Which hospitalisations are ambulatory care-sensitive, to what degree, and how could the rates be reduced? Results of a group consensus study in Germany

General practitioner-based interventions to reduce hospital admissions in patients with multimorbidity living at home - A rapid review

BACKGROUND

Multimorbidity is a common health problem among patients treated in GP practices and often associated with an increased risk of hospitalization. The aim of this review was to identify GP-based interventions to reduce hospitalization in patients with multimorbidity who were evaluated in randomized controlled trials.

METHODS

For the rapid review, the databases Medline and CENTRAL were systematically searched for randomized controlled trials evaluating an effect of GP-based interventions on the duration or frequency of hospitalization in adult patients with multimorbidity living at home. The interventions and their effects were described narratively.

RESULTS

From 2,260 hits in the database searches, 15 studies could be included. The interventions identified included, amongst others, interdisciplinary cooperation, training of GPs and other practice staff, and increased patient centeredness. Hospital admissions were reported in 13 studies, and the number of days spent in hospital was reported in six studies. Two studies found a significant reduction in hospitalization.

CONCLUSIONS

While most interventions were not effective, there were also two GP-based interventions for patients with multimorbidity which focused on the patients' individual situation and contributed to avoiding hospitalization. However, more studies are needed to make reliable statements on the effectiveness of various measures.

A Cross-Sectoral Telemedicine Network (sekTOR-HF) for Patients with Heart Failure

Objectives: Heart failure is associated with frequent hospital admissions and high mortality. Digital medical technologies could help to improve information exchange between healthcare providers and patients to prevent recurrent cardiac decompensation. Methods: Eligible patients aged between 18 and 85 (mean age 65 ± 12; 35.4% female) with symptomatic heart failure were included in this cross-sectoral telemedicine network (sekTOR-HF) study (n = 79) with a 12-month intervention period. Depending on the severity of heart failure at the time of inclusion, patients in the intervention group were labeled either as inpatients (NYHA III-IV) or outpatients (NYHA I-II). All patients not included served as the control group. Nearest Neighbor Propensity Score Matching was performed to obtain a control group of the same size. Patients in the intervention group received an electronic patient record with all relevant health data in an eHealth portal and the option to use learning modules. A coordinating network office supported all patients in the intervention group. Monitoring included patient self-measurement of blood pressure, weight, heart rate, and oxygen saturation and a digital electrocardiogram. The primary endpoint was all-cause rehospitalization in both groups. Results: The cumulative incidence for all-cause rehospitalization was lower in the intervention group compared to the control group (sHR 1.86; 95% CI: 1.12-3.09). There was no difference in all-cause mortality (HR 1.5; 95% CI: 0.53-4.21). Conclusions: Intervention management in this cross-sectoral telemedicine network led to a lower cumulative incidence of all-cause rehospitalization even in the early phase of intervention.

The impact of team-based primary care on quality-related healthcare services and access to primary care: Norway's primary healthcare teams pilot program

This study evaluates Norway's Primary Healthcare Teams (PHT) pilot program, which introduced team-based care in general practice clinics to improve care for patients with complex conditions. Practices hired nurses and chose between an activity-based or block funding model. This analysis examines the activity-based funding model, which incorporated fee-for-service (FFS) for nurses. Using a difference-in-differences (DID) approach, the study assesses the program's impact on quality-related primary care services, out-of-hours care, hospitalizations, general practitioners' (GPs') working hours, and patient list length. The findings show that PHTs increased quality-related services for target groups (primarily provided by nurses) without affecting GP working hours or list length, suggesting that added nurse capacity was used to enhance care for target patients, not expand primary care access. There is little evidence of changes in healthcare utilization outside primary care, except a possible reduction in hospitalizations for type 2 diabetes patients with ambulatory care-sensitive conditions.

More doctors, better health? A generalised synthetic control approach to estimating impacts of increasing doctors under Brazil's Mais Medicos programme

Worldwide, there are an insufficient number of primary care physicians to provide accessible, high-quality primary care services. Better knowledge on the health impacts of policies aimed at improving access to primary care physicians is important for informing future policies. Using a generalised synthetic control estimator (GSC), we estimate the effect of the increase in primary care physicians from the Programa Mais Médicos in Brazil. The GSC allows us to estimates a continuous treatment effects which are heterogenous by region. We exploit the variation in physicians allocated to each Brazilian microregion to identify the impact of an increasing Mais Médicos primary care physicians. We explore hospitalisations and mortality rates (both total and from ambulatory care sensitive conditions) as outcomes. Our analysis differs from previous work by estimating the impact of the increase in physician numbers, as opposed to the overall impact of programme participation. We examine the impact on hospitalisations and mortality rates and employ a panel dataset with monthly observations of all Brazilian microregion over the period 2008-2017. We find limited effects of an increase in primary care physicians impacting health outcomes - with no significant impact of the Programa Mais Médicos on hospitalisations or mortality rates. Potential explanations include substitution of other health professionals, impacts materialising over the longer-term, and poor within-region allocation of Mais Médicos physicians.

[Descriptive analysis of the steering potential in the internal medicine in Germany based on an international comparison]

BACKGROUND

Healthcare in Germany is not always needs-based and has considerable potential for optimization. Internal medicine (IM) plays a special role in the German healthcare system due to its long tradition. Against this background, a look at the optimization potential to achieve better quality and higher efficiency care seems particularly relevant.

OBJECTIVE

Based on an international comparison and taking ambulatory care-sensitive conditions (ACSC) into account, this study aims to identify the steering potential in IM and to discuss it in the context of current reform plans.

MATERIAL AND METHODS

The descriptive analysis was carried out as part of a report commissioned by the German Society of Internal Medicine and is based on data from the Federal Statistical Office and Eurostat as well as the ACSC catalogue developed for Germany.

RESULTS

The top 10 reasons for inpatient treatment in IM include 7 ACSCs. These diagnoses account for almost one quarter of cases and treatment days and mostly relate to cardiology. The international comparison including numerous other indications shows that other countries have both significantly fewer cases and shorter lengths of stay for most indications.

CONCLUSION

The results show that IM in Germany has considerable potential for optimization of inpatient care. In light of the regional variation in service providers and utilization as well as the potential for avoiding inpatient treatment, the current reform plans represent an opportunity for the reorientation of IM. Not least because of its high relevance, also in terms of numbers, it is therefore right and important that it is given such strong consideration within the reform plans.

[Integrated regulations for medical and nursing care in long-term care: qualitative results of the process evaluation: Innovative form of care in long-term care]

Integrated regulations for medical and nursing care in long-term care: qualitative results of the process evaluation: Innovative form of care in long-term care Abstract: Background: Long-term care patients, most of whom suffer from multimorbidity, are dependent on appropriate medical and nursing care. Inadequate interdisciplinary cooperation structures and processes pose a challenge for nursing care when residents' conditions deteriorate and can lead to hospital admissions that could potentially be avoided. Objective: Structures and processes of interdisciplinary cooperation were developed and implemented as part of the SaarPHIR innovation fund project "Saarländische PflegeHeim Versorgung Integriert Regelhaft". The aims of the qualitative part of the process evaluation were the subjective assessment of the structural and process level of the complex intervention across all project phases from the perspective of the participants as well as an analysis of the context factors. Method: Qualitative interviews were conducted with all participating facilities and the medical care communities formed as part of the project in order to record the subjective experiences gained in the implementation and impact of the complex intervention. The data analysis was carried out using qualitative content analysis. Results: Both professional groups perceive a structural organizational change that has a positive effect on interdisciplinary cooperation. The benefits in terms of care are rated as high. Conclusion: Various measures (e.g. pre-weekend ward rounds, extended on-call duty) at the structural and process level should be retained when transferring to standard care.

Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA)

OBJECTIVE

To improve the performance of International Classification of Disease (ICD) code rule-based algorithms for identifying low acuity Emergency Department (ED) visits by using machine learning methods and additional covariates.

DATA SOURCES

We used secondary data on ED visits from the National Hospital Ambulatory Medical Survey (NHAMCS), from 2016 to 2020.

STUDY DESIGN

We established baseline performance metrics with seven published algorithms consisting of International Classification of Disease, Tenth Revision codes used to identify low acuity ED visits. We then trained logistic regression, random forest, and gradient boosting (XGBoost) models to predict low acuity ED visits. Each model was trained on five different covariate sets of demographic and clinical data. Model performance was compared using a separate validation dataset. The primary performance metric was the probability that a visit identified by an algorithm as low acuity did not experience significant testing, treatment, or disposition (positive predictive value, PPV). Subgroup analyses assessed model performance across age, sex, and race/ethnicity.

DATA COLLECTION

We used 2016-2019 NHAMCS data as the training set and 2020 NHAMCS data for validation.

PRINCIPAL FINDINGS

The training and validation data consisted of 53,074 and 9542 observations, respectively. Among seven rule-based algorithms, the highest-performing had a PPV of 0.35 (95% CI [0.33, 0.36]). All model-based algorithms outperformed existing algorithms, with the least effective-random forest using only age and sex-improving PPV by 26% (up to 0.44; 95% CI [0.40, 0.48]). Logistic regression and XGBoost trained on all variables improved PPV by 83% (to 0.64; 95% CI [0.62, 0.66]). Multivariable models also demonstrated higher PPV across all three demographic subgroups.

CONCLUSIONS

Machine learning models substantially outperform existing algorithms based on ICD codes in predicting low acuity ED visits. Variations in model performance across demographic groups highlight the need for further research to ensure their applicability and fairness across diverse populations.

Comparing the quality of care in physician networks to usual care for elderly patients in three German regions: a quasi-experimental cohort study

OBJECTIVES

Patients in Germany have free choice of physicians in the ambulatory care sector and can consult them as often as they wish without a referral. This can lead to inefficiencies in treatment pathways. In response, some physicians have formed networks to improve the coordination and quality of care. This study aims to investigate whether the care provided by these networks results in better health and process outcomes than usual care.

STUDY DESIGN

This was a quasi-experimental cohort study.

METHODS

We analysed claims data from 2017 to 2018 in Bavaria, Brandenburg, and Westphalia-Lippe. Our study population includes patients aged 65 years or older with heart failure (n = 267,256), back pain (n = 931,672), or depression (n = 483,068). We compared condition-specific and generic quality indicators between patients treated in physician networks and usual care. Ambulatory care-sensitive emergency department cases were used as a primary outcome measure. Imbalances between the groups were minimized using propensity score matching.

RESULTS

Rates of ambulatory care-sensitive emergency department cases yielded insignificant differences between networks and usual care in the depression and heart failure subgroups. For back pain patients, rates were 0.17 percentage points higher (P < 0.01) in network patients compared with usual care. Among network patients, generic indicators for prevention and coordination showed significantly better performance. For instance, the rate of completed vaccination against influenza is 3.03 percentage points higher (P < 0.01), and the rate of specialist visits after referral is 1.6 percentage points higher (P < 0.01) in heart failure patients, who are treated in physician networks. This is accompanied by higher rates of polypharmacy. Furthermore, the results for condition-specific indicators suggest that for most indicators, a greater proportion of the care provided by physician networks adhered to national treatment guidelines.

CONCLUSIONS

Our findings suggest that physician networks in Germany do not reduce rates of ambulatory care-sensitive emergency department cases but perform better than usual care in terms of care coordination and prevention. Further research is needed to confirm our findings and explore the implications of the potentially higher rates of polypharmacy seen in physician networks.

[Focusing on intersectorality-strategies and current research projects for the care of geriatric people]

In view of the demographic change, the need for intersectoral care of the aging population has already been identified. The strategies for implementation are diverse and address different approaches, each of which requires different sectors to overlap. This article provides an overview of already completed and ongoing projects for the care of geriatric patients. It becomes apparent that the development of networks as an indispensable basis for intersectoral care cannot be measured in terms of direct intervention effects and therefore makes it difficult to prove the cost-benefit. It is also evident that some research projects fail to be implemented into standard care due to financial and staff shortages.Do we need a rethinking in Germany or less innovation-related funding lines for better implementation and research of existing concepts? International role models such as Japan show that cost reduction for the care of the aging population should be considered in the long term, which requires increased financial volumes in the short term. For a sustainable implementation of cross-sectoral approaches into everyday life, research should therefore reorganize tight and/or entrenched structures, processes, and financing. By linking the countless existing projects and integrating ideas from different sectors, future demands of intersectoral geriatric care may be achieved.

Evaluation of different models of general practitioners working in or alongside emergency departments: a mixed-methods realist evaluation

Background

Emergency healthcare services are under intense pressure to meet increasing patient demands. Many patients presenting to emergency departments could be managed by general practitioners in general practitioner-emergency department service models.

Objectives

To evaluate the effectiveness, safety, patient experience and system implications of the different general practitioner-emergency department models.

Design

Mixed-methods realist evaluation.

Methods

Phase 1 (2017-8), to understand current practice: rapid realist literature review, national survey and follow-up key informant interviews, national stakeholder event and safety data analysis. Phase 2 (2018-21), to collect and analyse qualitative (observations, interviews) and quantitative data (time series analysis); cost-consequences analysis of routine data; and case site data for 'marker condition' analysis from a purposive sample of 13 case sites in England and Wales. Phase 3 (2021-2), to conduct mixed-methods analysis for programme theory and toolkit development.

Results

General practitioners commonly work in emergency departments, but delivery models vary widely in terms of the scope of the general practitioner role and the scale of the general practitioner service. We developed a taxonomy to describe general practitioner-emergency department service models (Integrated with the emergency department service, Parallel within the emergency department, Outside the emergency department on the hospital site) and present a programme theory as principal output of the study to describe how these service models were observed to operate. Routine data were of variable quality, limiting our analysis. Time series analysis demonstrated trends across intervention sites for: increased time spent in the emergency department; increased emergency department attendances and reattendances; and mixed results for hospital admissions. Evidence on patient experience was limited but broadly supportive; we identified department-level processes to optimise the safety of general practitioner-emergency department models.

Limitations

The quality, heterogeneity and extent of routine emergency department data collection during the study period limited the conclusions. Recruitment was limited by criteria for case sites (time series requirements) and individual patients (with 'marker conditions'). Pandemic and other pressures limited data collection for marker condition analysis. Data collected and analysed were pre pandemic; new approaches such as 'telephone first' and their relevance to our findings remains unexplored.

Conclusion

Findings suggest that general practitioner-emergency department service models do not meet the aim of reducing the overall emergency department waiting times and improving patient flow with limited evidence of cost savings. Qualitative data indicated that general practitioners were often valued as members of the wider emergency department team. We have developed a toolkit, based on our findings, to provide guidance for implementing and delivering general practitioner-emergency department services.

Future work

The emergency care data set has since been introduced across England to help standardise data collection to facilitate further research. We would advocate the systematic capture of patient experience measures and patient-reported outcome measures as part of routine care. More could be done to support the development of the general practitioner in emergency department role, including a core set of competencies and governance structure, to reflect the different general practitioner-emergency department models and to evaluate the effectiveness and cost effectiveness to guide future policy.

Study registration

This study is registered as PROSPERO CRD42017069741.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 15/145/04) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 10. See the NIHR Funding and Awards website for further award information.

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.

Outpatient Health Service Utilization Among Adults with Diabetes, Hypertension and Cardiovascular Disease During the COVID-19 Pandemic - Results of Population-Based Surveys in Germany from 2019 to 2021

Purpose

Fear of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and lockdown measures may have an impact on health care utilization particularly for people with chronic diseases. We investigated changes in outpatient utilization behavior in pandemic phases among people with selected chronic diseases in Germany.

Methods

The nationwide population-based telephone surveys German Health Update (GEDA) 2019/2020 (April 2019 to September 2020) and GEDA 2021 (July to December 2021) covered 4 out of 7 pandemic phases from the pre-pandemic to the 4th pandemic wave. Data on hypertension, diabetes and major cardiovascular diseases (CVD) in the past 12 months and visiting a general practitioner (GP) or a specialist (excluding dentist) in the past 4 weeks was collected using a standardized questionnaire. Proportions and odds ratios were derived from logistic regression models adjusted for age, sex, education and federal states.

Results

Among 27,967 participants aged ≥16 years, 8,449, 2,497 and 1,136 individuals had hypertension, diabetes and major CVD. Participants with these chronic diseases visited a GP or specialist significantly more often than the overall study population, irrespective of pandemic phases. Compared to the pre-pandemic phase, a significant reduction in specialist-visiting was found in the first pandemic wave among people with hypertension (34.3% vs 24.1%), diabetes (39.5% vs 25.5%) and major CVD (41.9% vs 25.6%). GP-visiting was lower only among people with hypertension (53.0% vs 46.0%). No difference in GP or specialist visiting was found in the 4th pandemic wave compared to the pre-pandemic phase.

Conclusion

The observed decrease particularly in specialist utilization among people with the selected chronic diseases at the beginning of the pandemic was not observed for the second half of 2021 despite the ongoing pandemic. Further studies are required to examine whether the temporary changes in the utilization of ambulatory health care have affected the disease management of people with chronic diseases.

The impact of integrated care on health care utilization and costs in a socially deprived urban area in Germany: A difference-in-differences approach within an event-study framework

We investigated the impact of an integrated care initiative in a socially deprived urban area in Germany. Using administrative data, we empirically assessed the causal effect of its two sub-interventions, which differed by the extent to which their instruments targeted the supply and demand side of healthcare provision. We addressed confounding using propensity score matching via the Super Learner machine learning algorithm. For our baseline model, we used a two-way fixed-effects difference-in-differences approach to identify causal effects. We then employed difference-in-differences analyses within an event-study framework to explore the heterogeneity of treatment effects over time, allowing us to disentangle the effects of the sub-interventions and improve causal interpretation and generalizability. The initiative led to a significant increase in hospital and emergency admissions and non-hospital outpatient visits, as well as inpatient, non-hospital outpatient, and total costs. Increased utilization may indicate that the intervention improved access to care or identified unmet need.

Do physician networks with standardized audit and feedback deliver better quality care for older patients compared to regular care?: a quasi-experimental study using claims data from Bavaria, Germany

BACKGROUND

Physician networks (PNs) are a recent development in Germany, designed to improve the coordination and quality of healthcare. We compared the performance of PNs that use a standardized system of audit and feedback to that of regular care.

METHODS

We analysed a large sample of claims data from Bavaria, Germany, using nearest-neighbour propensity score matching. Patients who had ambulatory care-sensitive conditions (ACSCs) and were enrolled in PNs were matched with control patients receiving regular care. We examined potentially avoidable hospitalizations related to the 13 most common ACSCs (primary endpoints), as well as processes-of-care indicators for disease prevention, pharmacotherapy and coordination of care.

RESULTS

There were no significant differences in rates of potentially avoidable hospitalizations between the two groups. However, the networks showed higher vaccination rates, increased participation in disease management programmes, and more frequent use of referrals when consulting specialist physicians. On average, network patients visited a greater number of specialists and had lower continuity of care compared to patients receiving regular care. Polypharmacy and PRISCUS-list prescriptions were more prevalent in the networks.

CONCLUSIONS

PNs using audit and feedback do not appear to perform better than regular care in preventing hospitalizations due to ACSCs. However, they do perform better in disease prevention measures while showing inconclusive results for care coordination and pharmacotherapy. Further research is needed to understand effective collaboration among providers and its impact on the quality of care within PNs.

Factors influencing the occurrence of ambulatory care sensitive conditions in the emergency department - a single-center cross-sectional study

Background and importance

The differentiation between patients who require urgent care and those who could receive adequate care through ambulatory services remains a challenge in managing patient volumes in emergency departments (ED). Different approaches were pursued to characterize patients that could safely divert to ambulatory care. However, this characterization remains challenging as the urgency upon presentation is assessed based on immediately available characteristics of the patients rather than on subsequent diagnoses. This work employs a core set of Ambulatory Care Sensitive Conditions (core-ACSCs) in an ED to describe conditions that do not require inpatient care if treated adequately in the ambulatory care sector. It subsequently analyzes the corresponding triage levels and admission status to determine whether core-ACSCs relevantly contribute to patient volumes in an ED.

Settings and participants

Single center cross-sectional analysis of routine data of a tertiary ED in 2019.

Outcome measures and analysis

The proportion of core-ACSCs among all presentations was assessed. Triage levels were binarily classified as "urgent" and "non-urgent," and the distribution of core-ACSCs in both categories was studied. Additionally, the patients presenting with core-ACSCs requiring inpatient care were assessed based on adjusted residuals and logistic regression. The proportion being discharged home underwent further investigation.

Main results

This study analyzed 43,382 cases of which 10.79% (n = 4,683) fell under the definition of core-ACSC categories. 65.2% of all core-ACSCs were urgent and received inpatient care in 62.8% of the urgent cases. 34.8% of the core-ACSCs were categorized as non-urgent, 92.4% of wich were discharged home. Age, triage level and sex significantly affected the odds of requiring hospital admission after presenting with core-ACSCs. The two core-ACSCs that mainly contributed to non-urgent cases discharged home after the presentation were "back pain" and "soft tissue disorders."

Discussion

Core-ACSCs contribute relevantly to overall ED patient volume but cannot be considered the primary drivers of crowding. However, once patients presented to the ED with what was later confirmed as a core-ACSC, they required urgent care in 65.2%. This finding highlights the importance of effective ambulatory care to avoid emergency presentations. Additionally, the core-ACSC categories "back pain" and "soft tissue disorders" were often found to be non-urgent and discharged home. Although further research is required, these core-ACSCs could be considered potentially avoidable ED presentations.

Clinical trial registration

The study was registered in the German trials register (DRKS-ID: DRKS00029751) on 2022-07-22.

Cost-benefit analysis of the CoCare intervention to improve medical care in long-term care nursing homes: an analysis based on claims data

BACKGROUND

Providing adequate medical care to nursing home residents is challenging. Transfers to emergency departments are frequent, although often avoidable. We conducted the complex CoCare intervention with the aim to optimize nursing staff-physician collaboration to reduce avoidable hospital admissions and ambulance transportations, thereby reducing costs.

METHODS

This prospective, non-randomized study, based on German insurance data, includes residents in nursing homes. Health care cost from a payer perspective and cost-savings of such a complex intervention were investigated. The utilisation of services after implementation of the intervention was compared with services in previous quarters as well as services in the control group. To compensate for remaining differences in resident characteristics between intervention and control group, a propensity score was determined and adjusted for in the regression analyses.

RESULTS

The study population included 1240 residents in the intervention and 7552 in the control group. Total costs of medical services utilisation were reduced by €468.56 (p < 0.001) per resident and quarter in the intervention group. Hospital stays were reduced by 0.08 (p = 0.001) and patient transports by 0.19 (p = 0.049). This led to 1.66 (p < 0.001) avoided hospital days or €621.37 (p < 0.001) in costs-savings of inpatient services. More services were billed by general practitioners in the intervention group, which led to additional costs of €97.89 (p < 0.001).

CONCLUSION

The benefits of our intervention clearly exceed its costs. In the intervention group, avoided hospital admissions led to additional outpatient billing. This indicates that such a multifactorial intervention program can be cost-saving and improve medical care in long-term care homes.

Organization and quality of care in patient-sharing networks

Healthcare systems seek to provide continuous and coordinated care of high quality. However, patient pathways in the ambulatory sector may differ and result in various provider units. Our aim was to analyze whether health outcomes and the quality of care differ between different types of patient-sharing physician networks. We analyzed administrative data on patients with diagnosed heart failure in Germany. We investigated distinct networks of ambulatory physicians by using a modular-based optimization algorithm and characterized each network as having either a key physician at its center or some other kind of configuration. We subsequently conducted multilevel regression analyses to estimate the impact a network's configuration has on hospitalization rates and guideline-based process indicators. We identified 1,847 networks, of which 27% had a key physician at their center. Compared to physician networks with other configurations, networks that had a key physician at their center were associated in our regression analysis with (a) somewhat lower hospitalization rates, and (b) heart failure treatment that was more frequently in concordance with the German national treatment guideline. Organizing healthcare for people with chronic disease into units that have a key physician at their center and include the relevant specialists may foster treatment that is effective and of higher quality.

[Impact of CoCare, a Complex Model Intervention, on medical care in long-term care nursing homes in Germany: An overview of the outcome and process evaluation]

INTRODUCTION

More and more people are being cared for in nursing homes these days. Multimorbidity results in frequent but sometimes unnecessary patient transports and hospitalisations. The CoCare intervention was developed as a nursing home-based intervention to improve coordination of medical care and GP and specialist care in long-term care homes. The project aimed to reduce avoidable hospital admissions and ambulance transportation, minimise costs through the resulting better collaboration and improving the quality of life of nursing home residents. This article presents the results of the process and outcome evaluation of the intervention in an integrated way and assesses them against the background of the project objectives.

METHODS

Intervention and data collection started in January 2018 and ended in September 2020. A mixed-methods design was chosen for the evaluation. The (cost) effectiveness of the intervention was tested by a controlled observational study, comparing intervention (IG) and control group (CG). As part of the evaluation of the results, claims data from health insurance funds and a questionnaire-based survey among nursing staff, physicians and nursing home residents were analysed. As part of the process evaluation, subjectively perceived changes in care and implementation difficulties were recorded with the help of focus groups and telephone interviews conducted quarterly.

RESULTS

From the point of view of the health economic evaluation, with a decrease in total costs of € 468.56 (p<.001) per nursing home resident and quarter, an advantageous cost-benefit ratio can be assumed. Thus, the significant increase in outpatient care for nursing home residents goes along with a reduction of ambulance transportation by 0.19 (p=.049) and hospitalization rates by 0.08 (p=.001). In the nursing staff sample, a significant positive difference between IG (T1) and CG was observed with regard to communication and cooperation. In addition, pre-post comparison showed a significant improvement in the nursing staff's assessment of interprofessional cooperation in IG at T1 compared to T0. Both nursing staff and physicians perceived positive changes in care and positively assessed the benefit of the intervention. While practitioners experienced an intensification and improvement of communication and cooperation through the implementation of the CoCare measures, these changes were not perceived by residents.

DISCUSSION

The CoCare intervention lowered the barriers for nursing homes to contact general practitioners, specifically in unclear situations and can thus be seen as an effective tool to reduce potentially avoidable hospital admissions and costs. It is conceivable that results can be transferred to other regions in Germany and to similar care scenarios. It should be examined to what extent approaches of this new form of care can be transferred to standard care and whether adjustments to facilitate the implementation of coordinated care approaches across occupational groups in inpatient care facilities can be proposed within the framework of legislative procedures.

Impact of Pneumonia on Cognitive Aging: A Longitudinal Propensity-Matched Cohort Study

BACKGROUND

Acute clinical events, such as pneumonia, may impact physical functionality but their effect on cognition and the possible duration of this effect remains to be quantified. This study investigated the impact of pneumonia on cognitive trajectories and dementia development in older people.

METHODS

Data were obtained from 60+ years old individuals, who were assessed from 2001 to 2018 in the population-based SNAC-K study (Sweden). Participants were eligible if they were not institutionalized, had no dementia, and did not experience pneumonia 5 years prior to baseline (N = 2 063). A propensity score was derived to match 1:3 participants hospitalized with a diagnosis of pneumonia (N = 178), to nonexposed participants (N = 534). Mixed linear models were used to model cognitive decline. The hazard of dementia, clinically diagnosed by physicians following Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV, was estimated using Cox regression models.

RESULTS

We found a transient impact of pneumonia on cognitive decline in the first 2.5 years (B = -0.94, 95% confidence interval [CI] -1.75, -0.15). The hazard ratio (HR) for dementia was not statistically significantly increased in pneumonia participants (HR = 1.17, 95%CI 0.82, 1.66).

CONCLUSIONS

The transient impact of pneumonia on cognitive function suggests an increased need of health care for patients after a pneumonia-related hospitalization and reinforces the relevance of pneumonia prevention.

Hospital-associated disability due to avoidable hospitalizations among older adults

BACKGROUND

Hospital-associated disability (HAD) is a common complication during the course of acute care hospitalizations in older adults. Many admissions are for ambulatory care sensitive conditions (ACSCs), considered potentially avoidable hospitalizations-conditions that might be treated in outpatient settings to prevent hospitalization and HAD. We compared the incidence of HAD between older adults hospitalized for ACSCs versus those hospitalized for other diagnoses.

METHODS

We conducted a retrospective cohort study in inpatient (non-ICU) medical and surgical units of a large southeastern regional academic medical center. Participants were 38,960 older adults ≥ 65 years of age admitted from January 1, 2015, to December 31, 2019. The primary outcome was HAD, defined as decline on the Katz Activities of Daily Living (ADL) scale from hospital admission to discharge. We used generalized linear mixed models to examine differences in HAD between hospitalizations with a primary diagnosis for an ACSC using standard definitions versus primary diagnosis for other conditions, adjusting for covariates and repeated observations for individuals with multiple hospitalizations.

RESULTS

We found that 10% of older adults were admitted for an ACSC, with rates of HAD in those admitted for ACSCs lower than those admitted for other conditions (16% vs. 20.7%, p < 0.001). Age, comorbidity, admission functional status, and admission cognitive impairment were significant predictors for development of HAD. ACSC admissions to medical and medical/surgical services had lower odds of HAD compared with admissions for other conditions, with no significant differences between ACSC and non-ACSC admissions to surgical services.

CONCLUSIONS

Rates of HAD among older adults hospitalized for ACSCs are substantial, though lower than rates of HAD with hospitalization for other conditions, reflecting that acute care hospitalization is not a benign event in this population. Treatment of ACSCs in the outpatient setting could be an important component of efforts to reduce HAD.

Global prevalence of hospital admissions for low back pain: a systematic review with meta-analysis

OBJECTIVES

To determine the proportion of low back pain presentations that are admitted to hospital from the emergency department (ED), the proportion of hospital admissions due to a primary diagnosis of low back pain and the mean hospital length of stay (LOS), globally.

METHODS

We searched MEDLINE, CINAHL, EMBASE, Web of Science, PsycINFO and LILACS from inception to July 2022. Secondary data were retrieved from publicly available government agency publications and international databases. Studies investigating admitted patients aged >18 years with a primary diagnosis of musculoskeletal low back pain and/or lumbosacral radicular pain were included.

RESULTS

There was high heterogeneity in admission rates for low back pain from the ED, with a median of 9.6% (IQR 3.3-25.2; 9 countries). The median percentage of all hospital admissions that were due to low back pain was 0.9% (IQR 0.6-1.5; 30 countries). The median hospital LOS across 39 countries was 6.2 days for 'dorsalgia' (IQR 4.4-8.6) and 5.4 days for 'intervertebral disc disorders' (IQR 4.1-8.4). Low back pain admissions per 100 000 population had a median of 159.1 (IQR 82.6-313.8). The overall quality of the evidence was moderate.

CONCLUSION

This is the first systematic review with meta-analysis summarising the global prevalence of hospital admissions and hospital LOS for low back pain. There was relatively sparse data from rural and regional regions and low-income countries, as well as high heterogeneity in the results.

German Health Update Fokus (GEDA Fokus) among Residents with Croatian, Italian, Polish, Syrian, or Turkish Citizenship in Germany: Protocol for a Multilingual Mixed-Mode Interview Survey

BACKGROUND

Germany has a long history of migration. In 2020, more than 1 person in every 4 people had a statistically defined, so-called migration background in Germany, meaning that the person or at least one of their parents was born with a citizenship other than German citizenship. People with a history of migration are not represented proportionately to the population within public health monitoring at the Robert Koch Institute, thus impeding differentiated analyses of migration and health. To develop strategies for improving the inclusion of people with a history of migration in health surveys, we conducted a feasibility study in 2018. The lessons learned were implemented in the health interview survey German Health Update (Gesundheit in Deutschland aktuell [GEDA]) Fokus, which was conducted among people with selected citizenships representing the major migrant groups in Germany.

OBJECTIVE

GEDA Fokus aimed to collect comprehensive data on the health status and social, migration-related, and structural factors among people with selected citizenships to enable differentiated explanations of the associations between migration-related aspects and their impact on migrant health.

METHODS

GEDA Fokus is an interview survey among people with Croatian, Italian, Polish, Syrian, or Turkish citizenship living in Germany aged 18-79 years, with a targeted sample size of 1200 participants per group. The gross sample of 33,436 people was drawn from the residents' registration offices of 99 German municipalities based on citizenship. Sequentially, multiple modes of administration were offered. The questionnaire was available for self-administration (web-based and paper-based); in larger municipalities, personal or phone interviews were possible later on. Study documents and the questionnaire were bilingual-in German and the respective translation language depending on the citizenship. Data were collected from November 2021 to May 2022.

RESULTS

Overall, 6038 respondents participated in the survey, of whom 2983 (49.4%) were female. The median age was 39 years; the median duration of residence in Germany was 10 years, with 19.69% (1189/6038) of the sample being born in Germany. The overall response rate was 18.4% (American Association for Public Opinion Research [AAPOR] response rate 1) and was 6.8% higher in the municipalities where personal interviews were offered (19.3% vs 12.5%). Overall, 78.12% (4717/6038) of the participants self-administered the questionnaire, whereas 21.88% (1321/6038) took part in personal interviews. In total, 41.85% (2527/6038) of the participants answered the questionnaire in the German language only, 16.69% (1008/6038) exclusively used the translation.

CONCLUSIONS

Offering different modes of administration, as well as multiple study languages, enabled us to recruit a heterogeneous sample of people with a history of migration. The data collected will allow differentiated analyses of the role and interplay of migration-related and social determinants of health and their impact on the health status of people with selected citizenships.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/43503.

The Contribution of Intersectoral Healthcare Centres with an Extended Outpatient Care Model to Improve Regional Care-Structures-A Qualitative Study

Many smaller hospitals in Germany are currently threatened with closure due to economic reasons and politically derived centralization. In some-especially rural areas-this may result in a lack of accessible local care structures. At the same time, patients are unnecessarily admitted to hospitals due to insufficient primary care structures and healthcare coordination. Intersectoral health centers (IHC), as new intermediary structures, may offer round-the-clock monitoring (Extended Outpatient Care, EOC), with fewer infrastructure needs than hospitals and, thus, could offer a sustainable solution. In an iterative process, 30 expert interviews (with physicians, nurses and other healthcare experts) formed the basis for the derivation of diagnostic groups, relevant related patient characteristics and scenarios, as well as structural preconditions necessary for safe care in the setting of the new model of IHC/EOC. Additionally, three workshops within the multidisciplinary research team (including healthcare services researchers, GPs, and health economists) were performed. Inductive categories on disease-, case-, sociodemographic- and infrastructure-related criteria were derived following thematic analysis. Due to the expert interviews, general practice equipment plus continuous monitoring beds should form the basic infrastructure for EOCs, which should be adjusted to local needs and infrastructure demands. GPs could be aided through (electronic) support by other specialists. IHC, as a physician-led facility, should rely on experienced nurses to allow for 24-h services and to support integrated team-based primary care with GPs. Alongside nurses, case managers, therapists and social workers can be included in the structure, allowing for improved integration of (primary) care services. In order to sustain low-threshold, local access to care, especially in rural areas, IHC with extended monitoring and integration of coordinative support, emerged as a promising solution that could solve many common patient needs without the need for hospital-based inpatient care.

Big Data Analytics to Reduce Preventable Hospitalizations-Using Real-World Data to Predict Ambulatory Care-Sensitive Conditions

The purpose of this study was to develop a prediction model to identify individuals and populations with a high risk of being hospitalized due to an ambulatory care-sensitive condition who might benefit from preventative actions or tailored treatment options to avoid subsequent hospital admission. A rate of 4.8% of all individuals observed had an ambulatory care-sensitive hospitalization in 2019 and 6389.3 hospital cases per 100,000 individuals could be observed. Based on real-world claims data, the predictive performance was compared between a machine learning model (Random Forest) and a statistical logistic regression model. One result was that both models achieve a generally comparable performance with c-values above 0.75, whereas the Random Forest model reached slightly higher c-values. The prediction models developed in this study reached c-values comparable to existing study results of prediction models for (avoidable) hospitalization from the literature. The prediction models were designed in such a way that they can support integrated care or public and population health interventions with little effort with an additional risk assessment tool in the case of availability of claims data. For the regions analyzed, the logistic regression revealed that switching to a higher age class or to a higher level of long-term care and unit from prior hospitalizations (all-cause and due to an ambulatory care-sensitive condition) increases the odds of having an ambulatory care-sensitive hospitalization in the upcoming year. This is also true for patients with prior diagnoses from the diagnosis groups of maternal disorders related to pregnancy, mental disorders due to alcohol/opioids, alcoholic liver disease and certain diseases of the circulatory system. Further model refinement activities and the integration of additional data, such as behavioral, social or environmental data would improve both model performance and the individual risk scores. The implementation of risk scores identifying populations potentially benefitting from public health and population health activities would be the next step to enable an evaluation of whether ambulatory care-sensitive hospitalizations can be prevented.

[Nursing home-sensitive conditions and approaches to reduce hospitalization of nursing home residents]

BACKGROUND

Interventions to reduce potentially risky hospitalizations among nursing home residents are highly relevant for patient safety and quality improvement. A catalog of nursing home-sensitive conditions (NHSCs) grounds the policy recommendations and interventions.

METHODS

In two previous research phases, an expert panel developed a catalog of 58 NHSCs using an adapted Delphi-procedure (the RAND/UCLA Appropriateness Method). This procedure was developed by the North American non-profit Research and Development Organisation (RAND) and clinicians of the University of California in Los Angeles (UCLA). We present the third phase of the project focused on the development of interventions to reduce NHSCs starting with an expert workshop. The workshop results were then evaluated by six experts from related sectors, supplemented, and systematically used to produce recommendations for action. Possible implementation obstacles were considered and the time horizon of effectiveness was estimated.

RESULTS

The recommendations address communication, cooperation, documentation and care competence as well as facility-related, financial, and legal aspects. Indication bundles demonstrate the relevance for the German healthcare system. To increase effectiveness, the experts advise a meaningful combination of individual recommendations.

DISCUSSION

By optimizing multidisciplinary communication and cooperation, combined with an- also digital - expansion of the infrastructure and the creation of institution-specific and legal prerequisites as well as remuneration structures, an estimated 35% of all hospitalizations, approximately 220,000 hospitalizations for Germany, could be prevented. The implementation expenditure could be refinanced by avoided hospitalization savings amounting to 768 million euros.

[Reasons for hospitalization of people with dementia-A scoping review]

BACKGROUND

Hospitalization represents a high burden for people with dementia, which can accelerate the decline of cognitive and motor skills. Behavioral changes and orientation problems may be increased in people with dementia during hospitalization. Some hospitalizations are potentially preventable by improved outpatient care.

OBJECTIVE

To provide an up to date overview of the most common reasons for hospitalization of people with dementia or mild cognitive impairment.

MATERIAL AND METHODS

A systematic literature search was conducted in the databases PubMed®, CINAHL and PsycINFO® in May 2020 to conduct the scoping review. Studies in German and English published between July 2010 and May 2020 were included.

RESULTS

The most common reasons for hospitalization, which were named in the 14 included studies, were infectious diseases, especially respiratory infections and urinary tract infections, cardiovascular diseases (in general or specific, e.g. heart failure) and injuries, poisoning, fractures and falls, and gastrointestinal diseases.

CONCLUSION

Most of the most common reasons for hospitalization are ambulatory care-sensitive hospital cases. Strengthening outpatient care for people with dementia may help prevent hospitalizations.

Telemedicine in nursing homes: Insights on the social acceptance and ethical acceptability of telemedical consultations

Introduction

The increasing number of older adults in need of care, the resulting rise in demand for care services and the shortage of nursing staff are major challenges for society. In these situations, the use of telemedicine seems promising - especially in nursing homes when the focus is on rapid support in acute medical cases. However, in addition to the medical and technical potential, the acceptability and usability of the use of telemedical consultations are crucial for a sustainable implementation and acceptance. Our research aims at a holistic identification of socially and ethically relevant parameters for the evaluation of telemedical consultations in nursing homes.

Methods

Presentation of the empirical approach of an interdisciplinary cooperation that combines social and ethical research perspectives during an entire research project. Qualitative analysis of social and ethical aspects based on an interview study with care personnel (N = 14) who have experiences with telemedical consultations in nursing homes, as an example of this interdisciplinary collaboration and to show first insights.

Results

The results of the interview study show a slightly positive evaluation of the use of telemedical consultations in nursing homes. Six main categories were identified to capture and differentiate ethically and socially relevant perceived benefits and barriers (contact with physicians, general, personnel-related, residents-related, technical, and organizational aspects).

Conclusion

The study results allow initial recommendations for the implementation of telemedicine consultations in nursing homes considering socially and ethically relevant aspects. These recommendations can be used to inform medical and technical experts in the field of telemedicine. In addition, the presentation of the interdisciplinary collaboration shows that the close integration of social and ethical aspects in research enables a holistic dimension of the use of telemedicine.

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.

Optimal@NRW: optimized acute care of nursing home residents using an intersectoral telemedical cooperation network - study protocol for a stepped-wedge trial

Background

Increasing life expectancy is associated with a growing number of people living in nursing homes, while the availability of outpatient medical care, especially from family doctors, is stagnating in this sector. Consequently, numerous and often avoidable, low-threshold hospitalizations of nursing home residents are observed. This results in unnecessary use of resources such as emergency services and emergency rooms as well as in potential health risks to the nursing home residents related to hospitalization. This study aims to improve this healthcare gap by implementing an intersectoral telemedicine approach.

Methods

Twenty-five nursing homes are participating and provided with telemedical equipment to perform teleconsultations. Additionally, an early warning system and a digital patient record system are implemented. Telephysicians based at RWTH Aachen University Hospital are ready to support the nursing homes around the clock if the family doctor or an emergency service practice is not available in time. Mobile non-physician practice assistants from the telemedicine centre can be dispatched to perform delegable medical activities. General practitioners and the medical emergency practices also have access to the telemedical infrastructure and the non-physician practice assistants.

Discussion

Optimal@NRW adds a telemedicine component to standard care — combining elements of outpatient and inpatient health care as well as emergency service practices — to enable timely medical consultation for nursing home residents in case of the development of an acute medical condition. In addition to optimized medical care, the goal is to reduce unnecessary hospital admissions. The intersectoral approach allows for the appropriate use of resources to match the individually needed medical treatment.

Trial registration

ClinicalTrials.govNCT04879537. Registered on May 10, 2021

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-022-06613-1.

Realist analysis of whether emergency departments with primary care services generate 'provider-induced demand'

Background

It is not known whether emergency departments (EDs) with primary care services influence demand for non-urgent care (‘provider-induced demand’). We proposed that distinct primary care services in EDs encourages primary care demand, whereas primary care integrated within EDs may be less likely to cause additional demand. We aimed to explore this and explain contexts (C), mechanisms (M) and outcomes (O) influencing demand.

Methods

We used realist evaluation methodology and observed ED service delivery. Twenty-four patients and 106 staff members (including Clinical Directors and General Practitioners) were interviewed at 13 EDs in England and Wales (240 hours of observations across 30 days). Field notes from observations and interviews were analysed by creating ‘CMO’ configurations to develop and refine theories relating to drivers of demand.

Results

EDs with distinct primary care services were perceived to attract demand for primary care because services were visible, known or enabled direct access to health care services. Other influencing factors included patients’ experiences of accessing primary care, community care capacity, service design and population characteristics.

Conclusions

Patient, local-system and wider-system factors can contribute to additional demand at EDs that include primary care services. Our findings can inform service providers and policymakers in developing strategies to limit the effect of potential influences on additional demand when demand exceeds capacity.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12873-022-00709-2.

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.

Interventions to Prevent Potentially Avoidable Hospitalizations: A Mixed Methods Systematic Review

Background

The demand for healthcare is increasing due to an aging population, more people living with chronic diseases and medical comorbidities. To manage this demand, political institutions call for action to reduce the potentially avoidable hospitalizations. Quantitative and qualitative aspects should be considered to understand how and why interventions work, and for whom. The aim of this mixed methods systematic review was to identify and synthesize evidence on interventions targeting avoidable hospitalizations from the perspectives of the citizens and the healthcare professionals to improve the preventive healthcare services.

Methods and Results

A mixed methods systematic review was conducted following the JBI methodology using a convergent integrated approach to synthesis. The review protocol was registered in PROSPERO, reg. no. CRD42020134652. A systematic search was undertaken in six databases. In total, 45 articles matched the eligibility criteria, and 25 of these (five qualitative studies and 20 quantitative studies) were found to be of acceptable methodological quality. From the 25 articles, 99 meaning units were extracted. The combined evidence revealed four categories, which were synthesized into two integrated findings: (1) Addressing individual needs through care continuity and coordination prevent avoidable hospitalizations and (2) Recognizing preventive care as an integrated part of the healthcare work to prevent avoidable hospitalizations.

Conclusions

The syntheses highlight the importance of addressing individual needs through continuous and coordinated care practices to prevent avoidable hospitalizations. Engaging healthcare professionals in preventive care work and considering implications for patient safety may be given higher priority. Healthcare administers and policy-makers could support the delivery of preventive care through targeted educational material aimed at healthcare professionals and simple web-based IT platforms for information-sharing across healthcare settings. The findings are an important resource in the development and implementation of interventions to prevent avoidable hospitalizations, and may serve to improve patient safety and quality in preventive healthcare services.

Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=134652, identifier: CRD42020134652.

Algorithms Identifying Low Acuity Emergency Department Visits: A Review and Validation Study

OBJECTIVE

To characterize and validate the landscape of algorithms that use International Classification of Disease (ICD) codes to identify low acuity emergency department (ED) visits.

DATA SOURCES

Publicly available ED data from the National Hospital Ambulatory Medical Care Survey (NHAMCS).

STUDY DESIGN

We systematically searched for studies that specify algorithms consisting of ICD codes that identify preventable or low acuity ED visits. We classified ED visits in NHAMCS according to these algorithms and compared agreement using the Jaccard index. We then evaluated the performance of each algorithm using positive predictive value (PPV) and sensitivity, with the reference group specified using low acuity composite (LAC) criteria consisting of both triage and clinical components. In sensitivity analyses, we repeated our primary analysis using only triage or only clinical criteria for reference.

DATA COLLECTION

We used 2011-2017 NHAMCS data, totaling 163,576 observations before survey weighting and after dropping observations missing a primary diagnosis. We translated ICD-9 codes (years 2011-2015) to ICD-10 using a standard crosswalk.

PRINCIPAL FINDINGS

We identified 15 papers with an original list of ICD codes used to identify preventable or low acuity ED presentations. These papers were published between 1992 and 2020, cited an average of 310 (SD 360) times, and included 968 (SD 1175) codes. Pairwise Jaccard similarity indices (0 = no overlap, 1 = perfect congruence) ranged from 0.01 to 0.82, with mean 0.20 (SD 0.13). When validated against the LAC reference group, the algorithms had an average PPV of 0.308 (95% CI [0.253, 0.364]) and sensitivity of 0.183 (95% CI [0.111, 0.256]). Overall, 2.1% of visits identified as low acuity by the algorithms died prehospital or in the ED, or needed surgery, critical care, or cardiac catheterization.

CONCLUSIONS

Existing algorithms that identify low acuity ED visits lack congruence and are imperfect predictors of visit acuity.

Using social network analysis methods to identify networks of physicians responsible for the care of specific patient populations

BACKGROUND

Coordinating health care within and among sectors is crucial to improving quality of care and avoiding undesirable negative health outcomes, such as avoidable hospitalizations. Quality circles are one approach to strengthening collaboration among health care providers and improving the continuity of care. However, identifying and including the right health professionals in such meetings is challenging, especially in settings with no predefined patient pathways. Based on the Accountable Care in Germany (ACD) project, our study presents a framework for and investigates the feasibility of applying social network analysis (SNA) to routine data in order to identify networks of ambulatory physicians who can be considered responsible for the care of specific patients.

METHODS

The ACD study objectives predefined the characteristics of the networks. SNA provides a methodology to identify physicians who have patients in common and ensure that they are involved in health care provision. An expert panel consisting of physicians, health services researchers, and data specialists examined the concept of network construction through informed decisions. The procedure was structured by five steps and was applied to routine data from three German states.

RESULTS

In total, 510 networks of ambulatory physicians met our predefined inclusion criteria. The networks had between 20 and 120 physicians, and 72% included at least ten different medical specialties. Overall, general practitioners accounted for the largest proportion of physicians in the networks (45%), followed by gynecologists (10%), orthopedists, and ophthalmologists (5%). The specialties were distributed similarly across the majority of networks. The number of patients this study allocated to the networks varied between 95 and 45,268 depending on the number and specialization of physicians per network.

CONCLUSIONS

The networks were constructed according to the predefined characteristics following the ACD study objectives, e.g., size of and specialization composition in the networks. This study shows that it is feasible to apply SNA to routine data in order to identify groups of ambulatory physicians who are involved in the treatment of a specific patient population. Whether these doctors are also mainly responsible for care and if their active collaboration can improve the quality of care still needs to be examined.

Nursing home-sensitive conditions: analysis of routine health insurance data and modified Delphi analysis of potentially avoidable hospitalizations

Background: Hospitalizations of nursing home residents are associated with various health risks. Previous research indicates that, to some extent, hospitalizations of this vulnerable population may be inappropriate and even avoidable. This study aimed to develop a consensus list of hospital discharge diagnoses considered to be nursing home-sensitive, i.e., avoidable. Methods: The study combined analyses of routine data from six statutory health insurance companies in Germany and a two-stage Delphi panel, enhanced by expert workshop discussions, to identify and corroborate relevant diagnoses. Experts from four different disciplines estimated the proportion of hospitalizations that could potentially have been prevented under optimal conditions.   Results: We analyzed frequencies and costs of data for hospital admissions from 242,236 nursing home residents provided by statutory health insurance companies. We identified 117 hospital discharge diagnoses, which had a frequency of at least 0.1%. We recruited experts (primary care physicians, hospital specialists, nursing home professionals and researchers) to estimate the proportion of potentially avoidable hospitalizations for the 117 diagnoses deemed avoidable in two Delphi rounds (n=107 in Delphi Round 1 and n=96 in Delphi Round 2, effective response rate=91%). A total of 35 diagnoses with high and consistent estimates of the proportion of potentially avoidable hospitalizations were identified as nursing home-sensitive. In an expert workshop (n=16), a further 25 diagnoses were discussed that had not reached the criteria, of which another 23 were consented to be nursing home-sensitive conditions. Extrapolating the frequency and mean costs of these 58 diagnoses to the national German context yielded total potentially avoidable care costs of €768,304,547, associated with 219,955 nursing home-sensitive hospital admissions. Conclusion: A total of 58 nursing home-relevant diagnoses (ICD-10-GM three-digit level) were classified as nursing home-sensitive using an adapted Delphi procedure. Interventions should be developed to avoid hospital admission from nursing homes for these diagnoses.

Unseen patterns of preventable emergency care: Emergency department visits for ambulatory care sensitive conditions

Objective

Admissions for ambulatory care sensitive conditions (ACSCs) are often used to measure potentially preventable emergency care. Visits to emergency departments with ACSCs may also be preventable care but are excluded from such measures if patients are not admitted. We established the extent and composition of this preventable emergency care.

Methods

We analysed 1,505,979 emergency department visits (5% of the national total) between 1 April 2015 and 31 March 2017 at six hospital Trusts in England, using International Classification of Diseases diagnostic coding. We calculated the number of visits for each ACSC and examined the proportions of these visits that did not result in admission by condition and patient characteristics.

Results

11.1% of emergency department visits were for ACSCs. 55.0% of these visits did not result in hospital admission. Whilst the majority of ACSC visits were for acute rather than chronic conditions (59.4% versus 38.4%), acute visits were much more likely to conclude without admission (70.3% versus 33.4%). Younger, more deprived and ethnic minority patients were less likely to be admitted when they visited the emergency department with an ACSC.

Conclusions

Over half of preventable emergency care is not captured by measures of admissions. The probability of admission at a preventable visit varies substantially between conditions and patient groups. Focussing only on admissions for ACSCs provides an incomplete and skewed picture of the types of conditions and patients receiving preventable care. Measures of preventable emergency care should include visits in addition to admissions.

Inequalities in access to healthcare by local policy model among newly arrived refugees: evidence from population-based studies in two German states

Background

Access to healthcare is restricted for newly arriving asylum seekers and refugees (ASR) in many receiving countries, which may lead to inequalities in health. In Germany, regular access and full entitlement to healthcare (equivalent to statutory health insurance, SHI) is only granted after a waiting time of 18 months. During this time of restricted entitlements, local authorities implement different access models to regulate asylum seekers’ access to healthcare: the electronic health card (EHC) or the healthcare voucher (HV). This paper examines inequalities in access to healthcare by comparing healthcare utilization by ASR under the terms of different local models (i.e., regular access equivalent to SHI, EHC, and HV).

Methods

We used data from three population-based, cross-sectional surveys among newly arrived ASR (N=863) and analyzed six outcome measures: specialist and general practitioner (GP) utilization, unmet needs for specialist and GP services, emergency department use and avoidable hospitalization. Using logistic regression, we calculated odds ratios (OR) and 95% confidence intervals for all outcome measures, while considering need by adjusting for socio-demographic characteristics and health-related covariates.

Results

Compared to ASR with regular access, ASR under the HV model showed lower needs-adjusted odds of specialist utilization (OR=0.41 [0.24-0.66]) while ASR under the EHC model did not differ from ASR with regular access in any of the outcomes. The comparison between EHC and HV model showed higher odds for specialist utilization under the EHC model as compared to the HV model (OR=2.39 [1.03-5.52]). GP and emergency department utilization, unmet needs and avoidable hospitalization did not show significant differences in any of the fully adjusted models.

Conclusion

ASR using the HV are disadvantaged in their access to healthcare compared to ASR having either an EHC or regular access. Given equal need, they use specialist services less. The identified inequalities constitute inequities in access to healthcare that could be reduced by policy change from HV to the EHC model during the initial 18 months waiting time, or by granting ASR regular healthcare access upon arrival. Potential patterns of differences in GP utilization, unmet needs, emergency department use and avoidable hospitalization between the models deserve further exploration in future studies.

Patients' experiences of attending emergency departments where primary care services are located: qualitative findings from patient and clinician interviews from a realist evaluation

BACKGROUND

Patient experience is an important outcome and indicator of healthcare quality, and patient reported experiences are key to improving quality of care. While patient experience in emergency departments (EDs) has been reported in research, there is limited evidence about patients' specific experiences with primary care services located in or alongside EDs. We aim to identify theories about patient experience and acceptability of being streamed to a primary care clinician in an ED.

METHODS

Using theories from a rapid realist review as a basis, we interviewed 24 patients and 106 staff members to generate updated theories about patient experience and acceptability of streaming to primary care services in EDs. Feedback from 56 stakeholders, including clinicians, policymakers and patient and public members, as well as observations at 13 EDs, also contributed to the development of these theories, which we present as a programme theory.

RESULTS

We found that patients had no expectations or preferences for which type of clinician they were seen by, and generally found being streamed to a primary care clinician in the ED acceptable. Clinicians and patients reported that patients generally found primary care streaming acceptable if they felt their complaint was dealt with suitably, in a timely manner, and when clinicians clearly communicated the need for investigations, and how these contributed to decision-making and treatment plans.

CONCLUSIONS

From our findings, we have developed a programme theory to demonstrate that service providers can expect that patients will be generally satisfied with their experience of being streamed to, and seen by, primary care clinicians working in these services. Service providers should consider the potential advantages and disadvantages of implementing primary care services at their ED. If primary care services are implemented, clear communication is needed between staff and patients, and patient feedback should be sought.

Nursing home-sensitive conditions: analysis of routine health insurance data and modified Delphi analysis of potentially avoidable hospitalizations

Background: Hospitalizations of nursing home residents are associated with various health risks. Previous research indicates that, to some extent, hospitalizations of this vulnerable population may be inappropriate and even avoidable. This study aimed to develop a consensus list of hospital discharge diagnoses considered to be nursing home-sensitive, i.e., avoidable. Methods: The study combined analyses of routine data from six statutory health insurance companies in Germany and a two-stage Delphi panel, enhanced by expert workshop discussions, to identify and corroborate relevant diagnoses. Experts from four different disciplines estimated the proportion of hospitalizations that could potentially have been prevented under optimal conditions.  Results: We analyzed frequencies and costs of data for hospital admissions from 242,236 nursing home residents provided by statutory health insurance companies. We identified 117 hospital discharge diagnoses, which had a frequency of at least 0.1%. We recruited experts (primary care physicians, hospital specialists, nursing home professionals and researchers) to estimate the proportion of potentially avoidable hospitalizations for the 117 diagnoses deemed avoidable in two Delphi rounds (n=107 in Delphi Round 1 and n=96 in Delphi Round 2, effective response rate=91%). A total of 35 diagnoses with high and consistent estimates of the proportion of potentially avoidable hospitalizations were identified as nursing home-sensitive. In an expert workshop (n=16), a further 25 diagnoses were discussed that had not reached the criteria, of which another 23 were consented to be nursing home-sensitive conditions. Extrapolating the frequency and mean costs of these 58 diagnoses to the national German context yielded total potentially avoidable care costs of €768,304,547, associated with 219,955 nursing home-sensitive hospital admissions. Conclusion: A total of 58 nursing home-relevant diagnoses (ICD-10-GM three-digit level) were classified as nursing home-sensitive using an adapted Delphi procedure. Interventions should be developed to avoid hospital admission from nursing homes for these diagnoses.

Hospitalization for ambulatory care sensitive conditions: What conditions make inter-country comparisons possible?

Hospitalizations for ambulatory care sensitive conditions have been extensively used in health services research to assess access, quality and performance of primary health care. Inter-country comparisons can assist policy-makers in pursuing better health outcomes by contrasting policy design, implementation and evaluation. The objective of this study is to identify the conceptual, methodological, contextual and policy dimensions and factors that need to be accounted for when comparing these types of hospitalizations across countries. A conceptual framework for inter-country comparisons was drawn based on a review of 18 studies with inter-country comparison of ambulatory care sensitive conditions hospitalizations. The dimensions include methodological choices; population's demographic, epidemiologic and socio-economic profiles and features of the health services and system. Main factors include access and quality of primary health care, availability of health workforce and health facilities, health interventions and inequalities. The proposed framework can assist in designing studies and interpreting findings of inter-country comparisons of ambulatory care sensitive conditions hospitalizations, accelerating learning and progress towards universal health coverage.

Indicators for Public Mental Health: A Scoping Review

Background: To monitor population mental health, the identification of relevant indicators is pivotal. This scoping review provides a comprehensive overview of current indicators representing the various fields of public mental health core topics. It was conducted as a first step to build up a Mental Health Surveillance for Germany. Methods: We conducted a systematic MEDLINE search via PubMed. This search was supplemented by an extensive examination of the websites of relevant national as well as international institutions in the context of public mental health and an additional internet search via Google. To structure the data, an expert-based focus group identified superordinate topics most relevant to public mental health to which the identified indicators could be assigned to. Finally, the indicator set was screened for duplicates and appropriate content to arrive at a final set. Results: Within the various search strategies, we identified 13.811 records. Of these records, a total of 365 records were processed for indicator extraction. The extracted indicators were then assigned to 14 topics most relevant to public mental health as identified by the expert-based focus group. After the exclusion of duplicates and those indicators not meeting criteria of specificity and target group, the final set consisted of 192 indicators. Conclusion: The presented indicator set provides guidance in the field of current concepts in public mental health monitoring. As a comprehensive compilation, it may serve as basis for future surveillance efforts, which can be adjusted and condensed depending on the particular monitoring focus. Our work provides insights into established indicators included in former surveillance work as well as recent, not yet included indicators reflecting current developments in the field. Since our compilation mainly concludes indicators related to mental health in adults, it should be complemented with indicators specific to children and adolescents. Furthermore, our review revealed that indicators on mental health promotion and prevention are underrepresented in current literature of public mental health and should hence be focused on within future research and surveillance.

Improving the continuity and coordination of ambulatory care through feedback and facilitated dialogue-a study protocol for a cluster-randomised trial to evaluate the ACD study (Accountable Care in Germany)

Background

Patients in Germany are free to seek care from any office-based physician and can always ask for multiple opinions on a diagnosis or treatment. The high density of physicians and the freedom to choose among them without referrals have led to a need for better coordination between the multiple health professionals treating any given patient. The objectives of this study are to (1) identify informal networks of physicians who treat the same patient population, (2) provide these physicians with feedback on their network and patients, using routine data and (3) give the physicians the opportunity to meet one another in facilitated network meetings.

Methods

The Accountable Care Deutschland (ACD) study is a prospective, non-blinded, cluster-randomised trial comprising a process and economic evaluation of informal networks among 12,525 GPs and office-based specialists and their 1.9 million patients. The units of allocation are the informal networks, which will be randomised either to the intervention (feedback and facilitated meetings) or control group (usual care). The informal networks will be generated by identifying connections between office-based physicians using complete datasets from the Regional Associations of Statutory Health Insurance (SHI) Physicians in Hamburg, Schleswig Holstein, North Rhine and Westphalia Lip, as well as data from three large statutory health insurers in Germany. The physicians will (a) receive feedback on selected indicators of their own treatment activity and that of the colleagues in their network and (b) will be invited to voluntary, facilitated network meetings by their Regional Association of SHI physicians. The primary outcome will be ambulatory-care-sensitive hospitalisations at baseline, at the end of the 2-year intervention period, and at six months and at 12 months after the end of the intervention period. Data will be analysed using the intention-to-treat principle. A pilot study preceded the ACD study.

Discussion

Cochrane reviews show that feedback can improve everyday medical practice by shedding light on previously unknown relationships. Providing physicians with information on how they are connected with their colleagues and what the outcomes are of care delivered within their informal networks can help them make these improvements, as well as strengthen their awareness of possible discontinuities in the care they provide.

Trial registration

German Clinical Trials Register DRKS00020884. Registered on 25 March 2020—retrospectively registered.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-021-05584-z.

Regional variation of potentially avoidable hospitalisations in Switzerland: an observational study

Background

Primary health care is subject to regional variation, which may be due to unequal and inefficient distribution of services. One key measure of such variation are potentially avoidable hospitalisations, i.e., hospitalisations for conditions that could have been dealt with in situ by sufficient primary health care provision. Particularly, potentially avoidable hospitalisations for ambulatory care-sensitive conditions (ACSCs) are a substantial and growing burden for health care systems that require targeting in health care policy.

Aims

Using data from the Swiss Federal Statistical Office (SFSO) from 2017, we applied small area analysis to visualize regional variation to comprehensively map potentially avoidable hospitalisations for five ACSCs from Swiss nursing homes, home care organisations and the general population.

Methods

This retrospective observational study used data on all Swiss hospitalisations in 2017 to assess regional variations of potentially avoidable hospitalisations for angina pectoris, congestive heart failure, chronic obstructive pulmonary disease, diabetes complications and hypertension. We used small areas, utilisation-based hospital service areas (HSAs), and administrative districts (Cantons) as geographic zones. The outcomes of interest were age and sex standardised rates of potentially avoidable hospitalisations for ACSCs in adults (> 15 years). Our inferential analyses used linear mixed models with Gaussian distribution.

Results

We identified 46,479 hospitalisations for ACSC, or 4.3% of all hospitalisations. Most of these occurred in the elderly population for congestive heart failure and COPD. The median rate of potentially avoidable hospitalisation for ACSC was 527 (IQR 432–620) per 100.000 inhabitants. We found substantial regional variation for HSAs and administrative districts as well as disease-specific regional patterns.

Conclusions

Differences in continuity of care might be key drivers for regional variation of potentially avoidable hospitalisations for ACSCs. These results provide a new perspective on the functioning of primary care structures in Switzerland and call for novel approaches in effective primary care delivery.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06876-5.

Ten-Year Evaluation of the Population-Based Integrated Health Care System "Gesundes Kinzigtal"

BACKGROUND

The population-based integrated health care system called "Gesundes Kinzigtal" (Integrierte Versorgung Gesundes Kinzigtal, IVGK) was initiated more than 10 years ago in the Kinzig River Valley region, which is located in the Black Forest in the German state of Baden-Württemberg. IVGK is intended to optimize health care while maximizing cost-effectiveness. It consists of programs for promoting health and for enabling cooperation among service providers, as well as of a shared-savings contract that has enabled resources to be saved every year. The goal of the present study was to investigate trends in the quality of care provided by IVGK over the past ten years in comparison to conventional care.

METHODS

This is a non-randomized observational study with a control-group design (Kinzig River Valley versus 13 structurally comparable control regions), employing data collected by AOK, a large statutory health-insurance provider in Germany, over the period 2006-2015. Quality assessment was conducted with the aid of a set of indicators, developed by the authors, that was based exclusively on claims data. The statistical analysis of the trends in these indicators over time was conducted with preset criteria for the relevance of any observed changes, as well as preset mechanisms of controlling for confounding factors.

RESULTS

For 88 of the 101 evaluable indicators, no relevant difference was seen between the trend over time in the region of the intervention and the average trend in the control regions. Relevant differences in favor of the IVGK were observed for six indicators, and negatively divergent trends compared to the controls were observed for seven indicators. In the main summarizing statistical analysis, no positive or negative difference was found between the Kinzig River Valley and the other regions with respect to trends in the health-care indicators over time.

CONCLUSION

An evaluation based on 101 indicators derived from health-insurance data did not reveal any improvement of the quality of care by IVGK and the totality of the programs that were implemented under it. However, under the conditions of the shared-savings contract, no relevant diminution in the quality of care was observed over a period of 10 years either, compared with structurally similar control regions without an integrated care model.

Space-time clustering and temporal trends of hospitalizations due to pulmonary tuberculosis: potential strategy for assessing health care policies

BACKGROUND

Tuberculosis (TB) causes pressure on healthcare resources, especially in terms of hospital admissions, despite being considered an ambulatory care-sensitive condition for which timely and effective care in ambulatory setting could prevent the need for hospitalization. Our objectives were to describe the spatial and temporal variation in pulmonary tuberculosis (PTB) hospitalizations, identify critical geographic areas at municipality level and characterize clusters of PTB hospitalizations to help the development of tailored disease management strategies that could improve TB control.

METHODS

Ecologic study using sociodemographic, geographical and clinical information of PTB hospitalization cases from continental Portuguese public hospitals, between 2002 and 2016. Descriptive statistics, spatiotemporal cluster analysis and temporal trends were conducted.

RESULTS

The space-time analysis identified five clusters of higher rates of PTB hospitalizations (2002-16), including the two major cities in the country (Lisboa and Porto). Globally, we observed a -7.2% mean annual percentage change in rate with only one of the identified clusters (out of six) with a positive trend (+4.34%). In the more recent period (2011-16) was obtained a mean annual percentage change in rate of -8.12% with only one cluster identified with an increase trend (+9.53%).

CONCLUSIONS

Our results show that space-time clustering and temporal trends analysis can be an invaluable resource to monitor the dynamic of the disease and contribute to the design of more effective, focused interventions. Interventions such as enhancing the detection of active and latent infection, improving monitoring and evaluation of treatment outcomes or adjusting the network of healthcare providers should be tailored to the specific needs of the critical areas identified.

Associations of GP practice characteristics with the rate of ambulatory care sensitive conditions in people living with dementia in England: an ecological analysis of routine data

BACKGROUND

Hospital admissions for Ambulatory Care Sensitive Conditions (ACSCs) are potentially avoidable. Dementia is one of the leading chronic conditions in terms of variability in ACSC admissions by general practice, as well as accounting for around a third of UK emergency admissions.

METHODS

Using Bayesian multilevel linear regression models, we examined the ecological association of organizational characteristics of general practices (ACSC n=7076, non-ACSC n=7046 units) and Clinical Commissioning Groups (CCG n=212 units) in relation to ACSC and non-ACSC admissions for people with dementia in England.

RESULTS

The rate of hospital admissions are variable between GP practices, with deprivation and being admitted from home as risk factors for admission for ACSC and non-ACSC admissions. The budget allocated by the CCG to mental health shows diverging effects for ACSC versus non-ACSC admissions, so it is likely there is some geographic variation.

CONCLUSIONS

A variety of factors that could explain avoidable admissions for PWD at the practice level were examined; most were equally predictive for avoidable and non-avoidable admissions. However, a high amount of variation found at the practice level, in conjunction with the diverging effects of the CCG mental health budget, implies that guidance may be applied inconsistently, or local services may have differences in referral criteria. This indicates there is potential scope for improvement.

Interventions to Improve Hospital Admission and Discharge Management: An Umbrella Review of Systematic Reviews

BACKGROUND

The aim of this umbrella review was to summarize the research evidence on programs to improve the transition between ambulatory and hospital care.

METHODS

The MEDLINE database and the Cochrane library were searched. Systematic reviews of randomized controlled trials published between January 2000 and September 2018 in English or German were included. Studies were eligible if an assessment or coordination intervention had been evaluated and if patients had been transferred between hospital (defined as internal medicine, surgery, or unspecified hospital setting) and home (defined as any permanent residence). Risk of bias was assessed using the AMSTAR criteria. Results are presented descriptively and in table format.

RESULTS

Thirty-nine systematic reviews comprising 492 different studies were included. More than half of these studies were conducted in the United States, the United Kingdom, Canada, and Australia. All studies evaluated strategies to improve discharge management (introduced after patients' arrival at the hospital); no study assessed strategies to improve admission management (initiated in primary care before patients' transition to hospital). The reviews included focused on a specific patient group, a specific intervention type, or a specific outcome. Overall, interventions focusing on elderly patients and high-intensity interventions seemed to be most effective. An overview of classifications of care transition strategies is provided.

CONCLUSIONS

Future research should focus on hospital admission management programs.

Monitoring the health and healthcare provision for refugees in collective accommodation centres: Results of the population-based survey RESPOND

To date, the integration of refugees in German health surveys is insufficient. The survey RESPOND (Improving regional health system responses to the challenges of forced migration) aimed to collect valid epidemiological data on refugee health status and healthcare provision. The core elements of the survey consisted of a population-based sampling procedure in Baden-Württemberg, multilingual questionnaires and a face-to-face approach of recruitment and data collection in collective accommodation centres with multilingual field teams. In addition, data on the geographical locations of accommodation centres and their structural quality were obtained. The results indicate a high overall health burden. The prevalence of depression (44.3%) and anxiety symptoms (43.0%) was high. At the same time, high unmet needs were reported for primary (30.5%) and specialist (30.9%) care. Despite sufficient geographical accessibility of primary care services, frequent ambulatory care sensitive hospitalisations, i.e. hospitalisations that could potentially have been avoided through primary care (25.3%), as well as subjective deficits in the quality of care, suggest barriers to accessing healthcare services. Almost half of all refugees (45.3%) live in accommodation facilities of poor structural quality. Collecting valid data on the health situation of refugees is possible through a combination of targeted sampling, multilingual recruitment and survey instruments as well as personal recruitment. The presented approach could complement established procedures for conducting health surveys and be extended to other federal states.