Explore the vast range of titles available.

Electronic medical record (EMR) systems have the potential to improve the quality of care and clinical outcomes for individuals with chronic and complex diseases. However, studies on the development and use of EMR systems for type 1 (T1) diabetes management in sub-Saharan Africa are few. The aim of this study is to analyze the need for improvements in the care processes that can be facilitated by an EMR system and to develop an EMR system for increasing quality of care and clinical outcomes for individuals with T1 diabetes in Rwanda. A qualitative, cocreative, and multidisciplinary approach involving local stakeholders, guided by the framework for complex public health interventions, was applied. Participant observation and the patient's personal experiences were used as case studies to understand the clinical care context. A focus group discussion and workshops were conducted to define the features and content of an EMR. The data were analyzed using thematic analysis. The identified themes related to feature requirements were (1) ease of use, (2) automatic report preparation, (3) clinical decision support tool, (4) data validity, (5) patient follow-up, (6) data protection, and (7) training. The identified themes related to content requirements were (1) treatment regimen, (2) mental health, and (3) socioeconomic and demographic conditions. A theory of change was developed based on the defined feature and content requirements to demonstrate how these requirements could strengthen the quality of care and improve clinical outcomes for people with T1 diabetes. The EMR system, including its functionalities and content, can be developed through an inclusive and cocreative process, which improves the design phase of the EMR. The development process of the EMR system is replicable, but the solution needs to be customized to the local context.

Background and Aims The effects of community closures and relaxing social distancing restrictions on severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) by occupational risk remain unclear. Therefore, we evaluated the impact of community closures and reopening phases with the prevalence of testing SARS‐CoV‐2‐positive among nonessential and essential workers. Methods We constructed a cross‐sectional cohort from March 20 to July 31, 2020, of 344 adults from Metropolitan Nashville, Tennessee. We performed an unconditional logistic regression model to evaluate the impact of community closures and phase implementation on testing SARS‐CoV‐2 positive by occupation to estimate adjusted prevalence odds ratios (aPORs) and 95% confidence intervals (CIs). Results During a stay‐at‐home/Phase I order, those with non‐essential occupations had 59% decreased prevalence odds (aPOR:0.41; 95% CI: 0.20–0.84) of testing SARS‐CoV‐2‐positive compared to when no restrictions were in place. Persons with essential occupations had four times the prevalence odds of testing SARS‐CoV‐2‐positive (aPOR:4.19; 95% CI:1.57–11.18) compared with nonessential occupations when no community restrictions were established. Conclusion Stay‐at‐home restrictions were associated with a lower risk of SARS‐CoV‐2 infection in the community for nonessential workers. Essential employees remained at increased risk for SARS‐CoV‐2, including when no community restrictions were in place and vaccines were not available. This study supports targeting prevention measures for these high‐risk occupations.

Digital public health is an emerging field in population-based research and practice. The fast development of digital technologies provides a fundamentally new understanding of improving public health by using digitalization, especially in prevention and health promotion. The first step toward a better understanding of digital public health is to conceptualize the subject of the assessment by defining what digital public health interventions are. This is important, as one cannot evaluate tools if one does not know what precisely an intervention in this field can be. Therefore, this study aims to provide the first definition of digital public health interventions. We will merge leading models for public health functions by the World Health Organization, a framework for digital health technologies by the National Institute for Health and Care Excellence, and a user-centered approach to intervention development. Together, they provide an overview of the functions and areas of use for digital public health interventions. Nevertheless, one must keep in mind that public health functions can differ among different health care systems, limiting our new framework’s universal validity. We conclude that a digital public health intervention should address essential public health functions through digital means. Furthermore, it should include members of the target group in the development process to improve social acceptance and achieve a population health impact.

Background To achieve population-wide health improvement, public health interventions found effective in selected samples need to be ‘scaled up’ and implemented more widely. The pathways through which interventions are scaled up are not well characterised. The aim of this paper is to identify examples of public health interventions which have been scaled up and to develop a conceptual framework which quantifies and describes this process. Methods A multi-stage international literature search was undertaken to identify examples of public health interventions in high income countries that have been scaled up or implemented at scale. Initial abstract review identified articles which met all the criteria of being a: 1) public health intervention; 2) chronic disease prevention focus; 3) program delivered at a wide geographical scale (state, national or international). Interventions were reviewed and coded into a conceptual framework pathway to document their scaling up process. For each program, an in-depth review of the identified articles was undertaken along with a broad internet based search to determine the outcomes of the dissemination process. A conceptual framework of scaling up pathways was developed that involved four stages (development, efficacy testing, real world trial and dissemination) to which the 40 programs were mapped. Results The search identified 40 public health interventions that showed evidence of being scaled up. Four pathways were identified to capture the different scaling up trajectories taken which included: ‘Type I – Comprehensive’ (55%) which passed through all four stages, ‘Type II – Efficacy omitters’ (5%) which did not conduct efficacy testing, ‘Type III – Trial omitters’ (25%) which did not conduct a real world trial, and ‘Type IV – At scale dissemination’ (15%) which skipped both efficacy testing and a real world trial. Conclusions This is the first study to classify and quantify the potential pathways through which public health interventions in high income countries are scaled up to reach the broader population. Mapping these pathways not only demonstrates the different trajectories that occur in scaling up public health interventions, but also allows the variation across scaling up pathways to be classified. The policy and practice determinants leading to each pathway remain for future study, especially to identify the conditions under which efficacy and replication stages are missing.

Abstract To achieve universal health coverage, the scale-up of high impact public health interventions is essential. However, scale-up is challenging and often not successful. Therefore, a systematic review was conducted to provide insights into the factors influencing the scale-up of public health interventions in low- and middle-income countries (LMICs). Two databases were searched for studies with a qualitative research component. The GRADE-CERQual approach was applied to assess the confidence in the evidence for each key review finding. A multi-level perspective on transition was applied to ensure a focus on vertical scale-up for sustainability. According to this theory, changes in the way of organizing (structure), doing (practice) and thinking (culture) need to take place to ensure the scale-up of an intervention. Among the most prominent factors influencing scale-up through changes in structure was the availability of financial, human and material resources. Inadequate supply chains were often barriers to scale-up. Advocacy activities positively influenced scale-up, and changes in the policy environment hindered or facilitated scale-up. The most outstanding factors influencing scale-up through changes in practice were the availability of a strategic plan for scale-up and the way in which training and supervision was conducted. Furthermore, collaborations such as community participation and partnerships facilitated scale-up, as well as the availability of research and monitoring and evaluation data. Factors influencing scale-up through a change in culture were less prominent in the literature. While some studies articulated the acceptability of the intervention in a given sociocultural environment, more emphasis was placed on the importance of stakeholders feeling a need for a specific intervention to facilitate its scale-up. All identified factors should be taken into account when scaling up public health interventions in LMICs. The different factors are strongly interlinked, and most of them are related to one crucial first step: the development of a scale-up strategy before scaling up.

Background Non-pharmaceutical interventions (NPIs) are used to reduce transmission of SARS coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19). However, empirical evidence of the effectiveness of specific NPIs has been inconsistent. We assessed the effectiveness of NPIs around internal containment and closure, international travel restrictions, economic measures, and health system actions on SARS-CoV-2 transmission in 130 countries and territories. Methods We used panel (longitudinal) regression to estimate the effectiveness of 13 categories of NPIs in reducing SARS-CoV-2 transmission using data from January to June 2020. First, we examined the temporal association between NPIs using hierarchical cluster analyses. We then regressed the time-varying reproduction number ( R t ) of COVID-19 against different NPIs. We examined different model specifications to account for the temporal lag between NPIs and changes in R t , levels of NPI intensity, time-varying changes in NPI effect, and variable selection criteria. Results were interpreted taking into account both the range of model specifications and temporal clustering of NPIs. Results There was strong evidence for an association between two NPIs (school closure, internal movement restrictions) and reduced R t . Another three NPIs (workplace closure, income support, and debt/contract relief) had strong evidence of effectiveness when ignoring their level of intensity, while two NPIs (public events cancellation, restriction on gatherings) had strong evidence of their effectiveness only when evaluating their implementation at maximum capacity (e.g. restrictions on 1000+ people gathering were not effective, restrictions on < 10 people gathering were). Evidence about the effectiveness of the remaining NPIs (stay-at-home requirements, public information campaigns, public transport closure, international travel controls, testing, contact tracing) was inconsistent and inconclusive. We found temporal clustering between many of the NPIs. Effect sizes varied depending on whether or not we included data after peak NPI intensity. Conclusion Understanding the impact that specific NPIs have had on SARS-CoV-2 transmission is complicated by temporal clustering, time-dependent variation in effects, and differences in NPI intensity. However, the effectiveness of school closure and internal movement restrictions appears robust across different model specifications, with some evidence that other NPIs may also be effective under particular conditions. This provides empirical evidence for the potential effectiveness of many, although not all, actions policy-makers are taking to respond to the COVID-19 pandemic.

Background After experiencing a sharp growth in COVID-19 cases early in the pandemic, South Korea rapidly controlled transmission while implementing less stringent national social distancing measures than countries in Europe and the USA. This has led to substantial interest in their “test, trace, isolate” strategy. However, it is important to understand the epidemiological peculiarities of South Korea’s outbreak and characterise their response before attempting to emulate these measures elsewhere. Methods We systematically extracted numbers of suspected cases tested, PCR-confirmed cases, deaths, isolated confirmed cases, and numbers of confirmed cases with an identified epidemiological link from publicly available data. We estimated the time-varying reproduction number, R t , using an established Bayesian framework, and reviewed the package of interventions implemented by South Korea using our extracted data, plus published literature and government sources. Results We estimated that after the initial rapid growth in cases, R t dropped below one in early April before increasing to a maximum of 1.94 (95%CrI, 1.64–2.27) in May following outbreaks in Seoul Metropolitan Region. By mid-June, R t was back below one where it remained until the end of our study (July 13th). Despite less stringent “lockdown” measures, strong social distancing measures were implemented in high-incidence areas and studies measured a considerable national decrease in movement in late February. Testing the capacity was swiftly increased, and protocols were in place to isolate suspected and confirmed cases quickly; however, we could not estimate the delay to isolation using our data. Accounting for just 10% of cases, individual case-based contact tracing picked up a relatively minor proportion of total cases, with cluster investigations accounting for 66%. Conclusions Whilst early adoption of testing and contact tracing is likely to be important for South Korea’s successful outbreak control, other factors including regional implementation of strong social distancing measures likely also contributed. The high volume of testing and the low number of deaths suggest that South Korea experienced a small epidemic relative to other countries. Caution is needed in attempting to replicate the South Korean response in populations with larger more geographically widespread epidemics where finding, testing, and isolating cases that are linked to clusters may be more difficult.

Background Based on studies conducted in the global north, it is well documented that those who feel stigmatized by overweight/obesity can suffer extreme emotional distress, be subject to (often legal and socially-acceptable) discrimination, and adjust diet and exercise behaviors. These lead to significant negative health impacts, including depression and further weight gain. To date, weight-related stigma has been conceptualized as a problem particular to the highest income, industrialized, historically thin-valorizing societies like the US, Australasia, and Western Europe. Main body There is limited but highly suggestive evidence that obesity stigma is an emergent phenomenon that affects populations across the global south. Emergent evidence includes: implicit and explicit measures showing very high levels of weight stigma in middle and low-income countries, complex ethnographic evidence of widespread anti-fat beliefs even where fat-positivity endures, the globalization of new forms of “fat talk,” and evidence of the emotional and material damage of weight-related rejection or mistreatment even where severe undernutrition is still a major challenge. Conclusion Recognizing weight stigma as a global health problem has significant implications for how public health conceives and implements appropriate responses to the growing “obesity epidemic” in middle and lower income settings.

Increased focus on prevention presents health promoters with new opportunities and challenges. In this context, the study of factors influencing policy-maker decisions to scale up health promotion interventions from small projects or controlled trials to wider state, national or international roll-out is increasingly important. This study aimed to: (i) examine the perspectives of senior researchers and policy-makers regarding concepts of 'scaling up' and 'scalability'; (ii) generate an agreed definition of 'scalability' and (iii) identify intervention and research design factors perceived to increase the potential for interventions to be implemented on a more widespread basis or 'scaled up'. A two-stage Delphi process with an expert panel of senior Australian public health intervention researchers (n = 7) and policy-makers (n = 7) and a review of relevant literature were conducted. Through this process 'scal- ability' was defined as: the ability of a health intervention shown to be efficacious on a small scale and or under controlled conditions to be expanded under real world conditions to reach a greater proportion of the eligible population, while retaining effectiveness. Results showed that in health promotion research insufficient attention is given to issues of effectiveness, reach and adoption; human, technical and organizational resources; costs; intervention delivery; contextual factors and appropriate evaluation approaches. If these issues were addressed in the funding, design and reporting of intervention research, it would advance the quality and usability of research for policy-makers and by doing so improve uptake and expansion of promising programs into practice.

Objective: To evaluate the implementation of Ontario's publicly-funded, school-based HPV immunization program through a process evaluation. Participants: The immunization program targets grade 8 females. Ontario vaccine-preventable disease managers were the key informants for this evaluation. Setting: Ontario, Canada. Intervention: Ontario's Public Health Units (HUs) are responsible for the local implementation of the immunization program. The process evaluation involved a telephone-based, semi-structured questionnaire which included questions on stakeholder engagement; school and school board participation; communication strategies; and processes for obtaining informed consent. Outcomes: All 36 HUs participated; 16 (44%) reported difficulties receiving agreement from local school boards to administer HPV vaccine in schools. Two Catholic school boards have not permitted HPV vaccine clinics in their schools: 1 only during the first year and 1 in the second and third years. All HUs request parental consent for students to receive the HPV vaccine and 5/36 also request or encourage student consent; 14 HUs indicated they would immunize a grade 8 girl at a school clinic, in the absence of parental consent, if the student requested immunization and was judged capable of providing informed consent. Conclusion: Many HUs reported challenges in receiving support from local school boards. Despite this, vaccine clinics have been offered in all but 2 public school boards since 2007. All HUs request parental consent before HPV immunization at school-based clinics; 39% would consider immunizing in absence of parental consent. The results of this process evaluation will inform the HPV immunization program evaluation that is currently underway in Ontario. Objectif : Évaluer la mise en oeuvre du programme ontarien de vaccination en milieu scolaire contre le VPH (un programme subventionné par l'État) au moyen d'une évaluation en cours d'exécution. Participants : Le programme cible les filles en 8e année. Nos informateurs pour cette évaluation étaient les gestionnaires ontariens des maladies evitables par la vaccination. Lieu : Ontario (Canada). Intervention : Les bureaux de santé publique (BSP) de l'Ontario sont chargés de la mise en oeuvre du programme de vaccination sur le terrain. Notre évaluation en cours d'exécution comportait un questionnaire téléphonique semi-structure avec des questions sur la mobilisation des intervenants; la participation des écoles et des conseils scolaires; des stratégies de communication; et un processus d'obtention d'un consentement éclairé. Résultats : Les 36 BSP ont participé à l'étude; 16 d'entre eux (44 %) ont fait état de difficultés à obtenir l'accord des conseils scolaires locaux pour administrer le vaccin anti-VPH dans les écoles. Deux conseils scolaires catholiques n'ont pas autorisé la présence de cliniques de vaccination contre le VPH dans leurs écoles : un la première année seulement et un autre la deuxième et la troisième année. Tous les BSP demandent le consentement parental à ce que l'élève reçoive le vaccin anti-VPH, et 5 sur 36 demandent et encouragent aussi le consentement de l'élève; 14 BSP ont dit qu'ils vaccineraient une élève de 8 e année à la clinique de l'école en l'absence de consentement parental si l'élève elle-même demandait à être vaccinée et qu'elle était jugée capable de donner un consentement éclairé. Conclusion : De nombreux BSP ont fait état de difficultés à obtenir l'appui des conseils scolaires locaux. Malgré cela, les cliniques de vaccination ont été tenues dans tous les conseils scolaires sauf deux depuis 2007. Tous les BSP demandent le consentement parental à la vaccination contre le VPH à l'école; 39 % des BSP songeraient à vacciner une élève en l'absence de consentement parental. Nos résultats viendront étayer l'évaluation du programme de vaccination contre le VPH en cours d'exécution en Ontario.