Introducing SoNHR-Reporting guidelines for Social Networks In Health Research.

OBJECTIVE: The overall goal of this work is to produce a set of recommendations (SoNHR-Social Networks in Health Research) that will improve the reporting and dissemination of social network concepts, methods, data, and analytic results within health sciences research. METHODS: This study used a modified-Delphi approach for recommendation development consistent with best practices suggested by the EQUATOR health sciences reporting guidelines network. An initial set of 28 reporting recommendations was developed by the author team. A group of 67 (of 147 surveyed) experienced network and health scientists participated in an online feedback survey. They rated the clarity and importance of the individual recommendations, and provided qualitative feedback on the coverage, usability, and dissemination opportunities of the full set of recommendations. After examining the feedback, a final set of 18 recommendations was produced. RESULTS: The final SoNHR reporting guidelines are comprised of 18 recommendations organized within five domains: conceptualization (how study research questions are linked to network conceptions or theories), operationalization (how network science portions of the study are defined and operationalized), data collection & management (how network data are collected and managed), analyses & results (how network results are analyzed, visualized, and reported), and ethics & equity (how network-specific human subjects, equity, and social justice concerns are reported). We also present a set of exemplar published network studies which can be helpful for seeing how to apply the SoNHR recommendations in research papers. Finally, we discuss how different audiences can use these reporting guidelines. CONCLUSIONS: These are the first set of formal reporting recommendations of network methods in the health sciences. Consistent with EQUATOR goals, these network reporting recommendations may in time improve the quality, consistency, and replicability of network science across a wide variety of important health research areas.

Global rural health disparities in Alzheimer's disease and related dementias: State of the science.

INTRODUCTION: Individuals living in rural communities are at heightened risk for Alzheimer's disease and related dementias (ADRD), which parallels other persistent place-based health disparities. Identifying multiple potentially modifiable risk factors specific to rural areas that contribute to ADRD is an essential first step in understanding the complex interplay between various barriers and facilitators. METHODS: An interdisciplinary, international group of ADRD researchers convened to address the overarching question of: "What can be done to begin minimizing the rural health disparities that contribute uniquely to ADRD?" In this state of the science appraisal, we explore what is known about the biological, behavioral, sociocultural, and environmental influences on ADRD disparities in rural settings. RESULTS: A range of individual, interpersonal, and community factors were identified, including strengths of rural residents in facilitating healthy aging lifestyle interventions. DISCUSSION: A location dynamics model and ADRD-focused future directions are offered for guiding rural practitioners, researchers, and policymakers in mitigating rural disparities. HIGHLIGHTS: Rural residents face heightened Alzheimer's disease and related dementia (ADRD) risks and burdens due to health disparities. Defining the unique rural barriers and facilitators to cognitive health yields insight. The strengths and resilience of rural residents can mitigate ADRD-related challenges. A novel "location dynamics" model guides assessment of rural-specific ADRD issues.

Situating the Pandemic in the Life-Course: Older Adults' Perspectives on the Challenges and Positives of the COVID-19 Pandemic.

Older adults experienced the highest rates of infections and deaths and significant social isolation during the COVID-19 pandemic. While these negative impacts are important to address, the positive outcomes among older adults during the pandemic are equally important. A survey was distributed to adults aged 65 or older living in St. Louis, Missouri from August 2020 through March 2021 to characterize the challenges and positives they found during the pandemic. A total of 103 older adults participated. Compared to previous times in their lives, a majority of participants felt the pandemic had been more disruptive (62%) and more confusing (78%) and a majority were more worried (58%) and more afraid of dying (53%) during the pandemic. The most common positives were increased emotional well-being (23% of responses) and stronger personal connections (20% of responses). This ability to identify positive outcomes of the pandemic demonstrates the resilience of older adults and counters the ageist narrative that dominated the dialogue early in the pandemic, which depicted older adults as weak, vulnerable, and dispensable. As the pandemic evolves, nurturing and leveraging these positives will be key to combatting the cycle of fear and restrictions that the pandemic could bring.

The adoption of social determinants of health documentation in clinical settings.

OBJECTIVE: To understand the frequency of social determinants of health (SDOH) diagnosis codes (Z-codes) within the electronic health record (EHR) for patients with prediabetes and diabetes and examine factors influencing the adoption of SDOH documentation in clinical care. DATA SOURCES: EHR data and qualitative interviews with health care providers and stakeholders. STUDY DESIGN: An explanatory sequential mixed methods design first examined the use of Z-codes within the EHR and qualitatively examined barriers to documenting SDOH. Data were integrated and interpreted using a joint display. This research was informed by the Framework for Dissemination and Utilization of Research for Health Care Policy and Practice. DATA COLLECTION/EXTRACTION METHODS: We queried EHR data for patients with a hemoglobin A1c > 5.7 between October 1, 2015 and September 1, 2020 (n = 118,215) to examine the use of Z-codes and demographics and outcomes for patients with and without social needs. Semi-structured interviews were conducted with 23 participants (n = 15 health care providers; n = 7 billing and compliance stakeholders). The interview questions sought to understand how factors at the innovation-, individual-, organizational-, and environmental-level influence SDOH documentation. We used thematic analysis to analyze interview data. PRINCIPAL FINDINGS: Patients with social needs were disproportionately older, female, Black, uninsured, living in low-income and high unemployment neighborhoods, and had a higher number of hospitalizations, obesity, prediabetes, and type 2 diabetes than those without a Z-code. Z-codes were not frequently used in the EHR (<1% of patients), and there was an overall lack of congruence between quantitative and qualitative results related to the prevalence of social needs. Providers faced barriers at multiple levels (e.g., individual-level: discomfort discussing social needs; organizational-level: limited time, competing priorities) for documenting SDOH and identified strategies to improve documentation. CONCLUSIONS: Providers recognized the impact of SDOH on patient health and had positive perceptions of screening for and documenting social needs. Implementation strategies are needed to improve systematic documentation.

Emergency Department Communication in Persons Living With Dementia and Care Partners: A Scoping Review.

OBJECTIVES: To synthesize published research exploring emergency department (ED) communication strategies and decision-making with persons living with dementia (PLWD) and their care partners as the basis for a multistakeholder consensus conference to prioritize future research. DESIGN: Systematic scoping review. SETTINGS AND PARTICIPANTS: PLWD and their care partners in the ED setting. METHODS: Informed by 2 Patient-Intervention-Comparison-Outcome (PICO) questions, we conducted systematic electronic searches of medical research databases for relevant publications following standardized methodological guidelines. The results were presented to interdisciplinary stakeholders, including dementia researchers, clinicians, PLWD, care partners, and advocacy organizations. The PICO questions included: How does communication differ for PLWD compared with persons without dementia? Are there specific communication strategies that improve the outcomes of ED care? Future research areas were prioritized. RESULTS: From 5451 studies identified for PICO-1, 21 were abstracted. From 2687 studies identified for PICO-2, 3 were abstracted. None of the included studies directly evaluated communication differences between PLWD and other populations, nor the effectiveness of specific communication strategies. General themes emerging from the scoping review included perceptions by PLWD/care partners of rushed ED communication, often exacerbated by inconsistent messages between providers. Care partners consistently reported limited engagement in medical decision-making. In order, the research priorities identified included: (1) Barriers/facilitators of effective communication; (2) valid outcome measures of effective communication; (3) best practices for care partner engagement; (4) defining how individual-, provider-, and system-level factors influence communication; and (5) understanding how each member of ED team can ensure high-quality communication. CONCLUSIONS AND IMPLICATIONS: Research exploring ED communication with PLWD is sparse and does not directly evaluate specific communication strategies. Defining barriers and facilitators of effective communication was the highest-ranked research priority, followed by validating outcome measures associated with improved information exchange.

Around the EQUATOR with clinician-scientists transdisciplinary aging research (Clin-STAR) principles: Implementation science challenges and opportunities.

The Institute of Medicine and the National Institute on Aging increasingly understand that knowledge alone is necessary but insufficient to improve healthcare outcomes. Adapting the behaviors of clinicians, patients, and stakeholders to new standards of evidence-based clinical practice is often significantly delayed. In response, over the past twenty years, Implementation Science has developed as the study of methods and strategies that facilitate the uptake of evidence-based practice into regular use by practitioners and policymakers. One important advance in Implementation Science research was the development of Standards for Reporting Implementation Studies (StaRI), which provided a 27-item checklist for researchers to consistently report essential elements of the implementation and intervention strategies. Using StaRI as a framework, this review discusses specific Implementation Science challenges for research with older adults, provides solutions for those obstacles, and opportunities to improve the value of this evolving approach to reduce the knowledge translation losses that exist between published research and clinical practice.

The Complex Intersection of Race and Rurality: The Detrimental Effects of Race-Neutral Rural Health Policies.

In this commentary, we discuss our experiences as women of different races growing up in the same rural area and how these experiences relate to health and health policy. Despite nearly five million Black people living in nonmetro areas, rural Black Americans face erasure in the rural narrative and the policies enacted to support them. This is detrimental to the overall uplifting of rural communities and to the elimination of the compounded disparities of being rural and Black. We aim to bring to life rural America for Black and White residents and the impact of the policies that shape it.

Sustainability in pediatric hospitals: An exploration at the intersection of quality improvement and implementation science.

Background: Although new evidence-based practices are frequently implemented in clinical settings, many are not sustained, limiting the intended impact. Within implementation science, there is a gap in understanding sustainability. Pediatric healthcare settings have a robust history of quality improvement (QI), which includes a focus on continuation of change efforts. QI capability and sustainability capacity, therefore, serve as a useful concept for connecting the broader fields of QI and implementation science to provide insights on improving care. This study addresses these gaps in understanding of sustainability in pediatric settings and its relationship to QI. Methods: This is a cross-sectional observational study conducted within pediatric academic medical centers in the United States. Clinicians surveyed worked with one of three evidence-based clinical programs: perioperative antimicrobial stewardship prescribing, early mobility in the intensive care unit, and massive blood transfusion administration. Participants completed two assessments: (1) the Clinical Sustainability Assessment Tool (CSAT) and (2) a 19-question assessment that included demographics and validation questions, specifically a subset of questions from the Change Process Capability Questionnaire, a QI scale. Initial descriptive and bivariate analyses were conducted prior to building mixed-effects models relating perceived QI to clinical sustainability capacity. Results: A total of 181 individuals from three different programs and 30 sites were included in the final analyses. QI capability scores were assessed as a single construct (5-point Likert scale), with an average response of 4.16 (higher scores indicate greater QI capability). The overall CSAT score (7-point Likert scale) was the highest for massive transfusion programs (5.51, SD = 0.91), followed by early mobility (5.25, SD = 0.92) and perioperative antibiotic prescribing (4.91, SD = 1.07). Mixed-effects modeling illustrated that after controlling for person and setting level variables, higher perceptions of QI capabilities were significantly related to overall clinical sustainability. Conclusion: Organizations and programs with higher QI capabilities had a higher sustainability capacity, even when controlling for differences at the individual and intervention levels. Organizational factors that enable evidence-based interventions should be further studied, especially as they relate to sustainability. Issues to be considered by practitioners when planning for sustainability include bedside provider perceptions, intervention achievability, frequency of delivery, and organizational influences.

Utility of Facebook's Social Connectedness Index in Modeling COVID-19 Spread: Exponential Random Graph Modeling Study.

BACKGROUND: The COVID-19 (the disease caused by the SARS-CoV-2 virus) pandemic has underscored the need for additional data, tools, and methods that can be used to combat emerging and existing public health concerns. Since March 2020, there has been substantial interest in using social media data to both understand and intervene in the pandemic. Researchers from many disciplines have recently found a relationship between COVID-19 and a new data set from Facebook called the Social Connectedness Index (SCI). OBJECTIVE: Building off this work, we seek to use the SCI to examine how social similarity of Missouri counties could explain similarities of COVID-19 cases over time. Additionally, we aim to add to the body of literature on the utility of the SCI by using a novel modeling technique. METHODS: In September 2020, we conducted this cross-sectional study using publicly available data to test the association between the SCI and COVID-19 spread in Missouri using exponential random graph models, which model relational data, and the outcome variable must be binary, representing the presence or absence of a relationship. In our model, this was the presence or absence of a highly correlated COVID-19 case count trajectory between two given counties in Missouri. Covariates included each county's total population, percent rurality, and distance between each county pair. RESULTS: We found that all covariates were significantly associated with two counties having highly correlated COVID-19 case count trajectories. As the log of a county's total population increased, the odds of two counties having highly correlated COVID-19 case count trajectories increased by 66% (odds ratio [OR] 1.66, 95% CI 1.43-1.92). As the percent of a county classified as rural increased, the odds of two counties having highly correlated COVID-19 case count trajectories increased by 1% (OR 1.01, 95% CI 1.00-1.01). As the distance (in miles) between two counties increased, the odds of two counties having highly correlated COVID-19 case count trajectories decreased by 43% (OR 0.57, 95% CI 0.43-0.77). Lastly, as the log of the SCI between two Missouri counties increased, the odds of those two counties having highly correlated COVID-19 case count trajectories significantly increased by 17% (OR 1.17, 95% CI 1.09-1.26). CONCLUSIONS: These results could suggest that two counties with a greater likelihood of sharing Facebook friendships means residents of those counties have a higher likelihood of sharing similar belief systems, in particular as they relate to COVID-19 and public health practices. Another possibility is that the SCI is picking up travel or movement data among county residents. This suggests the SCI is capturing a unique phenomenon relevant to COVID-19 and that it may be worth adding to other COVID-19 models. Additional research is needed to better understand what the SCI is capturing practically and what it means for public health policies and prevention practices.

Strategies for Disseminating and Implementing COVID-19 Vaccines in Rural Areas.

The United States has well-documented rural-urban health disparities, and it is imperative that these are not exacerbated by an inefficient rollout of coronavirus disease 2019 (COVID-19) vaccines to rural areas. In addition to the preexisting barriers to delivering and receiving health care in rural areas, such as high patient:provider ratios and long geographic distances between patients and providers, rural residents are significantly more likely to say they have no intention of receiving a COVID-19 vaccine, compared with urban residents. To overcome these barriers and ensure that rural residents receive the vaccine, officials and communities should look to previous research on how to communicate vaccine information and implement successful vaccination programs in rural areas for guidance and concrete strategies to use in their local efforts. Graphical Abstract.

Protocol to evaluate an enterprise-wide initiative to increase access to lung cancer screening in the Veterans Health Administration.

INTRODUCTION: The Veterans Affairs Partnership to increase Access to Lung Screening (VA-PALS) is an enterprise-wide initiative to implement lung cancer screening programs at VA medical centers (VAMCs). VA-PALS will be using implementation strategies that include program navigators to coordinate screening activities, trainings for navigators and radiologists, an open-source software management system, tools to standardize low-dose computed tomography image quality, and access to a support network. VAMCs can utilize strategies according to their local needs. In this protocol, we describe the planned program evaluation for the initial 10 VAMCs participating in VA-PALS. MATERIALS AND METHODS: The implementation of programs will be evaluated using the Consolidated Framework for Implementation Research to ensure broad contextual guidance. Program evaluation measures have been developed using the Reach, Effectiveness, Adoption, Implementation and Maintenance framework. Adaptations of screening processes will be assessed using the Framework for Reporting Adaptations and Modifications to Evidence Based Interventions. Measures collected will reflect the inner settings, estimate and describe the population reached, adoption by providers, implementation of the programs, report clinical outcomes and maintenance of programs. Analyses will include descriptive statistics and regression to evaluate predictors and assess implementation over time. DISCUSSION: This theory-based protocol will evaluate the implementation of lung cancer screening programs across the Veterans Health Administration using scientific frameworks. The findings will inform plans to expand the VA-PALS initiative beyond the original sites and can guide implementation of lung cancer screening programs more broadly.

Defining and conceptualizing outcomes for de-implementation: key distinctions from implementation outcomes.

BACKGROUND: Increasingly, scholars argue that de-implementation is a distinct concept from implementation; factors contributing to stopping a current practice might be distinct from those that encourage adoption of a new one. One such distinction is related to de-implementation outcomes. We offer preliminary analysis and guidance on de-implementation outcomes, including how they may differ from or overlap with implementation outcomes, how they may be conceptualized and measured, and how they could be measured in different settings such as clinical care vs. community programs. CONCEPTUALIZATION OF OUTCOMES: We conceptualize each of the outcomes from Proctor and colleagues' taxonomy of implementation outcomes for de-implementation research. First, we suggest key considerations for researchers assessing de-implementation outcomes, such as considering how the cultural or historical significance to the practice may impact de-implementation success and, as others have stated, the importance of the patient in driving healthcare overuse. Second, we conceptualize de-implementation outcomes, paying attention to a number of factors such as the importance of measuring outcomes not only of the targeted practice but of the de-implementation process as well. Also, the degree to which a practice should be de-implemented must be distinguished, as well as if there are thresholds that certain outcomes must reach before action is taken. We include a number of examples across all outcomes, both from clinical and community settings, to demonstrate the importance of these considerations. We also discuss how the concepts of health disparities, cultural or community relevance, and altruism impact the assessment of de-implementation outcomes. CONCLUSION: We conceptualized existing implementation outcomes within the context of de-implementation, noted where there are similarities and differences to implementation research, and recommended a clear distinction between the target for de-implementation and the strategies used to promote de-implementation. This critical analysis can serve as a building block for others working to understand de-implementation processes and de-implement practices in real-world settings.

Discharge Planning: It's About the Destination and the Journey.

Hospitalization is a distressing time for patients and their care partners. While in the hospital, they are often thinking about how they will manage their healthcare once they leave the hospital. The hospital providers are tasked with conducting discharge planning with the patient and their care partners to ensure a smooth transition from the hospital. However, as the narratives in this symposium illustrate, the patients and their care partners often feel too little attention paid to ensuring their unique needs are met, including their preferences for where they go when they leave the hospital. Patients and their care partners desire increased and improved communication with healthcare providers, including those in the hospital as well as insurers, as they attempt to take control of their discharge through self-advocacy. While these are three common themes across the stories, the authors share a variety of views, circumstances, and opinions that speak to the variability in patients' discharge experiences and preferences.

Differences in Transitional Care Provided to Patients With and Without Dementia.

Older adults with dementia experience more care transitions than those without dementia yet are routinely excluded from transitional care studies. The purpose of the current study was to understand the transitional care delivered to older adults with dementia compared to those without dementia. The medical charts of 210 patients (126 with dementia, 84 without dementia) 70 years and older hospitalized at a single hospital were reviewed for evidence of transitional care, including discharge planning, patient education, and follow-up appointments. Patients with dementia were significantly less likely to receive education related to their follow-up needs, whom to contact after discharge, medication regimens after discharge, and symptoms after discharge than patients without dementia. Caregivers to patients with dementia have previously reported a desire for more education and information from hospital providers so they can advocate for patients in aftercare; therefore, nurses and social workers should consider providing education regardless of a patient's dementia diagnosis. [Journal of Gerontological Nursing, 45(8), 15-22.].

Rural Health Networks: How Network Analysis Can Inform Patient Care and Organizational Collaboration in a Rural Breast Cancer Screening Network.

PURPOSE: Rural health networks have the potential to improve health care quality and access. Despite this, the use of network analysis to study rural health networks is limited. The purpose of this study was to use network analysis to understand how a network of rural breast cancer care providers deliver services and to demonstrate the value of this methodology in this research area. METHODS: Leaders at 47 Federally Qualified Health Centers and Rural Health Clinics across 10 adjacent rural counties were asked where they refer patients for mammograms or breast biopsies. These clinics and the 22 referral providers that respondents named comprised the network. The network was analyzed graphically and statistically with exponential random graph modeling. FINDINGS: Most (96%, n = 45) of the clinics and referral sites (95%, n = 21) are connected to each other. Two clinics of the same type were 62% less likely to refer patients to the same providers as 2 clinics of different types (OR = 0.38, 95% CI = 0.29-0.50). Clinics in the same county have approximately 8 times higher odds of referring patients to the same providers compared to clinics in different counties (OR = 7.80, CI = 4.57-13.31). CONCLUSIONS: This study found that geographic location of resources is an important factor in rural health care providers' referral decisions and demonstrated the usefulness of network analysis for understanding rural health networks. These results can be used to guide delivery of patient care and strengthen the network by building resources that take location into account.

Networks of hospital discharge planning teams and readmissions.

Improving the hospital discharge process to prevent readmission requires a focus on the coordination and communication between interprofessional team members in and outside of the hospital as well as with patients and their caregivers. Yet little is known about how these actors currently communicate and coordinate during the discharge process. Network analysis allows for a direct look at this communication and coordination. This network analysis study utilized retrospective chart review to identify the individuals involved in the discharge planning and their communication with each other for 205 patients. Using this abstracted data, a network was created for each patient wherein a node was any individual involved in the patient's discharge planning process and a tie was any communication documented in the chart related to discharge planning between individuals. Graphical and structural network analyses were used to compare the networks of readmitted patients and non-readmitted patients. Networks of patients not readmitted were more hierarchical, unidirectional, streamlined compared to those readmitted. These findings demonstrate the feasibility and usefulness of conceptualizing discharge planning as a network. Future efforts to understand discharge planning and create interventions to improve the process may benefit by considering network patterns of communication.