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1.
JMIR Res Protoc ; 12: e37569, 2023 Jan 17.
Article in English | MEDLINE | ID: mdl-36649065

ABSTRACT

BACKGROUND: Mental and neurological disorders cause a large proportion of morbidity burden and require adequate health care structures. However, deficits in the German health care system like long waiting times for access to specialized care and a lack of coordination between health care providers lead to suboptimal quality of care and elevated health care costs. OBJECTIVE: To overcome these deficits, we implement and evaluate a unique stepped and coordinated model of care (the Neurologisch-psychiatrische und psychotherapeutische Versorgung [NPPV] program) for patients with mental and neurological diseases. METHODS: Patients included in the program receive an appropriate treatment according to medical needs in a multiprofessional network of ambulatory health care providers. The therapy is coordinated by a managing physician and complemented by additional therapy modules, such as group therapy, internet-based cognitive behavioral therapy, and a case management. Statutory health insurance (SHI) routine data and data from a longitudinal patient survey will be used to compare the program with regular care and evaluate SHI expenditures and patient-related outcomes. A health care provider survey will evaluate the quality of structure and processes and provider satisfaction. Finally, an analysis of ambulatory claims data and drug prescription data will be used to evaluate if health care providers follow a needs-led approach in therapy. Ethics approval for this trial was obtained from the ethics committee of the chamber of physicians in North Rhine (September 13, 2017, reference No. 2017287). RESULTS: Patient enrollment of NPPV ended in September 2021. Data analysis has been completed in 2022. The results of this study will be disseminated through scientific publications, academic conferences, and a publicly available report to the German Federal Joint Committee, which is expected to be available in the first half of 2023. CONCLUSIONS: The NPPV program is the first intervention to implement a stepped model of care for both mental and neurological diseases in Germany. The analysis of several data sources and a large sample size (more than 14,000 patients) enable a comprehensive evaluation of the NPPV program. TRIAL REGISTRATION: German Clinical Trials Register DRKS00022754; https://tinyurl.com/3mx9pz5z. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37569.

2.
BMC Health Serv Res ; 22(1): 1015, 2022 Aug 09.
Article in English | MEDLINE | ID: mdl-35945585

ABSTRACT

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.


Subject(s)
Ambulatory Care , Quality of Health Care , Delivery of Health Care , Germany , Humans , Pilot Projects
3.
Article in English | MEDLINE | ID: mdl-36612457

ABSTRACT

BACKGROUND: The main contributor to excess mortality in severe mental illness (SMI) is poor physical health. Causes include unfavorable health behaviors among people with SMI, stigmatization phenomena, as well as limited access to and utilization of physical health care. Patient centered interventions to promote the utilization of and access to existing physical health care facilities may be a pragmatic and cost-effective approach to improve health equity in this vulnerable and often neglected patient population. OBJECTIVE/METHODS: In this study, we systematically reviewed the international literature on such studies (sources: literature databases, trial-registries, grey literature). Empirical studies (quantitative, qualitative, and mixed methods) of interventions to improve the utilization of and access to medical health care for people with a SMI, were included. RESULTS: We identified 38 studies, described in 51 study publications, and summarized them in terms of type, theoretical rationale, outcome measures, and study author's interpretation of the intervention success. CONCLUSIONS: Useful interventions to promote the utilization of physical health care for people with a SMI exist, but still appear to be rare, or at least not supplemented by evaluation studies. The present review provides a map of the evidence and may serve as a starting point for further quantitative effectiveness evaluations of this promising type of behavioral intervention.


Subject(s)
Health Equity , Mental Disorders , Humans , Mental Disorders/therapy , Mental Disorders/epidemiology , Outcome Assessment, Health Care , Behavior Therapy , Empirical Research
4.
Trials ; 22(1): 624, 2021 Sep 15.
Article in English | MEDLINE | ID: mdl-34526088

ABSTRACT

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.


Subject(s)
Ambulatory Care , Feedback , Germany , Humans , Pilot Projects , Prospective Studies , Randomized Controlled Trials as Topic
5.
BMJ Open ; 10(9): e038776, 2020 09 17.
Article in English | MEDLINE | ID: mdl-32948571

ABSTRACT

INTRODUCTION: Quality of emergency department (ED) care affects patient outcomes substantially. Quality indicators (QIs) for ED care are a major challenge due to the heterogeneity of patient populations, health care structures and processes in Germany. Although a number of quality measures are already in use, there is a paucity of data on the importance of these QIs on medium-term and long-term outcomes. The evaluation of outcome relevance of quality indicators in the emergency department study (ENQuIRE) aims to identify and investigate the relevance of QIs in the ED on patient outcomes in a 12-month follow-up. METHODS AND ANALYSIS: The study is a prospective non-interventional multicentre cohort study conducted in 15 EDs throughout Germany. Included are all patients in 2019, who were ≥18 years of age, insured at the Techniker Krankenkasse (statutory health insurance (SHI)) and gave their written informed consent to the study.The primary objective of the study is to assess the effect of selected quality measures on patient outcome. The data collected for this purpose comprise medical records from the ED treatment, discharge (claims) data from hospitalised patients, a patient questionnaire to be answered 6-8 weeks after emergency admission, and outcome measures in a 12-month follow-up obtained as claims data from the SHI.Descriptive and analytical statistics will be applied to provide summaries about the characteristics of QIs and associations between quality measures and patient outcomes. ETHICS AND DISSEMINATION: Approval of the leading ethics committee at the Medical Faculty of the University of Magdeburg (reference number 163/18 from 19 November 2018) has been obtained and adapted by responsible local ethics committees.The findings of this work will be disseminated by publication of peer-reviewed manuscripts and presentations as conference contributions (abstracts, poster or oral presentations).Moreover, results will be discussed with clinical experts and medical associations before being proposed for implementation into the quality management of EDs. TRIAL REGISTRATION NUMBER: German Clinical Trials Registry (DRKS00015203); Pre-results.


Subject(s)
Emergency Service, Hospital , Quality Indicators, Health Care , Cohort Studies , Germany , Humans , Multicenter Studies as Topic , Prospective Studies
6.
Gesundheitswesen ; 82(S 01): S72-S82, 2020 Mar.
Article in German | MEDLINE | ID: mdl-31597189

ABSTRACT

BACKGROUND: Currently, there is a big need for data on emergency department (ED) utilization in Germany. One reason is the ongoing reorganisation of emergency care. Possible sources are routine data that are being collected based on legal regulations. Different payers and compensation systems have their own requirements for data collection. METHODOLOGICAL CHALLENGES: Due to the sectoral separation of health care services, there is no dataset or data holder to provide information on all ED treatments in Germany. From an administrative point of view, emergency care in Germany is considered ambulatory outpatient or inpatient care from the time point of admission to the ED. In contrast, clinical decision about inpatient admission can sometimes only be made towards the end of emergency care. EDs themselves cannot be identified in claims data; only the medical discipline (e. g. surgery) is classified. In the case of outpatient treatment, reimbursed by the Association of Statutory Health Insurance Physicians, at least one coded diagnosis (ICD) has to be recorded, accompanied by an additional code for the likelihood of this diagnosis. In case of multiple ICDs, a primary diagnosis cannot be specified. In the case of in-hospital treatment, an admission diagnosis must be recorded. After completion of hospital treatment, the main diagnosis and possibly secondary diagnoses are transferred to the respective health insurance fund. The statutory occupational accident insurance has its own requirements. SOLUTIONS: Depending on the research question and study design, different approaches are required. If data are queried directly in emergency departments or hospitals, additional information on the designated data holder and billing mode is crucial. When using health insurance data from inpatient care, the identification of emergency departments can be estimated on the basis of the reason for hospital admission and defined "unique" emergency ICDs. The case-related hospital statistics has its own limitations, but includes inpatients of all payers. DISCUSSION: Differing requirements for the administrative documentation cause a high workload in emergency departments. A standardised data collection system for all payers for inpatient and outpatient emergency care is recommended. This would contribute to the creation of valid and comparable datasets. The introduction of a particular identifier for EDs in claims data would enhance health services research.


Subject(s)
Documentation , Emergency Medical Services , Emergency Service, Hospital , Data Accuracy , Germany , Hospitalization , Humans
7.
J Health Monit ; 4(2): 50-63, 2019 Jun.
Article in English | MEDLINE | ID: mdl-35146247

ABSTRACT

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

8.
Article in German | MEDLINE | ID: mdl-30191270

ABSTRACT

BACKGROUND: Hospitalizations and lower limb amputations related to diabetes mellitus (DM) are considered to be potentially avoidable. Appropriate outpatient care of diabetes prevents complications. Rates on potentially avoidable hospitalizations for diabetes are core indicators of the German diabetes surveillance program. International comparisons showed high hospitalization rates in Germany for both indicators. OBJECTIVES: The objective of this analysis is to describe time trends on hospitalizations and inpatient lower limb amputations (major amputations) for DM. Furthermore, we analyze small area variations. MATERIALS AND METHODS: Based on the German diagnosis related groups (DRGs) dataset we calculated age-standardized rates covering 2005-2015. Calculations rely on the Organisation for Economic Co-operation and Development (OECD) indicator definitions. Time trends are obtained by linear regression modelling. We also stratified into age groups and analyzed 2015 small-area variations using age-adjusted rates. RESULTS: Crude hospitalization rates were 310 admissions per 100,000 inhabitants in men (amputation rate: 15.6) and 216 admissions per 100,000 inhabitants in women (amputation rate: 7.1) in 2015. Age-adjusted hospitalizations and amputations rates in women decreased over time (10.3 and 1.2 cases per 100,000 inhabitants and year, respectively). In men, the amputation rate decreased significantly (1.5 cases per 100,000 inhabitants and year). We found higher rates for men than for women in almost all age categories. In eastern Germany and parts of Bavaria and North Rhine-Westphalia rates are particularly high. CONCLUSIONS: A decrease in hospitalization rates may indicate improvements in ambulatory diabetes care over time. Future studies should consider age-specific differences and small-area variations.


Subject(s)
Amputation, Surgical , Diabetes Complications , Diabetes Mellitus , Hospitalization , Amputation, Surgical/statistics & numerical data , Female , Germany , Hospitalization/statistics & numerical data , Humans , Male , Small-Area Analysis
9.
Health Serv Res ; 53(2): 1180-1202, 2018 04.
Article in English | MEDLINE | ID: mdl-28332190

ABSTRACT

OBJECTIVES: To explore effects of disease prevalence adjustment on ambulatory care-sensitive hospitalization (ACSH) rates used for quality comparisons. DATA SOURCES/STUDY SETTING: County-level hospital administrative data on adults discharged from German hospitals in 2011 and prevalence estimates based on administrative ambulatory diagnosis data were used. STUDY DESIGN: A retrospective cross-sectional study using in- and outpatient secondary data was performed. DATA COLLECTION: Hospitalization data for hypertension, diabetes, heart failure, chronic obstructive pulmonary disease, and asthma were obtained from the German Diagnosis Related Groups (DRG) database. Prevalence estimates were obtained from the German Central Research Institute of Ambulatory Health Care. PRINCIPAL FINDINGS: Crude hospitalization rates varied substantially across counties (coefficients of variation [CV] 28-37 percent across conditions); this variation was reduced by prevalence adjustment (CV 21-28 percent). Prevalence explained 40-50 percent of the observed variation (r = 0.65-0.70) in ACSH rates for all conditions except asthma (r = 0.07). Between 30 percent and 38 percent of areas moved into or outside condition-specific control limits with prevalence adjustment. CONCLUSIONS: Unadjusted ACSH rates should be used with caution for high-stakes public reporting as differences in prevalence may have a marked impact. Prevalence adjustment should be considered in models analyzing ACSH.


Subject(s)
Chronic Disease/epidemiology , Hospitalization/statistics & numerical data , Quality Indicators, Health Care , Benchmarking , Cross-Sectional Studies , Female , Germany , Humans , Male , Prevalence , Retrospective Studies , Risk Adjustment , Spatial Analysis
10.
Article in German | MEDLINE | ID: mdl-28466131

ABSTRACT

Epidemiological data provide evidence that diabetes mellitus is a highly relevant public health issue in Germany as in many other countries. The Robert Koch Institute (RKI) is in the process of building a national diabetes surveillance system that is aimed at establishing indicator-based public health monitoring of diabetes population dynamics using primary and secondary data. The purpose of the workshop was to conduct an inventory of available secondary data sources and to discuss data contents, data access, data analysis examples in addition to the options for ongoing data use for diabetes surveillance.


Subject(s)
Data Mining/methods , Databases, Factual/statistics & numerical data , Diabetes Mellitus/epidemiology , Medical Record Linkage/methods , Metadata/statistics & numerical data , Population Surveillance/methods , Registries/statistics & numerical data , Electronic Health Records/statistics & numerical data , Germany/epidemiology , Humans , Prevalence
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