged 75+ years in 59 practices), we modeled 12-month unplanned admission rates, Groningen Activity Restriction Scale scores, and EuroQOL 5 dimensions (EQ-5D) summary index.

RESULTS

None of the GP or practice characteristics were significantly associated with rates of unplanned admissions in the New Zealand sample, but we found greater rates of admission in larger practices (incidence rate ratio [IRR], 1.45; 95% CI, 1.15-1.81) and practices staffed with a practice nurse (IRR, 1.74; 95% CI, 1.20-2.52) in the Netherlands sample. In both samples, differences were consistently small where there were significant associations with function (range, -0.26 to 0.19 NEADL points in the New Zealand sample; no associations in the Netherlands sample) and QOL (range, -1.64 to 0.97 QOL points in New Zealand; -0.01 EQ-5D points in the Netherlands).

CONCLUSIONS

In the absence of substantial differences in older people's function and QOL, it remains unclear whether intriguing GP- or practice-related variations in admission rates represent low- or high-quality practice.

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.

Comorbidity profile of patients with concurrent diagnoses of asthma and COPD in Germany

The aim of this study was to estimate the prevalence of concurrent diagnoses of asthma/COPD and examine its full spectrum of comorbid disorders in Germany. We used nationwide outpatient claims data comprising diagnoses of all statutory health insurees (40+ years) in 2017 (N = 40,477,745). The ICD-10 codes J44 (COPD) and J45 (asthma) were used to identify patients. The odds of 1,060 comorbid disorders were examined in a case-control study design. Of all insurees, 4,632,295 (11%) were diagnosed with either asthma or COPD. Of them, 43% had asthma only, 44% COPD only and 13% both diseases. The prevalence of concurrent asthma/COPD was 1.5% with a slightly higher estimate among females than males (1.6% vs. 1.4%) and constant increase by age in both sexes. Comorbid disorders were very common among these patients. 31 disorders were associated with a strong effect size (odds ratio > 10), including other respiratory diseases, but also bacterial (e.g., mycobacteria, including tuberculosis) and fungal infections (e.g., sporotrichosis and aspergillosis). Patients with concurrent asthma/COPD suffer from comorbid disorders involving various body systems, which points to the need of a multidisciplinary care approach. Regular screening for common comorbid disorders may result in better clinical course and prognosis as well as improvement of patients' quality of life.

Correlation between obesity and manual lymphatic drainage in Germany - a retrospective analysis from 2008 to 2016

Backgrounds: Costs for manual lymphatic drainage (MLD) paid by the Statutory Health Insurances (SHI) have increased disproportionately in Germany in the last decade. There is no obvious reason that this increase is due to an increasing number of patients with lymph edema. We therefore assume that there are large numbers of patients with obesity and obesity-associated dependency syndrome who drive the cost of MLD and did a retrospective analysis of the correlation between hospitalization rates for lymph edema and obesity and MLD prescription rates in outpatients.

PATIENTS AND METHODS

Roughly 90 % of the German population is insured by the Statutory Health Insurance. From its reports we extracted data regarding costs and numbers of MLD session prescribed annually. Hospitalization rates for lymph edema (codes I89.*, I97.2 and Q82.0) and for obesity (ICD E66.*) were provided by the Federal Statistical Office after a specific remote analyses.

RESULTS

In the years 2008 to 2016, the MLD prescriptions in the individual federal states increased by + 43.5 % in Berlin to + 109.3 % in Mecklenburg-Western Pomerania. Number of hospitalizations with the principal diagnosis (condition, which caused the admission) hereditary and postmastectomy lymph edema are low and decreased in most federal states. Number of hospitalizations with the additional diagnosis (conditions that coexist at the time of admission or develop subsequently) obesity increased with a range from + 4.8 % in Baden-Württemberg to + 86.4 % in Mecklenburg-Western Pomerania. The correlation between the increase in prescribed MLD in the individual federal state and the increase in hospitalization rates per 1000 inhabitants of cases with obesity is greater (R² 0.4696) than with lymph edema (R² 0.0987).

CONCLUSIONS

Our analysis is in line with the hypothesis that there is a correlation between the increasing prescription rate of MLD and the increasing burden of obesity in Germany.

Algorithms to identify COPD in health systems with and without access to ICD coding: a systematic review

Background

Chronic obstructive pulmonary disease (COPD) causes significant morbidity and mortality worldwide. Estimation of incidence, prevalence and disease burden through routine insurance data is challenging because of under-diagnosis and under-treatment, particularly for early stage disease in health care systems where outpatient International Classification of Diseases (ICD) diagnoses are not collected. This poses the question of which criteria are commonly applied to identify COPD patients in claims datasets in the absence of ICD diagnoses, and which information can be used as a substitute. The aim of this systematic review is to summarize previously reported methodological approaches for the identification of COPD patients through routine data and to compile potential criteria for the identification of COPD patients if ICD codes are not available.

Methods

A systematic literature review was performed in Medline via PubMed and Google Scholar from January 2000 through October 2018, followed by a manual review of the included studies by at least two independent raters. Study characteristics and all identifying criteria used in the studies were systematically extracted from the publications, categorized, and compiled in evidence tables.

Results

In total, the systematic search yielded 151 publications. After title and abstract screening, 38 publications were included into the systematic assessment. In these studies, the most frequently used (22/38) criteria set to identify COPD patients included ICD codes, hospitalization, and ambulatory visits. Only four out of 38 studies used methods other than ICD coding. In a significant proportion of studies, the age range of the target population (33/38) and hospitalization (30/38) were provided. Ambulatory data were included in 24, physician claims in 22, and pharmaceutical data in 18 studies. Only five studies used spirometry, two used surgery and one used oxygen therapy.

Conclusions

A variety of different criteria is used for the identification of COPD from routine data. The most promising criteria set in data environments where ambulatory diagnosis codes are lacking is the consideration of additional illness-related information with special attention to pharmacotherapy data. Further health services research should focus on the application of more systematic internal and/or external validation approaches.

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.

[Hospitalizations and amputations for diabetes mellitus-trends and small-area variation in Germany]

BACKGROUND

Hospitalizations and lower limb amputations related to diabetes mellitus (DM) are considered to be potentially avoidable. Appropriate outpatient care of diabetes prevents complications. Rates on potentially avoidable hospitalizations for diabetes are core indicators of the German diabetes surveillance program. International comparisons showed high hospitalization rates in Germany for both indicators.

OBJECTIVES

The objective of this analysis is to describe time trends on hospitalizations and inpatient lower limb amputations (major amputations) for DM. Furthermore, we analyze small area variations.

MATERIALS AND METHODS

Based on the German diagnosis related groups (DRGs) dataset we calculated age-standardized rates covering 2005-2015. Calculations rely on the Organisation for Economic Co-operation and Development (OECD) indicator definitions. Time trends are obtained by linear regression modelling. We also stratified into age groups and analyzed 2015 small-area variations using age-adjusted rates.

RESULTS

Crude hospitalization rates were 310 admissions per 100,000 inhabitants in men (amputation rate: 15.6) and 216 admissions per 100,000 inhabitants in women (amputation rate: 7.1) in 2015. Age-adjusted hospitalizations and amputations rates in women decreased over time (10.3 and 1.2 cases per 100,000 inhabitants and year, respectively). In men, the amputation rate decreased significantly (1.5 cases per 100,000 inhabitants and year). We found higher rates for men than for women in almost all age categories. In eastern Germany and parts of Bavaria and North Rhine-Westphalia rates are particularly high.

CONCLUSIONS

A decrease in hospitalization rates may indicate improvements in ambulatory diabetes care over time. Future studies should consider age-specific differences and small-area variations.

Secondary data in diabetes surveillance - co-operation projects and definition of references on the documented prevalence of diabetes

In addition to the Robert Koch Institute's health surveys, analyses of secondary data are essential to successfully developing a regular and comprehensive description of the progression of diabetes as part of the Robert Koch Institute's diabetes surveillance. Mainly, this is due to the large sample size and the fact that secondary data are routinely collected, which allows for highly stratified analyses in short time intervals. The fragmented availability of data means that various sources of secondary data are required in order to provide data for the indicators in the four fields of action for diabetes surveillance. Thus, a milestone in the project was to check the suitability of different data sources for their usability and to carry out analyses. Against this backdrop, co-operation projects were specifically funded in the context of diabetes surveillance. This article presents the results that were achieved in co-operation projects between 2016 and 2018 that focused on a range of topics: from evaluating the usability of secondary data to statistically modelling the development of epidemiological indices. Moreover, based on the data of the around 70 million people covered by statutory health insurance, an initial estimate was calculated for the documented prevalence of type 2 diabetes for the years 2010 and 2011. To comparably integrate these prevalences over the years in diabetes surveillance, a reference definition was established with external expertise.

Selecting and defining indicators for diabetes surveillance in Germany

Mainly because of the large number of people affected and associated significant health policy implications, the Robert Koch Institute (RKI) is developing a public health surveillance system using diabetes as an example. In a first step to ensure long-term and comparable data collection and establish efficient surveillance structures, the RKI has defined a set of relevant indicators for diabetes surveillance. An extensive review of the available literature followed by a structured process of consensus provided the basis for a harmonised set of 30 core and 10 supplementary indicators. They correspond to the following four fields of activity: (1) reducing diabetes risk, (2) improving diabetes early detection and treatment, (3) reducing diabetes complications, (4) reducing the disease burden and overall costs of the disease. In future, in addition to the primary data provided by RKI health monitoring diabetes surveillance needs to also consider the results from secondary data sources. Currently, barriers to accessing this data remain, which will have to be overcome, and gaps in the data closed. The RKI intentends to continuously update this set of indicators and at some point apply it also to further chronic diseases with high public health relevance.

[Regionalization of federal health reporting using the example of diabetes surveillance : Aims and results of the discussion between the Robert Koch Institute and the federal states]

Insufficiently treated diabetes mellitus can lead to severe comorbidities. National and international analyses show a continuous increase in diabetes prevalence over the last decades. Currently, an indicator-based national diabetes surveillance system is implemented at the Robert Koch Institute (RKI) to monitor and report on diabetes development on the basis of available primary and secondary data. The aim of the meeting was to go into deeper discussions and to integrate expectations and expertise of the federal states into the design of the national surveillance system. A close collaboration between the RKI and the federal states is intended.