Do in-person and computer-based brief alcohol interventions reduce tobacco smoking among general hospital patients? Secondary outcomes from a randomized controlled trial.

BACKGROUND: At-risk alcohol use and tobacco smoking often co-occur. We investigated whether brief alcohol interventions (BAIs) among general hospital patients with at-risk alcohol use may also reduce tobacco smoking over 2 years. We also investigated whether such effects vary by delivery mode; i.e. in-person versus computer-based BAI. METHODS: A proactively recruited sample of 961 general hospital patients with at-risk alcohol use aged 18 to 64 years was allocated to three BAI study groups: in-person BAI, computer-based BAI, and assessment only. In-person- and computer-based BAI included motivation-enhancing intervention contacts to reduce alcohol use at baseline and 1 and 3 months later. Follow-ups were conducted after 6, 12, 18 and 24 months. A two-part latent growth model, with self-reported smoking status (current smoking: yes/no) and number of cigarettes in smoking participants as outcomes, was estimated. RESULTS: Smoking participants in computer-based BAI smoked fewer cigarettes per day than those assigned to assessment only at month 6 (meannet change = - 0.02; 95% confidence interval = - 0.08-0.00). After 2 years, neither in-person- nor computer-based BAI significantly changed smoking status or number of cigarettes per day in comparison to assessment only or to each other (ps ≥ 0.23). CONCLUSIONS: While computer-based BAI also resulted in short-term reductions of number of cigarettes in smoking participants, none of the two BAIs were sufficient to evoke spill-over effects on tobacco smoking over 2 years. For long-term smoking cessation effects, multibehavioural interventions simultaneously targeting tobacco smoking along with at-risk alcohol use may be more effective. TRIAL REGISTRATION NUMBER: NCT01291693.

Study on Health of Older People in Germany (Gesundheit 65+): objectives, design and implementation.

Background: The longitudinal population-based study Gesundheit 65+ aimed to close data gaps on health and well-being of older adults in Germany in times of the COVID-19 pandemic. Methods: The target population comprised persons 65 years and older permanently residing in Germany and with sufficient German language skills. Proxy interviews were possible and consent from legal representatives was obtained as necessary in order to enable participation of physically or cognitively impaired persons. A two-stage sampling process, was used to draw 128 primary sample points (PSUs) and within these PSUs sex- and age-stratified random samples were drawn from population registries. A mixed-mode design was applied to contact the study population and for data collection. Data were collected between June 2021 and April 2023. Participants were surveyed a total of four times at intervals of four months. At month 12 participants were offered a home visit including a non-invasive examination. Data on all-cause mortality and information on neighborhood social and built environment as well as health insurance data will be linked to primarily collected data at the individual level. Discussion: Results will inform health politicians and other stakeholders in the care system on health and health care needs of older people in Germany.

Health status of the old and very old people in Germany: results of the Gesundheit 65+ study.

Background: The demographic change makes comprehensive health reporting on health at older age an important topic. Methods: Gesundheit 65+ is a longitudinal epidemiological study on the health status of persons aged 65 and older in Germany. Based on a two-stage stratified random sample from 128 local population registers, 3,694 persons participated in the baseline survey between June 2021 and April 2022 (47.9 % women, mean age 78.8 years). Weighted prevalences for 19 indicators of the baseline survey are presented overall and by age, sex, education and region of residence. Results: Overall, 52.0 % of all participants of the baseline survey reported to be in good or very good health, and 78.5 % reported high or very high satisfaction with their life. This was in contrast to the large number of health/functional limitations whose prevalences ranged from 5.3 % for severe visual limitations to 69.2 % for multimorbidity. The health status of women was clearly worse than that of men, and the health status of persons aged 80 and older was worse than between 65 and 79 years of age. There was a clear educational gradient evident in the health status, but there were no differences between West and East Germany. Conclusions: Gesundheit 65+ provides a comprehensive database for description of the health status of old and very old people in Germany, on the basis of which recommendations for action for policy and practice can be derived.

Long-term health consequences among individuals with SARS-CoV-2 infection compared to individuals without infection: results of the population-based cohort study CoMoLo Follow-up.

BACKGROUND: Most of the previous studies on health sequelae of COVID-19 are uncontrolled cohorts and include a relatively short follow-up. This population-based multi-center cohort study examined health consequences among individuals about 1 to 1.5 years after SARS-CoV-2 infection compared with non-infected. METHODS: The study population consisted of adults (≥ 18 years) from four municipalities particularly affected by the COVID-19 pandemic in the year 2020 who completed a detailed follow-up questionnaire on health-related topics. Exposure was the SARS-CoV-2 infection status (based on IgG antibodies, PCR test, or physician-diagnosis of COVID-19) at baseline (May to December 2020). Outcomes assessed at follow-up (October 2021 to January 2022; mean: 452 days) included recurrent or persistent health complaints, incident diseases, health-related quality of life (PROMIS-29), subjective health, and subjective memory impairment. Logistic and linear regression models were adjusted for baseline sociodemographic and lifestyle characteristics (age, sex, municipality, education, smoking, body mass index), pre-existing health conditions (chronic disease/health problem, health-related activity limitation, depressive/anxiety disorder), and follow-up time. RESULTS: Among 4817 participants, 350 had a SARS-CoV-2 infection at baseline and 4467 had no infection at baseline or during follow-up. Those with an infection statistically significantly more often reported 7 out of 18 recurrent or persistent health complaints at follow-up: smell/taste disorders (12.8% vs. 3.4%, OR 4.11), shortness of breath (23.0% vs. 9.5%, 3.46), pain when breathing (4.7% vs. 1.9%, 2.36), fatigue (36.9% vs. 26.1%, 1.76), weakness in legs (12.8% vs. 7.8%, 1.93), myalgia/joint pain (21.9% vs. 15.1%, 1.53) and cough (30.8% vs. 24.8%, 1.34) and 3 out of 6 groups of incident diseases: liver/kidney (2.7% vs. 0.9%, 3.70), lung (3.2% vs. 1.1%, 3.50) and cardiovascular/metabolic (6.5% vs. 4.0%, 1.68) diseases. Those with an infection were significantly more likely to report poor subjective health (19.3% vs. 13.0%, 1.91), memory impairment (25.7% vs. 14.3%, 2.27), and worse mean scores on fatigue and physical function domains of PROMIS-29 than non-infected. CONCLUSION: Even after more than one year, individuals with SARS-CoV-2 infection showed an increased risk of various health complaints, functional limitations, and worse subjective well-being, pointing toward profound health consequences of SARS-CoV-2 infection relevant for public health.

Informal caregivers in Germany - who are they and which risks and resources do they have?

Background: The aim of this study is to describe the social characteristics, the health and living situation and the prevalence of behavioral risk factors of adult informal caregivers compared to non-caregivers in Germany. Methods: We used data from the German Health Update (GEDA 2019/2020-EHIS survey) which is a cross-sectional population-based health interview survey conducted between 04/2019 and 09/2020. The sample comprised 22,646 adults living in private households. Three mutually exclusive groups of providing informal care or assistance were differentiated: intense caregivers (informal care ≥10 h/week), less-intense caregivers (informal care<10 h/week) and non-caregivers. For the three groups weighted prevalences of social characteristics, health status (self-perceived health, health-related activity limitations, chronic diseases, low back disorder or other chronic back defect, depressive symptoms), behavioral risk factors (at-risk drinking, current smoking, insufficient physical activity, non-daily fruit and vegetable consumption, obesity) and social risk factors (single household, low social support) were calculated and stratified by gender. Separate regression analyses adjusted for age-group were conducted to identify significant differences between intense and less-intense caregivers vs. non-caregivers, respectively. Results: Overall, 6.5% were intense caregivers, 15.2% less-intense caregivers and 78.3% non-caregivers. Women provided care more often (23.9%) than men (19.3%). Informal care was most frequently provided in the age group of 45 to 64 years. Intense caregivers reported worse health status, were more often current smokers, physical inactive, obese and lived less often alone than non-caregivers. However, in age-group adjusted regression analyses only few significant differences were seen: Female and male intense caregivers had more often a low back disorder and lived less often alone compared to non-caregivers. In addition, male intense care-givers reported more often worse self-perceived health, health-related activity limitation, and the presence of chronic diseases. In contrast, less-intense caregivers and non-caregivers differed in favor of the less-intense caregivers. Discussion: A substantial proportion of the adult German population provides informal care regularly, especially women. Intense caregivers are a vulnerable group for negative health outcomes, especially men. In particular measures to prevent low back disorder should be provided. As the necessity of providing informal care will probably increase in the future, this will be important for the society and public health.

Health behaviors of general hospital patients with at-risk alcohol use: Change over two years after discharge.

OBJECTIVE: Little is known about the natural course of health-related behaviors such as tobacco smoking, at-risk alcohol use, vegetable and fruit intake and physical activity in general hospital patients after discharge. The aim was to investigate whether patients identified with at-risk alcohol use change their health-related behaviors over two years. METHODS: Eighteen to 64-year-old patients with at-risk alcohol use were identified through systematic screening as part of a randomized controlled trial. Patients with indication of an alcohol use disorder were excluded. Data of patients who received treatment as usual were analyzed (n = 220). Alcohol use, tobacco smoking, vegetable/ fruit intake, physical activity and body-mass-index were assessed at baseline, after 6, 12, 18, and 24 months. Latent growth models were calculated. RESULTS: Twenty-four months after discharge, participants reported less physical activity (p = .04), a higher body-mass-index (p = .01), no change in vegetable/ fruit intake (p = .11) and smoking status (p = .87), fewer cigarettes per week among smokers (p < .001), and less alcohol use (p < .001) compared to baseline. CONCLUSIONS: The data revealed that patients with at-risk alcohol use increased or did not change energy-balance related behaviors and decreased substance-use related behaviors over 2 years after hospitalization. These findings underline the need of implementing multi-behavioral interventions into routine care.

The Role of Sex and Age in Moderating the Outcome of In-Person and Computer-Based Brief Alcohol Interventions at General Hospitals: Reanalysis of a Brief Intervention Study.

INTRODUCTION: The aim of this study was to test whether brief alcohol interventions at general hospitals work equally well for males and females and across age-groups. METHODS: The current study includes a reanalysis of data reported in the PECO study (testing delivery channels of individualized motivationally tailored alcohol interventions among general hospital patients: in PErson vs. COmputer-based) and is therefore of exploratory nature. At-risk drinking general hospital patients aged 18-64 years (N = 961) were randomized to in-person counseling, computer-generated individualized feedback letters, or assessment only. Both interventions were delivered on the ward and 1 and 3 months later. Follow-ups were conducted at months 6, 12, 18, and 24. The outcome was grams of alcohol/day. Study group × sex and study group × age interactions were tested as predictors of change in grams of alcohol/day over 24 months in latent growth models. If rescaled likelihood ratio tests indicated improved model fit due to the inclusion of interactions, moderator level-specific net changes were calculated. RESULTS: Model fit was not significantly improved due to the inclusion of interaction terms between study group and sex (χ2[6] = 5.9, p = 0.439) or age (χ2[6] = 5.5, p = 0.485). DISCUSSION: Both in-person counseling and computer-generated feedback letters may work equally well among males and females as well as among different age-groups. Therefore, widespread delivery of brief alcohol interventions at general hospitals may be unlikely to widen sex and age inequalities in alcohol-related harm.

Health situation in Germany during the COVID-19 pandemic. Developments over time for selected indicators of GEDA 2019/2020 - An update.

The spread of the coronavirus SARS-CoV-2 in 2020 and the containment measures associated therewith have changed many aspects of daily life. An impact on health even beyond infections itself is assumed as well. The health situation of the population in the first phase of the pandemic was thus analysed using data from the German Health Update (GEDA 2019/2020-EHIS). By continuing the survey, the analyses for 2020 are completed (n=26,507 participants), whereby the focus is now on the third phase of the pandemic (second wave of infection, gradual reintroduction of containment measures). The health indicators are presented on a monthly basis. As in the first phase of the pandemic, no pandemic-related changes were observed for tobacco smoking/ second-hand smoke exposure and for received/lack of/provided support. In contrast to the first phase of the pandemic, declines in utilisation of medical services and depressive symptoms are not observed in the third phase. The increase in body weight/body mass index after the first phase of the pandemic did not continue. The survey period allows for a comparison of the periods before and as of the pandemic situation. A decrease in the medical services utilisation and depressive symptoms as well as an increase in the body weight/body mass index is observed in the period from March 2020 to January 2021 compared to the pre-pandemic period from April 2019 to March 2020.

The Role of Tobacco Smoking in the Efficacy of Brief Alcohol Intervention: Results from a Randomized Controlled Trial.

This study investigated whether tobacco smoking affected outcomes of brief alcohol interventions (BAIs) in at-risk alcohol-drinking general hospital patients. Between 2011 and 2012 among patients aged 18−64 years, 961 patients were allocated to in-person counseling (PE), computer-based BAI containing computer-generated individual feedback letters (CO), and assessment only. PE and CO included contacts at baseline, 1, and 3 months. After 6, 12, 18, and 24 months, self-reported reduction of alcohol use per day was assessed as an outcome. By using latent growth curve models, self-reported smoking status, and number of cigarettes per day were tested as moderators. In PE and CO, alcohol use was reduced independently of smoking status (IRRs ≤ 0.61, ps < 0.005). At month 24, neither smoking status nor number of cigarettes per day moderated the efficacy of PE (IRR = 0.69, ps > 0.05) and CO (IRR = 0.85, ps > 0.05). Up to month 12, among persons smoking ≤ 19 cigarettes per day, the efficacy of CO increased with an increasing number of cigarettes (ps < 0.05). After 24 months, the efficacy of PE and CO that have been shown to reduce drinking did not differ by smoking status or number of cigarettes per day. Findings indicate that efficacy may differ by the number of cigarettes in the short term.

Behavioral Health Risk Factors and Motivation to Change among Cardiovascular General Hospital Patients Aged 50 to 79 Years.

Little is known about the (co-)occurrence of smoking, alcohol at-risk drinking, physical inactivity and overweight, and the motivation to change these behavioral health risk factors (HRFs) in older general hospital patients with cardiovascular disease. Between October and December 2016, all consecutively admitted patients aged 50 to 79 years were proactively recruited on 3 cardiology wards and asked to participate in a survey on HRFs and behavior change motivation. Of the eligible patients, 80.4% participated in the survey (n = 328). The mean age was 66.5 years (standard deviation 9.0), and 65.5% were male. At least 1 HRF was present in 91.8% (n = 280), at least 2 HRFs in 54.4% (n = 166), and 3 or 4 HRFs in 12.1% (n = 37) of participants. The proportion of older adults who contemplated or were changing or planning to change their behavior to meet health behavior recommendations ranged between 66.0% (smoking) and 93.2% (alcohol consumption). The results indicate a notable co-occurrence of behavioral HRFs in older patients with cardiovascular disease. The majority of older adults were at least considering changing the respective behavior. To prevent and treat diseases efficiently, hospitalization may be a suitable moment for systematic multiple HRF screening and intervention.

Limitations in activities of daily living and support needs - Analysis of GEDA 2019/2020-EHIS.

Being able to perform activities of daily living is an important component of a person's ability to function. If these activities are impaired, support is needed. Using data from GEDA 2019/2020-EHIS, we present how many people aged 55 and older living in private households in Germany experience limitations in activities of daily living. Severe limitations in basic (fundamental) activities (e.g. food intake) are reported by 5.8% of women and 3.7% of men. The proportion increases with age as 13.4% of women and 9.0% of men aged 80 and older experience limitations. Severe limitations of instrumental activities of daily living (e.g. grocery shopping) are rather rare in participants less than 80 years of age. But at age 80 and older the proportion rises to 35.9% of women and 21.0% of men. A total of 68.1% of afflicted women and 57.5% of men receive help and support related to limitations of basic activities. Women are also more likely to report a lack of support (48.8% vs. 43.2%). The situation is slightly better with regard to instrumental activities. The results of GEDA 2019/2020-EHIS show in which areas of daily life older and very old people are impaired, give an impression of who is affected particularly strongly and indicate where support services are insufficient. As such, these results provide clues as to where support can be provided to enable older people to keep living in their own homes for a long time.

Social Equity in the Efficacy of Computer-Based and In-Person Brief Alcohol Interventions Among General Hospital Patients With At-Risk Alcohol Use: A Randomized Controlled Trial.

BACKGROUND: Social equity in the efficacy of behavior change intervention is much needed. While the efficacy of brief alcohol interventions (BAIs), including digital interventions, is well established, particularly in health care, the social equity of interventions has been sparsely investigated. OBJECTIVE: We aim to investigate whether the efficacy of computer-based versus in-person delivered BAIs is moderated by the participants' socioeconomic status (ie, to identify whether general hospital patients with low-level education and unemployed patients may benefit more or less from one or the other way of delivery compared to patients with higher levels of education and those that are employed). METHODS: Patients with nondependent at-risk alcohol use were identified through systematic offline screening conducted on 13 general hospital wards. Patients were approached face-to-face and asked to respond to an app for self-assessment provided by a mobile device. In total, 961 (81% of eligible participants) were randomized and received their allocated intervention: computer-generated and individually tailored feedback letters (CO), in-person counseling by research staff trained in motivational interviewing (PE), or assessment only (AO). CO and PE were delivered on the ward and 1 and 3 months later, were based on the transtheoretical model of intentional behavior change and required the assessment of intervention data prior to each intervention. In CO, the generation of computer-based feedback was created automatically. The assessment of data and sending out feedback letters were assisted by the research staff. Of the CO and PE participants, 89% (345/387) and 83% (292/354) received at least two doses of intervention, and 72% (280/387) and 54% (191/354) received all three doses of intervention, respectively. The outcome was change in grams of pure alcohol per day after 6, 12, 18, and 24 months, with the latter being the primary time-point of interest. Follow-up interviewers were blinded. Study group interactions with education and employment status were tested as predictors of change in alcohol use using latent growth modeling. RESULTS: The efficacy of CO and PE did not differ by level of education (P=.98). Employment status did not moderate CO efficacy (Ps≥.66). Up to month 12 and compared to employed participants, unemployed participants reported significantly greater drinking reductions following PE versus AO (incidence rate ratio 0.44, 95% CI 0.21-0.94; P=.03) and following PE versus CO (incidence rate ratio 0.48, 95% CI 0.24-0.96; P=.04). After 24 months, these differences were statistically nonsignificant (Ps≥.31). CONCLUSIONS: Computer-based and in-person BAI worked equally well independent of the patient's level of education. Although findings indicate that in the short-term, unemployed persons may benefit more from BAI when delivered in-person rather than computer-based, the findings suggest that both BAIs have the potential to work well among participants with low socioeconomic status. TRIAL REGISTRATION: ClinicalTrials.gov NCT01291693; https://clinicaltrials.gov/ct2/show/NCT01291693.

Older people at the beginning of the COVID-19 pandemic: A scoping review.

This scoping review focuses on evidence gaps regarding the effects on health, social participation and life contexts of older people at the beginning of the COVID-19 pandemic. It is based on a systematic search strategy of the international literature covering a period between December 2019 and June 2020. The review is supplemented by a search of the websites of selected organisations in Germany (cut-off date: 29 June 2020). Search hits were differentiated by types of publication (empirical study, review, discussion paper). The contents were summarised in tabular form according to topic. The publications mainly discussed the high risks of suffering severe courses of COVID-19 faced by older people, specifically those belonging to certain subgroups. In addition, further main topics were the pandemic's indirect impacts on physical and mental health, physical and cognitive functions and participation in society. Social isolation, loneliness, reduced levels of physical activity and difficulties in maintaining care were discussed as major health risks. Ageism was an issue that was addressed across all of the identified topics. The publications highlighted the need, but also the opportunity, for raising public awareness of the needs of older people in various life contexts. Publications pointed to the urgent need for research into the biological and social causes of older peoples' high infection risk and how measures could be adapted in a differentiated manner (infection prevention and control measures, social support, medical and nursing care).

Sick days in general hospital patients two years after brief alcohol intervention: Secondary outcomes from a randomized controlled trial.

Little is known about the long-term impact of brief alcohol interventions (BAIs) on health and on sick days in particular. The aim was to investigate whether BAIs reduce sick days in general hospital patients over two years, and whether effects depend on how BAIs are delivered; either through in-person counseling (PE) or computer-generated written feedback (CO). To investigate this, secondary outcome data from a three-arm randomized controlled trial with 6-, 12-, 18- and 24-month follow-ups were used. The sample included 960 patients (18-64 years) with at-risk alcohol use identified through systematic screening on 13 hospital wards. Patients with particularly severe alcohol problems were excluded. Participants were allocated to PE, CO and assessment only (AO). Both interventions were tailored according to behavior change theory and included three contacts. Self-reported number of sick days in the past 6 months was assessed at all time-points. A zero-inflated negative binomial latent growth model adjusted for socio-demographics, substance use related variables and medical department was calculated. In comparison to AO, PE (OR = 2.18, p = 0.047) and CO (OR = 2.08, p = 0.047) resulted in statistically significant increased odds of reporting no sick days 24 months later. Differences between PE and CO, and concerning sick days when any reported, were non-significant. This study provides evidence for the long-term efficacy of BAIs concerning health, and concerning sick days in particular. BAIs have the potential to reduce the occurrence of sick days over 2 years, independent of whether they are delivered through in-person counseling or computer-generated written feedback.

Developments in the health situation in Germany during the initial stage of the COVID-19 pandemic for selected indicators of GEDA 2019/2020-EHIS.

SARS-CoV-2, the novel coronavirus, has posed major challenges in Germany in 2020. It is unclear whether the pandemic and containment measures will have an impact on the health of the population beyond the point of infection. The German Health Update (GEDA 2019/2020-EHIS) is a nationwide survey of the population aged 15 years and older (n=23,001) that was conducted between April 2019 and September 2020. The focus of the analysis was on indicators for which pandemic-related changes could be expected. Based on regression models, adjusted proportions and mean values were estimated as trends over time. Any differences in the values found for the time period of containment measures in spring 2020 and the reference period 2019 were statistically tested. Since the implementation of containment measures, both body weight and body mass index (BMI) have increased. The utilisation of general and specialist medical services decreased temporarily. The number of tobacco smokers during the observation period also decreased, yet without revealing a clear link to the pandemic situation. No differences were found in the general population for depressive symptoms and household assistance received and provided. During the period of containment measures, changes to the health situation beyond the occurrence of infections can be observed. However, a more differentiated explanation of these findings will require further analyses.

Corrigendum: Developments in the health situation in Germany during the initial stage of the COVID-19 pandemic for selected indicators of GEDA 2019/2020-EHIS.

[This corrects the article on p. 3-20 in vol. 5.].

Behavioral health risk factor profiles in general hospital patients: identifying the need for screening and brief intervention.

BACKGROUND: Little is known about the clustering of behavioral health risk factors (HRFs), namely the occurrence of 16 specific combinations of tobacco smoking, at-risk alcohol use, overweight and physical inactivity in general hospital patients. Furthermore, social inequalities in HRFs, health and life expectancy are a major concern in public health. In order to establish the need for screening and intervention in general hospital care, the study aimed to determine the co-occurrence of HRFs in patients in four medical departments, and to investigate differences by gender, age and socio-economic characteristics. METHODS: Over 17 months, a systematic multiple HRF screening was conducted at one general hospital in northeastern Germany. In total, 6251 18-64 year old patients (92% of eligibles) participated. Proportions and confidence intervals were calculated for all 16 HRF profiles stratified by department, gender, age group, school education, and employment status. RESULTS: In total, 92.2% of the participants (58.6% male) reported ≥1 HRF, and 65.7% ≥2 HRFs. Men (71.2%), patients aged 35-49 (67.9%) and 50-64 years (69.5%), lower educated (79.0%), and unemployed (77.8%) patients had larger proportions of ≥2 HRFs than their counterparts. In all departments, the most common HRF profiles included overweight. HRF profiles that included alcohol and/ or smoking were more common in ear-nose-throat and trauma surgery than in internal medicine and general surgery patients. Men had higher rates concerning almost all HRF profiles including ≥2 HRFs and alcohol; women concerning profiles that included ≤2 HRFs and inactivity. In older patients, profiles with ≥2 HRFs including overweight; and in younger patients, profiles with smoking and/or alcohol were more common. In lower educated patients, profiles with ≥2 HRFs including inactivity; and in higher educated patients profiles with ≤2 HRFs including alcohol were more common. Compared to others, unemployed patients had higher rates of profiles with ≥3 HRFs including smoking. CONCLUSIONS: Two in three patients require interventions targeting two or more HRFs. The findings help to develop screening and brief intervention for patients with specific health risk profiles, that can reach most patients, including those most in need and those most hard to reach, with socio-economically disadvantaged people in particular. REGISTRY: clinicaltrials.gov: NCT01291693.

Indicator-based public health monitoring in old age in OECD member countries: a scoping review.

BACKGROUND: The scoping review was conducted as part of the project "Improving Health Monitoring in Old Age" (IMOA) which aims at developing a conceptual framework with key indicators for a public health monitoring of the population aged 65 years and older in Germany. We systematically identified indicator-based monitoring systems that focus on health and wellbeing of older populations in member countries of the Organisation for Economic Co-operation and Development (OECD) and analysed them with regard to structure, development and content. METHODS: A systematic search strategy included searching the websites of national public health institutes, an additional internet search and a MEDLINE search via PubMed. Indicator systems were included if they presented data on a national level, if they were published or updated after 01/01/2007, if they relied on more than one data source and if they were available in English or German. Data on the structure and development of the indicator sets were extracted using a standardized documentation form, and a content analysis of the indicators was conducted using a pre-defined conceptual framework with three health areas and 11 health domains that is based on the Worlds Health Organization's "World Report on Ageing and Health" and on the International Classification of Functioning, Disability and Health (ICF). RESULTS: Ten indicator-based monitoring systems met our inclusion criteria. Of these, six systems focused exclusively on older populations, and four offer a specific subset of indicators for older age. The number of indicators varied between 22 and 53 (median 32.5). Four systems were directly related to national public health or healthy ageing strategies, and two systems had been developed in consensus processes involving multiple stakeholders. The highest numbers of indicators could be assigned to the domains "health care", "nursing and community care", "wealth and poverty" and "physical health". Overall, 47 different concepts could be identified in the monitoring systems. CONCLUSION: Among indicator-based monitoring systems of health in older age identified in member countries of the OECD, there is considerable variation with regard to structure, development and content. The results will inspire the development of a public health monitoring of the older population in Germany.

Experiences with combined personal-online case management and the self-reliance of older people with multimorbidity living alone in private households: results of an interpretative-hermeneutical analysis.

BACKGROUND: To date in Germany, only few studies have been conducted concerning the efficacy of care and case management (CCM) for older people and about using communication technology during monitoring. AIM: With this study, it is intended to gain a better understanding of how CCM in general is perceived by older people (65+) living alone and in particular what they think about the CCM monitoring process used during video conferences. METHOD: The sampling and work cycle were based on the Grounded Theory. Two different subsamples (each n = 20; total sample: 70% women; age range: 64-92 years) were recruited. Interviews were conducted with the focus on CCM contributions (Subsample I) and monitoring supported by video conferences (Subsample II). All participants had received CCM from external providers (care support centres) in two German federal states. The intervention of CCM ranged between four and twelve months. Participants of Subsample II received additionally moderated video conferences via tablet PCs for and with older people over an intervention period of nine months. RESULTS: Care and case management was experienced as a possibility for receiving individual support and for improving the user's everyday life. Within a short time, video conferences were a familiar communication tool. They enabled particularly people with reduced mobility to get barrier-free access to case managers, compensated for isolation and enabled participation. CONCLUSIONS: According to the view of older CCM users with multimorbidity living alone, CCM offers formative and organisational support in various life-domains. Combined with video conferences, the exchange of information becomes barrier-free and instantaneous, and the sense of security in health questions is reinforced.