A Digital Coach (E-Supporter 1.0) to Support Physical Activity and a Healthy Diet in People With Type 2 Diabetes: Acceptability and Limited Efficacy Testing.

BACKGROUND: A healthy lifestyle, including regular physical activity and a healthy diet, is increasingly part of type 2 diabetes (T2D) management. As many people with T2D have difficulty living and maintaining a healthy lifestyle, there is a need for effective interventions. eHealth interventions that incorporate behavior change theories and tailoring are considered effective tools for supporting a healthy lifestyle. The E-Supporter 1.0 digital coach contains eHealth content for app-based eHealth interventions and offers tailored coaching regarding physical activity and a healthy diet for people with T2D. OBJECTIVE: This study aimed to assess the acceptability of E-Supporter 1.0 and explore its limited efficacy on physical activity, dietary behavior, the phase of behavior change, and self-efficacy levels. METHODS: Over a span of 9 weeks, 20 individuals with T2D received daily motivational messages and weekly feedback derived from behavioral change theories and determinants through E-Supporter 1.0. The acceptability of the intervention was assessed using telephone-conducted, semistructured interviews. The interview transcripts were coded using inductive thematic analysis. The limited efficacy of E-Supporter 1.0 was explored using the Fitbit Charge 2 to monitor step count to assess physical activity and questionnaires to assess dietary behavior (using the Dutch Healthy Diet index), phase of behavior change (using the single-question Self-Assessment Scale Stages of Change), and self-efficacy levels (using the Exercise Self-Efficacy Scale). RESULTS: In total, 5 main themes emerged from the interviews: perceptions regarding remote coaching, perceptions regarding the content, intervention intensity and duration, perceived effectiveness, and overall appreciation. The participants were predominantly positive about E-Supporter 1.0. Overall, they experienced E-Supporter 1.0 as a useful and easy-to-use intervention to support a better lifestyle. Participants expressed a preference for combining E-Supporter with face-to-face guidance from a health care professional. Many participants found the intensity and duration of the intervention to be acceptable, despite the coaching period appearing relatively short to facilitate long-term behavior maintenance. As expected, the degree of tailoring concerning the individual and external factors that influence a healthy lifestyle was perceived as limited. The limited efficacy testing showed a significant improvement in the daily step count (z=-2.040; P=.04) and self-efficacy levels (z=-1.997; P=.046) between baseline and postintervention. Diet was improved through better adherence to Dutch dietary guidelines. No significant improvement was found in the phase of behavior change (P=.17), as most participants were already in the maintenance phase at baseline. CONCLUSIONS: On the basis of this explorative feasibility study, we expect E-Supporter 1.0 to be an acceptable and potentially useful intervention to promote physical activity and a healthy diet in people with T2D. Additional work needs to be done to further tailor the E-Supporter content and evaluate its effects more extensively on lifestyle behaviors.

A Digital Lifestyle Coach (E-Supporter 1.0) to Support People With Type 2 Diabetes: Participatory Development Study.

BACKGROUND: A healthy lifestyle, including regular physical activity and a healthy diet, is becoming increasingly important in the treatment of chronic diseases. eHealth interventions that incorporate behavior change techniques (BCTs) and dynamic tailoring strategies could effectively support a healthy lifestyle. E-Supporter 1.0 is an eCoach designed to support physical activity and a healthy diet in people with type 2 diabetes (T2D). OBJECTIVE: This paper aimed to describe the systematic development of E-Supporter 1.0. METHODS: Our systematic design process consisted of 3 phases. The definition phase included the selection of the target group and formulation of intervention objectives, and the identification of behavioral determinants based on which BCTs were selected to apply in the intervention. In the development phase, intervention content was developed by specifying tailoring variables, intervention options, and decision rules. In the last phase, E-Supporter 1.0 integrated in the Diameter app was evaluated using a usability test in 9 people with T2D to assess intervention usage and acceptability. RESULTS: The main intervention objectives were to stimulate light to moderate-vigorous physical activities or adherence to the Dutch dietary guidelines in people with T2D. The selection of behavioral determinants was informed by the health action process approach and theories explaining behavior maintenance. BCTs were included to address relevant behavioral determinants (eg, action control, self-efficacy, and coping planning). Development of the intervention resulted in 3 types of intervention options, consisting of motivational messages, behavioral feedback, and tailor-made supportive exercises. On the basis of IF-THEN rules, intervention options could be tailored to, among others, type of behavioral goal and (barriers to) goal achievement. Data on these variables could be collected using app data, activity tracker data, and daily ecological momentary assessments. Usability testing revealed that user experiences were predominantly positive, despite some problems in the fixed delivery of content. CONCLUSIONS: The systematic development approach resulted in a theory-based and dynamically tailored eCoach. Future work should focus on expanding intervention content to other chronic diseases and lifestyle behaviors, enhancing the degree of tailoring and evaluating intervention effects on acceptability, use, and cost-effectiveness.

[Patient participation in the development and application of eHealth]. / Patiëntparticipatie bij de ontwikkeling en toepassing van e-health: Bereidheid en voorkeuren van mensen met diabetes mellitus type 2.

Aim: The aim was to gain insight in the preferences of people with type 2 diabetes mellitus regarding the moments and methods of patient participation in the development and application of eHealth, and which factors influence this. Methods: A digital questionnaire with both closed and open questions was distributed via various online platforms and the newsletter of the Diabetes Association in the Netherlands. Information was collected on: 1) willingness to participate; 2) preferences about the method of participation; 3) influencing factors on participation, including motivation, competence, resources, social influences, and outcome expectations; 4) background characteristics. Results: 160 questionnaires were analysed. More than three quarter of the respondents intend to be involved in patient participation. Most respondents prefer solo participation methods over group participation, respectively 93% and 46%. Half of the respondents feel that they have sufficient knowledge to participate, and 40% feels that they can provide valuable input. As compensation for participation, participants prefer to use new technologies for free. Conclusion: As people with diabetes type 2 differ in their preferences for moments and methods of participation, it is recommended to offer different methods of participation and types of compensation in the process from development to application of eHealth.

Effects of a computerised guideline support tool on child healthcare professionals' response to suspicions of child abuse and neglect: a community-based intervention trial.

BACKGROUND: Healthcare professionals' adherence to guidelines on child protection is not self-evident. This study assessed the effects of a computerised support tool on child healthcare professionals' adherence to the seven recommended guideline activities, and on time spent seeking information presented in this guideline. METHODS: A community-based intervention trial design was applied, comparing access to a paper-based guideline (control) with access to a paper-based guideline supplemented with a computerised guideline support tool (intervention). A total of 168 child healthcare doctors and nurses working in one large Dutch organisation were allocated to an intervention or control group. Outcomes were professionals' performance of seven recommended guideline activities and the amount of time spent seeking information presented in the guideline. Professionals' adherence was measured using two methods: health record analysis and a self-report questionnaire. The questionnaire was also used to collect data on the amount of time spent seeking guideline information. RESULTS: In total, 152 health records (102 in the intervention group and 50 in the control group) were available for analysis. The tool was registered in 14% of the records in the intervention group. Performance of activities, corrected for intentional non-adherence, was except for one activity, high (range 80-100%); no differences were found between the control and intervention groups. Forty-nine questionnaires (24 in the intervention group and 25 in the control group) were analysed. Sixty-three percent of the questionnaire respondents (15/24) claimed to have used the tool. No differences in guideline adherence were found between the two groups. Respondents in the intervention and control groups spent, on average, 115 and 153 min respectively seeking relevant information presented in the guideline. CONCLUSIONS: The results regarding use of the tool were inconclusive as the outcomes differed per method. In contrast to expectations, performance of guideline activities was high in both groups. The support tool may decrease the amount of time spent on seeking guideline information. However, given the high adherence scores and small number of questionnaire respondents, the outcomes failed to reach statistical significance. Future research should focus on studying the effects of the tool after a longer period of availability.

Professionals' preferences and experiences with inter-organizational consultation to assess suspicions of child abuse and neglect.

This study addresses the following questions in cases of suspected child abuse and neglect (CAN) in children up to four years of age: 1) How many professionals intend to seek inter-organizational consultation? 2) What types of organizations do professionals prefer to consult? and 3) What factors can be identified as facilitator(s) or barrier(s) regarding inter-organizational consultation, based on professionals' experiences? Professionals working with children in 101 organizations in a medium-sized Dutch city were invited to fill in an online questionnaire. The questionnaire included a vignette about a suspected case. Quantitative, qualitative, and social network analysis approaches were used to analyze the data. Seventy-eight questionnaires were available for analysis. Fifty-five respondents (71%) intended to seek inter-organizational consultation. Ten different organization types were mentioned. The most frequently mentioned organization was preventive child healthcare. In total, 82 text fragments from 39 participants were available to analyze barriers and facilitators to inter-organizational consultation, 60 fragments that entailed a facilitator and 22 fragments that entailed a barrier. The text fragments were subdivided into twelve factors. The three factors that were most often identified as a facilitator were 'support', 'undertaking action', and 'regard'. Barriers were found in relation to all twelve factors. No specific barrier(s) stood out. This study demonstrated that most professionals are inclined to seek inter-organizational consultation when they suspect CAN. They are especially likely to seek consultation from preventive child health care organizations. Their experiences mainly revealed facilitators and few barriers. The implications for research and practice are also discussed.

[Eleventh Safe Sleeping Survey in the Netherlands: parents' habits concerning infant sleep position and location]. / Elfde Peiling Veilig Slapen.

OBJECTIVE: To investigate to what extent parents of infants are following national safe sleep advice given for the prevention of Sudden Infant Death Syndrome (SIDS) and to study the reasons for not adhering to recommendations on sleep position (always on the back) and location (parents and infant not sleeping in the same bed). DESIGN: Quantitative and qualitative cross-sectional study. METHOD: Online survey among parents of 0-11 month old children via well-baby clinics and online media. RESULTS: Of the 1,209 respondents, 72.4% indicated that their child was usually placed on the back, and 34.1% indicated that their child slept in the same room as its parent(s), but not in the same bed. Of children aged 0-2 and 3-4 months 6.3% and 8.2% respectively slept with their parents in one bed. Parents of children of 0-6 months old (n = 199) who are not adhering to advice on sleeping position most often indicated that the child sleeps better (35%), that there is a preferred position or flat head syndrome (13%) or a desire to prevent it (16%, 29% combined). Reasons most frequently mentioned by parents for not following the recommendation not to sleep with their child in the same bed were: ease of breastfeeding (50%; n = 24) and better sleep of the child (40%; n = 19); this was for children of 0-6 months old. CONCLUSION: Parents do not automatically follow safe sleep recommendations for their child. Prevention may be improved by talking to parents about their reasons for not adhering to recommendations and determining together how to create a safe sleeping environment for the baby.

In-house consultation to support professionals' responses to child abuse and neglect: Determinants of professionals' use and the association with guideline adherence.

This study examined the presence and strengths of determinants associated with consultation of an in-house expert on child abuse and neglect (CAN) by preventive child health care professionals who suspect CAN. This study also assessed the relationship between in-house CAN expert consultation and professionals' performance of six recommended activities described in a national guideline on preventing CAN for preventive child health care professionals. A total of 154 professionals met the study's inclusion criteria. They filled in a questionnaire that measured in-house consultation practices and twelve determinants associated with the professional, the in-house expert, and the organizational context. Bivariate and multivariate regression analyses were performed. Almost half of the participants (46.8%) reported to consult the in-house expert in (almost) all of their suspected CAN cases. Professionals who reported better recollection of consulting the in-house expert (i.e. not forgetting to consult the expert) (p=.001), who were more familiar with consultation (p=.002), who had more positive attitudes and beliefs about consultation (p=.011) and who reported being more susceptible to the behavior (p=.001) and expectations/opinions (p=.025) of colleagues regarding in-house expert consultation were more likely to consult the in-house expert. Furthermore, in-house expert consultation was positively associated with two of six key guideline activities: consulting the regional child protection service and monitoring whether support was provided to families. The implications of these results for improving professionals' responses to CAN are discussed.

What factors increase Dutch child health care professionals' adherence to a national guideline on preventing child abuse and neglect?

Guidelines to support health care professionals in early detection of, and responses to, suspected Child Abuse and Neglect (CAN) have become increasingly widely available. Yet little is known about professionals' adherence to these guidelines or the determinants that affect their uptake. This study used a cross-sectional design to assess the adherence of Dutch Child Health Care (CHC) professionals to seven key activities described in a national guideline on preventing CAN. This study also examined the presence and strengths of determinants of guideline adherence. Online questionnaires were filled in between May and July 2013 by 164 CHC professionals. Adherence was defined as the extent to which professionals performed each of seven key activities when they suspected CAN. Thirty-three determinants were measured in relation to the guideline, the health professional, the organisational context and the socio-political context. Bivariate and multivariate regression analyses tested associations between determinants and guideline adherence. Most of the responding CHC professionals were aware of the guideline and its content (83.7%). Self-reported rates of full adherence varied between 19.5% and 42.7%. Stronger habit to use the guideline was the only determinant associated with higher adherence rates in the multivariate analysis. Understanding guideline adherence and associated determinants is essential for developing implementation strategies that can stimulate adherence. Although CHC professionals in this sample were aware of the guideline, they did not always adhere to its key recommended activities. To increase adherence, tailored interventions should primarily focus on enhancing habit strength.

A qualitative exploration of factors that facilitate and impede adherence to child abuse prevention guidelines in Dutch preventive child health care.

RATIONALE, AIMS AND OBJECTIVES: In the Netherlands, evidence-based child abuse prevention (CAP) guidelines have been developed to support child health care professionals (CHPs) in recognizing and responding to suspected child abuse. The aim of this study was to identify factors related to characteristics of the guidelines, the user, the organization and the socio-political context that facilitate or impede adherence to the CAP guidelines. METHODS: Three semi-structured focus groups including 14 CHPs working in one large Dutch child health care organization were conducted in January and February 2012. Participants were asked questions about the dissemination of the guidelines, adherence to their key recommendations and factors that impeded or facilitated desired working practices. The interviews were audiotaped and transcribed. Impeding and facilitating factors were identified and classified. An innovation framework was used to guide the research. RESULTS: CHPs mentioned 24 factors that facilitated or impeded adherence to the CAP guidelines. Most of these factors were related to characteristics of the user. Familiarity with the content of the guidelines, a supportive working environment and good inter-agency cooperation were identified as facilitating factors. Impeding factors included lack of willingness of caregivers to cooperate, low self-efficacy and poor inter-agency cooperation. CONCLUSIONS: The results indicate that a broad variety of factors may influence CHPs' (non-)adherence to the CAP guidelines. Efforts to improve implementation of the guidelines should focus on improving familiarity with their contents, enhancing self-efficacy, promoting intra-agency cooperation, supporting professionals in dealing with uncooperative parents and improving inter-agency cooperation. Recommendations for future research are provided.