Systematic Review of Contemporary Theories Used for Co-creation, Co-design and Co-production in Public Health.

BACKGROUND: There is a need to systematically identify and summarize the contemporary theories and theoretical frameworks used for co-creation, co-design and co-production in public health research. METHODS: The reporting of this systematic review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Given substantial interest in and application of co-creation, co-design and co-production, we searched PubMed, CINAHL, Scopus and APA PsycINFO from 2012 to March-April 2022. A quality assessment and data extraction for theory content was performed. RESULTS: Of the 3763 unique references identified through the comprehensive search strategy, 10 articles were included in the review: four articles named co-creation, two articles named co-creation and co-design, two articles named co-production and co-design, and two articles named co-design. Empowerment Theory was employed by two articles, whereas other theories (n = 5) or frameworks (n = 3) were employed by one article each. For the quality assessment, eight articles received a strong rating and two articles received a moderate rating. CONCLUSION: There is little indication of theory applications for the approaches of co-creation, co-design and co-production in public health since 2012, given 10 articles were included in this review. Yet, the theories described in these 10 articles can be useful for developing such co-approaches in future public health research.

Digital Interventions for Treating Post-COVID or Long-COVID Symptoms: Scoping Review.

BACKGROUND: Patients with post-COVID/long-COVID symptoms need support, and health care professionals need to be able to provide evidence-based patient care. Digital interventions can meet these requirements, especially if personal contact is limited. OBJECTIVE: We reviewed evidence-based digital interventions that are currently available to help manage physical and mental health in patients with post-COVID/long-COVID symptoms. METHODS: A scoping review was carried out summarizing novel digital health interventions for treating post-COVID/long-COVID patients. Using the PICO (population, intervention, comparison, outcome) scheme, original studies were summarized, in which patients with post-COVID/long-COVID symptoms used digital interventions to help aid recovery. RESULTS: From all scanned articles, 8 original studies matched the inclusion criteria. Of the 8 studies, 3 were "pretest" studies, 3 described the implementation of a telerehabilitation program, 1 was a post-COVID/long-COVID program, and 1 described the results of qualitative interviews with patients who used an online peer-support group. Following the PICO scheme, we summarized previous studies. Studies varied in terms of participants (P), ranging from adults in different countries, such as former hospitalized patients with COVID-19, to individuals in disadvantaged communities in the United Kingdom, as well as health care workers. In addition, the studies included patients who had previously been infected with COVID-19 and who had ongoing symptoms. Some studies focused on individuals with specific symptoms, including those with either post-COVID-19 or long-term symptoms, while other studies included patients based on participation in online peer-support groups. The interventions (I) also varied. Most interventions used a combination of psychological and physical exercises, but they varied in duration, frequency, and social dimensions. The reviewed studies investigated the physical and mental health conditions of patients with post-COVID/long-COVID symptoms. Most studies had no control (C) group, and most studies reported outcomes (O) or improvements in physiological health perception, some physical conditions, fatigue, and some psychological aspects such as depression. However, some studies found no improvements in bowel or bladder problems, concentration, short-term memory, unpleasant dreams, physical ailments, perceived bodily pain, emotional ailments, and perceived mental health. CONCLUSIONS: More systematic research with larger sample sizes is required to overcome sampling bias and include health care professionals' perspectives, as well as help patients mobilize support from health care professionals and social network partners. The evidence so far suggests that patients should be provided with digital interventions to manage symptoms and reintegrate into everyday life, including work.

Effective Communication Supported by an App for Pregnant Women: Quantitative Longitudinal Study.

BACKGROUND: In the medical field of obstetrics, communication plays a crucial role, and pregnant women, in particular, can benefit from interventions improving their self-reported communication behavior. Effective communication behavior can be understood as the correct transmission of information without misunderstanding, confusion, or losses. Although effective communication can be trained by patient education, there is limited research testing this systematically with an app-based digital intervention. Thus, little is known about the success of such a digital intervention in the form of a web-app, potential behavioral barriers for engagement, as well as the processes by which such a web-app might improve self-reported communication behavior. OBJECTIVE: This study fills this research gap by applying a web-app aiming at improving pregnant women's communication behavior in clinical care. The goals of this study were to (1) uncover the potential risk factors for early dropout from the web-app and (2) investigate the social-cognitive factors that predict self-reported communication behavior after having used the web-app. METHODS: In this study, 1187 pregnant women were recruited. They all started to use a theory-based web-app focusing on intention, planning, self-efficacy, and outcome expectancy to improve communication behavior. Mechanisms of behavior change as a result of exposure to the web-app were explored using stepwise regression and path analysis. Moreover, determinants of dropout were tested using logistic regression. RESULTS: We found that dropout was associated with younger age (P=.014). Mechanisms of behavior change were consistent with the predictions of the health action process approach. The stepwise regression analysis revealed that action planning was the best predictor for successful behavioral change over the course of the app-based digital intervention (ß=.331; P<.001). The path analyses proved that self-efficacy beliefs affected the intention to communicate effectively, which in turn, elicited action planning and thereby improved communication behavior (ß=.017; comparative fit index=0.994; Tucker-Lewis index=0.971; root mean square error of approximation=0.055). CONCLUSIONS: Our findings can guide the development and improvement of apps addressing communication behavior in the following ways in obstetric care. First, such tools would enable action planning to improve communication behavior, as action planning is the key predictor of behavior change. Second, younger women need more attention to keep them from dropping out. However, future research should build upon the gained insights by conducting similar internet interventions in related fields of clinical care. The focus should be on processes of behavior change and strategies to minimize dropout rates, as well as replicating the findings with patient safety measures. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03855735; https://classic.clinicaltrials.gov/ct2/show/NCT03855735.

Impact of organ transplantation in heart, lung and liver recipients: assessment of positive life changes.

OBJECTIVE: The majority of psychological studies with organ transplant recipients have examined negative psychological effects. This study aimed to further investigate the positive effects of organ transplantation and to construct a specific measurement instrument. DESIGN: The initial pool of 14 items for the Positive Effects of Transplant Scale (PETS) was derived from organ recipient interviews. A cross-sectional postal study included 87 heart, 46 lung and 193 liver transplant recipients. The PETS was subjected to principal components analysis (PCA) using varimax rotation, and associations with other measures investigated. MAIN OUTCOME MEASURES: PETS and an open-ended item about positive effects. RESULTS: Coding of the open-ended item revealed that the majority of recipients attributed positive life changes to the transplant experience. PCA of the PETS indicated three factors that accounted for 58.82% of the variance. The 12-item questionnaire assesses improvements in: (1) life philosophy, (2) gratitude and (3) health. The total PETS scores exhibited adequate internal consistency and validity. DISCUSSION: Most transplant patients report positive psychological effects, which suggests this may be an understudied area. The initial development of an assessment tool provides researchers and clinicians a way to assess the degree and nature of these life changes.