Investigating disparities in compliance of nursing pain reassessment for obstetrics and gynecology patients.

BACKGROUND

Racial and socioeconomic disparities, exacerbated during the COVID-19 pandemic and surrounding socio-political polarization, affect access to, delivery of, and patient perception of healthcare. Perioperatively, the bedside nurse carries the greatest responsibility of direct care, which includes pain reassessment, a metric tracked for compliance.

OBJECTIVE

This study aimed to critically assess disparities in obstetrics and gynecology perioperative care and how these have changed since March 2020 using nursing pain reassessment compliance within a quality improvement framework.

STUDY DESIGN

A retrospective cohort of 76,984 pain reassessment encounters from 10,774 obstetrics and gynecology patients at a large, academic hospital from September 2017 to March 2021 was obtained from Tableau: Quality, Safety and Risk Prevention platform. Noncompliance proportions were analyzed by patient race across service lines; a sensitivity analysis was performed excluding patients who were of neither Black nor White race. Secondary outcomes included analysis by patient ethnicity, body mass index, age, language, procedure, and insurance. Additional analyses were performed by temporally stratifying patients into pre- and post-March 2020 cohorts to investigate potential pandemic and sociopolitical effects on healthcare disparities. Continuous variables were assessed with Wilcoxon rank test, categorical variables were assessed with chi-squared test, and multivariable logistic regression analyses were performed (P<.05).

RESULTS

Noncompliance proportions of pain reassessment did not differ significantly between Black and White patients as an aggregate of all obstetrics and gynecology patients (8.1% vs 8.2%), but greater differences were found within the divisions of Benign Subspecialty Gynecologic Surgery (Minimally Invasive Gynecologic Surgery + Urogynecology) (14.9% vs 10.70%; P=.03) and Maternal Fetal Medicine (9.5% vs 8.3%; P=.04). Black patients admitted to Gynecologic Oncology experienced lower noncompliance proportions than White patients (5.6% vs 10.4%; P<.01). These differences persisted after adjustment for body mass index, age, insurance, timeline, procedure type, and number of nurses attending to each patient with multivariable analyses. Noncompliance proportions were higher for patients with body mass index ≥35 kg/m within Benign Subspecialty Gynecology (17.9% vs 10.4%; P<.01). Non-Hispanic/Latino patients (P=.03), those ≥65 years (P<.01), those with Medicare (P<.01), and those who underwent hysterectomy (P<.01) also experienced greater noncompliance proportions. Aggregate noncompliance proportions differed slightly pre- and post-March 2020; this trend was seen across all service lines except Midwifery and was significant for Benign Subspecialty Gynecology after multivariable analysis (odds ratio, 1.41; 95% confidence interval, 1.02-1.93; P=.04). Though increases in noncompliance proportions were seen for non-White patients after March 2020, this was not statistically significant.

CONCLUSION

Significant race, ethnicity, age, procedure, and body mass index-based disparities were identified in the delivery of perioperative bedside care, especially for those admitted to Benign Subspecialty Gynecologic Services. Conversely, Black patients admitted to Gynecologic Oncology experienced lower levels of nursing noncompliance. This may be in part be related to the actions of a Gynecologic Oncology nurse practioner at our institution who helps coordinate care for the division's postoperative patients. Noncompliance proportions increased after March 2020 within Benign Subspecialty Gynecologic Services. Although this study was not designed to establish causation, possible contributing factors include implicit or explicit biases regarding pain experience across race, body mass index, age, or surgical indication, discrepancies in pain management across hospital units, and downstream effects of healthcare worker burnout, understaffing, increased use of travelers, or sociopolitical polarization since March 2020. This study demonstrates the need for ongoing investigation of healthcare disparities at all interfaces of patient care and provides a way forward for tangible improvement of patient-directed outcomes by utilizing an actionable metric within a quality improvement framework.