How to recruit inactive residents for lifestyle interventions: participants' characteristics based on various recruitment strategies.

Care Sport Connectors (CSCs) have been appointed to create a connection between primary care and physical activity (PA) sectors to stimulate inactive residents into becoming physically active. Adequate recruitment strategies are necessary to reach the intended target group in order to foster the sustainability of lifestyle interventions. The objective of this study is to explore PA behavior and health characteristics of the target group reached by CSCs and if these characteristics differ between participants when grouped based on how they were recruited. Participants from lifestyle interventions were included between September 2014 and April 2016 using a purposive sampling method. Participants were recruited through CSCs via public relations (n = 135), a personal letter (n = 136), or a referral (n = 98) and compared based on their PA level, health-related quality of life, motivation, self-efficacy, morbidity and health-related fitness. Scores were analyzed with a multi-level (mixed model) analysis measured before the intervention. The three groups were different in PA level (p = 0.002). The outcomes regarding health-related quality of life, motivation, and number of somatic disorders were also significantly different for the three groups, except for the categories of mental health (p = 0.145) and self-efficacy (p = 0.464). For all dimensions, the referral group scored the least favorable. The investment in time and money for an active recruitment strategy like referrals is worthwhile because it provides CSCs the opportunity to reach people who are inactive and at risk of chronic disease. Future studies are necessary to reveal the effect on PA levels and health in the long-term.

Perceptions of Care Sport Connectors' Tasks for Strengthening the Connection Between Primary Care, Sports and Physical Activity: A Delphi Study.

INTRODUCTION: Care sport connectors stimulate physical activity and facilitate collaboration between the primary care and physical activity sectors in the Netherlands. To strengthen intersectoral collaboration between the primary care and sports sectors, it is necessary to study which tasks a care sport connector must fulfil according to their own and other professionals' perceptions. METHODS: A Delphi study was conducted with 182 professionals from the primary care, public health and physical activity sectors. Rounds 1 and 2 included questions about task perception, willingness to collaborate and expectations of care sport connectors. Rounds 3 and 4 were used to reach consensus. RESULTS: All professions acknowledged physical activity promotion tasks, but they are not all willing to collaborate. They expect a broad range of roles from care sport connectors: informative, executive, guiding and intermediate. Care sport connectors reached consensus on two roles: informative and intermediate. DISCUSSION: Care sport connectors have an important role in strengthening intersectoral collaboration. All the professions acknowledged a task concerning physical activity promotion and accepted a broker role. Thus, a public health mind-set seems to be present to some extent. However, challenges remain, such as the lack of willingness to collaborate among primary care professionals and sports policies not (yet) supporting intersectoral collaboration.

A toolkit with nine district types to support municipalities in taking an integrated approach to prevention.

BACKGROUND: Not only do people differ in their health, so do districts within municipalities. For example, city centres have different characteristics and health issues than villages or post-war neighbourhoods. This is why the Dutch National Institute for Public Health and the Environment has developed a toolkit, 'Prevention in the district', based on nine different types of district. METHODS: The aim of the toolkit is to help municipalities implement an integrated approach to prevention by providing tailored, practical information. We therefore looked at the best way to improve the connection between the available knowledge and local needs. Based on data analysis, expert opinion and working sessions with professionals and local policymakers, we developed a toolkit with three related tools. RESULTS: The following tools were developed: 1) nine district types with their prominent characteristics and 14 themes for prevention (ranging from loneliness to overweight); 2) a data guide containing a set of indicators to assess the district health profile; 3) a prevention guide containing a mix of evidence-based interventions for the 14 themes. The tools are presented in a toolkit (a clickable PDF) to emphasise the fact that they form a coherent whole. The link between data and interventions is considered to be particularly innovative. CONCLUSION: The three tools support the improvement of the health and well-being of residents in a district. The first indications are that the toolkit empowers municipalities and lets them work towards an integrated approach. An integrated approach in both district health profiles and district plans could also serve as an example for other countries.

Exploring the impact of the care sport connector in the Netherlands.

BACKGROUND: Regular physical activity (PA) is deemed to contribute to the primary and secondary prevention of several chronic diseases, like diabetes mellitus, cancer, cardiovascular diseases, and osteoporosis. In 2012, Care Sport Connectors (CSC), to whom a broker has been ascribed, were introduced in the Netherlands to stimulate PA and guide primary care patients towards local sport facilities. The aim of this study was to explore which structural embedding is the most promising for CSCs' work. METHODS: In three rounds of interviews, 13 CSCs were followed for 2 years in their work. In these interviews, a network survey was used to identify organisations in the CSCs' network, whether they collaborated with these organisations, and the role of the organisations in the connection. Data from the network survey were analysed using the RE-AIM framework and disaggregated into how CSCs were structurally embedded (Type A: only PA sector; Type B: different sectors; Type C: partnership). A related samples Wilcoxon signed rank test was performed to study how the CSCs' network developed between 2014 and 2016. RESULTS: All CSCs established a connection between the primary care and the PA sector in which the average number of organisations with which CSCs collaborated increased significantly between 2014 (8.3) and 2016 (19.8) (p = 0.002). However, differences were identified in the way CSCs were structurally embedded and in the way they established the connection. Type A CSCs established the connection mostly around their own activities, supported PA organisations with their activities, and collaborated with primary care and welfare professionals around their own activities. Type B and Type C CSCs established the connection by organising, supporting, and implementing different kinds of activities targeting different kinds of audiences, and collaborated mostly with primary care professionals around the referral of professionals' patients. CONCLUSIONS: The results of this study suggest that adopting an integral approach (Type B and C) for the structural embedding of the CSC is more promising for reaching the desired outcomes. Whether CSCs really improve the target groups' PA level and health needs to be further studied. TRIAL REGISTRATION: Dutch Trial Register NTR4986 . Registered 14 December 2014.

The connection between the primary care and the physical activity sector: professionals' perceptions.

BACKGROUND: To stimulate physical activity (PA) and guide primary care patients towards local PA facilities, Care Sport Connectors (CSC), to whom a broker role has been ascribed, were introduced in 2012 in the Netherlands. The aim of this study is to assess perceptions of primary care, welfare, and sport professionals towards the CSC role and the connection between the primary care and the PA sector. METHODS: Nine focus groups were held with primary care, welfare and sport professionals within the CSC network. In these focus groups the CSC role and the connection between the sectors were discussed. Both top-down and bottom-up codes were used to analyse the focus groups. RESULTS: Professionals ascribed three roles to the CSC: 1) broker role, 2) referral, 3) facilitator. Professionals were enthusiastic about how the current connection was established. However, barriers relating to their own sector were currently hindering the connection: primary care professionals' lack of time, money and knowledge, and the lack of suitable PA activities and instructors for the target group. CONCLUSIONS: This study provides further insight into the CSC role and the connection between the sectors from the point of view of primary care, welfare, and sport professionals. Professionals found the CSC role promising, but barriers are currently hindering the collaboration between both sectors. More time for the CSC and changes in the way the primary care and PA sector are organized seem to be necessary to overcome the identified barriers and to make a success of the connection. TRIAL REGISTRATION: Dutch Trial register NTR4986 . Registered 14 December 2014.

A short assessment of health literacy (SAHL) in the Netherlands.

BACKGROUND: An earlier attempt to adapt the REALM (Rapid Estimate of Adult Literacy in Medicine) word recognition test to Dutch was not entirely successful due to ceiling effects. In contrast to REALM, the Short Assessment of Health Literacy (SAHL) assesses both word recognition and comprehension in the health domain. The aim of this study was to design, test and validate a SAHL for Dutch patients (SAHL-D). METHODS: We pretested 95 health-related terms (n = 127) and selected 33 best performing items for validation in a quantitative survey (n = 329). For each item, a correct recognition (1 point) and comprehension (1 point) contributed to the total score (scale 0-66). Internal consistency was assessed using Cronbach's alpha. Construct validity was examined by analyzing association patterns of SAHL-D with educational level, objective and subjective health literacy, prose literacy, and vocabulary. Receiver operating characteristic (ROC) curves, with prose literacy as the reference standard, determined optimal cut-off scores. RESULTS: Cronbach's alpha was 0.77 for recognition, 0.79 for comprehension, and 0.86 for the total score. Scores significantly differed substantially by educational level. Association patterns mostly confirmed a priori expectations in direction and strength, thereby supporting the construct validity of the SAHL-D. The optimal cut-off scores for differentiating between adequate and low literacy lie between 52.5 and 55.5. A shorter SAHL-D version presenting 22 terms offers a comparable prediction performance. CONCLUSION: The results provide positive evidence for the reliability and validity of the SAHL-D. The SAHL-D can be applied to analyze the role of health literacy in health and healthcare, and for the development and evaluation of targeted interventions.

International application of health literacy measures: adaptation and validation of the newest vital sign in The Netherlands.

OBJECTIVE: The newest vital sign assesses individual reading and numeracy skills. The aim of this study was to create a Dutch version (NVS-D) and to assess its feasibility, reliability, and validity in The Netherlands. METHODS: We performed a qualitative study among experts (n=27) and patients (n=30) to develop the NVS-D and to assess its feasibility. For validation, we conducted a quantitative survey (n=329). Reliability was assessed by Cronbach's alpha. Construct validity was examined by analyzing association patterns. Receiver operating characteristic (ROC) curves determined optimal cut-off scores. RESULTS: Cronbach's alpha was 0.76. In accordance with a priori hypotheses we found strong associations between NVS-D, general vocabulary, prose literacy and objective health literacy, and weaker associations between NVS-D and subjective health literacy. A score of ≥4 out of 6 best distinguished individuals with adequate versus inadequate health literacy. CONCLUSION: The results suggest that the NVS-D is a reliable and valid tool that allows international comparable health literacy research in The Netherlands. PRACTICE IMPLICATIONS: The NVS-D can be applied in research on the role of health literacy in health and health care, and the development of interventions. The methods can be applied in cross-cultural adaptation of health literacy measures in other countries.

Self-rated literacy level does not explain educational differences in health and disease.

BACKGROUND: Although literacy is increasingly considered to play a role in socioeconomic inequalities in health, its contribution to the explanation of educational differences in health has remained unexplored. The aim of this study was to investigate the contribution of self-rated literacy to educational differences in health. METHODS: Data was collected from the Healthy Foundation and Lifestyle Segmentation Dataset (n = 4257). Self-rated literacy was estimated by individuals' self-reported confidence in reading written English. We used logistic regression analyses to assess the association between educational level and health (long term conditions and self-rated health). Self-rated literacy and other potential explanatory variables were separately added to each model. For each added variable we calculated the percentage change in odds ratio to assess the contribution to the explanation of educational differences in health. RESULTS: People with lower educational attainment level were more likely to report a long term condition (OR 2.04, CI 1.80-2.32). These educational differences could mostly be explained by age (OR decreased by 27%) and could only minimally be explained by self-rated literacy, as measured by self-rated reading skills (OR decreased by 1%). Literacy could not explain differences in cardiovascular condition or diabetes, and only minimally contributed to mental health problems and depression (OR decreased by 5%). The odds of rating ones own health more negatively was higher for people with a low educational level compared to those with a higher educational level (OR 1.83, CI 1.59-2.010), self-rated literacy decreased the OR by 7%. CONCLUSION: Measuring self-rated reading skills does not contribute significantly to the explanation of educational differences in health and disease. Further research should aim for the development of objective generic and specific instruments to measure health literacy skills in the context of health care, disease prevention and health promotion. Such instruments are not only important in the explanation of educational differences in health and disease, but can also be used to identify a group at risk of poorer health through low basic skills, enabling health services and health information to be targeted at those with greater need.

Determinants of successful public-private partnerships in the context of overweight prevention in Dutch youth.

INTRODUCTION: A public-private partnership (PPP) is an essential component of the Dutch community-based approach toward overweight prevention, Youth on Healthy Weight (JOGG). Beginning in 2010, 25 Dutch municipalities have implemented JOGG, but little is known about determinants of successful partnerships. This study aims to identify these determinants to guide other municipalities or communities in creating successful partnerships. METHODS: Semistructured interviews were held in Veghel, a town in the southeast of the Netherlands, with private (n=7) and public (n=5) partners from the PPP involved in JOGG. We developed a themes and topics list that fit the purpose of our study. The interviews focused on the formation, functioning, and output of the partnership. RESULTS: Recruitment of partners was facilitated by using preexisting networks. Corporate social responsibility, belief in the JOGG approach, importance of the health issue, and strengthened contacts with other partners were important motivations for partners to participate. In addition to partnership functioning and output, enthusiastic and decisive management, shared commitment, joint responsibility, and effective internal communication were important to the partners, as were clear goals and concrete actions to achieve these goals. CONCLUSION: To create successful partnerships, the program and its goals should appeal to the motivations of the partners. Involving partners in defining local program objectives can help to create shared commitment and joint responsibility. Further evaluation of partnerships' impact on achieving program goals is a subsequent step to be taken to identify long-term determinants of successful PPPs.