Conectar
Background
Fatigue is a highly prevalent symptom for individuals with polycystic ovary syndrome (PCOS); however, characterization of fatigue and investigation into the gut microbiome—a pathway that may contribute to fatigue—remains inadequately explored in Black women with PCOS.
Objectives
The purpose of this cross-sectional study was to examine fatigue and its relationship to the gut microbiome in adult Black women with PCOS.
Methods
Adult Black women with a diagnosis of PCOS were recruited for this cross-sectional study. The Multidimensional Fatigue Inventory-20 (MFI-20) and the PROMIS Fatigue Short Form were used to measure fatigue. The V3/V4 region of the bacterial 16S rRNA gene was sequenced to investigate gut microbial composition. Relative abundance and diversity values were calculated.
Results
We found that Black women with PCOS experience mild to moderate levels of fatigue. An inverse relationship between fatigue scores and alpha diversity values was found for the gut microbiome. We also found distinct beta diversity profiles based on fatigue. Lastly, when controlling for hypertension and body mass index, Ruminococcus bromii, Blautia obeum, Roseburia, and HT002 were associated with three subscales of the MFI-20.
Discussion
Black women with PCOS experience mild to moderate fatigue. Clinicians should be cognizant of this population’s increased risk for fatigue to adequately address their healthcare needs. We also found that gut microbial composition was associated with fatigue in Black women with PCOS. Specifically, a higher relative abundance of certain gut bacteria involved in short-chain fatty acid production and anti-inflammatory pathways was correlated with lower fatigue levels. Future studies should further investigate the link between the gut microbiome and fatigue to determine whether this relationship is causal as better insight could inform tailored diet and exercise interventions to alter the gut microbiome and reduce fatigue.
Background
Older adults from specific racial and ethnic minoritized groups experience disproportionately higher asthma prevalence, morbidity, and mortality. They also often use emergency departments (EDs) to manage their asthma. High-quality primary care can improve asthma control and prevent ED use. Nurse practitioners (NPs) provide an increasing proportion of primary care to minoritized patients, yet often, they work in poor work environments that strain NP care.
Objectives
We examined whether racial and ethnic health disparities in ED visits among older adults with asthma are moderated by the NP work environment in primary care practices.
Methods
In 2018–2019, we used a cross-sectional design to collect survey data on NP work environments from 1,244 NPs in six geographically diverse states (i.e., Arizona, California, New Jersey, Pennsylvania, Texas, and Washington). We merged the survey data with 2018 Medicare claims data from 46,658 patients with asthma to assess the associations of all-cause and ambulatory care-sensitive conditions, ED visits with NPs’ work environment, and race and ethnicity using logistic regression.
Results
More than one third of patients with asthma visited the ED in 1 year, and a quarter of them had an ambulatory care-sensitive condition ED visit. Black and Hispanic patients were more likely than White patients to have all-cause and ambulatory care-sensitive condition ED visits. NP work environment moderated the association of race with all-cause and ambulatory care-sensitive condition ED visits among patients with asthma. Greater standardized NP work environment scores were associated with lower odds of all-cause and ambulatory care-sensitive condition ED visits between Black and White patients.
Discussion
Disparities in ED visits between Black and White patients with asthma decrease when these patients receive care in care clinics with more favorable NP work environments. Preventing unnecessary ED visits among older adults with asthma is a likely benefit of favorable NP work environments. As the NP workforce grows, creating favorable work environments for NPs in primary care is vital for narrowing the health disparity gap.
Background
Patients with multiple chronic conditions often have many care plans, polypharmacy, and unrelieved symptoms that contribute to high emergency department and hospital use. High-quality primary care delivered in practices that employ nurse practitioners can help prevent the need for such acute care services. However, such practices located in primary care health professional shortage areas face challenges caring for these patients because of higher workloads and fewer resources.
Objective
We examined differences in hospitalization and emergency department use among patients with multiple chronic conditions who receive care from practices that employ nurse practitioners in health professional shortage areas compared to practices that employ nurse practitioners in non-health professional shortage areas.
Methods
We performed an analysis of Medicare claims, merged with Health Resources and Services Administration data on health professional shortage area status in five states. Our sample included 394,424 community-dwelling Medicare beneficiaries aged ≥65 years, with at least two of 15 common chronic conditions who received care in 779 practices that employ nurse practitioners. We used logistic regression to assess the relationship between health professional shortage area status and emergency department visits or hospitalizations.
Results
We found a higher likelihood of emergency department visits among patients in health professional shortage areas compared to those in non-health professional shortage areas and no difference in the likelihood of hospitalization.
Discussion
Emergency department use differences exist among older adults with multiple chronic conditions receiving care in practices that employ nurse practitioners in health professional shortage areas, compared to those in non-health professional shortage areas. To address this disparity, the health professional shortage area program should invest in recruiting and retaining nurse practitioners to health professional shortage areas to ease workforce shortages.
Background
Women veterans have a high prevalence of traditional and nontraditional risks for cardiovascular disease (CVD) including obesity and posttraumatic stress disorder. Experts from the U.S. Department of Veterans Affairs have called for actions to improve the cardiovascular health of this population. One approach is to assess women veterans’ barriers to care-seeking for CVD prevention, to inform future intervention research.
Objective
The objective of this study was to describe women veterans’ barriers to care-seeking for CVD prevention, guided by the theory of care-seeking behavior and concept awareness.
Methods
Using a cross-sectional, descriptive design, a national sample of 245 women veterans participated in an online survey about barriers to care-seeking. Participants provided narrative responses to open-ended items, endorsements to closed-ended items, and rankings of their top five barriers. Researchers conducted poststratification weighting of numerical data to reflect the women veteran population.
Results
Narrative responses described unaffordable and inaccessible services, feeling harassed or not respected in healthcare settings, and lack of awareness of risks for CVD. Frequently endorsed barriers were unaffordable and inaccessible services. Frequently ranked barriers were feeling not respected in healthcare settings and clinicians not recommending CVD prevention.
Discussion
Findings support concepts in theory of care-seeking behavior and concept awareness. Understanding women veterans’ barriers to care-seeking for CVD prevention can inform clinicians and researchers as they address these barriers.
Background
A realist approach has gained popularity in evaluation research, particularly in understanding causal explanations of how a program works (or not), the circumstances, and the observed outcomes. In qualitative inquiry, the approach has contributed to better theoretically based explanations regarding causal interactions.
Objective
The aim of this study was to discuss how we conducted a realist-informed data analysis to explore the causal interactions within qualitative data.
Methods
We demonstrated a four-step realist approach of retroductive theorizing in qualitative data analysis using a concrete example from our empirical research rooted in the critical realism philosophical stance. These steps include (a) category identification, (b) elaboration of context-mechanism-outcome configuration, (c) demi-regularities identification, and (d) generative mechanism refinement.
Results
The four-step qualitative realist data analysis underpins the causal interactions of important factors and reveals the underlying mechanisms. The steps produce comprehensive causal explanations that can be used by related parties—especially when making complex decisions that may affect wide communities.
Discussion
The core process of realist data analysis is retroductive theorizing. The four-step qualitative realist data analysis facilitates this theorizing by allowing the researcher to identify (a) patterns, (b) fluctuation of patterns, (c) mechanisms from collected data, and (d) to confirm proposed mechanisms.
Background
Translation strategies are commonly used for qualitative interview data to bridge language barriers. Inconsistent translation of interviews can lead to conceptual inequivalence, where meanings of participants' experiences are distorted, threatening scientific rigor.
Objectives
Our objective is to describe a systematic method developed to analyze multilingual, qualitative interview data while maintaining the original language of the transcripts.
Methods
A literature review of translation strategies, cross-language, and multilingual qualitative research was conducted. Combined with criteria for qualitative content analysis and trustworthiness, the methodology was developed and used for a qualitative descriptive study.
Results
The study had interview data in both English and Spanish. The research team consisted of both native Spanish and English speakers, who were grouped based on language. Verbatim transcription of data occurred in the original languages. All codes were kept in English, allowing the research team to view the data set as a whole. Two researchers within each group coded each transcript independently before reaching a consensus. The entire research team discussed all transcripts, and finally, major themes were determined. Participants' quotes remained in the original language for publication, with an English translation included when needed.
Discussion
Analyzing transcripts in the original language brought forth cultural themes that otherwise may have been overlooked. This methodology promotes conceptual equivalence and trustworthiness that is paramount in cultural, linguistic, and social determinants of health research to advance health equity. 
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