Cross-sectional study for derivation of a cut-off value for identification of an early versus delayed diagnosis of endometriosis based on analytical and descriptive research methods.

BACKGROUND: Endometriosis is a benign, hormone-dependent, chronic inflammatory gynecological disease accompanied by cyclic and acyclic pelvic pain and other complaints. The long lists of research recommendations in the AWMF guideline (Burghaus et al., Geburtshilfe Frauenheilkd 81:422-46, 2021) and ESHRE Endometriosis Guideline (ESHRE Endometriosis Guideline Development Group, Endometriosis: Guideline of European Society of Human Reproduction and Embryology, 2022) show that there is still a great need for research in all aspects of the disease. Diagnostic delay, defined as the mean time between symptom onset and confirmed diagnosis, is a particular problem associated with endometriosis. Some quantitative and qualitative studies have investigated possible reasons for this. A range of physician-related (Dixon et al., Br J Gen Pract 71:e668-e676, 2021; van der Zanden and Nap, Reprod Biomed Online 32:527-31, 2016) and patient-related factors (Sayer-Jones and Sherman, Health Psychol Behav Med 9:456-79, 2021) as well as stigmatization of the topic of menstruation by society have been identified (Kruckenberg, Frauenarzt 59:2-5, 2018; Seear, Soc Sci Med 69:1220-7, 2009). The consequences of the disease being diagnosed late (or too late) on the course of disease, the quality of life and the costs of the disease have already been documented in studies (Sims Int J Environ Res Public Health 18(15):8210, 2021; Surrey Adv Ther 37:1087-99, 2020). However, a systematically derived cut-off value that clearly distinguishes between short and long delay is still lacking. Therefore, the aim of our study was to derive a threshold value for the definition of a target corridor for endometriosis diagnosis based on descriptive and analytical methods. METHODS: Since our review of the rather sparse publications on diagnostic delay did not yield satisfactory results, we used descriptive statistics and location parameters to calculate a cut-off value for German population data from the EndoCost study. Statistical methods were used for correlation analysis of shortDD versus longDD (correlation analysis and logistic regression) and group membership (discriminant analysis). RESULTS: Five years was identified as the cut-off value that significantly differentiated between shortDD and longDD based on various disease-related variables. This suggests that endometriosis should be definitively diagnosed within less than five years to minimize the risk of an unfavorable course of the disease. CONCLUSION: Our findings confirmed that an early onset of endometriosis-related symptoms is the most important risk factor for a long diagnostic delay. Consequently, adolescent females should receive increased attention as an especially vulnerable group. Evidently, there is an urgent need to develop adequate concepts to improve the endometriosis education and care among this target group.

[Prevalences of Depression Among Adults: Comparative Analysis of a Nationwide Survey and Routine Data]. / Prävalenzen von Depressionen bei Erwachsenen ­ eine vergleichende Analyse bundesweiter Survey- und Routinedaten.

AIM: There are differences in the prevalence estimates of depressive disorders based on primary and secondary data. The reasons for this are, for instance, the use of divergent indicators and varying observation periods. This study examines the prevalence of depressive disorders using survey and routine data for a comparable survey period and age range. Effects of differences between data sources and indicators are estimated. METHODS: For 2010, 3 indicators are compared: in a population survey collected a) self-reported medical diagnosis of depression, b) diagnosis of depressive disorders identified by clinical interviews and c) administrative depression diagnoses collected from routine data of a statutory health insurance. In sensitivity analyses, privately insured participants of the population survey were excluded, and insured persons with care needs were excluded from routine data. The definition of administrative depression diagnosis was varied depending on the frequency of coded diagnoses and the specificity of the diagnoses. RESULTS: The highest prevalence (9.8%) was found for depression diagnoses from administrative data, the lowest prevalence (5.9%) in self-reported medical diagnoses of depression in the population survey. The prevalence of depression identified by clinical interviews was 8.4%. Differing age and gender-related courses of illness were found. The administrative prevalence dropped significantly if unspecific diagnoses (F3x.8, F3x.9) were excluded. DISCUSSION: Depending on the definition of depression diagnoses used in administrative data, there was a reduction in differences of prevalence compared to the self-reported medical diagnoses. Differences in prevalence based on a diagnosis of a depressive disorder identified in a clinical interview remained stable, which indicates different groups of persons.

Cost of illness for bipolar disorder: a systematic review of the economic burden.

OBJECTIVES: Recent reviews lack important information on the high cost-of-illness worldwide for bipolar disorder (BD). Therefore, the present study systematically analyzed those costs, their driving components, and the methodological quality with which the few existing cost-of-illness investigations have been performed. METHODS: In June 2012, we conducted a systematic literature review of electronic databases to identify relevant cost-of-illness studies published since 2000. Their methodological quality was assessed. Costs were standardized by first extrapolating them to 2009 using country-specific gross domestic product inflators and then converting them into US dollars via purchasing power parities (PPP). RESULTS: The main characteristics of 22 studies were evaluated. Ignoring outliers, costs per capita ranged from 8,000 to 14,000 US$-PPP for overall direct healthcare, from 4,000 to 5,000 US$-PPP for direct mental healthcare, and from 2,500 to 5,000 US$-PPP for direct BD-related care. Indirect costs ranged from 2,000 to 11,000 US$-PPP. Inpatient care was the main cost driver in three studies; drug costs, in two studies. Methodological quality was deemed satisfactory. CONCLUSIONS: The cost variance was great between studies. This was likely due to differences in methodology rather than healthcare systems, thereby making such comparisons difficult. The results showed that BD has a substantial economic burden on society. To gain more evidence, international standardized checklists are needed when undertaking cost-of-illness studies.

Working atmosphere, job satisfaction and individual characteristics of community mental health professionals in integrated care.

Working requirements of community mental healthcare professionals in integrated care are complex. There is a lack of research concerning the relation of job satisfaction, working atmosphere and individual characteristics. For the current study, a survey evaluating job satisfaction and working atmosphere of mental healthcare professionals in integrated care was performed. About 321 community mental healthcare professionals were included in the survey; the response rate was 59.5%. The professional background of community mental healthcare professionals included nursing, social work and psychology. Community mental healthcare professionals reported the highest satisfaction with colleagues and the lowest satisfaction with income. Moreover, it could be shown that more responsibility, more recognition and more variety in job tasks lead to an increase of overall job satisfaction. Healthcare for mentally ill patients in the community setting is complex and requires well-structured care with appropriate responsibilities within the team. A co-operative relationship among colleagues as well as clearly defined responsibilities seem to be the key for the job satisfaction of community mental healthcare professionals in integrated care.

Development of indicators for a nationwide cross-sectoral quality assurance procedure for mental health care of patients with schizophrenia, schizotypal and delusional disorders in Germany.

PURPOSE: This paper describes the development of quality indicators for an external statutory and cross-sectoral quality assurance (QA) procedure in the context of the German health care system for adult patients suffering from schizophrenia, schizotypal and delusional disorders (F20-F29). METHODS: Indicators were developed by a modified RAND/UCLA Appropriateness Method with 1) the compilation of an indicator register based on a systematic literature search and analyses of health care claims data, 2) the selection of indicators by an expert panel that rated them for relevance and for feasibility regarding implementation. Indicators rated positive for both relevance and feasibility formed the final indicator set. RESULTS: 847 indicators were identified by different searches. Out of these, 56 were selected for the indicator register. During the formal consensus process the expert panel recommended another 45 indicators so that a total of 101 indicators needed to be considered by the panel. Of these, 27 indicators rated both relevant and feasible were included in the final set of indicators: this set included 4 indicators addressing structures, 19 indicators addressing processes and 4 indicators addressing outcomes. 17 indicators of the set will be reported by hospitals and 8 by psychiatric outpatient facilities. Two indicators considered to be cross-sectoral will be reported by both sectors. DISCUSSION: F20-F29 and its treatment show some specific features which so far have not been addressed by any procedure within the statutory QA program of the German health care system. These features include: Schizophrenia and related disorders a) are potentially chronic conditions, b) are mainly treated in outpatient settings, c) require a multi-professional treatment approach and d) are treated regionally in catchment areas. These specific features in combination with the peculiarities of some legal, political and organizational characteristics of the German health care system and its statutory QA program have strongly influenced the development of indicators. The result was a seemingly "imbalanced" set of indicators with a greater number of indicators for inpatient than for outpatient care despite the fact that clinical reality is otherwise. CONCLUSIONS: The circumstances of the German health care system that restricted the development of this cross-sectoral QA procedure addressing care for F20-F29 are also most likely to emerge with the development of cross-sectoral QA procedures for other (potentially) chronic conditions that are mainly treated in the outpatient setting by multi-professional teams or by networks of different providers. In order to be able to develop a QA procedure that mirrors the reality of service provision for (potentially) chronic diseases such as F20-F29 we need to explore further current and new data sources, diminish sectoral borders, and implement health care responsibility on the level of catchment areas.

Hospital utilization outcome of an assertive outreach model for schizophrenic patients - results of a quasi-experimental study.

We assessed whether an Assertive Outreach (AO) program for patients with schizophrenia implemented in German routine care in rural areas reduces psychiatric hospital admissions and/or psychiatric hospital days. We conducted a quasi-experimental controlled study with 5 assessments in 12 months. Data collection included health care utilization (Client Sociodemographic and Service Receipt Inventory), and clinical parameters. The assessments took place in the practices of the psychiatrists. Admission incidence rates were calculated. For bivariate group comparison, we used U-tests, T-tests and Chi(2)-Tests, multivariate analysis was conducted using zero-inflated regression models. For hospital outcomes, data of 295 patients was analysed. No statistically significant differences between AO and TAU patients in terms of hospital admissions or hospital days were found. Overall hospital utilization was low (8%). Advantages of AO over TAU referring to hospital utilization were not found. However, a spill-over effect might have reduced hospital utilization in both groups. Further research should differentiate patient subgroups. These two appear to be key factors to explain effects or absence of effects and to draw conclusions for the mental health care delivery.

The cost of depression - a cost analysis from a large database.

BACKGROUND: Depression poses a serious economic problem. We performed a cost-of-illness study using data from a German health insurance company to determine which costs are unique to that disease. METHODS: The analysis included every adult and continuously insured person. Using claims data from 2007 to 2009, we calculated the costs incurred by persons with depression, including services provided for inpatient and outpatient care, drugs and psychiatric outpatient clinics. Subgroup analyses were done using demographic and disease-specific variables. Longitudinal predictors of depression-related costs were obtained through a generalized estimating equations (GEE) analysis. RESULTS: This investigation involved 117,220 persons. Mean annual depression-specific costs per person were €458.9, with those costs decreasing over the study period. The main cost component (43.9% of the total) was inpatient care. It was found that persons with a severe course of disease and unemployed persons are more costly than other persons. The GEE analysis revealed that gender, age, residency within an urban area, occupational status and the type of diagnosis had a significant impact on these costs. LIMITATIONS: Due to data constraints, we were unable to include all cost categories that might be related to depression and we had no control group of persons without depression. CONCLUSIONS: Due to the influence of the severity of the disease on costs, effective treatment strategies are important in order to prevent a progression of the disease and an increase in costs.