IMPACT: 10 lekcji ograniczających cyberprzemoc rówieśniczą – aspekt psychologiczny

Cel Celem artykułu jest prezentacja aplikacyjnego programu IMPACT którego realizacja finansowana była z funduszy NCBiR w latach 2015–2018. W tekście przedstawiono zjawisko przemocy rówieśniczej, wskazano przesłanki programu badawczego, ich rezultaty oraz zaprezentowano praktyczne ich rozwiązania w postaci 10 lekcji ukierunkowanych na profilaktykę negatywnych zachowań rówieśniczych w szczególności cyberprzemocy. Tezy Przemoc w mediach elektronicznych jest zjawiskiem powszechnym, które może być zredukowane/ ograniczane dzięki oddziaływaniom edukacyjnym, uwzględniającym złożone mechanizmy psychologiczne zjawiska. Konkluzje Program IMPACT stanowi oparty na dowodach zestaw narzędzi dydaktycznych, ocenianych jako atrakcyjne i skuteczne przez beneficjentów. Kluczowym elementem decydującym o jego efektywności okazała się interdyscyplinarna współpraca naukowców (psychologów i pedagogów) ze środowiskiem praktyków.

Impact of a Virtual Culinary Medicine Curriculum on Biometric Outcomes, Dietary Habits, and Related Psychosocial Factors among Patients with Diabetes Participating in a Food Prescription Program

Culinary medicine is an evidence-based approach that blends the art of cooking with the science of medicine to inculcate a healthy dietary pattern. Food prescription programs are gaining popularity in the Unites States, as a means to improve access to healthy foods among patient populations. The purpose of this paper is to describe the implementation and preliminary impact of A Prescription for Healthy Living (APHL) culinary medicine curriculum on biometric and diet-related behavioral and psychosocial outcomes among patients with diabetes participating in a clinic-led food prescription (food Rx) program. We used a quasi-experimental design to assess APHL program impact on patient biometric outcome data obtained from electronic health records, including glycosylated hemoglobin (HbA1c), body mass index (BMI), and blood pressure (n = 33 patients in the APHL group, n = 75 patients in the food Rx-only group). Pre-post surveys were administered among those in the APHL group to monitor program impact on psychosocial and behavioral outcomes. Results of the outcome analysis showed significant pre-to-post reduction in HbA1c levels among participants within the APHL group (estimated mean difference = −0.96% (−1.82, −0.10), p = 0.028). Between-group changes showed a greater decrease in HbA1c among those participating in APHL as compared to food Rx-only, albeit these differences were not statistically significant. Participation in APHL demonstrated significant increases in the consumption of fruits and vegetables, fewer participants reported that cooking healthy food is difficult, increased frequency of cooking from scratch, and increased self-efficacy in meal planning and cooking (p < 0.01). In conclusion, the results of our pilot study suggest the potential positive impact of a virtually-implemented culinary medicine approach in improving health outcomes among low-income patients with type 2 diabetes, albeit studies with a larger sample size and a rigorous study design are needed.

Feasibility of using mobile point-of-sale technology in Baltimore City corner stores tracking sales: A brief report

Small food retail stores in many underserved urban settings keep no electronic records, making documentation of program impact on sales difficult to obtain. We examined the feasibility of introducing a point-of-sale tablet (POST) application to track sales of foods and beverages in Baltimore City corner stores. A sample of four geographically and ethnically diverse corner store owners were trained to use POST to track sales of 14 items for eleven days. Feasibility was documented via a structured survey and open-ended interviews. POST had high economic and cultural acceptability, operability, and perceived sustainability, regardless of language differences or familiarity with mobile technology. All store owners reported willingness to use POST again. It is feasible to train corner store owners to use a point-of-sale application for sales monitoring. An upcoming trial will help to ensure that POST provides sufficient value added for corner store owners.

Analyzing YouTube data to characterize audience engagement with an online global health entertainment series (Preprint)

BACKGROUND Use of social media is expanding the reach and delivery of health-related programs and content among geographically diverse audiences. Concurrently, social media extends our capabilities to measure program impact and audience engagement. This study utilizes social media data from YouTube to describe audience engagement with Season 2 of C’est La Vie! (CLV), a transmedia television series developed and produced in West Africa that focuses on health and human rights that broadcasts on the digital platform of YouTube. OBJECTIVE We sought to characterize the content of YouTube comments for CLV; to examine the relationship between audience engagement and story components (i.e., characters); and to describe how storyline engaged comments differ across episodes. METHODS We collected all public YouTube comments (n=5,280) from CLV Season 2 episodes in February 2020, approximately three months after the season finale. We analyzed YouTube metadata, including the number of episode views, comments, and likes. We randomly sampled half of the comments (n=2,599) – proportionately to the number of comments per episode – and qualitatively analyzed viewer comments within domains of health topics, characters mentioned, and storyline engagement. RESULTS The 36-episode second season of C’est La Vie! averaged over 103,000 views, 150 comments, and more than 1,400 likes per episode. More than 25% of comments talked about a character. Nearly one in five comments showed engagement with the storyline or plot points, while only a small percentage directly discussed a health topic. Certain characters (e.g., the show’s villain “Korsa”) were discussed more often in comments; however, other characters (e.g., the show’s heroines) were discussed less frequently but were more likely to be associated with storyline-engaged comments. CONCLUSIONS Public online data can provide important insights regarding audience engagement and elements of the series that influence program impact. While online data are not necessarily representative of the larger population, our findings demonstrate potential relationships between program exposure and behavior change (i.e., audiences engaging with the storyline and characters). Our findings support the application of theoretical constructs to operationalize public, online data, especially when utilized for global health program monitoring and evaluation.

Cosecha Voices: Migrant Farmworker Students, Pedagogy, Voice, and Self-Determination

In this article, Stephanie Alvarez, José L. Martínez, Annabel Salamanca, Erika Salamanca, and Roberto C. Reyna share the impacts of Cosecha Voices, a pedagogical approach used with college students from migrant farmworker backgrounds at one of the largest Hispanic-Serving Institutions in the United States. They argue that Cosecha Voices affirms, validates, and humanizes the migrant farmworker experience and can help students not only unpack and document their migrant farmworker experiences but also strengthen their sense of self-empowerment. Utilizing testimonio, students are able to affirm and find strength in their migrant farmworker lifestyle that helps support them through their college journey. This Voices: Reflective Accounts of Education essay centers the voices of former program participants in its analysis of program impact and offers a program description, personal reflections from participants, and future considerations for similar research.

Modelización de la trayectoria del efecto de programas y políticas: implicaciones para la evaluación

In program evaluation, results could change dramatically depending on the when, it is mainly in impact evaluation. Although it is pretty relevant, only hypothetical proposals have been found in the consulted literature about how interventions effects evolve over time. This paper analyzes the plausibility of those hypothetical proposals. In this sense, it is analyzed the number of consulting on the Internet through Google Trends. In order to develop the method, several assumptions have been made regarding interventions categories and about the relationship between the number of consulting and program impact too. From visual analysis is concluded that the effect on the number of consulting fits to a sigmoidal, leptokurtic, and positive biased function. Eventually, relevance for program evaluations and methodological implications are discussed.