Correction: Siegel et al. PEN-13: A New Generic 13-Item Questionnaire for Measuring Patient Enablement (German Version). Int. J. Environ. Res. Public Health 2019, 16, 4867.

In the original publication [...].

[Development of an indicator set for the evaluation of the population-based integrated healthcare model 'Gesundes Kinzigtal' (Healthy Kinzigtal)]. / Entwicklung eines Indikatorensets zur Evaluation der Integrierten Versorgung Gesundes Kinzigtal.

INTRODUCTION: The project "INTEGRAL-10-year evaluation of the population-based integrated health care model 'Gesundes Kinzigtal' (Healthy Kinzigtal)" (ICM-GK) is funded by the Innovation Committee of the Federal Joint Committee (G-BA) (grant no. 01VSF16002). The evaluation is to be based on a set of indicators that can be captured in routine data. On the one hand, they can be used to assess ICM-GK programs that are program-specific and geared towards prevention and disease management. On the other hand, possible negative side effects of the ICM-GK, which is designed as a "shared savings contract", are to be examined by also observing care needs not covered by the ICM-GK contract. Since an indicator set for the evaluation of regional integrated care (IC) programs in Germany is not yet available, a suitable indicator set should be developed. METHODS: RESULTS: The methodological framework links the OECD concept for quality assessment of health systems with Kessner's tracer methodology. Disease groups with a high prevalence ("common diseases"), prevention potential and potential for improvement through IC were selected as tracers. The literature search resulted in 239 QIs and the QI database search in 293 QIs, which were supplemented by 21 QIs from the focus groups. Out of a total of 553 QIs, 251 QIs remained after removal of duplicates and comparison with the data basis. This preliminary QI set was reduced to 101 QIs by consensus. In addition, 48 health reporting indicators were supplemented which serve to classify regional quality results. The final QI set maps the following 19 disease categories/tracers: heart failure (16 QIs), myocardial infarction (4 QIs), CHD (10 QIs), stroke (6 QIs), metabolic syndrome (7 QIs of which 5 were diabetes-related), COPD (6 QIs), asthma (3 QIs), chronic pain (5 QIs), back pain (3 QIs), geriatrics (7 QIs), dementia (8 QIs), osteoporosis (3 QIs), rheumatism (3 QIs), multiple sclerosis (2 QIs), depression (4 QIs), antibiotic therapy (3 QIs), drug safety (1 QI), child care (5 QIs), early detection/prevention (5 QIs). 33 of these QIs are dedicated to five tracers that are not explicitly ICM-GK programs. Most QIs assess aspects of the effectiveness of care for the chronically ill and measure process quality. DISCUSSION: The set of indicators initially enables the quality assessment of regional, cross-indication care quality in the population-based integrated health care model 'Gesundes Kinzigtal' on the basis of routine data. Although the QI set focuses on effectiveness and process quality, it also includes QIs for preventive and acute care, coordination of care, patient orientation and safety, and outcomes. In contrast to other QI sets, both primary care and specialist health care and integrated, cross-sectoral and cross-professional care aspects have been considered. The benefits of the QI set for comparisons of regional quality and the evaluation of different IC programs remain to be tested. CONCLUSION: On the basis of a broadly based research and participatory development process, a set of indicators has been developed that enables comprehensive evaluation of the regional quality of care of cross-indication, integrated care models focusing on common diseases. In order to be able to increasingly evaluate aspects of care coordination and patient orientation, health promotion as well as nursing, palliative and emergency care in the future, it would be helpful if routine data were collected or made accessible in these areas as well.

PEN-13: A New Generic 13-Item Questionnaire for Measuring Patient Enablement (German Version).

Background: The purpose of our study was to develop and psychometrically test a German-language survey instrument that measures patient enablement generically and in greater detail than previous instruments. Methods: A multidisciplinary team developed 13 items to capture individual aspects of patient enablement (PEN-13). A pre-test with 26 subjects was followed by a random sample survey of N = 1168 subjects. An exploratory factor analysis was conducted in a random split-half sample of the data to explore PEN-13's factor structure; a confirmatory factor analysis was conducted in the validation sample. The internal consistency of the factors was evaluated using Cronbach's alpha, PEN-13's construct validity was checked by means of additional hypothesis testing. Results: The two factors self-management and patient-practitioner interaction, detected in the exploratory analysis, were confirmed with a few modifications in the confirmatory factor analysis, with the comparative fit index (CFI) amounting to 0.903. The Cronbach's alpha values of those two factors amounted to α = 0.90 and α = 0.82, respectively. The correlations of the PEN-13 score with the 'general self-efficacy' and 'health literacy' (HLS-EU-Q16) scores further confirmed its construct validity; the respective correlation coefficients amounted to 0.57 and 0.60. Conclusion: The German version of the survey instrument Patient Enablement Scale-13 items (PEN-13) shows acceptable psychometric properties. Practical implications: PEN-13 seems particularly suitable for health services research purposes. We recommend checking the results in another sample as well as evaluating its responsiveness to enablement-enhancing interventions.