The relationship between Social Determinants of Health (SDoH) and death from cardiovascular disease or opioid use in counties across the United States (2009-2018)

BACKGROUND

Death from cardiovascular disease (CVD) has been a longstanding public health challenge in the US, whereas death from opioid use is a recent, growing public health crisis. While population-level approaches to reducing CVD risk are known to be effective in preventing CVD deaths, more targeted approaches in high-risk communities are known to work better for reducing risk of opioid overdose. For communities to plan effectively in addressing both public health challenges, they need information on significant community-level (vs individual-level) predictors of death from CVD or opioid use. This study addresses this need by examining the relationship between 1) county-level social determinants of health (SDoH) and CVD deaths and 2) county-level SDoH and opioid-use deaths in the US, over a ten-year period (2009-2018).

METHODS

A single national county-level ten-year 'SDoH Database' is analyzed, to address study objectives. Fixed-effects panel-data regression analysis, including county, year, and state-by-year fixed effects, is used to examine the relationship between 1) SDoH and CVD death-rate and 2) SDoH and opioid-use death-rate. Eighteen independent (SDoH) variables are included, spanning three contexts: socio-economic (e.g., race/ethnicity, income); healthcare (e.g., system-characteristics); and physical-infrastructure (e.g., housing).

RESULTS

After adjusting for county, year, and state-by-year fixed effects, the significant county-level positive SDoH predictors for CVD death rate were, median age and percentage of civilian population in armed forces. The only significant negative predictor was percentage of population reporting White race. On the other hand, the four significant negative predictors of opioid use death rate were median age, median household income, percent of population reporting Hispanic ethnicity and percentage of civilian population consisting of veterans. Notably, a dollar increase in median household income, was estimated to decrease sample mean opioid death rate by 0.0015% based on coefficient value, and by 20.05% based on effect size.

CONCLUSIONS

The study provides several practice and policy implications for addressing SDoH barriers at the county level, including population-based approaches to reduce CVD mortality risk among people in military service, and policy-based interventions to increase household income (e.g., by raising county minimum wage), to reduce mortality risk from opioid overdoses.

A Health System's Pilot Experience with Using Mobile Social Knowledge Networking (SKN) Technology to Enable Meaningful Use of EHR Medication Reconciliation Technology

In fall 2016, a two-year grant was secured from AHRQ, to pilot a mobile Social Knowledge Networking (SKN) system on Electronic Health Record (EHR) Medication Reconciliation (MedRec), to enable Augusta University (AU) Health System, to progress from "limited-use" of EHR-MedRec technology, to "meaningful-use." The rationale is that an SKN system would enable knowledge exchange on practice issues related to EHR-MedRec, across diverse provider subgroups and settings-of-care, which, in turn, is expected to increase provider engagement, promote inter-professional learning of best-practices, and provide a foundation for practice change (e.g., Meaningful Use of EHR-MedRec technology). Over a one-year period, 50 SKN Users (physicians, nurses, and pharmacists from outpatient-and-inpatient-medicine services), participated in discussing issues-related-to-EHR-MedRec, moderated by 5 SKN Moderators (senior administrators). This paper describes the health system's experiences with this pilot initiative; and discusses lessons learned, in regard to the potential of a mobile SKN system to enable Meaningful Use of EHR-MedRec technology.

A Health System's Pilot Experience with Using Social Knowledge Networking (SKN) Technology to Enable Meaningful Use of EHR Medication Reconciliation Technology

Similar to issues faced in health systems across USA, AU Health, based in Augusta, Georgia, faced a scenario of low physician engagement in, and limited-use of its Electronic Health Record (EHR) Medication Reconciliation (MedRec) technology, which translated to high rates of medication discrepancies and low accuracy of the patient's active medication list, during transitions of care. In fall 2016, a two-year grant was secured from the U.S. Agency for Healthcare Research and Quality (AHRQ), to pilot a Social Knowledge Networking (SKN) system pertaining to "EHR-MedRec," to enable AU Health to progress from "limited use" of EHR MedRec technology, to "meaningful use." The rationale behind an SKN system, is that it could provide a platform for inter-professional knowledge exchange on practice issues related to EHR MedRec, across diverse provider subgroups and care settings, to highlight adverse consequences of gaps in practice for patient safety, and emphasize the value of adhering to best-practices in EHR MedRec. This, in turn, is expected to increase provider engagement in addressing issues related to EHR MedRec, and promote inter-professional learning of best-practices, to create a foundation for practice change or improvement (e.g., Meaningful Use of EHR MedRec technology). This Case Report describes AU Health's experiences with this novel initiative to pilot an SKN system for enabling Meaningful Use of EHR MedRec technology. It also discusses lessons learned in regard to the potential of an SKN system to enable inter-professional learning and practice improvement in the context of EHR MedRec, which, in turn, helps identify strategies and practice implications for healthcare managers.

Measurement of Key Constructs in a Holistic Framework for Assessing Self-Management Effectiveness of Pediatric Asthma

The 2007 U.S. National Institutes of Health EPR-3 guidelines emphasize the importance creating a provider-patient partnership to enable patients/families to monitor and take control of their asthma, so that treatment can be adjusted as needed. However, major shortfalls continue to be reported in provider adherence to EPR-3 guidelines. For providers to be more engaged in asthma management, they need a comprehensive set of resources for measuring self-management effectiveness of asthma, which currently do not exist. In a previously published article in the Journal of Asthma and Allergy, the authors conducted a literature review, to develop a holistic framework for understanding self-management effectiveness of pediatric asthma. The essence of this framework, is that broad socioecological factors can influence self-agency (patient/family activation), to impact self-management effectiveness, in children with asthma. A component of socio-ecological factors of special relevance to providers, would be the quality of provider-patient/family communication on asthma management. Therefore, the framework encompasses three key constructs: (1) Provider-patient/family communication; (2) Patient/family activation; and (3) Self-management effectiveness. This paper conducts an integrative review of the literature, to identify existing, validated measures of the three key constructs, with a view to operationalizing the framework, and discussing its implications for asthma research and practice.

Network analysis of the structure of inter-professional knowledge exchange related to Electronic Health Record Medication Reconciliation within a Social Knowledge Networking system

Background

In fall 2016, a 2-year grant was secured to pilot a Social Knowledge Networking (SKN) system pertaining to Electronic Health Record (EHR) Medication Reconciliation (MedRec), to enable Augusta University Health System to progress from “limited use” of EHR MedRec technology, to “meaningful use” (MU). A total of 50 “SKN users” (practitioners), participated in discussing practice issues related to EHR MedRec, over a 1-year period. These discussions were moderated by five “SKN moderators” (senior administrators). The pilot study, completed in fall 2018, found that inter-professional knowledge exchanges on the SKN, enabled several collective learning (“aha”) moments to emerge. These learning dynamics in turn, were associated with distinct improvement trends in two measures of MU of EHR MedRec technology, identified for the study. A key takeaway was that an SKN could be a valuable tool in enabling MU of EHR MedRec technology.

Purpose

The study’s key findings related to the content and dynamics of inter-professional knowledge exchange on the SKN system, and their association with trends in measures of MU of EHR MedRec technology, have been described in a separate publication. This paper seeks to describe the structure of inter-professional knowledge exchange (or the pattern of connections) related to EHR MedRec, over the 1-year SKN period.

Methods

Social network analysis (SNA) techniques were used to describe the structure of inter-professional knowledge exchange on the SKN system.

Results

Results revealed that three of the five SKN moderators played a strong “collective brokerage” role in facilitating inter-professional knowledge exchange related to EHR MedRec, to enable learning and practice change. Together, they played complementary roles in reinforcing best-practice assertions, providing IT system education, and synthesizing collective learning moments, to enable “champions for change” to emerge from among SKN users.

Conclusion

Results provide insight into the structure of effective knowledge-sharing networks for enabling inter-professional learning and practice change in health care organizations.

A qualitative study of interprofessional learning related to electronic health record (EHR) medication reconciliation within a social knowledge networking (SKN) system

Background: Similar to issues faced in health systems across the USA, AU Health faced a scenario of low physician engagement in and limited use of its Electronic Health Record (EHR) Medication Reconciliation (MedRec) technology, which translated to high rates of medication discrepancies and low accuracy of the patient’s active medication list, during transitions of care. In fall 2016, a 2-year research grant was secured to pilot a Social Knowledge Networking (SKN) system on “EHR MedRec” to enable AU Health to progress from “limited use” of EHR MedRec technology to “meaningful use.”

Purpose: The aims of this study were to 1) examine dynamics of interprofessional knowledge exchange and learning related to EHR MedRec on the SKN system and 2) explore associations between “SKN Use” and “Meaningful Use (MU) of EHR MedRec,” with the latter being assessed in terms of adherence to best practices in EHR MedRec.

Methods: Over a 1-year period, 50 SKN Users (practitioners from inpatient and outpatient medicine settings), participated in discussing issues related to EHR MedRec, moderated by five SKN Moderators (senior administrators). Qualitative analysis was used to understand dynamics of interprofessional knowledge exchange and descriptive analysis was used to examine trends in two measures of MU of EHR MedRec, identified for the study.

Results: Interprofessional knowledge exchanges related to EHR MedRec on the SKN system, progressed from “problem statements” to “problem-solving statements” to “IT system education” to “best-practice assertions” to “culture change assertions” to “collective learning (aha) moments” to lay a foundation for practice change. These interprofessional learning dynamics were associated with distinct improvement trends in both measures of MU of EHR MedRec technology.

Conclusion: Results suggest that an SKN system could be a valuable tool in enabling MU of EHR MedRec technology. The study helps identify strategies for the creation of “learning health systems,” to enable successful change implementation in healthcare organizations.

Creating a foundation for implementing an electronic health records (EHR)-integrated Social Knowledge Networking (SKN) system on medication reconciliation

Background

In fall 2016, Augusta University received a two-year grant from AHRQ, to implement a Social Knowledge Networking (SKN) system for enabling its health system, AU-Health, to progress from "limited use" of EHR Medication Reconciliation (MedRec) Technology, to "meaningful use." Phase 1 sought to identify a comprehensive set of issues related to EHR MedRec encountered by practitioners at AU-Health. These efforts helped develop a Reporting Tool, which, along with a Discussion Tool, was incorporated into the AU-Health EHR, at the end of Phase 1. Phase 2 (currently underway), comprises a 52-week pilot of the EHR-integrated SKN system in outpatient and inpatient medicine units. The purpose of this paper is to describe the methods and results of Phase 1.

Methods

Phase 1 utilized an exploratory mixed-method approach, involving two rounds of data collection. This included 15 individual interviews followed by a survey of 200 practitioners, i.e., physicians, nurses, and pharmacists, based in the outpatient and inpatient medicine service at AU Health.

Results

Thematic analysis of interviews identified 55 issue-items related to EHR MedRec under 9 issue-categories. The survey sought practitioners' importance-rating of all issue-items identified from interviews. A total of 127 (63%) survey responses were received. Factor analysis served to validate the following 6 of the 9 issue-categories, all of which, were rated "Important" or higher (on average), by over 70% of all respondents: 1) Care-Coordination (CCI); 2) Patient-Education (PEI); 3) Ownership-and-Accountability (OAI); 4) Processes-of-Care (PCI); 5) IT-Related (ITRI); and 6) Workforce-Training (WTI). Significance-testing of importance-rating by professional affiliation revealed no statistically significant differences for CCI and PEI; and some statistically significant differences for OAI, PCI, ITRI, and WTI.

Conclusion

There were two key gleanings from the issues related to EHR MedRec unearthed by this study: 1) there was an absence of shared understanding among practitioners, of the value of EHR MedRec in promoting patient safety, which contributed to workarounds, and suboptimal use of the EHR MedRec system; and 2) there was a socio-technical dimension to many of the issues, creating an added layer of complexity. These gleanings in turn, provide insights into best practices for managing both clinical transitions-of-care in the EHR MedRec process; and socio-technical challenges encountered in EHR MedRec implementation.

Short or Long End of the Lever? Associations between Provider Communication of the "Asthma-Action Plan" and Outpatient Revisits for Pediatric Asthma

BACKGROUND

At the Children's Hospital of Georgia (CHOG), we found that outpatient revisits for pediatric asthma were significantly above national norms. According to the NIH, costly hospital revisits for asthma can be prevented through guidelines-based self-management of asthma, central to which, is the use of a written Asthma-Action Plan (AAP).

PURPOSE

The asthma services literature has emphasized the role of the healthcare provider in promoting asthma self-management using the AAP, to prevent hospital revisits. On the other hand, the asthma policy literature has emphasized the need for community-based interventions to promote asthma self-management. A gap remains in understanding the extent of leverage that healthcare providers may have in preventing hospital revisits for asthma, through effective communication of AAP in the outpatient setting. Our study sought to address this gap.

METHODS

We conducted a 6-month intervention to implement "patient-and-family-centered communication of the AAP" in CHOG outpatient clinics, based on the "change-management" theoretical framework. Provider communication of AAP was assessed through a survey of "Parent Understanding of the Child's AAP." A quasi-experimental approach was used to measure outpatient revisits for pediatric asthma, pre- and post-intervention.

RESULTS

Survey results showed that provider communication of the AAP was unanimously perceived highly positively by parents of pediatric asthma patients, across various metrics of patient-centered care. However, there were no statistically significant differences in outpatient "revisit behavior" for pediatric asthma between pre- and post-intervention periods after controlling for several demographic variables. Additionally, revisits remained significantly above national norms.

CONCLUSIONS

Results suggest limited potential of "effective provider communication of AAP," in reducing outpatient revisits for pediatric asthma; and indicate need for broader community-based interventions to address patient life variables impacting self-management and hospital revisits for pediatric asthma. Findings suggest need for a revised "socio-ecological" theoretical framework, and also provide insight into various policy, research, and practice implications for asthma management and control.

Killing Range: Explaining Lethality Variance within a Terrorist Organization

This paper presents an analysis of the Provisional Irish Republican Army's (PIRA) brigade level behavior during the Northern Ireland Conflict (1970-1998) and identifies the organizational factors that impact a brigade's lethality as measured via terrorist attacks. Key independent variables include levels of technical expertise, cadre age, counter-terrorism policies experienced, brigade size, and IED components and delivery methods. We find that technical expertise within a brigade allows for careful IED usage, which significantly minimizes civilian casualties (a specific strategic goal of PIRA) while increasing the ability to kill more high value targets with IEDs. Lethal counter-terrorism events also significantly affect a brigade's likelihood of killing both civilians and high-value targets but in different ways. Killing PIRA members significantly decreases IED fatalities but also significantly decreases the possibility of zero civilian IED-related deaths in a given year. Killing innocent Catholics in a Brigade's county significantly increases total and civilian IED fatalities. Together the results suggest the necessity to analyze dynamic situational variables that impact terrorist group behavior at the sub-unit level.