A qualitative analysis of stigmatizing language in birth admission clinical notes.

The presence of stigmatizing language in the electronic health record (EHR) has been used to measure implicit biases that underlie health inequities. The purpose of this study was to identify the presence of stigmatizing language in the clinical notes of pregnant people during the birth admission. We conducted a qualitative analysis on N = 1117 birth admission EHR notes from two urban hospitals in 2017. We identified stigmatizing language categories, such as Disapproval (39.3%), Questioning patient credibility (37.7%), Difficult patient (21.3%), Stereotyping (1.6%), and Unilateral decisions (1.6%) in 61 notes (5.4%). We also defined a new stigmatizing language category indicating Power/privilege. This was present in 37 notes (3.3%) and signaled approval of social status, upholding a hierarchy of bias. The stigmatizing language was most frequently identified in birth admission triage notes (16%) and least frequently in social work initial assessments (13.7%). We found that clinicians from various disciplines recorded stigmatizing language in the medical records of birthing people. This language was used to question birthing people's credibility and convey disapproval of decision-making abilities for themselves or their newborns. We reported a Power/privilege language bias in the inconsistent documentation of traits considered favorable for patient outcomes (e.g., employment status). Future work on stigmatizing language may inform tailored interventions to improve perinatal outcomes for all birthing people and their families.

Integrating health disparities content into health informatics courses: a cross-sectional survey study and recommendations.

Objective: To assess the extent to which health disparities content is integrated in multidisciplinary health informatics training programs and examine instructor perspectives surrounding teaching strategies and challenges, including student engagement with course material. Materials and Methods: Data for this cross-sectional, descriptive study were collected between April and October 2019. Instructors of informatics courses taught in the United States were recruited via listservs and email. Eligibility was contingent on course inclusion of disparities content. Participants completed an online survey with open- and closed-ended questions to capture administrative- and teaching-related aspects of disparities education within informatics. Quantitative data were analyzed using descriptive statistics; qualitative data were analyzed using inductive coding. Results: Invitations were sent to 141 individuals and 11 listservs. We obtained data from 23 instructors about 24 informatics courses containing health disparities content. Courses were taught primarily in graduate-level programs (n = 21, 87.5%) in informatics (n = 9, 33.3%), nursing (n = 7, 25.9%), and information science (n = 6, 22.2%). The average course covered 6.5 (range 2-13) social determinants of health; socioeconomic status and race/ethnicity (both n = 21, 87.5%) were most frequently addressed. Instructors described multiple obstacles, including lack of resources and time to cover disparities topics adequately, topic sensitivity, and student-related challenges (eg, lack of prior understanding about disparities). Discussion: A foundational and translational knowledge in health disparities is critical to a student's ability to develop future equitable informatics solutions. Based on our findings, we provide recommendations for the intentional and required integration of health disparities-specific content in informatics curricula and competencies.

Exploring the Relationship between Nurse Practitioner Full Practice Authority, Nurse Practitioner Workforce Diversity, and Disparate Primary Care Access.

In this study, we examine how full nurse practitioner (NP) practice authority affects racial and ethnic diversity of the NP workforce. Specifically, the purpose of our research is to understand the relationship between the racial and ethnic composition of the NP workforce, NP level of practice authority, and the communities they service. In this paper, we compare the ethnic and racial composition of the NP workforce to the composition of the state's population, and then observe if there are any noticeable differences in the patients served by NPs when we compare full practice authority (FPA) and non-FPA states. We also estimate how FPA affects the race and ethnicity of Medicare patients served by NPs.

Primary Care Nurse Practitioner Work Environments and Hospitalizations and ED Use Among Chronically Ill Medicare Beneficiaries.

BACKGROUND: Nurse practitioners (NPs) play a critical role in delivering primary care, particularly to chronically ill elderly. Yet, many NPs practice in poor work environments which may affect patient outcomes. OBJECTIVE: We investigated the relationship between NP work environments in primary care practices and hospitalizations and emergency department (ED) use among chronically ill elderly. RESEARCH DESIGN: We used a cross-sectional design to collect survey data from NPs about their practices. The survey data were merged with Medicare claims data. SUBJECTS: In total, 979 primary care practices employing NPs and delivering care to chronically ill Medicare beneficiaries (n=452,931) from 6 US states were included. MEASURES: NPs completed the Nurse Practitioner-Primary Care Organizational Climate Questionnaire-a valid and reliable measure for work environment. Data on hospitalizations and ED use was obtained from Medicare claims. We used Cox regression models to estimate risk ratios. RESULTS: After controlling for covariates, we found statistically significant associations between practice-level NP work environment and 3 outcomes: Ambulatory Care Sensitive (ACS) ED visits, all-cause ED visits, and all-cause hospitalizations. With a 1-unit increase in the work environment score, the risk of an ACS-ED visit decreased by 4.4% [risk ratio (RR)=0.956; 99% confidence interval (CI): 0.918-0.995; P=0.004], an ED visit by 3.5% (RR=0.965; 99% CI: 0.933-0.997; P=0.005), and a hospitalization by 4.0% (RR=0.960;99% CI: 0.928-0.993; P=0.002). There was no relationship between NP work environment and ACS hospitalizations. CONCLUSION: Favorable NP work environments are associated with lower hospital and ED utilization. Practice managers should focus on NP work environments in quality improvement strategies.

Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians.

OBJECTIVE: To identify the risk factors home healthcare (HHC) clinicians associate with patient deterioration and understand how clinicians respond to and document these risk factors. METHODS: We interviewed multidisciplinary HHC clinicians from January to March of 2021. Risk factors were mapped to standardized terminologies (eg, Omaha System). We used directed content analysis to identify risk factors for deterioration. We used inductive thematic analysis to understand HHC clinicians' response to risk factors and documentation of risk factors. RESULTS: Fifteen HHC clinicians identified a total of 79 risk factors that were mapped to standardized terminologies. HHC clinicians most frequently responded to risk factors by communicating with the prescribing provider (86.7% of clinicians) or following up with patients and caregivers (86.7%). HHC clinicians stated that a majority of risk factors can be found in clinical notes (ie, care coordination (53.3%) or visit (46.7%)). DISCUSSION: Clinicians acknowledged that social factors play a role in deterioration risk; but these factors are infrequently studied in HHC. While a majority of risk factors were represented in the Omaha System, additional terminologies are needed to comprehensively capture risk. Since most risk factors are documented in clinical notes, methods such as natural language processing are needed to extract them. CONCLUSION: This study engaged clinicians to understand risk for deterioration during HHC. The results of our study support the development of an early warning system by providing a comprehensive list of risk factors grounded in clinician expertize and mapped to standardized terminologies.

Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study.

OBJECTIVE: The study provides considerations for generating a phenotype of child abuse and neglect in Emergency Departments (ED) using secondary data from electronic health records (EHR). Implications will be provided for racial bias reduction and the development of further decision support tools to assist in identifying child abuse and neglect. MATERIALS AND METHODS: We conducted a qualitative study using in-depth interviews with 20 pediatric clinicians working in a single pediatric ED to gain insights about generating an EHR-based phenotype to identify children at risk for abuse and neglect. RESULTS: Three central themes emerged from the interviews: (1) Challenges in diagnosing child abuse and neglect, (2) Health Discipline Differences in Documentation Styles in EHR, and (3) Identification of potential racial bias through documentation. DISCUSSION: Our findings highlight important considerations for generating a phenotype for child abuse and neglect using EHR data. First, information-related challenges include lack of proper previous visit history due to limited information exchanges and scattered documentation within EHRs. Second, there are differences in documentation styles by health disciplines, and clinicians tend to document abuse in different document types within EHRs. Finally, documentation can help identify potential racial bias in suspicion of child abuse and neglect by revealing potential discrepancies in quality of care, and in the language used to document abuse and neglect. CONCLUSIONS: Our findings highlight challenges in building an EHR-based risk phenotype for child abuse and neglect. Further research is needed to validate these findings and integrate them into creation of an EHR-based risk phenotype.

Pain treatment and functional improvement in home health care: Relationship with dementia.

BACKGROUND: Pain management is important to post-acute functional recovery, yet older persons with Alzheimer's disease and related dementias (ADRD) are often undertreated for pain. The main objectives were (1) to examine the relationship between ADRD and analgesic use among Medicare home health care (HHC) recipients with daily interfering pain, and (2) to examine the impact of analgesic use on functional outcome in patients with and without ADRD. METHODS: We analyzed longitudinal data from the Outcome and Assessment Information Set, Medicare HHC claims, and HHC electronic medical records during a 60-day HHC episode. The sample included 6048 Medicare beneficiaries ≥65 years receiving care from an HHC agency in New York in 2019 who reported daily interfering pain. Analgesic use was assessed during HHC medication reconciliation and included any analgesic, non-opioid analgesic, and opioid. ADRD was identified from ICD-10 codes (HHC claims) and cognitive impairment symptoms (Outcome and Assessment Information Set [OASIS]). Functional outcome was measured as change in the composite Activity of Daily Living (ADL) limitation score in the HHC episode. RESULTS: ADRD was related to a lower likelihood of using any analgesic (odds ratio [OR] = 0.66, 95% confidence interval [CI]: 0.49, 0.90, p = 0.008) and opioids (OR = 0.54, 95% CI: 0.47, 0.62, p < 0.001), but not related to non-opioid analgesic use (OR = 0.94, 95% CI: 0.74, 1.18, p = 0.58). Stratified analyses showed that any analgesic use (ß = -0.43, 95% CI: -0.73, -0.13, p = 0.004) and non-opioid analgesic use (ß = -0.31, 95% CI: -0.56, -0.06, p = 0.016) were associated with greater ADL improvement in patients with ADRD, but not in patients without ADRD. Opioid use was not significantly related to ADL improvement regardless of ADRD status. CONCLUSIONS: HHC patients with ADRD may be undertreated for pain, yet pain treatment is essential for functional improvement in HHC. HHC clinicians and policymakers should ensure adequate pain management for older persons with ADRD for improved functional outcomes.

Factors Associated with Timing of the Start-of-Care Nursing Visits in Home Health Care.

OBJECTIVES: Home health care patients have critical needs requiring timely care following hospital discharge. Although Medicare requires timely start-of-care nursing visits, a significant portion of home health care patients wait longer than 2 days for the first visit. No previous studies investigated the pattern of start-of-care visits or factors associated with their timing. This study's purpose was to examine variation in timing of start-of-care visits and characterize patients with visits later than 2 days postdischarge. DESIGN: Retrospective cohort study. SETTING/PARTICIPANTS: Patients admitted to a large, Northeastern US, urban home health care organization during 2019. The study included 48,497 home care episodes for 45,390 individual patients. MEASUREMENT: We calculated time to start of care from hospital discharge for 2 patient groups: those seen within 2 days vs those seen >2 days postdischarge. We examined patient factors, hospital discharge factors, and timing of start of care using multivariate logistic regression. RESULTS: Of 48,497 episodes, 16,251 (33.5%) had a start-of-care nursing visit >2 days after discharge. Increased odds of this time frame were associated with being black or Hispanic and having solely Medicaid insurance. Odds were highest for patients discharged on Fridays, Saturdays, and Mondays. Factors associated with visits within 2 days included surgical wound presence, urinary catheter, pain, 5 or more medications, and intravenous or infusion therapies at home. CONCLUSIONS AND IMPLICATIONS: Findings provide the first publication of clinical and demographic characteristics associated with home health care start-of-care timing and its variation. Further examination is needed, and adjustments to staff scheduling and improved information transfer are 2 suggested interventions to decrease variation.

Programmatic details and outcomes of an Academic-Practice Research Fellowship for clinical nurses.

AIM: Describe the programmatic details and outcomes of a competitive, two-year Academic-Practice Research Fellowship for clinical nurses. BACKGROUND: Numerous barriers challenge clinical nurses in their ability to conduct and disseminate research. We describe and evaluate a competitive, semi-structured, two-year Academic-Practice Research Fellowship in which clinical nurse 'fellows' accepted into the program are paired with a faculty mentor at a school of nursing to conduct and disseminate a research study that addresses a clinical problem identified by the fellow. The fellowship is facilitated by the Director of Academic-Practice Partnerships jointly appointed between a school of nursing and affiliated acute care hospitals, and with resources provided by both. The vast majority of didactic training is provided outside the classroom. METHODS: We reviewed administrative records to describe the programmatic details and outcomes of the program. RESULTS: Thirteen nurses were accepted into the first three cohorts of the Academic-Practice Research Fellowship. Among the five fellows in the graduating first cohort, all successfully completed their research, presented their findings at national or international conference(s) and four have submitted manuscripts for publication, with two being accepted for publication. The eight current fellows are meeting all delineated milestones and timelines. Evaluations demonstrate the effectiveness of the fellowship in enhancing the professional development and research capacity of clinical nurses. CONCLUSIONS: The Academic-Practice Research Fellowship program integrates expertise and resources across academia and practice and has resulted in the successful conduct and dissemination of clinically relevant research by fulltime practicing nurses in the acute care setting.

The Jonas Scholars Program-Evaluation of a decade-long program to advance doctoral-prepared nurses.

BACKGROUND: The Jonas Scholars Program of Jonas Nursing & Veterans Healthcare aims to advance the pipeline of doctoral-prepared, research-focused, and practice-focused faculty via student financial support and leadership training. PURPOSE: Program evaluation of the Jonas Scholars Program. We describe the reach of the program over time, scholar characteristics, and report on graduated scholars that are currently employed in faculty and clinical positions. METHOD: Retrospective analysis of administrative records from the Jonas Scholars Program spanning 2008 to 2016. FINDINGS: The Jonas Scholars Program has grown substantially since its inception. From 2008 to 2016, a total of 1,032 doctoral students at 174 universities across the United States have received financial support through the program. Scholars have a mean age of 38 and nearly two-thirds are enrolled in a research-focused PhD program. Most graduated scholars for which data are available are primarily faculty in nursing schools 185 (30.7%), providing direct patient care 171 (28.4%), or conducting research 118 (19.8%). DISCUSSION: The Jonas Scholars Program supports the pipeline of a younger generation of doctoral-prepared nurses that are faculty in schools of nursing, providing direct patient care and conducting research.

A scoping review of sexual minority women's health in Latin America and the Caribbean.

OBJECTIVES: Despite research documenting significant health disparities among sexual minority women (lesbian, bisexual, and other non-heterosexual women) in high-income countries, few studies of sexual minority women's health have been conducted in low- and middle-income countries. The purpose of this scoping review was to examine the empirical literature related to the health disparities and health needs of sexual minority women in Latin America and the Caribbean (LAC), and to identify research gaps and priorities. DESIGN: A scoping review methodology was used. DATA SOURCES: We conducted a comprehensive search of seven electronic databases. The search strategy combined keywords in three areas: sexual minority women, health, and LAC. English, Spanish, and Portuguese language studies published through 2017 in peer-reviewed journals were included. REVIEW METHODS: A total 1471 articles were retrieved. An additional 5 articles were identified following descendancy search; 3 of these met inclusion criteria. After removal of duplicates and title and abstract screening, we screened the full text of 37 articles, of which 22 (representing 18 distinct studies) met inclusion criteria. At least two authors independently reviewed and abstracted data from all articles. RESULTS: More than half of the studies were conducted in Brazil (n = 9) and Mexico (n = 5). Sexual health was the most studied health issue (n = 11). Sexual minority women were at elevated risk for sexually transmitted infections related to low use of barrier contraceptive methods during sexual encounters with men. Findings suggest that sexual minority women are generally distrustful of healthcare providers and view the healthcare system as heteronormative. Providers are believed to lack the knowledge and skills to provide culturally competent care to sexual minority women. Sexual minority women generally reported low levels of sexual health education and reluctance in seeking preventive screenings due to fear of mistreatment from healthcare providers. Sexual minority women also reported higher rates of poor mental health, disordered eating, and substance use (current tobacco and alcohol use) than heterosexual women. Gender-based violence was identified as a significant concern for sexual minority women in LAC. CONCLUSIONS: Significant knowledge gaps regarding sexual minority women's health in LAC were identified. Additional investigation of understudied areas where health disparities have been observed in other global regions is needed. Future research should explore how the unique social stressors sexual minority women experience impact their health. Nurses and other healthcare providers in the region need training in providing culturally appropriate care for this population.

What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions.

BACKGROUND: Mobile health (mHealth) is often reputed to be cost-effective or cost-saving. Despite optimism, the strength of the evidence supporting this assertion has been limited. In this systematic review the body of evidence related to economic evaluations of mHealth interventions is assessed and summarized. METHODS: Seven electronic bibliographic databases, grey literature, and relevant references were searched. Eligibility criteria included original articles, comparison of costs and consequences of interventions (one categorized as a primary mHealth intervention or mHealth intervention as a component of other interventions), health and economic outcomes and published in English. Full economic evaluations were appraised using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist and The PRISMA guidelines were followed. RESULTS: Searches identified 5902 results, of which 318 were examined at full text, and 39 were included in this review. The 39 studies spanned 19 countries, most of which were conducted in upper and upper-middle income countries (34, 87.2%). Primary mHealth interventions (35, 89.7%), behavior change communication type interventions (e.g., improve attendance rates, medication adherence) (27, 69.2%), and short messaging system (SMS) as the mHealth function (e.g., used to send reminders, information, provide support, conduct surveys or collect data) (22, 56.4%) were most frequent; the most frequent disease or condition focuses were outpatient clinic attendance, cardiovascular disease, and diabetes. The average percent of CHEERS checklist items reported was 79.6% (range 47.62-100, STD 14.18) and the top quartile reported 91.3-100%. In 29 studies (74.3%), researchers reported that the mHealth intervention was cost-effective, economically beneficial, or cost saving at base case. CONCLUSIONS: Findings highlight a growing body of economic evidence for mHealth interventions. Although all studies included a comparison of intervention effectiveness of a health-related outcome and reported economic data, many did not report all recommended economic outcome items and were lacking in comprehensive analysis. The identified economic evaluations varied by disease or condition focus, economic outcome measurements, perspectives, and were distributed unevenly geographically, limiting formal meta-analysis. Further research is needed in low and low-middle income countries and to understand the impact of different mHealth types. Following established economic reporting guidelines will improve this body of research.

Did I Tell You That? Ethical Issues Related to Using Computational Methods to Discover Non-Disclosed Patient Characteristics.

Widespread availability of electronic health records coupled with sophisticated statistical methods offer great potential for a variety of applications for health and disease surveillance, developing predictive models and advancing decision support for clinicians. However, use of "big data" mining and discovery techniques has also raised ethical issues such as how to balance privacy and autonomy with the wider public benefits of data sharing. Furthermore, electronic data are being increasingly used to identify individual characteristics, which can be useful for clinical prediction and management, but were not previously disclosed to a clinician. This process in computer parlance is called electronic phenotyping, and has a number of ethical implications. Using the Belmont Report's principles of respect for persons, beneficence, and justice as a framework, we examined the ethical issues posed by electronic phenotyping. Ethical issues identified include the ability of the patient to consent for the use of their information, the ability to suppress pediatric information, ensuring that the potential benefits justify the risks of harm to patients, and acknowledging that the clinician's biases or stereotypes, conscious or unintended, may become a factor in the therapeutic interaction. We illustrate these issues with two vignettes, using the person characteristic of gender minority status (i.e., transgender identity) and health history characteristic of substance abuse. Data mining has the potential to uncover patient characteristics previously obscured, which can provide clinicians with beneficial clinical information. Hence, ethical guidelines must be updated to ensure that electronic phenotyping supports the principles of respect for persons, beneficence, and justice.

Response to a mobile health decision-support system for screening and management of tobacco use.

PURPOSE/OBJECTIVES: To describe the predictors of nurse actions in response to a mobile health decision-support system (mHealth DSS) for guideline-based screening and management of tobacco use. DESIGN: Observational design focused on an experimental arm of a randomized, controlled trial. SETTING: Acute and ambulatory care settings in the New York City metropolitan area. SAMPLE: 14,115 patient encounters in which 185 RNs enrolled in advanced practice nurse (APN) training were prompted by an mHealth DSS to screen for tobacco use and select guideline-based treatment recommendations. METHODS: Data were entered and stored during nurse documentation in the mHealth DSS and subsequently stored in the study database where they were retrieved for analysis using descriptive statistics and logistic regressions. MAIN RESEARCH VARIABLES: Predictor variables included patient gender, patient race or ethnicity, patient payer source, APN specialty, and predominant payer source in clinical site. Dependent variables included the number of patient encounters in which the nurse screened for tobacco use, provided smoking cessation teaching and counseling, or referred patients for smoking cessation for patients who indicated a willingness to quit. FINDINGS: Screening was more likely to occur in encounters where patients were female, African American, and received care from a nurse in the adult nurse practitioner specialty or in a clinical site in which the predominant payer source was Medicare, Medicaid, or State Children's Health Insurance Program. In encounters where the patient payer source was other, nurses were less likely to provide tobacco cessation teaching and counseling. CONCLUSIONS: mHealth DSS has the potential to affect nurse provision of guideline-based care. However, patient, nurse, and setting factors influence nurse actions in response to an mHealth DSS for tobacco cessation. IMPLICATIONS FOR NURSING: The combination of a reminder to screen and integration of guideline-based recommendations into the mHealth DSS may reduce racial or ethnic disparities to screening, as well as clinician barriers related to time, training, and familiarity with resources.