Evaluating and Enhancing an Educational Intervention to Reduce Smallholder Farmers' Exposure to Pesticides in Uganda Through a Digital, Systematic Approach to Behavior Change: Protocol for a Cluster-Randomized Controlled Trial.

BACKGROUND: Smallholder farmers receive educational interventions on safe pesticide handling by governmental agencies, industries, or nongovernmental organizations to reduce exposure risks. However, existing educational interventions have limited effects on changing behaviors. Targeting psychosocial determinants of behavior change in educational interventions through theory- and evidence-based approaches may enhance their effectiveness. OBJECTIVE: We aim at describing the intervention development and study design of a 3-arm cluster-randomized controlled trial to assess the effects in improving safe pesticide handling and reducing pesticide exposure of (1) an existing educational intervention and (2) a newly developed SMS text messaging intervention based on the Risks, Attitudes, Norms, Abilities, and Self-regulation (RANAS) behavior change approach. METHODS: We enrolled 539 Ugandan smallholder farmers in 12 clusters (subcounties). The clusters, each with 45 farmers, were randomly allocated to one of the three arms: (1) educational intervention, (2) educational intervention+RANAS-based SMS text messages, or (3) control group. The educational intervention comprised a 2-day workshop that targeted multiple aspects of safe pesticide handling, whereas the SMS text messages targeted the use of personal protective equipment (PPE) and were based on the RANAS approach. For intervention development in this study, this approach includes identifying psychosocial determinants of PPE use at baseline and selecting behavior change techniques to target them in SMS text messages. The primary outcomes of the study are (1) pesticide knowledge, attitude, and practice scores indicating performance throughout the educational intervention; and (2) frequency of PPE use. Secondary outcomes are the RANAS-based behavioral determinants of PPE use, the frequency of glove use, algorithm-based pesticide exposure intensity scores, and signs and symptoms of pesticide poisoning. The outcomes were assessed in structured interviews before the intervention (baseline) and at the 12-month follow-up. The effect of the interventions among the arms will be analyzed using the intervention arms and baseline measures as predictors and the follow-up measures as outcomes in linear multivariable mixed models including the clusters as random effects. The mediating psychosocial determinants of the interventions will be assessed in multiple mediation models. RESULTS: The study was conducted from 2020 to 2021-baseline interviews were conducted in October 2020, and the educational intervention was delivered in November 2020. The RANAS-based SMS text messages were developed based on the baseline data for relevant behavioral determinants of PPE use and sent between February 2021 and September 2021. Follow-up interviews were conducted in October 2021. Overall, 539 farmers were enrolled in the study at baseline; 8.3% (45/539) were lost to follow-up by the end of the study. CONCLUSIONS: This study will contribute to a better understanding of the effectiveness and behavior change mechanisms of educational interventions by using an experimental, cluster-randomized study design to improve pesticide handling among smallholder farmers. TRIAL REGISTRATION: International Standard Randomised Controlled Trial Number (ISRCTN) 18237656; https://doi.org/10.1186/ISRCTN18237656. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55238.

Compensatory health beliefs and unhealthy snack consumption in daily life.

Compensatory health beliefs (CHBs) are beliefs that an unhealthy behavior (unhealthy eating) can be compensated for by engaging in a healthy behavior (physical activity). Previous research focused on CHBs as rather stable beliefs (trait). Some studies indicated that situation-specific CHBs (state) might be important in situations, in which people are confronted with an unhealthy snack. This study aims to investigate the association between CHBs and unhealthy snack consumption in daily life with a special focus on the distinction between trait and state CHBs. Overall, N = 45 participants (66.7% female; age: 18-45 years, M = 21.9) received a link to an online questionnaire five times daily for seven consecutive days (n = 1575 possible diary entries). They reported unhealthy snack consumption, state and trait CHBs concerning the compensation with subsequent eating behavior and physical activity. The results showed that trait and state CHBs were significantly positively related to unhealthy snack consumption in daily life. Different effects appeared for CHBs concerning the compensation with subsequent eating behavior compared to the compensation with physical activity. This study demonstrates that both, state and trait CHBs are important for unhealthy snack consumption in daily life. Findings emphasize the need for further daily diary approaches to understand the temporal sequence of state CHBs that could further explain the use of CHBs as a maladaptive strategy for unhealthy eating.

Refining hand washing interventions by identifying active ingredients: A cluster-randomized controlled trial in rural Zimbabwe.

RATIONALE: Consistent hand washing with soap can reduce the risk of diarrhea, but changing hand-washing behavior is difficult. Systematic behavior change approaches promise to enhance hand washing with soap effectively, and allow the identification of active intervention ingredients using mediation analysis. This knowledge can then be used to derive hypotheses for systematically refining the intervention. OBJECTIVE: We demonstrate this at the example of a behavior change intervention to promote hand washing with soap based on the RANAS approach (risk, attitudes, norms, ability, and self-regulation). METHODS: Sixteen wards of Masvingo province in Zimbabwe were randomly allocated to the RANAS-based intervention or a wait-list control group. Hand washing at baseline and follow-up was observed for 224 randomly selected caregivers of young children. They additionally participated in quantitative face-to-face interviews assessing psychosocial factors. RESULTS: At baseline, hand washing with soap was <3% on average, and did not differ between groups (p = .526). At follow-up, intervention participants washed hands with soap more frequently than controls (in 29.4% vs. 8.2% of all stool- and food-related situations, B = 1.88, SE = 0.32, OR = 6.6, p < .001). Mediation analyses revealed that the intervention enhanced several of the targeted psychosocial factors; return, descriptive and injunctive norms, action knowledge, action self-efficacy, maintenance self-efficacy, action planning, and remembering. The intervention effect was mediated through increased remembering. CONCLUSION: This study supports the efficacy of a systematic approach to behavior change to promote hand washing with soap. The analyses of the mechanisms revealed important insights into the active ingredients of the intervention, which will facilitate its future refinement.

Using Smartphone-Based Support Groups to Promote Healthy Eating in Daily Life: A Randomised Trial.

BACKGROUND: Although many people intend to eat healthily, they often fail to do so. We report the first randomised trial testing whether smartphone-based support groups can enhance healthy eating. METHODS: Adults (N = 203) were randomised to the support or control condition (information), and to one of two eating goals (increasing fruit and vegetable/decreasing unhealthy snack consumption). After baseline, participants received information on their assigned eating goal, and completed a 13-day electronic diary. During Days 4-10, support participants were asked to support each other in achieving their eating goal in smartphone-based groups. The primary outcome was daily servings of fruit/vegetables or unhealthy snacks. Maintenance of intervention effects was assessed on Days 11-13, and at 1-month and 2-month follow-ups. RESULTS: Support participants showed a gradual increase in healthy eating over time, and ate 1.4 fruits and vegetables more, 95% CI [0.3, 2.6], or 0.8 unhealthy snacks less, 95% CI [-1.4, -0.2] than controls on Day 10. Most effects were not maintained at follow-ups. CONCLUSIONS: Smartphone-based groups can promote fruit and vegetable consumption and decrease unhealthy snack intake. This study extends previous findings of the benefits of support groups, and sheds light on the temporal dynamics of behavior change.

Assessing adherence to multiple medications and in daily life among patients with multimorbidity.

OBJECTIVE: Chronic conditions often require multiple medication intake. However, past research has focused on assessing overall adherence or adherence to a single index medication only. This study explored adherence measures for multiple medication intake, and in daily life, among patients with multiple chronic conditions (i.e. multimorbidity). DESIGN: Eighty-four patients with multimorbidity and multiple-medication regimens completed three monthly panel questionnaires. A randomly assigned subsample additionally completed a 30-day daily diary. MAIN OUTCOME MEASURE: The Non-Adherence Report; a brief self-report measure of adherence to each prescribed medication (NAR-M), and in daily life. We further assessed the Medication Adherence Report Scale (MARS), and a subsample of participants were randomised to electronic adherence monitoring. RESULTS: The NAR-M indicated M = 94.7% adherence at Time 1 (SD = 9.3%). The NAR-M was significantly correlated with the MARS (rt1 = .52, rt2 = .57, and rt3 = .65; p < .001), and in tendency with electronically assessed adherence (rt2 = .45, rt3 = .46, p < .10). Variance components analysis indicated that between-person differences accounted for 10.2% of the variance in NAR-M adherence rates, whereas 22.9% were attributable to medication by person interactions. CONCLUSION: This study highlights the importance and feasibility of studying adherence to multiple medications differentially, and in daily life. Future studies may use these measures to investigate within-person and between-medication differences in adherence.