Worse Nursing-Sensitive Indicators in Black-Serving Hospitals

Background In hospitals that serve disproportionately patients of Black race, here termed Black-serving hospitals (BSH), nurse staffing is worse, mortality rates are higher, and nursing-sensitive indicators may be worse than in other hospitals, but this evidence has not been compiled. Objective The study objective was to examine whether nursing-sensitive indicators, which measure changes in patient health status directly affected by nursing care, differ in hospitals where Black patients predominantly access their care, as compared to other hospitals. Methods To fulfill the objective, a cross-sectional design using publicly available 2019 to 2022 Hospital Compare, 2019 Medicare Provider Analysis and Review (MEDPAR), and case mix index (CMI) file databases were used. Four nursing-sensitive indicators were evaluated: pressure ulcer, postoperative sepsis, perioperative pulmonary embolus/deep vein thrombosis, and death rate among surgical inpatients with serious treatable complications (“failure to rescue”) in hospitals classified into high, medium, and low BSHs according to the percentage of patients of Black race in the MEDPAR data. Mean outcome differences across BSH categories were assessed through analyses of variance and regression models, which controlled for hospital CMI. Results The 3,101 hospitals were predominantly urban nonteaching hospitals in metropolitan areas. Although 12% of hospitals had Magnet designation, BSHs were disproportionately Magnet (14%). The outcome rates were 0.59 for pressure ulcers, 3.38 for perioperative pulmonary embolus/deep vein thrombosis, 143.58 for failure to rescue, and 4.12 for sepsis. Rates were significantly higher for pressure ulcers, perioperative pulmonary embolus/deep vein thrombosis, and sepsis in high BSHs. The mean failure to rescue rate was similar across low-to-high BSHs and did not show significant differences. These results were unchanged in models adjusting for CMI. Discussion The evidence suggests that several nursing-sensitive indicators are worse in high BSHs. Research linking nursing-sensitive indicators to nursing resources such as staffing is needed to explicate the mechanism underlying these findings. Poorer nursing-sensitive indicators in combination with poorer nurse staffing in high BSHs presents a priority for policy and management intervention.

Poorer Nurse Staffing in Black-Serving Hospitals

Background Patients in hospitals that serve disproportionately patients of Black race have worse outcomes than patients in other hospitals, but the modifiable nursing factors that may contribute to such disparities have not been explored. Objective The study objective was to examine whether nurse staffing differs in hospitals that serve predominantly patients of Black race (Black-serving hospitals) as compared to other hospitals. Methods A cross-sectional correlational design using a nurse survey in a national hospital sample was used to fulfill the study objective. Nurse staffing was measured as the maximum number of patients cared for on the last shift from the 2015 annual registered nurse survey conducted in National Database of Nursing Quality Indicators hospitals. Hospitals were classified into subgroups of low, medium, and high percentages of patients of Black race using the 2019 Medicare Provider Analysis and Review database. Results In survey data from 179,336 registered nurses in 574 hospitals, nurse staffing was significantly worse in high-Black-serving hospitals as compared to medium- and low-Black-serving hospitals. In Poisson regression models that adjusted for nursing unit type and hospital characteristics, nurses in high-Black-serving hospitals and medium-Black-serving hospitals had more patients-per-nurse than did nurses in low-Black-serving hospitals. Discussion Small, statistically significant differences in nurse staffing that are worse in hospitals where Black patients disproportionately access their care were found using nurse survey data accounting for nursing unit type. The poorer nurse staffing in Black-serving hospitals may compromise the care and outcomes of the seven in 10 hospitalized Black older adults who receive care in Black-serving hospitals. The consequences for patient outcome disparities of poorer nurse staffing in Black-serving hospitals deserve investigation. Policies to increase nurse staffing in hospitals serving a higher proportion of patients of Black race are needed to contribute to efforts to reduce health disparities.

Methodology for Analyzing Qualitative Data in Multiple Languages

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.