28 research outputs found

    Patients’ understanding of health information in Germany

    Get PDF
    Background: Patient–physician communication and textual health information are central to health care. Yet, how well patients understand their physicians and written materials is under-studied. Objectives: Focusing on outpatient health care in Germany, the aim of this research was to assess patients’ levels of understanding oral and written health information and to identify associations with socioeconomic variables. Methods: This analysis drew on a 2017 health survey (n=6,105 adults 18 years of age and above). Measures for the quality of patient–physician communication were derived from the Ask Me 3 program questions for consultations with general practitioners (GPs) and specialists (SPs), and for textual health information via a question on the comprehensibility of written materials. Correlations with socioeconomic variables were explored using bivariate and multivariable logistic regression analyses. Results: Over 90% of all respondents reported that they had understood the GP’s and SP’s explanations. A lack of understanding was most notably correlated with patients’ selfreported very poor health (odds ratio [OR]: 5.19; 95% confidence interval [CI]: 2.23–12.10), current health problem (OR: 6.54, CI: 1.70–25.12) and older age (65 years and above, OR: 2.97, CI: 1.10–8.00). Fewer patients reported that they understood written materials well (86.7% for last visit at GP, 89.7% for last visit at SP). Difficulties in understanding written materials were strongly correlated with basic education (OR: 4.20, CI: 2.76–6.39) and older age (65 years and above, OR: 2.66, CI: 1.43–4.96). Conclusions: In order to increase patients’ understanding of health information and reduce inequalities among patient subgroups, meeting the communication needs of patients of older age, low educational status and with poor health is essential

    Coordination of care for multimorbid patients from the perspective of general practitioners - a qualitative study

    Get PDF
    BACKGROUND: In Germany, a decreasing number of general practitioners (GPs) face a growing number of patients with multimorbidity. Whilst care for patients with multimorbidity involves various healthcare providers, the coordination of this care is one of the many responsibilities of GPs. The aims of this study are to identify the barriers to the successful coordination of multimorbid patient care and these patients' complex needs, and to explore the support needed by GPs in the care of multimorbid patients. Interviewees were asked for their opinion on concepts which involve the support by additional employees within the practice or, alternatively, external health care professionals, providing patient navigation. METHODS: Thirty-two semi-structured, qualitative interviews were conducted with 16 GPs and 16 medical practice assistants (MPAs) from 16 different practices in Berlin. A MPA is a qualified non-physician practice employee. He or she undergoes a three years vocational training which qualifies him or her to provide administrative and clinical support. The interviews were digitally recorded, transcribed and analysed using the framework analysis methodology. RESULTS: The results of this paper predominantly focus on GPs' perspectives of coordination within and external to general practice. Coordination in the context of care for multimorbid patients consists of a wide range of different tasks. Organisational and administrative obstacles under the regulatory framework of the German healthcare system, and insufficient communication with other healthcare providers constitute barriers described by the interviewed GPs and MPAs. In order to ensure optimal care for patients with multimorbidity, GPs may have to delegate responsibilities associated with coordinating tasks. GPs consider the deployment of an additional specifically qualified employee inside the general practice to take on coordinative and social and legal duties to be a viable option. CONCLUSIONS: The cross-sectoral cooperation between all involved key players working within the healthcare system, as well as the coordination of the whole care process, is seemingly challenging for GPs within the complex care system of multimorbid patients. GPs are generally open to the assignment of a person to support them in coordination tasks, preferably situated within the practice team

    Perceived need for treatment and non-utilization of outpatient psychotherapy in old age: two cohorts of a nationwide survey

    Get PDF
    Beackground: Older adults with mental health problems may benefit from psychotherapy; however, their perceived need for treatment in relation to rates of non-utilization of outpatient psychotherapy as well as the predisposing, enabling, and need factors proposed by Andersen's Model of Health Care Utilization that account for these differences warrant further investigation. Methods: We used two separate cohorts (2014 and 2019) of a weighted nationwide telephone survey in Germany of German-speaking adults with N=12,197 participants. Across the two cohorts, 12.9% (weighted) reported a perceived need for treatment for mental health problems and were selected for further analyses. Logistic Generalized Estimation Equations (GEE) was applied to model the associations between disposing (age, gender, single habiting, rural residency, general health status), enabling (education, general practitioner visit) non-utilization of psychotherapy (outcome) across cohorts in those with a need for treatment (need factor). Results: In 2014, 11.8% of 6087 participants reported a perceived need for treatment due to mental health problems. In 2016, the prevalence increased significantly to 14.0% of 6110 participants. Of those who reported a perceived need for treatment, 36.4% in 2014 and 36.9%in 2019 did not see a psychotherapist - where rates of non-utilization of psychotherapy were vastly higher in the oldest age category (59.3/52.5%; 75+) than in the youngest (29.1/10.7%; aged 18-25). Concerning factors associated with non-utilization, multivariate findings indicated participation in the cohort of 2014 (OR 0.94), older age (55-64 OR 1.02, 65-74 OR 1.47, 75+ OR 4.76), male gender (OR 0.83), lower educational status (OR 0.84), rural residency (OR 1.38), single habiting (OR 1.37), and seeing a GP (OR 1.39) to be related with non-utilization of psychotherapy; general health status was not significantly associated with non-utilization when GP contact was included in the model. Conclusion: There is a strong age effect in terms of non-utilization of outpatient psychotherapy. Individual characteristics of both healthcare professionals and patients and structural barriers may add to this picture. Effective strategies to increase psychotherapy rates in those older adults with unmet treatment needs are required

    A study based on claims data from a German health insurance fund

    Get PDF
    Background The objective of this study is to investigate the effect of age on care dependency risk 1 year after stroke. Two research questions are addressed: (1) How strong is the association between age and care dependency risk 1 year after stroke and (2) can this association be explained by burden of disease? Methods The study is based on claims data from a German statutory health insurance fund. The study population was drawn from all continuously insured members with principal diagnoses of ischaemic stroke, hemorrhagic stroke, or transient ischaemic attack in 2007 who survived for 1 year after stroke and who were not dependent on care before their first stroke (n = 2864). Data were collected over a 1-year period. People are considered to be dependent on care if they, due to a physical, mental or psychological illness or disability, require substantial assistance in carrying out activities of daily living for a period of at least 6 months. Burden of disease was assessed by stroke subtype, history of stroke, comorbidities as well as geriatric multimorbidity. Regression models were used for data analysis. Results 21.6 % of patients became care dependent during the observation period. Post-stroke care dependency risk was significantly associated with age. Relative to the reference group (0–65 years), the odds ratio of care dependency was 11.30 (95 % CI: 7.82–16.34) in patients aged 86+ years and 5.10 (95 % CI: 3.88–6.71) in patients aged 76–85 years. These associations were not explained by burden of disease. On the contrary, age effects became stronger when burden of disease was included in the regression model (by between 1.1 and 28 %). Conclusions Our results show that age has an effect on care dependency risk that cannot be explained by burden of disease. Thus, there must be other underlying age- dependent factors that account for the remaining age effects (e.g., social conditions). Further studies are needed to explore the causes of the strong age effects observed

    Is there an association between social determinants and care dependency risk? A multi‐state model analysis of a longitudinal study

    Get PDF
    Despite a growing body of knowledge about the morbidities and functional impairment that frequently lead to care dependency, the role of social determinants is not yet well understood. The purpose of this study was to examine the effect of social determinants on care dependency onset and progression. We used data from the Berlin Initiative Study, a prospective, population-based cohort study including 2,069 older participants living in Berlin. Care dependency was defined as requiring substantial assistance in at least two activities of daily living for 90 min daily (level 1) or 3+ hours daily (level 2). Multi-state time to event regression modeling was used to estimate the effects of social determinants (partnership status, education, income, and sex), morbidities, and health behaviors, characteristics, and conditions. During the study period, 556 participants (27.5%) changed their status of care dependency. Participants without a partner at baseline were at a higher risk to become care-dependent than participants with a partner (hazard ratio [HR], 95% confidence interval [CI]: 1.24 (1.02-1.51)). After adjustment for other social determinants, morbidities and health behaviors, characteristics, and conditions the risk decreased to a HR of 1.19 (95% CI: 0.79-1.79). Results indicate that older people without a partner may tend to be at higher risk of care dependency onset but not at higher risk of care dependency progression. Clinicians should inquire about and consider patients' partnership status as they evaluate care needs

    Network information and connected correlations

    Full text link
    Entropy and information provide natural measures of correlation among elements in a network. We construct here the information theoretic analog of connected correlation functions: irreducible NN--point correlation is measured by a decrease in entropy for the joint distribution of NN variables relative to the maximum entropy allowed by all the observed N−1N-1 variable distributions. We calculate the ``connected information'' terms for several examples, and show that it also enables the decomposition of the information that is carried by a population of elements about an outside source.Comment: 4 pages, 3 figure

    Support for General Practitioners in the Care of Patients with Complex Needs: A Questionnaire Survey of General Practitioners in Berlin

    Get PDF
    OBJECTIVES Because of demographic changes, new models of care are important for supporting general practitioners in the care of patients with complex needs. This study addresses the question of the type of support that is requested by general practitioners working in Berlin. METHODS All general practitioners working in Berlin (n=2354) were asked between August and September 2018 to return a questionnaire by post which has been developed for this study. Questions addressed support needs as well as support models within the practice (delegation, substitution) and outside the practice (social worker, navigator, community care points). Data were analysed descriptively and by exploratory multivariate analysis to show the influence of practice and doctor characteristics on the preference of support models (age, gender, location of the practice, type of practice, working hours). RESULTS A total of 557 questionnaires (response rate 23.7%) were included in the analysis. Need for support was seen particularly for administrative, coordinative and organisational tasks and for advice on social issues. The majority of the study participants approved delegation and substitution. In their view, it was conceivable to get support from professionals or institutions outside their practice, such as mobile care services, community care points, social workers or navigators. Particularly younger and female doctors working in group practices were open for cooperative care models integrating other health professions. CONCLUSIONS There is unused potential for delegation and cooperation within existing structures. Further research should investigate the acceptance and feasibility of different support models.ZIEL Vor dem Hintergrund der demografischen Entwicklung werden zukĂŒnftig Versorgungsmodelle wichtig, die HausĂ€rzte in der Versorgung von Patienten mit komplexem Bedarf unterstĂŒtzen können. Die vorliegende Fragebogenstudie untersucht, welche Formen der UnterstĂŒtzung sich Berliner HausĂ€rzte wĂŒnschen. METHODIK Alle niedergelassenen HausĂ€rzte Berlins (n=2354) wurden im Zeitraum August bis September 2018 postalisch gebeten, einen fĂŒr die Fragestellung entwickelten Fragebogen auszufĂŒllen. Die Fragen adressierten den UnterstĂŒtzungsbedarf sowie verschiedene UnterstĂŒtzungsmodelle. Es wurde zwischen UnterstĂŒtzungsmöglichkeiten innerhalb (Delegation, Substitution) und außerhalb (Sozialarbeiter, Versorgungslotsen, PflegestĂŒtzpunkt) von Hausarztpraxen differenziert. Die Auswertung erfolgte deskriptiv, sowie explorativ multivariat in Bezug auf ZusammenhĂ€nge zwischen der Zustimmung zu UnterstĂŒtzungsmodellen und Praxis- bzw. Arztcharakteristika (Alter, Geschlecht der Ärzte, Lage der Praxis, Praxisform, Arbeitszeit). ERGEBNISSE 557 Fragebögen (Response Rate 23,7%) wurden ausgewertet. UnterstĂŒtzungsbedarf wurde v. a. fĂŒr administrative, koordinative und organisatorische TĂ€tigkeiten gesehen sowie fĂŒr soziale und sozialrechtliche Fragestellungen. Ein Großteil der teilnehmenden hausĂ€rztlichen Praxen steht sowohl der Delegation als auch der Substitution Ă€rztlicher Leistungen positiv gegenĂŒber. DarĂŒber hinaus ist fĂŒr HausĂ€rzte auch UnterstĂŒtzung außerhalb der eigenen Praxis durch Mitarbeiter eines ambulanten Pflegedienstes, eines PflegestĂŒtzpunktes, oder durch Sozialarbeiter und Versorgungslotsen vorstellbar. Insbesondere jĂŒngere und weibliche HausĂ€rzte sowie diejenigen, die bereits in kooperativen Praxis-Strukturen tĂ€tig sind, sind offen fĂŒr kooperative AnsĂ€tze unter Einbeziehung weiterer Gesundheitsberufe. SCHLUSSFOLGERUNG Es bestehen noch unzureichend genutzte Potenziale der Delegation und der Kooperation mit bestehenden Strukturen. Die hier befragten Berliner HausĂ€rzte zeigten ein hohes Maß an Zustimmung zu Delegation und Substitution. Aber auch Gesundheitsberufe und Institutionen außerhalb der eigenen Praxis könnten die HausĂ€rzte stĂ€rker unterstĂŒtzen. Insbesondere fĂŒr administrative und koordinative TĂ€tigkeiten sowie fĂŒr soziale und sozialrechtliche Fragestellungen wird UnterstĂŒtzungsbedarf gesehen. In weiteren Untersuchungen sollte die Akzeptanz unter der Ärzteschaft und die Machbarkeit unterschiedlicher Modelle weiter untersucht werden

    Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence

    Get PDF
    Machine learning has greatly facilitated the analysis of medical data, while the internal operations usually remain intransparent. To better comprehend these opaque procedures, a convolutional neural network for optical coherence tomography image segmentation was enhanced with a Traceable Relevance Explainability (T-REX) technique. The proposed application was based on three components: ground truth generation by multiple graders, calculation of Hamming distances among graders and the machine learning algorithm, as well as a smart data visualization ('neural recording'). An overall average variability of 1.75% between the human graders and the algorithm was found, slightly minor to 2.02% among human graders. The ambiguity in ground truth had noteworthy impact on machine learning results, which could be visualized. The convolutional neural network balanced between graders and allowed for modifiable predictions dependent on the compartment. Using the proposed T-REX setup, machine learning processes could be rendered more transparent and understandable, possibly leading to optimized applications

    Sexual uses of alcohol and drugs and the associated health risks: A cross sectional study of young people in nine European cities

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Young people in European countries are experiencing high levels of alcohol and drug use and escalating levels of sexually transmitted infections. Individually these represent major public health priorities. Understanding of the association between sex and substance use, and specifically the strategic roles for which young people utilise substances to facilitate sexual activity, remains limited.</p> <p>Methods</p> <p>Respondent driven sampling methodology was used in nine European cities to survey 1,341 16–35 year olds representing youth and younger adults who routinely engage in nightlife. Participants self-completed questionnaires, designed to gather demographic, social, and behavioural data on historic and current substance use and sexual behaviour.</p> <p>Results</p> <p>Respondents reported strategic use of specific substances for different sexual purposes. Substances differed significantly in the purposes for which each was deployed (e.g. 28.6% of alcohol users use it to facilitate sexual encounters; 26.2% of cocaine users use it to prolong sex) with user demographics also relating to levels of sexual use (e.g. higher levels of: ecstasy use by males to prolong sex; cocaine use by single individuals to enhance sensation and arousal). Associations between substance use and sex started at a young age, with alcohol, cannabis, cocaine or ecstasy use before age 16 all being associated with having had sex before the age of 16 (odds ratios, 3.47, 4.19, 5.73, 9.35 respectively). However, sexes differed and substance use under 16 years was associated with a proportionately greater increase in early sex amongst girls. Respondents' current drug use was associated with having multiple sexual partners. Thus, for instance, regular cocaine users (c.f. never users) were over five times more likely to have had five or more sexual partners in the last 12 months or have paid for sex.</p> <p>Conclusion</p> <p>An epidemic of recreational drug use and binge drinking exposes millions of young Europeans to routine consumption of substances which alter their sexual decisions and increase their chances of unsafe and regretted sex. For many, substance use has become an integral part of their strategic approach to sex, locking them into continued use. Tackling substances with both physiological and psychological links to sex requires approaching substance use and sexual behaviour in the same way that individuals experience them; as part of the same social process.</p
    corecore