Evaluating Public Health Interventions: 2. Stepping Up to Routine Public Health Evaluation With the Stepped Wedge Design

Active support as good support in group homes? A longitudinal interview study with service users

BACKGROUND

Support from staff plays an important role in quality of life for people with intellectual disability. This study focuses on service users' views of Active Support as good support and whether Active Support increases the quality of everyday support in group homes.

METHOD

Nine service users were interviewed at baseline and at follow-up one year after staff received Active Support training. Thematic analyses were used to develop themes.

RESULTS

Three main themes were created: (1) Home is more than just a place, it is a feeling; (2) Good care is caring with accessible communication; and (3) Time is precious. Participants were more satisfied with most of the support at follow-up, particularly choice-making, control in everyday life, relationships, and emotional support.

CONCLUSIONS

Active Support corresponds well with service users' perceptions of good support. In future studies of Active Support service users' voices should be a part of the follow-up.

Linking Inter-professional Newborn and Contraception Care (LINCC) trial: Protocol for a stepped wedge cluster randomized trial to link postpartum contraception care with routine Well-Baby Visits

BACKGROUND

Pregnancies conceived within 18 months of a prior delivery (termed short inter-pregnancy interval [IPI]) place mothers and infants at high risk for poor health outcomes. Despite this, nearly one third of U.S. women experience a short IPI.

OBJECTIVE

To address the gap in the current model of postpartum (PP) contraception care by developing and implementing a novel approach to link (co-schedule) PP contraception care with newborn well-baby care to improve access to timely PP contraception.

METHODS

The LINCC Trial will take place in seven clinical locations across five community health centers within the U.S. PP patients (planned n = 3150) who are attending a Well-Baby Visit between 0 and 6 months will be enrolled. The LINCC Trial aims to leverage the Electronic Health Record to prompt providers to ask PP patients attending a Well-Baby Visit about their PP contraception needs and facilitate co-scheduling of PP contraception care with routine newborn care visits. The study includes a cluster randomized, cross-sectional stepped wedge design to roll out the intervention across the seven sites. The outcomes of the study include receipt of most or moderately effective methods of contraception by two and six months PP; and rate of short IPI pregnancies. Implementation outcomes will be assessed at baseline and 6 months after site enters intervention period.

CONCLUSIONS

The LINCC Trial seeks to evaluate the effectiveness and feasibility of a linked care model in comparison to usual care.

Navigating grey areas in HIV and mental health implementation science

INTRODUCTION

Implementation science (IS) offers methods to systematically achieve the Ending the HIV Epidemic goals in the United States, as well as the global UNAIDS targets. Federal funders such as the National Institutes of Mental Health (NIMH) have invested in implementation research to achieve these goals, including supporting the AIDS Research Centres (ARCs), which focus on high-impact science in HIV and mental health (MH). To facilitate capacity building for the HIV/MH research workforce in IS, "grey areas," or areas of IS that are confusing, particularly for new investigators, should be addressed in the context of HIV/MH research.

DISCUSSION

A group of IS experts affiliated with NIMH-funded ARCs convened to identify common and challenging grey areas. The group generated a preliminary list of 19 grey areas in HIV/MH-related IS. From the list, the authors developed a survey which was distributed to all ARCs to prioritize grey areas to address in this paper. ARC members across the United States (N = 60) identified priority grey areas requiring clarification. This commentary discusses topics with 40% or more endorsement. The top grey areas that ARC members identified were: (1) Differentiating implementation strategies from interventions; (2) Determining when an intervention has sufficient evidence for adaptation; (3) Integrating recipient perspectives into HIV/MH implementation research; (4) Evaluating whether an implementation strategy is evidence-based; (5) Identifying rigorous approaches for evaluating the impact of implementation strategies in the absence of a control group or randomization; and (6) Addressing innovation in HIV/MH IS grants. The commentary addresses each grey area by drawing from the existing literature (when available), providing expert guidance on addressing each in the context of HIV/MH research, and providing domestic and global HIV and HIV/MH case examples that address these grey areas.

CONCLUSIONS

HIV/MH IS is key to achieving domestic and international goals for ending HIV transmission and mitigating its impact. Guidance offered in this paper can help to overcome challenges to rigorous and high-impact HIV/MH implementation research.

Reducing HIV-related stigma among young people attending school in Northern Uganda: study protocol for a participatory arts-based population health intervention and stepped-wedge cluster-randomized trial

BACKGROUND

HIV-related stigma negatively impacts HIV prevention, treatment, and care, particularly among children and adolescents in sub-Saharan Africa. Interventions that are culturally grounded and relevant for addressing root causes may reduce the stigma experienced by HIV-positive and HIV-affected young people. This study, to be conducted in a post-conflict, rural setting in Omoro District, Uganda, will develop and evaluate a transformative  arts-based HIV-related stigma intervention rooted in local cultural knowledge to reduce stigma and improve HIV prevention and care for young people living with HIV. The intervention will be delivered to young people attending school by community Elders, with the support of teachers, through the transfer of local cultural knowledge and practices with the aim of re-establishing the important cultural and social role of Elders within a community that has suffered the loss of intergenerational transfer of cultural knowledge throughout a 25-year civil war.

METHODS

A formative research phase consisting of interviews with students, teachers, and Elders will inform the intervention and provide data for study objectives. Workshops will be delivered to Elders and teachers in participating schools to build capacity for arts-based, educational workshops to be conducted with students in the classroom. The intervention will be evaluated using a stepped-wedge cluster-randomized trial. Government-funded schools in Omoro District will be randomized into three blocks, each comprised of two primary and two secondary schools (n=1800 students). Schools will be randomly assigned to a crossover sequence from control to intervention condition in 8-week intervals. A process evaluation will be implemented throughout the study to evaluate pathways between intervention development, implementation, and effects.

DISCUSSION

This study will generate comprehensive, in-depth participatory research and evaluation data to inform an effective and sustainable protocol for implementing arts-based HIV stigma interventions for young people in school settings. Findings will have widespread implications in post-conflict settings for HIV prevention, treatment, and care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04946071 . Registered on 30 June 2021.

How to "Start Small and Just Keep Moving Forward": Mixed Methods Results From a Stepped-Wedge Trial to Support Evidence-Based Processes in Local Health Departments

Background

Local health departments (LHDs) in the United States are charged with preventing disease and promoting health in their respective communities. Understanding and addressing what supports LHD's need to foster a climate and culture supportive of evidence-based decision making (EBDM) processes can enhance delivery of effective practices and services.

Methods

We employed a stepped-wedge trial design to test staggered delivery of implementation supports in 12 LHDs (Missouri, USA) to expand capacity for EBDM processes. The intervention was an in-person training in EBDM and continued support by the research team over 24 months (March 2018-February 2020). We used a mixed-methods approach to evaluate: (1) individuals' EBDM skills, (2) organizational supports for EBDM, and (3) administered evidence-based interventions. LHD staff completed a quantitative survey at 4 time points measuring their EBDM skills, organizational supports, and evidence-based interventions. We selected 4 LHDs with high contact and engagement during the intervention period to interview staff (n = 17) about facilitators and barriers to EBDM. We used mixed-effects linear regression to examine quantitative survey outcomes. Interviews were transcribed verbatim and coded through a dual independent process.

Results

Overall, 519 LHD staff were eligible and invited to complete quantitative surveys during control periods and 593 during intervention (365 unique individuals). A total of 434 completed during control and 492 during intervention (83.6 and 83.0% response, respectively). In both trial modes, half the participants had at least a master's degree (49.7-51.7%) and most were female (82.1-83.8%). No significant intervention effects were found in EBDM skills or in implementing evidence-based interventions. Two organizational supports scores decreased in intervention vs. control periods: awareness (-0.14, 95% CI -0.26 to -0.01, p < 0.05) and climate cultivation (-0.14, 95% CI -0.27 to -0.02, p < 0.05) but improved over time among all participants. Interviewees noted staff turnover, limited time, resources and momentum as challenges to continue EBDM work. Setting expectations, programmatic reviews, and pre-existing practices were seen as facilitators.

Conclusions

Challenges (e.g., turnover, resources) may disrupt LHDs' abilities to fully embed organizational processes which support EBDM. This study and related literature provides understanding on how best to support LHDs in building capacity to use and sustain evidence-based practices.

Cluster Randomized Trials: Lessons for Inflammatory Bowel Disease Trials

Randomized clinical trials are the gold standard for the development of new drugs. Clinical trials have become increasingly complex, in particular in the field of inflammatory bowel diseases. For this reason, a new study design called 'cluster randomized trial' has been introduced. Cluster randomized trials randomly assign groups of individuals within a population of interest, such as people in a particular research site, clinic or hospital, and measure the effects of an intervention at the individual level. In contrast to individual randomization, cluster randomization permits the evaluation of a cluster-level intervention, may be logistically simpler and less expensive than a conventional randomized trial, and can help reduce the effect of treatment contamination. An important aspect requiring particular attention in cluster randomized trials is the risk for imbalance of covariates at baseline which decreases the statistical power and precision of the results, and reduces face validity and credibility of the trial results. A variety of restricted randomization methods have been proposed to minimize risk of imbalance. Our aim here is to clarify the advantages and drawbacks of cluster randomized trials in order to properly interpret study results and to identify their role in upcoming inflammatory bowel disease trials.

Effectiveness of a Technology-Enhanced Integrated Care Model for Frail Older People: A Stepped-Wedge Cluster Randomized Trial in Nursing Homes

BACKGROUND AND OBJECTIVES

The objective of this study was to evaluate the impact of an information and communication technologies (ICT)-enhanced, multidisciplinary integrated care model, called Systems for Person-centered Elder Care (SPEC), on frail older adults at nursing homes.

RESEARCH DESIGN AND METHODS

SPEC was implemented at 10 nursing homes in South Korea in random order using a stepped-wedge design. Data were collected on all participating older residents in the homes before the first implementation and until 6 months after the last implementation. The 21-month SPEC intervention guided by the chronic care model (CCM) consists of 5 strategies: comprehensive geriatric assessment, care planning, optional interdisciplinary case conferences, care coordination, and a cloud-based ICT tool along with a free messaging app. The primary outcome was quality of care measured by a composite quality indicator (QI) from the interRAI assessment system. Usual care continued over the control periods. Nursing home staff were not blinded to the intervention.

RESULTS

There were a total of 482 older nursing home residents included in the analysis. Overall quality of care measured by the composite QI was significantly improved (adjusted mean difference: -0.025 [95% CI: -0.037 to -0.014, p < .0001]). The intervention effect was consistent in the subgroup analysis by cognition and activities of daily living. There were no important adverse events or side effects.

DISCUSSION AND IMPLICATIONS

The SPEC, a CCM-guided, ICT-supported, multidisciplinary integrated care management intervention, can improve the quality of care measured by health and functional outcomes for frail older persons residing in nursing homes with limited health care provision.

CLINICAL TRIALS REGISTRATION NUMBER

ISRCTN11972147.

A stepped-wedge randomized trial and qualitative survey of HIV pre-exposure prophylaxis uptake in the Eswatini population

Clinical trials have shown that antiretroviral drugs used as pre-exposure prophylaxis (PrEP) are highly effective for preventing HIV acquisition. PrEP efforts, including in sub-Saharan Africa, have almost exclusively focused on certain priority groups, particularly female sex workers, men having sex with men, pregnant women, serodiscordant couples, and young women. As part of a PrEP demonstration project involving the general population at six primary health care facilities in Eswatini (formerly Swaziland), we conducted a randomized trial of a health care facility-based PrEP promotion package designed to increase PrEP uptake. Over the 18-month study duration, 33.6% (517 of 1538) of adults identified by health care workers as being at risk of acquiring HIV took up PrEP, and 30.0% of these individuals attended all scheduled appointments during the first 6 months after initiation of PrEP. The PrEP promotion package was associated with a 55% (95% confidence interval, 15 to 110%; P = 0.036) relative increase in the number of individuals taking up PrEP, with an absolute increase of 2.2 individuals per month per health care facility. When asked how PrEP uptake could be improved in 217 accompanying in-depth qualitative interviews, interviewees recommended an expansion of PrEP promotion activities beyond health care facilities to communities. Although a health care facility-based promotion package improved PrEP uptake, both uptake and retention remained low. Expanding promotion activities to the community is needed to achieve greater PrEP coverage among adults at risk of HIV infection in Eswatini and similar settings.

Clinician's Guide to Evaluating and Developing eHealth Interventions for Mental Health

Objective

This review aimed to examine key information regarding technology‐delivered interventions for patients with mental health and/or substance use disorders and to provide support for efforts by psychiatrists and other mental health professionals in recommending applications or helping to develop new technology‐delivered interventions.

Methods

The authors reviewed existing information about the appraisal, development, and evaluation of technology‐delivered interventions (eHealth interventions).

Results

High‐level guidance is available for clinicians who want to evaluate eHealth applications for their patients. Clinicians should be familiar with existing models of eHealth intervention development and with traditional as well as unique elements in the evaluation of efficacy for these approaches. However, existing intervention development models have not been empirically validated, and only one includes empirical optimization as an inherent part of its process.

Conclusions

Because of the proliferation of eHealth interventions, mental health professionals should bring to this area the same level of content knowledge, understanding of development and evaluation processes, and rigorous skepticism as they do for pharmacotherapy and therapist‐delivered behavioral interventions.

eHealth interventions are rapidly transforming mental health treatment.

Clinicians should apply the same rigor to evaluating eHealth interventions that they apply to pharmacological treatments or other behavioral therapies.

High‐level guidance and recommendations regarding ideal eHealth intervention development are available to aid in such evaluation, but empirical evidence in support of these guidelines is lacking.

Online Guide for Electronic Health Evaluation Approaches: Systematic Scoping Review and Concept Mapping Study

BACKGROUND

Despite the increase in use and high expectations of digital health solutions, scientific evidence about the effectiveness of electronic health (eHealth) and other aspects such as usability and accuracy is lagging behind. eHealth solutions are complex interventions, which require a wide array of evaluation approaches that are capable of answering the many different questions that arise during the consecutive study phases of eHealth development and implementation. However, evaluators seem to struggle in choosing suitable evaluation approaches in relation to a specific study phase.

OBJECTIVE

The objective of this project was to provide a structured overview of the existing eHealth evaluation approaches, with the aim of assisting eHealth evaluators in selecting a suitable approach for evaluating their eHealth solution at a specific evaluation study phase.

METHODS

Three consecutive steps were followed. Step 1 was a systematic scoping review, summarizing existing eHealth evaluation approaches. Step 2 was a concept mapping study asking eHealth researchers about approaches for evaluating eHealth. In step 3, the results of step 1 and 2 were used to develop an "eHealth evaluation cycle" and subsequently compose the online "eHealth methodology guide."

RESULTS

The scoping review yielded 57 articles describing 50 unique evaluation approaches. The concept mapping study questioned 43 eHealth researchers, resulting in 48 unique approaches. After removing duplicates, 75 unique evaluation approaches remained. Thereafter, an "eHealth evaluation cycle" was developed, consisting of six evaluation study phases: conceptual and planning, design, development and usability, pilot (feasibility), effectiveness (impact), uptake (implementation), and all phases. Finally, the "eHealth methodology guide" was composed by assigning the 75 evaluation approaches to the specific study phases of the "eHealth evaluation cycle."

CONCLUSIONS

Seventy-five unique evaluation approaches were found in the literature and suggested by eHealth researchers, which served as content for the online "eHealth methodology guide." By assisting evaluators in selecting a suitable evaluation approach in relation to a specific study phase of the "eHealth evaluation cycle," the guide aims to enhance the quality, safety, and successful long-term implementation of novel eHealth solutions.

Online Guide for Electronic Health Evaluation Approaches: Systematic Scoping Review and Concept Mapping Study

BACKGROUND

Despite the increase in use and high expectations of digital health solutions, scientific evidence about the effectiveness of electronic health (eHealth) and other aspects such as usability and accuracy is lagging behind. eHealth solutions are complex interventions, which require a wide array of evaluation approaches that are capable of answering the many different questions that arise during the consecutive study phases of eHealth development and implementation. However, evaluators seem to struggle in choosing suitable evaluation approaches in relation to a specific study phase.

OBJECTIVE

The objective of this project was to provide a structured overview of the existing eHealth evaluation approaches, with the aim of assisting eHealth evaluators in selecting a suitable approach for evaluating their eHealth solution at a specific evaluation study phase.

METHODS

Three consecutive steps were followed. Step 1 was a systematic scoping review, summarizing existing eHealth evaluation approaches. Step 2 was a concept mapping study asking eHealth researchers about approaches for evaluating eHealth. In step 3, the results of step 1 and 2 were used to develop an "eHealth evaluation cycle" and subsequently compose the online "eHealth methodology guide."

RESULTS

The scoping review yielded 57 articles describing 50 unique evaluation approaches. The concept mapping study questioned 43 eHealth researchers, resulting in 48 unique approaches. After removing duplicates, 75 unique evaluation approaches remained. Thereafter, an "eHealth evaluation cycle" was developed, consisting of six evaluation study phases: conceptual and planning, design, development and usability, pilot (feasibility), effectiveness (impact), uptake (implementation), and all phases. Finally, the "eHealth methodology guide" was composed by assigning the 75 evaluation approaches to the specific study phases of the "eHealth evaluation cycle."

CONCLUSIONS

Seventy-five unique evaluation approaches were found in the literature and suggested by eHealth researchers, which served as content for the online "eHealth methodology guide." By assisting evaluators in selecting a suitable evaluation approach in relation to a specific study phase of the "eHealth evaluation cycle," the guide aims to enhance the quality, safety, and successful long-term implementation of novel eHealth solutions.

Translating research into practice: Protocol for a community-engaged, stepped wedge randomized trial to reduce disparities in breast cancer treatment through a regional patient navigation collaborative

BACKGROUND

Racial and socioeconomic disparities in breast cancer mortality persist. In Boston, MA, Black, Non-Hispanic women and Medicaid-insured individuals are 2-3 times more likely to have delays in treatment compared to White or privately insured women. While evidence-based care coordination strategies for reducing delays exist, they are not systematically implemented across healthcare settings.

METHODS

Translating Research Into Practice (TRIP) utilizes community engaged research methods to address breast cancer care delivery disparities. Four Massachusetts Clinical and Translational Science Institute (CTSI) hubs collaborated with the Boston Breast Cancer Equity Coalition (The Coalition) to implement an evidence-based care coordination intervention for Boston residents at risk for delays in breast cancer care. The Coalition used a community-driven process to define the problem of care delivery disparities, identify the target population, and develop a rigorous pragmatic approach. We chose a cluster-randomized, stepped-wedge hybrid type I effectiveness-implementation study design. The intervention implements three evidence-based strategies: patient navigation services, a shared patient registry for use across academic medical centers, and a web-based social determinants of health platform to identify and address barriers to care. Primary clinical outcomes include time to first treatment and receipt of guideline-concordant treatment, which are captured through electronic health records abstraction. We will use mixed methods to collect the secondary implementation outcomes of acceptability, adoption/penetration, fidelity, sustainability and cost.

CONCLUSION

TRIP utilizes an innovative community-driven research strategy, focused on interdisciplinary collaborations, to design and implement a translational science study that aims to more efficiently integrate proven health services interventions into clinical practice.

Let's CHAT (community health approaches to) dementia in Aboriginal and Torres Strait Islander communities: protocol for a stepped wedge cluster randomised controlled trial

BACKGROUND

Documented rates of dementia and cognitive impairment not dementia (CIND) in older Aboriginal and Torres Strait Islander Peoples is 3-5 times higher than the rest of the population, and current evidence suggests this condition is under-diagnosed and under-managed in a clinical primary care setting. This study aims to implement and evaluate a culturally responsive best practice model of care to optimise the detection and management of people with cognitive impairment and/or dementia, and to improve the quality of life of carers and older Aboriginal and Torres Islander Peoples with cognitive impairment.

METHODS/DESIGN

The prospective study will use a stepped-wedge cluster randomised controlled trial design working with 12 Aboriginal Community Controlled Health Services (ACCHSs) across four states of Australia. Utilising a co-design approach, health system adaptations will be implemented including (i) development of a best practice guide for cognitive impairment and dementia in Aboriginal and Torres Strait Islander communities (ii) education programs for health professionals supported by local champions and (iii) development of decision support systems for local medical software. In addition, the study will utilise a knowledge translation framework, the Integrated Promoting Action on Research Implementation in Health Services (iPARIHS) Framework, to promote long-term sustainable practice change. Process evaluation will also be undertaken to measure the quality, fidelity and contextual influences on the outcomes of the implementation. The primary outcome measures will be rates of documentation of dementia and CIND, and evidence of improved management of dementia and CIND among older Indigenous peoples attending Aboriginal and Torres Strait Islander primary care services through health system changes. The secondary outcomes will be improvements to the quality of life of older Indigenous peoples with dementia and CIND, as well as that of their carers and families.

DISCUSSION

The Let's CHAT Dementia project will co-design, implement and evaluate a culturally responsive best practice model of care embedded within current Indigenous primary health care. The best practice model of care has the potential to optimise the timely detection (especially in the early stages) and improve the ongoing management of people with dementia or cognitive impairment.

TRIAL REGISTRATION

ACTRN12618001485224. Date of registration: 04 of September 2019.

Invited Commentary: Making Causal Inference More Social and (Social) Epidemiology More Causal

A society's social structure and the interactions of its members determine when key drivers of health occur, for how long they last, and how they operate. Yet, it has been unclear whether causal inference methods can help us find meaningful interventions on these fundamental social drivers of health. Galea and Hernán propose we place hypothetical interventions on a spectrum and estimate their effects by emulating trials, either through individual-level data analysis or systems science modeling (Am J Epidemiol. 2020;189(3):167-170). In this commentary, by way of example in health disparities research, we probe this "closer engagement of social epidemiology with formal causal inference approaches." The formidable, but not insurmountable, tensions call for causal reasoning and effect estimation in social epidemiology that should always be enveloped by a thorough understanding of how systems and the social exposome shape risk factor and health distributions. We argue that one way toward progress is a true partnership of social epidemiology and causal inference with bilateral feedback aimed at integrating social epidemiologic theory, causal identification and modeling methods, systems thinking, and improved study design and data. To produce consequential work, we must make social epidemiology more causal and causal inference more social.

From Epidemiologic Knowledge to Improved Health: A Vision for Translational Epidemiology

Epidemiology should aim to improve population health; however, no consensus exists regarding the activities and skills that should be prioritized to achieve this goal. We performed a scoping review of articles addressing the translation of epidemiologic knowledge into improved population health outcomes. We identified 5 themes in the translational epidemiology literature: foundations of epidemiologic thinking, evidence-based public health or medicine, epidemiologic education, implementation science, and community-engaged research (including literature on community-based participatory research). We then identified 5 priority areas for advancing translational epidemiology: 1) scientific engagement with public health; 2) public health communication; 3) epidemiologic education; 4) epidemiology and implementation; and 5) community involvement. Using these priority areas as a starting point, we developed a conceptual framework of translational epidemiology that emphasizes interconnectedness and feedback among epidemiology, foundational science, and public health stakeholders. We also identified 2-5 representative principles in each priority area that could serve as the basis for advancing a vision of translational epidemiology. We believe an emphasis on translational epidemiology can help the broader field to increase the efficiency of translating epidemiologic knowledge into improved health outcomes and to achieve its goal of improving population health.

Solar-powered oxygen delivery for the treatment of children with hypoxemia: protocol for a cluster-randomized stepped-wedge controlled trial in Uganda

BACKGROUND

Child mortality due to pneumonia is a major global health problem and is associated with hypoxemia. Access to safe and continuous oxygen therapy can reduce mortality; however, low-income countries may lack the necessary resources for oxygen delivery. We have previously demonstrated proof-of-concept that solar-powered oxygen (SPO2) delivery can reliably provide medical oxygen remote settings with minimal access to electricity. This study aims to demonstrate the efficacy of SPO2 in children hospitalized with acute hypoxemic respiratory illness across Uganda.

METHODS

Objectives: Demonstrate efficacy of SPO2 in children hospitalized with acute hypoxemic respiratory illness.

STUDY DESIGN

Multi-center, stepped-wedge cluster-randomized trial.

SETTING

Twenty health facilities across Uganda, a low-income, high-burden country for pediatric pneumonia. Site selection: Facilities with pediatric inpatient services lacking consistent O2 supply on pediatric wards.

PARTICIPANTS

Children aged < 5 years hospitalized with hypoxemia (saturation < 92%) warranting hospital admission based on clinical judgement. Randomization methods: Random installation order generated a priori with allocation concealment. Study procedure: Patients receive standard of care within pediatric wards with or without SPO2 system installed.

OUTCOME MEASURES

Primary: 48-h mortality. Secondary: safety, efficacy, SPO2 system functionality, operating costs, nursing knowledge, skills, and retention for oxygen administration. Statistical analysis of primary outcome: Linear mixed effects logistic regression model with 48-h mortality (dependent variable) as a function of SPO2 treatment (before versus after installation), while adjusting for confounding effects of calendar time (fixed effect) and site (random effect).

SAMPLE SIZE

2400 patients across 20 health facilities, predicted to provide 80% power to detect a 35% reduction in mortality after introduction of SPO2, based on a computer simulation of > 5000 trials.

DISCUSSION

Overall, our study aims to demonstrate mortality benefit of SPO2 relative to standard (unreliable) oxygen delivery. The innovative trial design (stepped-wedge, cluster-randomized) is supported by a computer simulation. Capacity building for nursing care and oxygen therapy is a non-scientific objective of the study. If successful, SPO2 could be scaled across a variety of resource-constrained remote or rural settings in sub-Saharan Africa and beyond.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT03851783. Registered on 22 February 2019.

Decision making in advanced heart failure: bench, bedside, practice, and policy

This is an exciting time for patient-centered care. The window of opportunity appears to be open for the medical culture to accept the importance of the patients' values, goals and preferences in guiding medical decisions. Heart failure guidelines are changing to include language around shared decision making for major procedures and end-of-life care. However, while the cultural norms appear to be moving in this direction, the science regarding how to best deliver patient centered care (basic, clinical, delivery, and policy) is still developing. This article will provide a broad overview of the science of decision making in advanced heart failure using a translational science framework.

Big Data in Public Health: Terminology, Machine Learning, and Privacy

The digital world is generating data at a staggering and still increasing rate. While these "big data" have unlocked novel opportunities to understand public health, they hold still greater potential for research and practice. This review explores several key issues that have arisen around big data. First, we propose a taxonomy of sources of big data to clarify terminology and identify threads common across some subtypes of big data. Next, we consider common public health research and practice uses for big data, including surveillance, hypothesis-generating research, and causal inference, while exploring the role that machine learning may play in each use. We then consider the ethical implications of the big data revolution with particular emphasis on maintaining appropriate care for privacy in a world in which technology is rapidly changing social norms regarding the need for (and even the meaning of) privacy. Finally, we make suggestions regarding structuring teams and training to succeed in working with big data in research and practice.

Review of Recent Methodological Developments in Group-Randomized Trials: Part 2-Analysis

In 2004, Murray et al. reviewed methodological developments in the design and analysis of group-randomized trials (GRTs). We have updated that review with developments in analysis of the past 13 years, with a companion article to focus on developments in design. We discuss developments in the topics of the earlier review (e.g., methods for parallel-arm GRTs, individually randomized group-treatment trials, and missing data) and in new topics, including methods to account for multiple-level clustering and alternative estimation methods (e.g., augmented generalized estimating equations, targeted maximum likelihood, and quadratic inference functions). In addition, we describe developments in analysis of alternative group designs (including stepped-wedge GRTs, network-randomized trials, and pseudocluster randomized trials), which require clustering to be accounted for in their design and analysis.

Evaluating Public Health Interventions: 3. The Two-Stage Design for Confounding Bias Reduction-Having Your Cake and Eating It Two

In public health evaluations, confounding bias in the estimate of the intervention effect will typically threaten the validity of the findings. It is a common misperception that the only way to avoid this bias is to measure detailed, high-quality data on potential confounders for every intervention participant, but this strategy for adjusting for confounding bias is often infeasible. Rather than ignoring confounding altogether, the two-phase design and analysis-in which detailed high-quality confounding data are obtained among a small subsample-can be considered. We describe the two-stage design and analysis approach, and illustrate its use in the evaluation of an intervention conducted in Dar es Salaam, Tanzania, of an enhanced community health worker program to improve antenatal care uptake.

Review of Recent Methodological Developments in Group-Randomized Trials: Part 1-Design

In 2004, Murray et al. reviewed methodological developments in the design and analysis of group-randomized trials (GRTs). We have highlighted the developments of the past 13 years in design with a companion article to focus on developments in analysis. As a pair, these articles update the 2004 review. We have discussed developments in the topics of the earlier review (e.g., clustering, matching, and individually randomized group-treatment trials) and in new topics, including constrained randomization and a range of randomized designs that are alternatives to the standard parallel-arm GRT. These include the stepped-wedge GRT, the pseudocluster randomized trial, and the network-randomized GRT, which, like the parallel-arm GRT, require clustering to be accounted for in both their design and analysis.

Evaluation of a technology-enhanced integrated care model for frail older persons: protocol of the SPEC study, a stepped-wedge cluster randomized trial in nursing homes

Background

Limited evidence exists on the effectiveness of the chronic care model for people with multimorbidity. This study aims to evaluate the effectiveness of an information and communication technology- (ICT-)enhanced integrated care model, called Systems for Person-centered Elder Care (SPEC), for frail older adults at nursing homes.

Methods/Design

SPEC is a prospective stepped-wedge cluster randomized trial conducted at 10 nursing homes in South Korea. Residents aged 65 or older meeting the inclusion/exclusion criteria in all the homes are eligible to participate. The multifaceted SPEC intervention, a geriatric care model guided by the chronic care model, consists of five components: comprehensive geriatric assessment for need/risk profiling, individual need-based care planning, interdisciplinary case conferences, person-centered care coordination, and a cloud-based information and communications technology (ICT) tool supporting the intervention process. The primary outcome is quality of care for older residents using a composite measure of quality indicators from the interRAI LTCF assessment system. Outcome assessors and data analysts will be blinded to group assignment. Secondary outcomes include quality of life, healthcare utilization, and cost. Process evaluation will be also conducted.

Discussion

This study is expected to provide important new evidence on the effectiveness, cost-effectiveness, and implementation process of an ICT-supported chronic care model for older persons with multiple chronic illnesses. The SPEC intervention is also unique as the first registered trial implementing an integrated care model using technology to promote person-centered care for frail older nursing home residents in South Korea, where formal LTC was recently introduced.

Trial registration

10.1186/ISRCTN11972147

Cause and context: place-based approaches to investigate how environments affect mental health

OBJECTIVES

Our surroundings affect our mood, our recovery from stress, our behavior, and, ultimately, our mental health. Understanding how our surroundings influence mental health is central to creating healthy cities. However, the traditional observational methods now dominant in the psychiatric epidemiology literature are not sufficient to advance such an understanding. In this essay we consider potential alternative strategies, such as randomizing people to places, randomizing places to change, or harnessing natural experiments that mimic randomized experiments.

METHODS

We discuss the strengths and weaknesses of these methodological approaches with respect to (1) defining the most relevant scale and characteristics of context, (2) disentangling the effects of context from the effects of individuals' preferences and prior health, and (3) generalizing causal effects beyond the study setting.

RESULTS

Promising alternative strategies include creating many small-scale randomized place-based trials, using the deployment of place-based changes over time as natural experiments, and using fluctuations in the changes in our surroundings in combination with emerging data collection technologies to better understand how surroundings influence mood, behavior, and mental health.

CONCLUSIONS

Improving existing research strategies will require interdisciplinary partnerships between those specialized in mental health, those advancing new methods for place effects on health, and those who seek to optimize the design of local environments.