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    Lessons Learned for Identifying and Annotating Permissions in Clinical Consent Forms
    (Thieme, 2021) Umberfield, Elizabeth E.; Jiang, Yun; Fenton, Susan H.; Stansbury, Cooper; Ford, Kathleen; Crist, Kaycee; Kardia, Sharon L. R.; Thomer, Andrea K.; Harris, Marcelline R.; Health Policy and Management, School of Public Health
    Background: The lack of machine-interpretable representations of consent permissions precludes development of tools that act upon permissions across information ecosystems, at scale. Objectives: To report the process, results, and lessons learned while annotating permissions in clinical consent forms. Methods: We conducted a retrospective analysis of clinical consent forms. We developed an annotation scheme following the MAMA (Model-Annotate-Model-Annotate) cycle and evaluated interannotator agreement (IAA) using observed agreement (A o), weighted kappa (κw ), and Krippendorff's α. Results: The final dataset included 6,399 sentences from 134 clinical consent forms. Complete agreement was achieved for 5,871 sentences, including 211 positively identified and 5,660 negatively identified as permission-sentences across all three annotators (A o = 0.944, Krippendorff's α = 0.599). These values reflect moderate to substantial IAA. Although permission-sentences contain a set of common words and structure, disagreements between annotators are largely explained by lexical variability and ambiguity in sentence meaning. Conclusion: Our findings point to the complexity of identifying permission-sentences within the clinical consent forms. We present our results in light of lessons learned, which may serve as a launching point for developing tools for automated permission extraction.
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    What Are Public Health Agencies Planning for Workforce Development? A Content Analysis of Workforce Development Plans of Accredited Public Health Departments
    (Wolters Kluwer, 2023) Yeager, Valerie A.; Burns, Ashlyn B.; Lang, Britt; Kronstadt, Jessica; Hughes, Monica J.; Gutta, Jyotsna; Kirkland, Chelsey; Orr, Jason; Leider, Jonathon P.; Health Policy and Management, School of Public Health
    Objective: Recruiting and retaining public health employees and ensuring they have the skills necessary to respond are vital for meeting public health needs. As the first study examining health department (HD) workforce development plans (WDPs), this study presents gaps and strategies identified in WDPs across 201 accredited HDs (168 initial/33 reaccreditation plans). Design: This cross-sectional study employed qualitative review and content analysis of WDPs submitted to the Public Health Accreditation Board (PHAB) between March 2016 and November 2021. Main outcome measures: Eight overarching workforce themes were examined: planning/coordination, leadership, organizational culture, workplace supports/retention, recruitment, planning for departmental training, delivery of departmental training, and partnership/engagement. Within each theme, related subthemes were identified. Coders indicated whether the WDP (1) identified the subtheme as a gap; (2) stated an intent to address the subtheme; and/or (3) identified a strategy for addressing the subtheme. Results: The most common gaps identified included prepare workforce for community engagement/partnership (34.3%, n = 69), followed by resource/fund training (24.9%, n = 50). The subtheme that had the most instances of an identified strategy to address it was assess training needs (84.1%, n = 169), followed by foster quality improvement (QI) culture/provide QI training (63.2%, n = 127). While both of these strategies were common among the majority of HDs, those subthemes were rarely identified as a gap. Secondary findings indicate that increase recruitment diversity/recruit from a more diverse applicant pool was rarely identified as a gap (6.0%, n = 12) and rarely had an identified strategy for addressing the subtheme (9.0%, n = 18). Conclusion: While HDs recognized many workforce gaps, HDs did not always propose a strategy for addressing them within the WDP. Conversely, some WDPs proposed strategies for subthemes that did not reflect recognized gaps. Such discrepancies between identified gaps and strategies in WDPs may suggest areas where HDs could use additional support and guidance.
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    Qualitative Insights From Governmental Public Health Employees About Experiences Serving During the COVID-19 Pandemic, PH WINS 2021
    (Wolters Kluwer, 2023) Yeager, Valerie A.; Madsen, Emilie R.; Schaffer, Kay; Health Policy and Management, School of Public Health
    Objective: The purpose of the current study was to examine governmental public health employee experiences during the COVID-19 pandemic. Design and setting: A total of 5169 responses to a PH WINS 2021 open-ended question were qualitatively coded. The question asked employees to share their experiences during the COVID-19 response. The 15 most common themes are discussed. Participants: Responses from governmental public health employees in state health agencies (SHAs), big cities (Big City Health Coalition or BCHC agencies), and local health departments (LHDs) across all 50 states were included. Results: The most frequently identified theme was pride in public health work and/or the mission of public health (20.8%), followed by leadership (17.2%), burnout or feeling overwhelmed (14%), communication (11.7%), and overtime/extra work (9.7%). Among the top 15 themes identified, comments about pride in public health work and/or the mission of public health (95.9%), teamwork (81.5%), and telework (61%) were predominantly positive. Co-occurring themes for responses that expressed pride in public health work and/or the mission of public health were often countered with explanations of why respondents remain frustrated, including feeling burned out or overwhelmed , disappointment with the community's sense of responsibility or trust in science , and feeling unappreciated either by the community or their agency. All of these co-occurring themes were predominantly negative. Conclusions: Employees are proud to work in public health and value teamwork but often felt overworked and unappreciated during the COVID-19 pandemic. Reviewing existing emergency preparedness protocols in the context of lessons learned during the COVID-19 pandemic and listening to employees' experiences with teleworking and task sharing may better prepare agencies for future challenges. Creating channels for clear communication during a period of changing information and guidelines may help employees feel more prepared and valued during an emergency response.
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    Defining safety net hospitals in the health services research literature: a systematic review and critical appraisal
    (BMC, 2021-03-25) Hefner, Jennifer L.; Hogan, Tory Harper; Opoku-Agyeman, William; Menachemi, Nir; Health Policy and Management, School of Public Health
    Background: The aim of this study was to identify the range of ways that safety net hospitals (SNHs) have been empirically operationalized in the literature and determine the extent to which patterns could be identified in the use of empirical definitions of SNHs. Methods: We conducted a PRISMA guided systematic review of studies published between 2009 and 2018 and analyzed 22 articles that met the inclusion criteria of hospital-level analyses with a clear SNH definition. Results: Eleven unique SNH definitions were identified, and there were no obvious patterns in the use of a definition category (Medicaid caseload, DSH payment status, uncompensated care, facility characteristics, patient care mix) by the journal type where the article appeared, dataset used, or the year of publication. Conclusions: Overall, there is broad variability in the conceptualization of, and variables used to define, SNHs. Our work advances the field toward the development of standards in measuring, operationalizing, and conceptualizing SNHs across research and policy questions.
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    Application for Public Health Accreditation Among US Local Health Departments in 2013 to 2019: Impact of Service and Activity Mix
    (American Public Health Association, 2021) Leider, Jonathon P.; Kronstadt, Jessica; Yeager, Valerie A.; Hall, Kellie; Saari, Chelsey K.; Alford, Aaron; Tremmel Freeman, Lori; Kuehnert, Paul; Health Policy and Management, School of Public Health
    Objectives: To examine correlates of applying for accreditation among small local health departments (LHDs) in the United States through 2019. Methods: We used administrative data from the Public Health Accreditation Board (PHAB) and 2013, 2016, and 2019 Profile data from the National Association of County and City Health Officials to examine correlates of applying for PHAB accreditation. We fit a latent class analysis (LCA) to characterize LHDs by service mix and size. We made bivariate comparisons using the t test and Pearson χ2. Results: By the end of 2019, 126 small LHDs had applied for accreditation (8%). When we compared reasons for not pursuing accreditation, we observed a difference by size for perceptions that standards exceeded LHD capacity (47% for small vs 22% for midsized [P < .001] and 0% for large [P < .001]). Conclusions: Greater funding support, considering differing standards by LHD size, and recognition that service mix might affect practicality of accreditation are all relevant considerations in attempting to increase uptake of accreditation for small LHDs. Public Health Implications: Overall, small LHDs represented about 60% of all LHDs that had not yet applied to PHAB.
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    Use of Electronic Health Records on Days Off: Comparing Physicians to Other EHR Users
    (Springer, 2021) Apathy, Nate C.; Harle, Christopher A.; Vest, Joshua R.; Morea, Justin; Menachemi, Nir; Health Policy and Management, School of Public Health
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    Perceptions of Nurses Delivering Nursing Home Virtual Care Support: A Qualitative Pilot Study
    (Sage, 2023-03-22) Mills, Carol A.; Tran, Yvette; Yeager, Valerie A.; Unroe, Kathleen T.; Holmes, Ann; Blackburn, Justin; Health Policy and Management, School of Public Health
    Avoidable hospitalizations among nursing home residents result in poorer health outcomes and excess costs. Consequently, efforts to reduce avoidable hospitalizations have been a priority over the recent decade. However, many potential interventions are time-intensive and require dedicated clinical staff, although nursing homes are chronically understaffed. The OPTIMISTIC project was one of seven programs selected by CMS as “enhanced care & coordination providers” and was implemented from 2012 to 2020. This qualitative study explores the perceptions of the nurses that piloted a virtual care support project developed to expand the program’s reach through telehealth, and specifically considered how nurses perceived the effectiveness of this program. Relationships, communication, and access to information were identified as common themes facilitating or impeding the perceived effectiveness of the implementation of virtual care support programs within nursing homes.
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    Racial differences in recurrent ischemic stroke risk and recurrent stroke case fatality
    (Wolters Kluwer, 2018) Albright, Karen C.; Huang, Lei; Blackburn, Justin; Howard, George; Mullen, Michael; Bittner, Vera; Muntner, Paul; Howard, Virginia; Health Policy and Management, School of Public Health
    Objective: To determine black-white differences in 1-year recurrent stroke and 30-day case fatality after a recurrent stroke in older US adults. Methods: We conducted a retrospective cohort study using a 5% random sample of Medicare beneficiaries with fee-for-service health insurance coverage who were hospitalized for ischemic stroke between 1999 and 2013. Hazard ratios for recurrent ischemic stroke and risk ratios for 30-day case fatality comparing blacks to whites were calculated with adjustment for demographics, risk factors, and competing risk of death when appropriate. Results: Among 128,789 Medicare beneficiaries having an ischemic stroke (mean age 80 years [SD 8 years], 60.4% male), 11.1% were black. The incidence rate of recurrent ischemic stroke per 1,000 person-years for whites and blacks was 108 (95% confidence interval [CI], 106-111) and 154 (95% CI 147-162) , respectively. The multivariable-adjusted hazard ratio for recurrent stroke among blacks compared with whites was 1.36 (95% CI 1.29-1.44). The case fatality after recurrent stroke for blacks and whites was 21% (95% CI 21%-22%) and 16% (95% CI 15%-18%), respectively. The multivariable-adjusted relative risk for mortality within 30 days of a recurrent stroke among blacks compared with whites was 0.82 (95% CI 0.73-0.93). Conclusion: The risk of stroke recurrence among older Americans hospitalized for ischemic stroke is higher for blacks compared to whites, while 30-day case fatality after recurrent stroke remains lower for blacks.
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    Differential Impact of Hospital and Community Factors on Medicare Readmission Penalties
    (Wiley, 2018) Aswani, Monica S.; Kilgore, Meredith L.; Becker, David J.; Redden, David T.; Sen, Bisakha; Blackburn, Justin; Health Policy and Management, School of Public Health
    Objective: To identify hospital/county characteristics and sources of regional heterogeneity associated with readmission penalties. Data sources/study setting: Acute care hospitals under the Hospital Readmissions Reduction Program from fiscal years 2013 to 2018 were linked to data from the Annual Hospital Association, Centers for Medicare and Medicaid Services, Medicare claims, Hospital Compare, Nursing Home Compare, Area Resource File, Health Inequity Project, and Long-term Care Focus. The final sample contained 3,156 hospitals in 1,504 counties. Data collection/extraction methods: Data sources were combined using Medicare hospital identifiers or Federal Information Processing Standard codes. Study design: A two-level hierarchical model with correlated random effects, also known as the Mundlak correction, was employed with hospitals nested within counties. Principal findings: Over a third of the variation in readmission penalties was attributed to the county level. Patient sociodemographics and the surrounding access to and quality of care were significantly associated with penalties. Hospital measures of Medicare volume, percentage dual-eligible and Black patients, and patient experience were correlated with unobserved area-level factors that also impact penalties. Conclusions: As the readmission risk adjustment does not include any community-level characteristics or geographic controls, the resulting endogeneity bias has the potential to disparately penalize certain hospitals.
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    Quantifying Electronic Health Record Data Quality in Telehealth and Office-Based Diabetes Care
    (Thieme, 2022) Wiley, Kevin K.; Mendonca, Eneida; Blackburn, Justin; Menachemi, Nir; De Groot, Mary; Vest, Joshua R.; Health Policy and Management, School of Public Health
    Objective: Data derived from the electronic health record (EHR) are commonly reused for quality improvement, clinical decision-making, and empirical research despite having data quality challenges. Research highlighting EHR data quality concerns has largely been examined and identified during traditional in-person visits. To understand variations in data quality among patients managing type 2 diabetes mellitus (T2DM) with and without a history of telehealth visits, we examined three EHR data quality dimensions: timeliness, completeness, and information density. Methods: We used EHR data (2016-2021) from a local enterprise data warehouse to quantify timeliness, completeness, and information density for diagnostic and laboratory test data. Means and chi-squared significance tests were computed to compare data quality dimensions between patients with and without a history of telehealth use. Results: Mean timeliness or T2DM measurement age for the study sample was 77.8 days (95% confidence interval [CI], 39.6-116.4). Mean completeness for the sample was 0.891 (95% CI, 0.868-0.914). The mean information density score was 0.787 (95% CI, 0.747-0.827). EHR data for patients managing T2DM with a history of telehealth use were timelier (73.3 vs. 79.8 days), and measurements were more uniform across visits (0.795 vs. 0.784) based on information density scores, compared with patients with no history of telehealth use. Conclusion: Overall, EHR data for patients managing T2DM with a history of telehealth visits were generally timelier and measurements were more uniform across visits than for patients with no history of telehealth visits. Chronic disease care relies on comprehensive patient data collected via hybrid care delivery models and includes important domains for continued data quality assessments prior to secondary reuse purposes.