A comparison of social prescribing approaches across twelve high-income countries.

BACKGROUND: Social prescribing connects patients with community resources to improve their health and well-being. It is gaining momentum globally due to its potential for addressing non-medical causes of illness while building on existing resources and enhancing overall health at a relatively low cost. The COVID-19 pandemic further underscored the need for policy interventions to address health-related social issues such as loneliness and isolation. AIM: This paper presents evidence of the conceptualisation and implementation of social prescribing schemes in twelve countries: Australia, Austria, Canada, England, Finland, Germany, Portugal, the Slovak Republic, Slovenia, the Netherlands, the United States and Wales. METHODS: Twelve countries were identified through the Health Systems and Policy Monitor (HSPM) network and the EuroHealthNet Partnership. Information was collected through a twelve open-ended question survey based on a conceptual model inspired by the WHO's Health System Framework. RESULTS: We found that social prescribing can take different forms, and the scale of implementation also varies significantly. Robust evidence on impact is scarce and highly context-specific, with some indications of cost-effectiveness and positive impact on well-being. CONCLUSIONS: This paper provides insights into social prescribing in various contexts and may guide countries interested in holistically tackling health-related social factors and strengthening community-based care. Policies can support a more seamless integration of social prescribing into existing care, improve collaboration among sectors and training programs for health and social care professionals.

Attractiveness of people-centred and integrated Dutch Home Care: A nationwide survey among nurses.

The World Health Organization is calling for a fundamental change in healthcare services delivery, towards people-centred and integrated health services. This includes providing integrated care around people's needs that is effectively co-ordinated across providers and co-produced by professionals, the patient, the family and the community. At the same time, healthcare policies aim to scale back hospital and residential care in favour of home care. This is one reason for the home-care nursing staff shortages in Europe. Therefore, this study aimed to examine whether people-centred, integrated home care appeals to nurses with different levels of education in home care and hospitals. A questionnaire survey was held among registered nurses in Dutch home-care organisations and hospitals in 2015. The questionnaire addressed the perceived attractiveness of different aspects of people-centred, integrated home care. In total 328 nurses filled in the questionnaire (54% response rate). The findings showed that most home-care nurses (70% to 97%) and 36% to 76% of the hospital nurses regard the different aspects of people-centred, integrated home care as attractive. Specific aspects that home-care nurses find attractive are promoting the patient's self-reliance and having a network in the community. Hospital nurses are mainly attracted to health-related prevention and taking control in complex situations. No clear differences between the educational levels were found. It is concluded that most home-care nurses and a minority of hospital nurses feel attracted to people-centred, integrated home care, irrespective of their educational level. The findings are relevant to policy makers and home-care organisations who aim to expand the home-care nursing workforce.

Determinants of public trust in complementary and alternative medicine.

BACKGROUND: In the Netherlands, public trust in conventional medicine is relatively high. There is reason to believe that public trust in complementary and alternative medicine (CAM) is rated lower. The aim of this study is to gain insight into public trust in CAM and the determinants that lie at the root of it. We hypothesized that public trust in CAM is related to (perceived) institutional guarantees, media information on CAM, information from people's social network, personal experiences, the role of general practitioners (GPs) and trust in conventional medicine. METHODS: A postal questionnaire on public trust in CAM was mailed to 1358 members of the Health Care Consumer Panel. 65% of the questionnaires were returned. Data were analysed using frequencies, ANOVA, post hoc testing and linear regression analyses. RESULTS: In the total sample, the level of public trust in CAM was a 5.05 on average on a scale of 1-10. 40.7% was CAM user (current or past) and displayed significantly higher levels of trust toward CAM than CAM non users. In the total sample, public trust in CAM was related to institutional guarantees, negative media information, positive and negative information reported by their social network and people's personal experiences with CAM. For non users, trust is mostly associated with institutional guarantees. For users, personal experiences are most important. For both users and non users, trust levels in CAM are affected by negative media information. Public trust in CAM is for CAM users related to positive information and for non users to negative information from their network. CONCLUSIONS: In the Netherlands, CAM is trusted less than conventional medicine. The hypotheses on institutional guarantees, media information, information from the network and people's personal experiences are confirmed by our study for the total sample, CAM non users and users. The other hypotheses are rejected.

Do list size and remuneration affect GPs' decisions about how they provide consultations?

BACKGROUND: Doctors' professional behaviour is influenced by the way they are paid. When GPs are paid per item, i.e., on a fee-for-service basis (FFS), there is a clear relationship between workload and income: more work means more money. In the case of capitation based payment, workload is not directly linked to income since the fees per patient are fixed. In this study list size was considered as an indicator for workload and we investigated how list size and remuneration affect GP decisions about how they provide consultations. The main objectives of this study were to investigate a) how list size is related to consultation length, waiting time to get an appointment, and the likelihood that GPs conduct home visits and b) to what extent the relationships between list size and these three variables are affected by remuneration. METHODS: List size was used because this is an important determinant of objective workload. List size was corrected for number of older patients and patients who lived in deprived areas. We focussed on three dependent variables that we expected to be related to remuneration and list size: consultation length; waiting time to get an appointment; and home visits. Data were derived from the second Dutch National Survey of General Practice (DNSGP-2), carried out between 2000 and 2002. The data were collected using electronic medical records, videotaped consultations and postal surveys. Multilevel regression analyses were performed to assess the hypothesized relationships. RESULTS: Our results indicate that list size is negatively related to consultation length, especially among GPs with relatively large lists. A correlation between list size and waiting time to get an appointment, and a correlation between list size and the likelihood of a home visit were only found for GPs with small practices. These correlations are modified by the proportion of patients for whom GPs receive capitation fees. Waiting times to get an appointment tend to become shorter with increasing patient lists when there is a larger capitation percentage. The likelihood that GPs will conduct home visit rises with increasing patient lists when the capitation percentage is small. CONCLUSION: Remuneration appears to affect GPs' decisions about how they provide consultations, especially among GPs with relatively small patient lists. This role is, however, small compared to other factors such as patient characteristics.

Using multilevel modeling to assess case-mix adjusters in consumer experience surveys in health care.

BACKGROUND: Ratings on the quality of healthcare from the consumer's perspective need to be adjusted for consumer characteristics to ensure fair and accurate comparisons between healthcare providers or health plans. Although multilevel analysis is already considered an appropriate method for analyzing healthcare performance data, it has rarely been used to assess case-mix adjustment of such data. The purpose of this article is to investigate whether multilevel regression analysis is a useful tool to detect case-mix adjusters in consumer assessment of healthcare. METHODS: We used data on 11,539 consumers from 27 Dutch health plans, which were collected using the Dutch Consumer Quality Index health plan instrument. We conducted multilevel regression analyses of consumers' responses nested within health plans to assess the effects of consumer characteristics on consumer experience. We compared our findings to the results of another methodology: the impact factor approach, which combines the predictive effect of each case-mix variable with its heterogeneity across health plans. RESULTS: Both multilevel regression and impact factor analyses showed that age and education were the most important case-mix adjusters for consumer experience and ratings of health plans. With the exception of age, case-mix adjustment had little impact on the ranking of health plans. CONCLUSIONS: On both theoretical and practical grounds, multilevel modeling is useful for adequate case-mix adjustment and analysis of performance ratings.

Is new drug prescribing in primary care specialist induced?

BACKGROUND: Medical specialists are often seen as the first prescribers of new drugs. However, the extent to which specialists influence new drug prescribing in primary care is largely unknown. METHODS: This study estimates the influence of medical specialists on new drug prescribing in primary care shortly after market introduction. The influence of medical specialists on prescribing of five new drugs was measured in a cohort of 103 GPs, working in 59 practices, over the period 1999 until 2003. The influence of medical specialists on new drug prescribing in primary care was assessed using three outcome measures. Firstly, the proportion of patients receiving their first prescription for a new or reference drug from a specialist. Secondly, the proportion of GPs prescribing new drugs before any specialist prescribes to their patients. Thirdly, we compared the time until the GP's first own prescribing between GPs who waited for prescriptions from specialists and those who did not. RESULTS: The influence of specialists showed considerable differences among the new drugs studied. The proportion of patients receiving their first prescription from a specialist was greatest for the combination salmeterol/fluticasone (60.2%), and lowest for rofecoxib (23.0%). The proportion of GPs prescribing new drugs before waiting for prescriptions from medical specialists ranged from 21.1% in the case of esomeprazole to 32.9% for rofecoxib. Prescribing new drugs by specialists did not shorten the GP's own time to prescribing. CONCLUSION: This study shows that the influence of medical specialists is clearly visible for all new drugs and often greater than for the existing older drugs, but the rapid uptake of new drugs in primary care does not seem specialist induced in all cases. GPs are responsible for a substantial amount of all early prescriptions for new drugs and for a subpopulation specialist endorsement is not a requisite to initiate in new drug prescribing. This contradicts with the idea that the diffusion of newly marketed drugs always follows a two-step model, with medical specialists as the innovators and GPs as the followers.

Public trust in health care: a performance indicator?

PURPOSE: If public trust in health care is to be used as a performance indicator for health care systems, its measurement has to be sensitive to changes in the health care system. For this purpose, this study has monitored public trust in health care in The Netherlands over an eight-year period, from 1997 to 2004. The study expected to find a decrease in public trust, with a low point in 2002. DESIGN/METHODOLOGY/APPROACH: Since 1997, public trust in health care was measured through postal questionnaires to the "health care consumer panel". This panel consists of approximately 1500 households and forms a representative sample of the Dutch population. FINDINGS: Trust in health care and trust in hospitals did not show any significant trend. Trust in medical specialists displayed an upward trend. Trust in future health care, trust in five out of six dimensions of health care and trust in general practitioners actually did show a decrease. However, only for trust in macro level policies and trust in professional expertise this trend continued. For the remaining trust objects, after 1999 or 2000, an upward trend set in. RESEARCH IMPLICATIONS/LIMITATIONS: No support was found for our overall assumption. Explanations for the fact that trust did increase after 1999 or 2000 are difficult to find. On the basis of these findings the study questions whether the measure of public trust is sensitive enough to provide information on the performance of the health care system. ORIGINALITY/VALUE: The aim of this research is to study public trust in health care on its abilities to be used as a performance indicator for health care systems.

Vitamin G: effects of green space on health, well-being, and social safety.

BACKGROUND: Looking out on and being in the green elements of the landscape around us seem to affect health, well-being and feelings of social safety. This article discusses the design of a research program on the effects of green space in the living environment on health, well-being and social safety. METHODS/DESIGN: The program consists of three projects at three different scales: at a macro scale using data on the Netherlands as a whole, at an intermediate scale looking into the specific effect of green space in the urban environment, and at micro scale investigating the effects of allotment gardens. The projects are observational studies, combining existing data on land use and health interview survey data, and collecting new data through questionnaires and interviews. Multilevel analysis and GIS techniques will be used to analyze the data. DISCUSSION: Previous (experimental) research in environmental psychology has shown that a natural environment has a positive effect on well-being through restoration of stress and attentional fatigue. Descriptive epidemiological research has shown a positive relationship between the amount of green space in the living environment and physical and mental health and longevity. The program has three aims. First, to document the relationship between the amount and type of green space in people's living environment and their health, well-being, and feelings of safety. Second, to investigate the mechanisms behind this relationship. Mechanisms relate to exposure (leading to stress reduction and attention restoration), healthy behavior and social integration, and selection. Third, to translate the results into policy on the crossroads of spatial planning, public health, and safety. Strong points of our program are: we study several interrelated dependent variables, in different ordinary settings (as opposed to experimental or extreme settings), focusing on different target groups, using appropriate multilevel methods.

Why are some medical specialists working part-time, while others work full-time?

Although medical specialists primarily work full-time, part-time work is on the increase, a trend that can be found worldwide. This article seeks to answer the question why some medical specialists work part-time, while others do not although they are willing to work part-time. Two approaches are used. First, we studied reported reasons and as a second approach we used a theoretical model, based on goal-directed behavior and restrictions. A questionnaire was sent to all internists (N=817), surgeons (N=693) and radiologists (N=621) working in general hospitals in The Netherlands. Questions were asked about personal traits, characteristics of the work situation, and motives for working full-time or part-time. Frequencies were reported for the reasons given, and multilevel analysis was used to test the theoretical model. The results show that the reported reasons for working part-time and being willing to work part-time are the same: the importance of family and leisure pursuits. The second approach showed that medical specialists working part-time tend to be female, older, and have children below the age of five. Surgeons are least likely to work part-time. A willingness to work part-time is purely individual and not related to any of the explanatory variables. We conclude that working part-time is related to both professional and personal circumstances. Policy should be aimed at removing the organizational difficulties that obstruct the realization of part-time work. Alternatively, perhaps there should be a change in working hours for all medical specialists. As the majority of all full-time working medical specialists are willing to work part-time, this might indicate that most medical specialists actually prefer "normal" working hours.

Consumer preferences in social health insurance.

Allowing consumers greater choice of health plans is believed to be the key to high quality and low costs in social health insurance. This study investigates consumer preferences (361 persons, response rate 43%) for hypothetical health plans which differed in 12 characteristics (premium, deductibles, no-claim discount, extension of insurance and financial services, red tape involved, medical help-desk, choice of family physicians and hospitals, dental benefits, physical therapy benefits, benefits for prescription drugs and homeopathy). In 90% the health plan with the most attractive characteristics was preferred, indicating a predominantly rational kind of choice. The most decisive characteristics for preference were: complete dental benefits, followed by zero deductibles, and free choice of hospitals.