Wolfram J. Herrmann

“I Can’t Prescribe Something Just Because Someone Asks for It . . .” Using Mixed Methods in the Framework of Triangulation

This article demonstrates how a systematic triangulation of research perspectives can provide a methodological framework for the practice of mixed methods research. The authors illustrate the application of a “systematic approach” by focusing on an in-depth case study concerning the management of sleeping problems in nursing homes. Two sources of quantitative data (assessment of the status of residents and medication prescribed by physicians) and several contextualized qualitative approaches—one that focuses on physicians’ interpretive patterns concerning their prescription practices, and another that looks at nursing staff and nursing home residents’ attitudes toward sleep medication—are triangulated. The authors discuss the levels on which these perspectives can be linked, as well as the implications of their case study analysis for the methodological development of a mixed methods approach that is tied to the concept of triangulation.

Validation of the German Version of the Patient Activation Measure 13 (PAM13-D) in an International Multicentre Study of Primary Care Patients

The patients’ active participation in their medical care is important for patients with chronic diseases. Measurements of patient activation are needed for studies and in clinical practice. This study aims to validate the Patient Activation Measure 13 (PAM13-D) in German-speaking primary care patients. This international cross-sectional multicentre study enrolled consecutively patients from primary care practices in three German-speaking countries: Germany, Austria, and Switzerland. Patients completed the PAM13-D questionnaire. General Self-Efficacy scale (GSE) was used to assess convergent validity. Furthermore Cronbach’s alpha was performed to assess internal consistency. Exploratory factor analysis was used to evaluate the underlying factor structure of the items. We included 508 patients from 16 primary care practices in the final analysis. Results were internally consistent, with a Cronbach’s alpha of 0.84. Factor analysis revealed one major underlying factor. The mean values of the PAM13-D correlated significantly (r = 0.43) with those of the GSE. The German PAM13 is a reliable and valid measure of patient activation. Thus, it may be useful in primary care clinical practice and research.

Nursing home residents ' self-perceived resources for good sleep

Objective. To explore the nursing home residents’ self-perceived resources for good sleep. Design. A qualitative research design. Episodic interviews were conducted, and analysis was done using thematic coding. Setting. Five German nursing homes from different providers. Subjects. Thirty nursing home residents who were at least 64 years old and oriented to place and person. Results. The nursing home residents’ self-perceived resources for good sleep can be classified into three general patterns: calmness, daily activity, and environmental factors. The residents see calmness as a psychological state and a prerequisite for good sleep. Rumination was reported as the main reason for disruption of calmness. Daily activity is also seen by residents to foster sleep, but most residents do not know how to be physically active. Environmental factors such as fresh air, silence, or the type of bed contribute individually to good sleep; however, nursing home residents usually lack strategies to foster these resources by themselves. Conclusion. The nursing home residents’ self-perceived resources for good sleep – calmness, daily activity, and environmental factors – can be starting points for non-pharmacological treatment of sleep disorders. The residents’ primary care physicians should explore these individual resources during consultation and attempt to foster them.

Patients' subjective concepts about primary healthcare utilisation: the study protocol of a qualitative comparative study between Norway and Germany

Background In Germany, utilisation of ambulatory healthcare services is high compared with other countries: While a study based on the process data of German statutory health insurances showed an average of 17.1 physician-patient-contacts per year, the comparable figure for Norway is about five. The usual models of healthcare utilisation, such as Rosenstocks Health Belief Model and Andersens Behavioural Model, cannot explain these differences adequately. Organisational factors of the healthcare system, such as gatekeeping, do not explain the magnitude of the differences. Our hypothesis is that patients’ subjective concepts about primary healthcare utilisation play a major role in explaining different healthcare utilisation behaviour in different countries. Hence, the aim of this study is to explore these subjective concepts comparatively, between Germany and Norway. Methods/design With that aim in mind, we chose a comparative qualitative study design. In Norway and Germany, we are going to interview 20 patients each with qualitative episodic interviews. In addition, we are going to conduct participant observation in four German and four Norwegian primary care practices. The data will be analysed by thematic coding. Using selected categories, we are going to conduct comparative case and group analyses. Ethics and dissemination The study adheres to the Declaration of Helsinki. All interviewees will sign informed consent forms and all patients will be observed during consultation. Strict rules for data security will apply. Developed theory and policy implications are going to be disseminated by a workshop, presentations for experts and laypersons and publications.

Regulations of sickness certification as a factor for increased health care utilization in Germany

Traditional measurement models of health care utilization are not able to represent the complex structure of health care utilization. In this qualitative study, we, therefore, developed a new model to represent the health care utilization structure. In Norway and Germany, we conducted episodic interviews, participant observation and a concurrent context analysis. Data was analyzed by thematic coding in the framework of grounded theory. Consultations do very often not only have one single reason for encounter. They are usually not independent events but form part of consultation sequences. We could find structural differences between Norway and Germany regarding the flow of information between consultations and which providers are involved in health care in what way. This leads to a sequential model, in which health care utilization is seen as sequences of consultations. Such health care utilization sequences consist of nodes which are connected by edges. Nodes represent patientprovider contacts and edges depict the flow of information. Time and the level of health care providers are dimensions in the model. These sequences can be described by different measures and aggregated on population level. Thus, the sequential model can be further used in analyzing health care utilization quantitatively, e.g., by using routine data. (aut. ref.)

A sequential model for the structure of health care utilization.

Traditional measurement models of health care utilization are not able to represent the complex structure of health care utilization. In this qualitative study, we, therefore, developed a new model to represent the health care utilization structure. In Norway and Germany, we conducted episodic interviews, participant observation and a concurrent context analysis. Data was analyzed by thematic coding in the framework of grounded theory. Consultations do very often not only have one single reason for encounter. They are usually not independent events but form part of consultation sequences. We could find structural differences between Norway and Germany regarding the flow of information between consultations and which providers are involved in health care in what way. This leads to a sequential model, in which health care utilization is seen as sequences of consultations. Such health care utilization sequences consist of nodes which are connected by edges. Nodes represent patient-provider contacts and edges depict the flow of information. Time and the level of health care providers are dimensions in the model. These sequences can be described by different measures and aggregated on population level. Thus, the sequential model can be further used in analyzing health care utilization quantitatively, e.g., by using routine data.