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A tailored e-learning gives long-term changes in determinants of GPs' benzodiazepines prescribing: a pretest-posttest study with self-report assessments.

ABSTRACT: Objective: Despite guidelines and campaigns, general practitioners (GPs) continue to overprescribe benzodiazepines (BZDs). New approaches to improve prescribing are needed. Using behavior change techniques and tailoring interventions to user characteristics are vital to promote behavior change. This study evaluated the impact of a tailored e-learning module on factors known to determine BZD prescribing within GPs.Design: A pretest-posttest study design with three self-report assessments concerning determinants of BZD prescribing: at baseline, immediately after the module (short term) and six months after completion (long term).Setting: Flanders (Belgium)Intervention: A tailored e-module that focuses on avoiding initial BZD prescriptions and using psychological interventions as an alternative.Subjects: 244 GPsMain outcome measures: Assessed determinants include GPs' attitudes concerning treatment options, perceptions of the patient and self-efficacy beliefs. Readiness to adhere to prescribing guidelines was evaluated through assessing motivation, self-efficacy and implementability of non-pharmacological interventions.Results: A significant and durable impact on determinants of BZD prescribing was observed. GPs underwent desirable changes in attitudes, perceptions and self-efficacy beliefs and these changes remained significant six months later.Conclusion: Tailoring an e-intervention to target group characteristics appears to be successful in promoting behavioral change in experienced GPs. Significant and lasting changes were observed in determinants of prescribing BZDs.Key PointsA tailored e-intervention resulted in significant and long term changes in previously identified determinants of prescribing BZDs. The e-module resulted in a positive impact on GPs' readiness to adhere to BZD prescribing guidance and the way they experience psychosocial consultations. Tailoring an e-intervention to target group characteristics appears to be successful in promoting behavioral change in experienced GPs.

SUBMITTER: Creupelandt H

PROVIDER: S-EPMC6883414 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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A tailored e-learning gives long-term changes in determinants of GPs' benzodiazepines prescribing: a pretest-posttest study with self-report assessments.

Creupelandt Hanne H Anthierens Sibyl S Habraken Hilde H Sirdifield Coral C Siriwardena Aloysius Niroshan AN Christiaens Thierry T

Scandinavian journal of primary health care 20190918 4

<b>Objective:</b> Despite guidelines and campaigns, general practitioners (GPs) continue to overprescribe benzodiazepines (BZDs). New approaches to improve prescribing are needed. Using behavior change techniques and tailoring interventions to user characteristics are vital to promote behavior change. This study evaluated the impact of a tailored e-learning module on factors known to determine BZD prescribing within GPs.<b>Design:</b> A pretest-posttest study design with three self-report assess ...[more]

PMID: 31530208

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Project description:BackgroundWeb-based interventions can play an important role in promoting physical activity (PA) behavior among older adults. Although the effectiveness of these interventions is promising, they are often characterized by low reach and high attrition, which considerably hampers their potential impact on public health.ObjectiveThe aim of this study was to identify the participant characteristics associated with the preference for a Web-based or a printed delivery mode and to determine whether an association exists between delivery modes or participant characteristics and attrition in an intervention. This knowledge may enhance implementation, sustainability of participation, and effectiveness of future interventions for older adults.MethodsA real-life pretest-posttest intervention study was performed (N=409) among community-living single adults who were older than 65 years, with physical impairments caused by chronic diseases. Measurements were taken at baseline and 3 months after the start of the intervention. Hierarchical logistic regression was used to assess demographic and behavioral characteristics (age, gender, body mass index, educational attainment, degree of loneliness, and PA level), as well as psychosocial characteristics (social support for PA, modeling, self-efficacy, attitude, and intention) related to delivery mode preference at baseline and attrition after 3 months.ResultsThe printed delivery mode achieved higher participation (58.9%, 241/409) than the Web-based delivery mode (41.1%, 168/409). Participation in the Web-based delivery mode was associated with younger age (B=-0.10; SE 0.02; Exp (B)=0.91; P<.001) and higher levels of social support for PA (B=0.38; SE 0.14; Exp (B)=1.46; P=.01); attrition was associated with participation in the Web-based delivery mode (B=1.28; SE 0.28; Exp (B)=3.58; P<.001) and low educational attainment (B=-0.53; SE 0.28; Exp (B)=0.59; P=.049).ConclusionsA total of 41% of the participants chose the Web-based delivery mode, thus demonstrating a potential interest of single older adults with physical impairments in Web-based delivered interventions. However, attrition was demonstrated to be higher in the Web-based delivery mode, and lower educational attainment was found to be a predictor for attrition. Characteristics predicting a preference for the printed delivery mode included being older and receiving less social support. Although Web-based delivery modes are generally less expensive and easier to distribute, it may be advisable to offer a printed delivery mode alongside a Web-based delivery mode to prevent exclusion of a large part of the target population.Trial registrationNetherlands Trial Register NTR2297; https://www.trialregister.nl/trial/2173.International registered report identifier (irrid)RR2-DOI: 10.2196/resprot.8093.

Project description:BackgroundSocial distancing measures to address the US coronavirus disease 2019 (COVID-19) epidemic may have notable health and social impacts.Methods and findingsWe conducted a longitudinal pretest-posttest comparison group study to estimate the change in COVID-19 case growth before versus after implementation of statewide social distancing measures in the US. The primary exposure was time before (14 days prior to, and through 3 days after) versus after (beginning 4 days after, to up to 21 days after) implementation of the first statewide social distancing measures. Statewide restrictions on internal movement were examined as a secondary exposure. The primary outcome was the COVID-19 case growth rate. The secondary outcome was the COVID-19-attributed mortality growth rate. All states initiated social distancing measures between March 10 and March 25, 2020. The mean daily COVID-19 case growth rate decreased beginning 4 days after implementation of the first statewide social distancing measures, by 0.9% per day (95% CI -1.4% to -0.4%; P < 0.001). We did not observe a statistically significant difference in the mean daily case growth rate before versus after implementation of statewide restrictions on internal movement (0.1% per day; 95% CI -0.04% to 0.3%; P = 0.14), but there is substantial difficulty in disentangling the unique associations with statewide restrictions on internal movement from the unique associations with the first social distancing measures. Beginning 7 days after social distancing, the COVID-19-attributed mortality growth rate decreased by 2.0% per day (95% CI -3.0% to -0.9%; P < 0.001). Our analysis is susceptible to potential bias resulting from the aggregate nature of the ecological data, potential confounding by contemporaneous changes (e.g., increases in testing), and potential underestimation of social distancing due to spillover effects from neighboring states.ConclusionsStatewide social distancing measures were associated with a decrease in the COVID-19 case growth rate that was statistically significant. Statewide social distancing measures were also associated with a decrease in the COVID-19-attributed mortality growth rate beginning 7 days after implementation, although this decrease was no longer statistically significant by 10 days.

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Dataset Information

A tailored e-learning gives long-term changes in determinants of GPs' benzodiazepines prescribing: a pretest-posttest study with self-report assessments.

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A tailored e-learning gives long-term changes in determinants of GPs' benzodiazepines prescribing: a pretest-posttest study with self-report assessments.

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