[Reliability of peer review-like dialogue in the German statutory quality assurance program]. / Reliabilität des Strukturierten Dialogs in der gesetzlich verpflichtenden Qualitätssicherung.

BACKGROUND: Quality measurement in the German statutory program for quality in health care follows a two-step process. For selected areas of health care, quality is measured via performance indicators (first step). Providers failing to achieve benchmarks in these indicators subsequently enter into a peer review process (second step) and are asked by the respective regional authority to provide a written statement regarding their indicator results. The statements are then evaluated by peers, with the goal to assess the provider's quality of care. In the past, similar peer review-based approaches to the measurement of health care quality in other countries have shown a tendency to lack reliability. So far, the reliability of this component of the German statutory program for quality in health care has not been investigated. METHOD: Using logistic regression models, the influence of the respective regional authority on the peer review component of health care quality measurement in Germany was investigated using three exemplary indicators and data from 2016. RESULTS: Both the probability that providers are asked to provide a statement as well as the results produced by the peer review process significantly depend on the regional authority in charge. This dependence cannot be fully explained by differences in the indicator results or by differences in case volume. CONCLUSIONS: The present results are in accordance with earlier findings, which show low reliability for peer review-based approaches to quality measurement. Thus, different results produced by the peer review component of the quality measurement process may in part be due to differences in the way the review process is conducted. This heterogeneity among the regional authorities limits the reliability of this process. In order to increase reliability, the peer review process should be standardized to a higher degree, with clear review criteria, and the peers should undergo comprehensive training for the review process. Alternatively, the future peer review component could be adapted to focus rather on identification of improvement strategies than on reliable provider comparisons.

Introduction of quality indicators in German hospital capacity planning - Do results show an improvement in quality?

In Germany, the use of quality data to support hospital capacity planning was introduced in 2017. On behalf of the Federal Joint Committee, IQTIG suggested 11 quality indicators and developed a program on how to collect, evaluate and report data for the clinical areas gynaecological surgery, obstetrics and breast surgery. By analysing data from 2015 to 2021, effects of the introduction of the program on indicator results, statistical discrepancies and impact on care quality are examined. Effects on capacity planning are discussed. Since the program started, indicator results improved in all clinical areas, and statistical discrepancies and the number of assessments with insufficient quality decreased due to enhanced adherence to quality standards and data validity. Effects on capacity planning or the allocation of hospitals have not occurred. Thus, a change of the legal basis to allow a better link between quality and hospital planning is recommended. The approach to use quality data on hospital regulation in Germany is evolving. The current hospital reform in Germany also addresses other approaches to quality-based regulation. Already now, there have been clear improvements in specific indicators as well as lessons for quality assurance and its link to capacity planning provided by the program, which are also applicable to other countries.

Hospital profiling using Bayesian decision theory.

For evaluating the quality of care provided by hospitals, special interest lies in the identification of performance outliers. The classification of healthcare providers as outliers or non-outliers is a decision under uncertainty, because the true quality is unknown and can only be inferred from an observed result of a quality indicator. We propose to embed the classification of healthcare providers into a Bayesian decision theoretical framework that enables the derivation of optimal decision rules with respect to the expected decision consequences. We propose paradigmatic utility functions for two typical purposes of hospital profiling: the external reporting of healthcare quality and the initiation of change in care delivery. We make use of funnel plots to illustrate and compare the resulting optimal decision rules and argue that sensitivity and specificity of the resulting decision rules should be analyzed. We then apply the proposed methodology to the area of hip replacement surgeries by analyzing data from 1,277 hospitals in Germany which performed over 180,000 such procedures in 2017. Our setting illustrates that the classification of outliers can be highly dependent upon the underlying utilities. We conclude that analyzing the classification of hospitals as a decision theoretic problem helps to derive transparent and justifiable decision rules. The methodology for classifying quality indicator results is implemented in an R package (iqtigbdt) and is available on GitHub.

Robustness, canalyzing functions and systems design.

We study a notion of knockout robustness of a stochastic map (Markov kernel) that describes a system of several input random variables and one output random variable. Robustness requires that the behaviour of the system does not change if one or several of the input variables are knocked out. Gibbs potentials are used to give a mechanistic description of the behaviour of the system after knockouts. Robustness imposes structural constraints on these potentials. We show that robust systems can be described in terms of suitable interaction families of Gibbs potentials, which allows us to address the problem of systems design. Robustness is also characterized by conditional independence constraints on the joint distribution of input and output. The set of all probability distributions corresponding to robust systems can be decomposed into a finite union of components, and we find parametrizations of the components.

Robustness of Boolean dynamics under knockouts.

The response to a knockout of a node is a characteristic feature of a networked dynamical system. Knockout resilience in the dynamics of the remaining nodes is a sign of robustness. Here we study the effect of knockouts for binary state sequences and their implementations in terms of Boolean threshold networks. Besides random sequences with biologically plausible constraints, we analyze the cell cycle sequence of the species Saccharomyces cerevisiae and the Boolean networks implementing it. Comparing with an appropriate null model we do not find evidence that the yeast wildtype network is optimized for high knockout resilience. Our notion of knockout resilience weakly correlates with the size of the basin of attraction, which has also been considered a measure of robustness.

Association of the long allele of the 5-HTTLPR polymorphism with compulsive craving in alcohol dependence.

AIMS: Various studies have reported a role of the serotonin transporter-linked polymorphic region (5-HTTLPR) in alcoholism. METHOD: The present study investigated an association of this polymorphism with obsessive-compulsive alcohol craving in 124 male patients admitted for alcohol detoxification treatment. RESULTS: We found significantly higher compulsive craving in patients with the long allele of the 5-HTTLPR polymorphism [at admission: analysis of variance (ANOVA): F = 3.48, P = 0.034, general linear model: F = 3.92, P = 0.023; after 7 days: ANOVA: F = 3.12, P = 0.049]. CONCLUSIONS: Our results suggest that the long variant of the 5-HTTLPR polymorphism is associated with higher compulsive alcohol craving at the beginning of alcohol withdrawal.

Role of appetite-regulating peptides in alcohol craving: an analysis in respect to subtypes and different consumption patterns in alcoholism.

BACKGROUND: A role of appetite-regulating peptides like leptin and ghrelin in the neurobiology of alcohol craving has been proposed by several studies. Aim of this analysis was to search for differences regarding an association between these peptides and alcohol craving with respect to different subtypes and beverage consumption patterns in patients with alcohol dependence. METHODS: We analyzed a sample of 188 patients at admission for alcohol detoxification regarding leptin and ghrelin (n=117) serum levels. Craving was measured using the Obsessive Compulsive Drinking Scale (OCDS). Patients were classified according to Lesch's typology of alcohol dependence and according to their preferred type of alcoholic beverage (beer, wine, spirits). RESULTS: Using general linear models to analyze a possible interaction between subtypes and leptin/ghrelin levels with respect to craving, we found a significant positive association for leptin in patients of Lesch's types 1 and 2, and in patients consuming beer or wine. Ghrelin levels showed a significant trend regarding an association with craving in patients of Lesch's type 1. In the other subgroups we found no significant results. CONCLUSIONS: Our findings show that appetite-regulating peptides may be of special importance regarding alcohol craving in subtypes of patients. This may explicate at least in part previous contradictory findings.