Christian Jacke

Systematische Bewertung und Steigerung der Qualität medizinischer Daten

Public health research depends on empirical information that is based on data of high quality. The aim of this study was to apply the current guidelines developed by the Technology and Methodology Platform for Networked Medical Research (TMF) for the independent assessment and enhancement of data quality. A clinical register of female breast cancer patients from two periods (N = 389 of 1996-1997 and N = 488 of 2003-2004) was used. To check the plausibility, organization, and correctness of the data quality levels, data quality indicators (DQI) were chosen, operationalized, and the variance ratios of normative-analytic-defined thresholds were calculated. Significant deviations led to data improvement, which included the commonly known source data verification (SDV). A summary data quality score was calculated before and after application of the guidelines. Eleven out of 24 DQIs were tested. Data quality systematically increased from 51.6 to 67.7%. The guidelines facilitate a systematic assessment and improvement of data quality with a reasonable use of resources. This target-oriented procedure allows for a high transparency of the available data quality, which is essential for health research.

Service provision for mentally disordered homeless people.

Purpose of review Mentally ill homeless persons are among the most neglected or marginalized patient groups. Their needs for mental healthcare are widely unmet. The current economic crisis probably accelerates the social decline and deterioration of physical and mental health in high-risk groups worldwide and increases the need for appropriate treatments, services, and prevention strategies. Recent findings Research on service provision for mentally disordered homeless people (from 2010 to 2012) covers the following issues: epidemiology of mental ill health among homeless persons, service delivery and healthcare utilization, specific treatments, specific high-risk groups among homeless persons, and subjective experience with mental health service provision. Summary The number of studies published on these issues between 2010 and 2012 may suggest an awareness for the need for adequate service provision of this marginalized clientele. Research evidence is still not sufficient. The majority of studies are from the United States. The methodological quality of the studies is still moderate, being descriptive in nature or applying qualitative approaches to small samples. Included are usually easy to access patients from inner-city regions. There is an encouraging trend to focus on younger age groups that supports the focus on primary or secondary prevention strategies for homelessness and mental disorders.

Systematic assessment and improvement of medical data quality

Public health research depends on empirical information that is based on data of high quality. The aim of this study was to apply the current guidelines developed by the Technology and Methodology Platform for Networked Medical Research (TMF) for the independent assessment and enhancement of data quality. A clinical register of female breast cancer patients from two periods (N = 389 of 1996-1997 and N = 488 of 2003-2004) was used. To check the plausibility, organization, and correctness of the data quality levels, data quality indicators (DQI) were chosen, operationalized, and the variance ratios of normative-analytic-defined thresholds were calculated. Significant deviations led to data improvement, which included the commonly known source data verification (SDV). A summary data quality score was calculated before and after application of the guidelines. Eleven out of 24 DQIs were tested. Data quality systematically increased from 51.6 to 67.7%. The guidelines facilitate a systematic assessment and improvement of data quality with a reasonable use of resources. This target-oriented procedure allows for a high transparency of the available data quality, which is essential for health research.

Krankenkassengestütztes Case-Management verbessert kostenneutral die Behandlungsqualität bei affektiven Störungen

OBJECTIVE Improvement of depression treatment by health insurance based case-management. Criteria of improvement were a higher treatment rate of patients suffering from affective disorders or depression by psychiatrists or psychotherapists than by general practitioners or family doctors and sickness fund payments. METHODS Training of health insurance account managers (characteristics of depression, counselling and, case management techniques). Evaluation of outcomes during 12-months against a control group of account managers without training. RESULTS Intervention group: 87.8 % patients with in average 13.5 contacts to psychiatrists or psychotherapists; control group: 82.6 % patients with 11.8 contacts. The difference was statistically significant. Health insurance payments did not differ. CONCLUSIONS A higher treatment rate by psychiatrists and psychotherapists can be achieved by health insurance-based case-management without a cost-increase.

Using relative survival measures for cross-sectional and longitudinal benchmarks of countries, states, and districts: the BenchRelSurv- and BenchRelSurvPlot-macros

BackgroundThe objective of screening programs is to discover life threatening diseases in as many patients as early as possible and to increase the chance of survival. To be able to compare aspects of health care quality, methods are needed for benchmarking that allow comparisons on various health care levels (regional, national, and international).ObjectivesApplications and extensions of algorithms can be used to link the information on disease phases with relative survival rates and to consolidate them in composite measures. The application of the developed SAS-macros will give results for benchmarking of health care quality. Data examples for breast cancer care are given.MethodsA reference scale (expected, E) must be defined at a time point at which all benchmark objects (observed, O) are measured. All indices are defined as O/E, whereby the extended standardized screening-index (eSSI), the standardized case-mix-index (SCI), the work-up-index (SWI), and the treatment-index (STI) address different health care aspects. The composite measures called overall-performance evaluation (OPE) and relative overall performance indices (ROPI) link the individual indices differently for cross-sectional or longitudinal analyses.ResultsAlgorithms allow a time point and a time interval associated comparison of the benchmark objects in the indices eSSI, SCI, SWI, STI, OPE, and ROPI. Comparisons between countries, states and districts are possible. Exemplarily comparisons between two countries are made. The success of early detection and screening programs as well as clinical health care quality for breast cancer can be demonstrated while the population’s background mortality is concerned.ConclusionsIf external quality assurance programs and benchmark objects are based on population-based and corresponding demographic data, information of disease phase and relative survival rates can be combined to indices which offer approaches for comparative analyses between benchmark objects. Conclusions on screening programs and health care quality are possible. The macros can be transferred to other diseases if a disease-specific phase scale of prognostic value (e.g. stage) exists.

INFOPAT-Projekt: Gesundheitsökonomische Evaluation einer IT-gestützten, praxisnetzbasierten komplexen Intervention für multimorbide DMP-Diabetes mellitus Typ 2 Patienten/innen

Mit dem Wettbewerb „Gesundheitsregionen der Zukunft: Fortschritt durch Forschung und Innovation“ unterstutzt das Bundesministerium fur Bildung und Forschung (BMBF) seit 2008 die Rolle des Gesundheitswesens in Deutschland als Wachstumsmarkt mit grosem Innovationspotenzial. Bisher haben Erfahrungen aus international erfolgreichen gesundheitswirtschaftlichen Modellen und vorangegangenen BMBF-geforderten Initiativen gezeigt, dass eine enge, regional fokussierte Vernetzung aller im Gesundheitswesen involvierten Akteure von besonderer Bedeutung fur eine optimale Nutzung vorhandener Innovationspotenziale in Wissenschaft und Wirtschaft sind. Genau diese Erkenntnis soll im Rahmen des BMBF-Wettbewerbs „Gesundheitsregionen der Zukunft“ aufgegriffen werden.

Systematische Bewertung und Steigerung der Qualität medizinischer DatenSystematic assessment and improvement of medical data quality

Public health research depends on empirical information that is based on data of high quality. The aim of this study was to apply the current guidelines developed by the Technology and Methodology Platform for Networked Medical Research (TMF) for the independent assessment and enhancement of data quality. A clinical register of female breast cancer patients from two periods (N = 389 of 1996-1997 and N = 488 of 2003-2004) was used. To check the plausibility, organization, and correctness of the data quality levels, data quality indicators (DQI) were chosen, operationalized, and the variance ratios of normative-analytic-defined thresholds were calculated. Significant deviations led to data improvement, which included the commonly known source data verification (SDV). A summary data quality score was calculated before and after application of the guidelines. Eleven out of 24 DQIs were tested. Data quality systematically increased from 51.6 to 67.7%. The guidelines facilitate a systematic assessment and improvement of data quality with a reasonable use of resources. This target-oriented procedure allows for a high transparency of the available data quality, which is essential for health research.