Promoting the implementation of a computer-tailored physical activity intervention: development and feasibility testing of an implementation intervention.

BACKGROUND: Although there are many proven effective physical activity (PA) interventions for older adults, implementation in a real world setting is often limited. This study describes the systematic development of a multifaceted implementation intervention targeting the implementation of an evidence-based computer-tailored PA intervention and evaluates its use and feasibility. METHODS: The implementation intervention was developed following the Intervention Mapping (IM) protocol, supplemented with insights from implementation science literature. The implementation intervention targets the municipal healthcare policy advisors, as an important implementation stakeholder in Dutch healthcare system. The feasibility of the implementation intervention was studied among these stakeholders using a pretest-posttest design within 8 municipal healthcare settings. Quantitative questionnaires were used to assess task performance (i.e. achievement of performance objectives), and utilization of implementation strategies (as part of the intervention). Furthermore, changes in implementation determinants were studied by gathering quantitative data before, during and after applying the implementation intervention within a one-year period. Additionally, semi-structured interviews with stakeholders assessed their considerations regarding the feasibility of the implementation intervention. RESULTS: A multi-faceted implementation intervention was developed in which implementation strategies (e.g. funding, educational materials, meetings, building a coalition) were selected to target the most relevant identified implementation determinants. Most implementation strategies were used as intended. Execution of performance objectives for adoption and implementation was relatively high (75-100%). Maintenance objectives were executed to a lesser degree (13-63%). No positive changes in implementation determinants were found. None of the stakeholders decided to continue implementation of the PA intervention further, mainly due to the unforeseen amount of labour and the disappointing reach of end-users. CONCLUSION: The current study highlights the importance of a thorough feasibility study in addition to the use of IM. Although feasibility results may have demonstrated that stakeholders broadly accepted the implementation intervention, implementation determinants did not change favorably, and stakeholders had no plans to continue the PA intervention. Yet, choices made during the development of the implementation intervention (i.e. the operationalization of Implementation Mapping) might not have been optimal. The current study describes important lessons learned when developing an implementation intervention, and provides recommendations for developers of future implementation interventions.

The added value of frequent physical activity group sessions in a combined lifestyle intervention: A cluster randomised trial in primary care.

Combined lifestyle interventions (CLIs) that target both physical activity (PA) and diet have been shown to improve PA and health of adults who are overweight; however, optimal amount of guidance remains unclear. This study evaluated the effects of adding PA group sessions to a standard CLI in primary care in the Netherlands. 411 participants (BMI 34.5 ± 4.4 kg/m2) in thirty locations were randomised into a one year CLI or CLI+. CLI comprised individual meetings with lifestyle coach (LSC) and physiotherapist, and group meetings with dietician. PA group sessions were added in CLI+. Primary outcome was minutes of moderate to vigorous PA per week. Secondary outcomes of PA, diet and cardiovascular risk factors (i.e. waist circumference, HbA1c and blood pressure) were evaluated after 12 and 24 months with multilevel analyses. Data were collected from 2010 to 2015. Significant between-group effects were only found for waist circumference, which was significantly lower at twelve months in the CLI+ group (p = 0.011), no other between-group differences were found. Several within-group changes were significant. After participating in the intervention, walking time increased with 83 ± 35 min/week and 100 ± 38 min/week, and BMI decreased with 0.7 ± 0.3 kg/m2 and 1.5 ± 0.3 kg/m2 in CLI and CLI+ respectively (p < 0.001). Diet, HbA1c and systolic blood pressure changed favourably in both groups. Adding PA group sessions did not elicit added, sustained benefits. A programme with individual meetings with LSC and physiotherapist, and group meetings with dietician can be sufficient to facilitate a healthy lifestyle and reduce cardiovascular risk factors in a population with overweight.

Physical Impairments Disrupt the Association Between Physical Activity and Loneliness: A Longitudinal Study.

This study explores the association between physical activity (PA), loneliness, and the presence of physical chronic impairments among single older adults. A longitudinal study (N = 575; mean age 76 ± 8 years) was conducted. The association between self-reported weekly minutes of moderate to vigorous PA, loneliness, and presence of physical impairments was assessed with multilevel analyses at baseline, 3 months, and 6 months. Improvements in moderate to vigorous PA were associated with decreases in loneliness (B = -0.09, SE = 0.04, p = .020); this association became nonsignificant when including the presence of physical impairments in the analyses (p = .824), which in itself was positively associated with loneliness (B = 0.51, SE = 0.10, p < .001). Findings indicate that physical impairments have a larger influence on loneliness than the level of PA. Interventions targeting PA and loneliness should tailor specifically to physical impairments.

Evaluation of a Computer-Tailored Healthy Ageing Intervention to Promote Physical Activity among Single Older Adults with a Chronic Disease.

This study explores the effectiveness of the Active Plus65 intervention designed to stimulate physical activity among single older adults with a chronic physical impairment. A quasi-experimental pre-test post-test study was performed. The intervention group (n = 411; mean age = 76.75; SD = 7.75) was assessed at baseline, three months, and six months. Data of comparable older adults who completed the original Active Plus intervention served as reference group (n = 87; mean age = 74.36; SD = 6.26). Multilevel regression analyses were applied: outcome measures were weekly minutes of moderate to vigorous physical activity (MVPA) and days per week with at least 30 minutes of MVPA. Although Active Plus65 did not outperform the original intervention, in itself Active Plus65 effectuated a significant increase in the weekly minutes of MVPA (B = 208.26; p < 0.001; Effect Size (ES) = 0.45) and in the days per week with sufficient MVPA (B = 1.20; p < 0.001; ES = 0.61) after three months. After six months, it effectuated a significant increase in the days per week with sufficient MVPA (B = 0.67; p = 0.001; ES = 0.34) but not for the weekly minutes of MVPA (p = 0.745). As Active Plus65 increased MVPA at three months with a higher ES than average interventions for this vulnerable target group, it potentially makes an interesting intervention. Further development should focus on long-term maintenance of effects.

The implementation and sustainability of a combined lifestyle intervention in primary care: mixed method process evaluation.

BACKGROUND: The impact of physical inactivity and unhealthy diet on health is increasingly profound. Lifestyle interventions targeting both behaviors simultaneously might decrease the prevalence of overweight and comorbidities. The Dutch 'BeweegKuur' is a combined lifestyle intervention (CLI) in primary care, to improve physical activity and dietary behavior in overweight people. In a cluster randomized controlled trial, the (cost-) effectiveness of an intensively guided program has been compared to a less intensively guided program. This process evaluation aimed to assess protocol adherence and potential differences between clusters. In addition, sustainability (i.e. continuation of the CLI in practice after study termination) was evaluated. METHODS: Existing frameworks were combined to design the process evaluation for our intervention and setting specifically. We assessed reach, fidelity, dose delivered and received, context and implementation strategy. Both qualitative and quantitative data were used for a comprehensive evaluation. Data were collected in semi-structured interviews with health care providers (HCPs, n = 25), drop-out registration by HCPs, regular questionnaires among participants (n = 411) and logbooks kept by researchers during the trial. RESULTS: Protocol adherence by professionals and participants varied between the programs and clusters. In both programs the number of meetings with all HCPs was lower than planned in the protocol. Participants of the supervised program attended, compared to participants of the start-up program, more meetings with physiotherapists, but fewer with lifestyle advisors and dieticians. The 'BeweegKuur' was not sustained, but intervention aspects, networks and experiences were still utilized after finalization of the project. Whether clusters continued to offer a CLI seemed dependent on funding opportunities and collaborations. CONCLUSIONS: Protocol adherence in a CLI was problematic in both HCPs and participants. Mainly the amount of dietary guidance was lower than planned, and decreased with increasing guidance by PT. Thus, feasibility of changing physical activity and dietary habits simultaneously by one intervention in one year was not as high as expected. Also the sustainability of CLI was poor. When a CLI program is started, re-invention should be allowed and maximum effort should be taken to guarantee long term continuation, by planning both implementation and sustainability carefully. TRIAL REGISTRATION: Current Controlled Trials ISRCTN46574304 . Registered 23 December 2010.

A 20 min window is optimal in a non-wear algorithm for tri-axial thigh-worn accelerometry in overweight people.

A valid non-wear algorithm for activity monitors is crucial to avoid the misclassification of sedentary time as non-wear time, and vice versa. Characteristics of the algorithm, such as time windows, should be well defined and tested. Furthermore, using tri-axial data might influence the algorithm's performance. This study assessed the optimal time window length in a non-wear algorithm for overweight adults, applied to tri-axial data from sixteen participants. Ten time windows, from 10 up to 120 min, were tested with a diary as a criterion measure. We assessed the bias in non-wear time, sensitivity and specificity. The optimal time window length was based on ten participants; the validation of this time window was carried out with six other participants. The time window of 20 min showed the highest and 120 min showed the lowest mean amount of correctly classified non-wear time, at 94% and 70% respectively. Sensitivity and specificity were considered optimal in the 20 min time window. Validation of this time window demonstrated a sensitivity and specificity of 86% and 83% respectively. A 20 min time window showed the best non-wear estimations. The current study utilized tri-axial raw data and 1 s epoch data which might have facilitated the application of a short time window and thereby decreased the risk of misclassifying non-wear.

Which activity monitor to use? Validity, reproducibility and user friendliness of three activity monitors.

BACKGROUND: Health is associated with amount of daily physical activity. Recently, the identification of sedentary time as an independent factor, has gained interest. A valid and easy to use activity monitor is needed to objectively investigate the relationship between physical activity, sedentary time and health. We compared validity and reproducibility of physical activity measurement and posture identification of three activity monitors, as well as user friendliness. METHODS: Healthy volunteers wore three activity monitors simultaneously: ActivPAL3, ActiGraphGT3X and CAM. Data were acquired under both controlled (n = 5) and free-living conditions (n = 9). The controlled laboratory measurement, that included standardized walking intensity and posture allocation, was performed twice. User friendliness was evaluated with a questionnaire. Posture classification was compared with direct observation (controlled measurement) and with diaries (free living). Accelerometer intensity accuracy was tested by correlations with walking speed. User friendliness was compared between activity monitors. RESULTS: Reproducibility was at least substantial in all monitors. The difference between the two CAM measurements increased with walking intensity. Amount of correct posture classification by ActivPAL3 was 100.0% (kappa 0.98), 33.9% by ActiGraphGT3X (kappa 0.29) and 100.0% by CAM (kappa 0.99). Correlations between accelerometer intensity and walking speed were 0.98 for ActivPAL3, 1.00 for ActiGraphGT3X and 0.98 for CAM. ICCs between activity monitors and diary were 0.98 in ActivPAL3, 0.59 and 0.96 in ActiGraphGT3X and 0.98 in CAM. ActivPAL3 and ActiGraphGT3X had higher user friendliness scores than the CAM. CONCLUSIONS: The ActivPAL3 is valid, reproducible and user friendly. The posture classification by the ActiGraphGT3X is not valid, but reflection of walking intensity and user friendliness are good. The CAM is valid; however, reproducibility at higher walking intensity and user friendliness might cause problems. Further validity studies in free living are recommended.