Navigating geographical disparities: access to obstetric hospitals in maternity care deserts and across the United States.

BACKGROUND: Access to maternity care in the U.S. remains inequitable, impacting over two million women in maternity care "deserts." Living in these areas, exacerbated by hospital closures and workforce shortages, heightens the risks of pregnancy-related complications, particularly in rural regions. This study investigates travel distances and time to obstetric hospitals, emphasizing disparities faced by those in maternity care deserts and rural areas, while also exploring variances across races and ethnicities. METHODS: The research adopted a retrospective secondary data analysis, utilizing the American Hospital Association and Centers for Medicaid and Medicare Provider of Services Files to classify obstetric hospitals. The study population included census tract estimates of birthing individuals sourced from the U.S. Census Bureau's 2017-2021 American Community Survey. Using ArcGIS Pro Network Analyst, drive time and distance calculations to the nearest obstetric hospital were conducted. Furthermore, Hot Spot Analysis was employed to identify areas displaying significant spatial clusters of high and low travel distances. RESULTS: The mean travel distance and time to the nearest obstetric facility was 8.3 miles and 14.1 minutes. The mean travel distance for maternity care deserts and rural counties was 28.1 and 17.3 miles, respectively. While birthing people living in rural maternity care deserts had the highest average travel distance overall (33.4 miles), those living in urban maternity care deserts also experienced inequities in travel distance (25.0 miles). States with hotspots indicating significantly higher travel distances included: Montana, North Dakota, South Dakota, and Nebraska. Census tracts where the predominant race is American Indian/Alaska Native (AIAN) had the highest travel distance and time compared to those of all other predominant races/ethnicities. CONCLUSIONS: Our study revealed significant disparities in obstetric hospital access, especially affecting birthing individuals in maternity care deserts, rural counties, and communities predominantly composed of AIAN individuals, resulting in extended travel distances and times. To rectify these inequities, sustained investment in the obstetric workforce and implementation of innovative programs are imperative, specifically targeting improved access in maternity care deserts as a priority area within healthcare policy and practice.

Bias in Self-reported Prepregnancy Weight Across Maternal and Clinical Characteristics.

OBJECTIVES: Prepregnancy body mass index (BMI) and gestational weight gain (GWG) are known determinants of maternal and child health; calculating both requires an accurate measure of prepregnancy weight. We compared self-reported prepregnancy weight to measured weights to assess reporting bias by maternal and clinical characteristics. METHODS: We conducted a retrospective cohort study among pregnant women using electronic health records (EHR) data from Kaiser Permanente Northwest, a non-profit integrated health care system in Oregon and southwest Washington State. We identified women age ≥ 18 years who were pregnant between 2000 and 2010 with self-reported prepregnancy weight, ≥ 2 measured weights between ≤ 365-days-prior-to and ≤ 42-days-after conception, and measured height in their EHR. We compared absolute and relative difference between self-reported weight and two "gold-standards": (1) weight measured closest to conception, and (2) usual weight (mean of weights measured 6-months-prior-to and ≤ 42-days-after conception). Generalized-estimating equations were used to assess predictors of misreport controlling for covariates, which were obtained from the EHR or linkage to birth certificate. RESULTS: Among the 16,227 included pregnancies, close agreement (± 1 kg or ≤ 2%) between self-reported and closest-measured weight was 44% and 59%, respectively. Overall, self-reported weight averaged 1.3 kg (SD 3.8) less than measured weight. Underreporting was higher among women with elevated BMI category, late prenatal care entry, and pregnancy outcome other than live/stillbirth (p < .05). Using self-reported weight, BMI was correctly classified for 91% of pregnancies, but ranged from 70 to 98% among those with underweight or obesity, respectively. Results were similar using usual weight as gold standard. CONCLUSIONS FOR PRACTICE: Accurate measure of prepregnancy weight is essential for clinical guidance and surveillance efforts that monitor maternal health and evaluate public-health programs. Identification of characteristics associated with misreport of self-reported weight can inform understanding of bias when assessing the influence of prepregnancy BMI or GWG on health outcomes.

Improving management of the genitourinary syndrome of menopause: evaluation of a health system-based, cluster-randomized intervention.

BACKGROUND: Genitourinary symptoms are common in postmenopausal women and adversely affect the quality of life. National surveys and data collected from our healthcare system indicate that postmenopausal women with the genitourinary syndrome of menopause often fail to receive appropriate diagnosis or treatment. OBJECTIVE: To promote greater detection and treatment of the genitourinary syndrome of menopause, we created and tested a clinician-focused health system intervention that included clinician education sessions and a suite of evidence-based electronic health record tools. STUDY DESIGN: Using a cluster-randomized design, we allocated primary care (16) and gynecology (6) clinics to the intervention or control group. From September to November 2014, we provided training about the diagnosis and treatment of genitourinary syndrome of menopause in face-to-face presentations at each intervention clinic and in an online video. We developed clinical decision support tools in the electronic health record that contained an evidence-based, point-of-care knowledge resource, a standardized order set, and a checklist of patient education materials for the patient's after visit summary. The tools aimed to facilitate accurate diagnostic coding and prescribing (SmartSet, SmartRx) along with relevant patient information (SmartText). Clinicians who only performed visits at control clinics received no training or notification about the tools. Our primary outcome was vulvovaginal diagnoses made at well visits for women at the age of 55 years and older from November 15, 2014 to November 15, 2015. We also assessed urinary diagnoses, vaginal estrogen prescriptions, and use of the electronic tools. There was departmental support for the intervention but no prioritization within the healthcare system to incentivize change. RESULTS: In the 1-year period, 386 clinicians performed 14,921 well visits for women at the age of 55 years and older. Among the 190 clinicians who performed well visits in the intervention clinics, 109 (57.4%) completed either in-person or online educational training. The proportion of visits that included a vulvovaginal (7.2% vs 5.8%; odds ratio, 1.27; 95% confidence interval, 0.65-2.51) or urinary diagnosis (2.5% vs 3.1%; odds ratio, 0.79; 95% confidence interval, 0.55-1.13) or vaginal estrogen prescription (4.5% vs 3.7%; odds ratio, 1.24; 95% confidence interval, 0.63-2.46) did not differ between study arms. There was a significant interaction for primary care and gynecology, which revealed more vulvovaginal diagnoses by gynecology but not primary care intervention clinics (odds ratio, 1.63; 95% confidence interval, 1.15-2.31), but there was no significant interaction for prescriptions. Clinicians in the intervention clinics were more likely to use decision support tools than those in control clinics-SmartSet (22.2% vs 1.5%; odds ratio, 18.8; 95% confidence interval, 5.5-63.8) and SmartText for patient information (38.0% vs 24.4%; odds ratio, 1.91; 95% confidence interval, 1.10-3.34). A per-protocol analysis revealed similar findings. CONCLUSION: Overall, the intervention did not lead to more diagnoses or prescription therapy for postmenopausal genitourinary symptoms but did result in greater distribution of patient information. Gynecology clinicians were more likely to address genitourinary symptoms generally and were more likely to make a vulvovaginal diagnosis after the intervention. Further efforts for improving care should consider ongoing clinician education beginning with enhanced menopause curricula in residency training. Additional interventions to consider include greater access for postmenopausal women to gynecologic care, addressing treatment barriers, and development of national performance metrics.

Education and employment outcomes in clients of the Nurse-Family Partnership.

OBJECTIVES: Nurse-Family Partnership (NFP) is an evidence-based home visitation program designed for low-income, first-time mothers to support pregnancy, child development, and maternal self-sufficiency. This study examined educational and employment outcomes among NFP clients compared to a reference sample. DESIGN: Entropy balancing and a difference-in-difference design were used to compare the two samples of women from 2007 to 2016. SAMPLE: There were 127,427 women in the NFP sample, and 787 women in the reference cohort. MEASUREMENTS: Educational outcomes included high school completion and employment outcomes consisted of employment status. RESULTS: Across a one-year interval, NFP mothers with less than a high school diploma or general education diploma (GED) at baseline showed a 9.5 percentage point increase in diploma or GED attainment compared to the reference mothers [95% CI: 0.015-0.180]. Similarly, mothers enrolled in NFP who were not employed at baseline showed a 7.8 percentage point increase in employment compared to the reference mothers [95% CI: 0.003-0.150]. CONCLUSIONS: The findings in this study show positive results for NFP mothers attaining high school completion and employment compared to mothers in the reference group. Such findings are of importance with regard to progression toward economic self-sufficiency and corresponding reduction of health disparities.

Correlates of Benzodiazepine Use and Adverse Outcomes Among Patients with Chronic Pain Prescribed Long-term Opioid Therapy.

OBJECTIVE: To examine the correlates and odds of receiving overlapping benzodiazepine and opioid prescriptions and whether co-prescription was associated with greater odds of falling or visiting the emergency department. DESIGN: Cross-sectional study. SETTING: A large private integrated health system and a Veterans Health Administration integrated health system. SUBJECTS: Five hundred seventeen adults with musculoskeletal pain and current prescriptions for long-term opioid therapy. METHODS: A multivariate logistic regression model examined correlates of having overlapping benzodiazepine and opioid prescriptions in the year before enrollment in the cross-sectional study. Negative binomial models analyzed the number of falls in the past three months and past-year emergency department visits. In addition to propensity score adjustment, models controlled for demographic characteristics, psychiatric diagnoses, medications, overall comorbidity score, and opioid morphine equivalent dose. RESULTS: Twenty-five percent (N = 127) of participants had co-occurring benzodiazepine and opioid prescriptions in the prior year. Odds of receiving a benzodiazepine prescription were significantly higher among patients with the following psychiatric diagnoses: anxiety disorder (adjusted odds ratio [AOR] = 4.71, 95% confidence interval [CI] = 2.67-8.32, P < 0.001), post-traumatic stress disorder (AOR = 2.24, 95% CI = 1.14-4.38, P = 0.019), and bipolar disorder (AOR = 3.82, 95% CI = 1.49-9.81, P = 0.005). Past-year overlapping benzodiazepine and opioid prescriptions were associated with adverse outcomes, including a greater number of falls (risk ratio [RR] = 3.27, 95% CI = 1.77-6.02, P = 0.001) and emergency department visits (RR = 1.66, 95% CI = 1.08-2.53, P = 0.0194). CONCLUSIONS: Among patients with chronic pain prescribed long-term opioid therapy, one-quarter of patients had co-occurring prescriptions for benzodiazepines, and dual use was associated with increased odds of falls and emergency department visits.

Clinician knowledge, attitudes, and barriers to management of vulvovaginal atrophy: variations in primary care and gynecology.

OBJECTIVE: Vulvovaginal atrophy is a common, but under-recognized condition affecting postmenopausal women. To guide development of an intervention to boost its detection and treatment, we surveyed primary care and gynecology clinicians practicing in an integrated healthcare system. METHODS: We constructed a three-part survey that contained (1) eight multiple-choice knowledge questions; (2) three Likert-scale questions regarding clinicians' likelihood of assessing for vulvovaginal atrophy symptoms at a routine (well) visit, confidence in advising patients about symptoms and counseling about therapy; and (3) a 12-item check list of potential barriers to diagnosis and treatment. Analyses were performed using multiple regression. RESULTS: Of the 360 clinicians who were sent an e-mail request, 119 (90 primary care, 29 gynecology) completed the survey (33%). Responders and nonresponders did not differ by age, specialty, or clinician type. The proportion with correct responses to knowledge questions differed between primary care (63%) and gynecology (77%) (adjusted mean difference [AMD] =16, 95% CI [10-22]). Primary care clinicians were less likely than gynecology clinicians to assess for symptoms (AMD = 1.04, 95% CI [0.55-1.52]), and were less confident about their ability to advise on symptoms (AMD = 0.66, 95% CI [0.33-0.99]) and to counsel patients about treatment (AMD = 0.76, 95% CI [0.42-1.10]). Lack of time (71%) and educational materials (44%) were the most common barriers to diagnosis and treatment. CONCLUSIONS: Primary care and gynecology clinicians differ in their knowledge and confidence in managing vulvovaginal atrophy but report similar practice barriers. Addressing identified knowledge deficits and practice barriers may lead to improved management of vulvovaginal atrophy.

Decrease in unnecessary vitamin D testing using clinical decision support tools: making it harder to do the wrong thing.

OBJECTIVE: To evaluate the impact of clinical decision support (CDS) tools on rates of vitamin D testing. Screening for vitamin D deficiency has increased in recent years, spurred by studies suggesting vitamin D's clinical benefits. Such screening, however, is often unsupported by evidence and can incur unnecessary costs. MATERIALS AND METHODS: We evaluated how rates of vitamin D screening changed after we implemented 3 CDS tools in the electronic health record (EHR) of a large health plan: (1) a new vitamin D screening guideline, (2) an alert that requires clinician acknowledgement of current guidelines to continue ordering the test (a "hard stop"), and (3) a modification of laboratory ordering preference lists that eliminates shortcuts. We assessed rates of overall vitamin D screening and appropriate vitamin D screening 6 months pre- and post-intervention. RESULTS: Vitamin D screening rates decreased from 74.0 tests to 24.2 tests per 1000 members ( P < .0001). The proportion of appropriate vitamin D screening tests increased from 56.2% to 69.7% ( P < .0001), and the proportion of inappropriate screening tests decreased from 43.8% pre-implementation to 30.3% post-implementation ( P < .0001). DISCUSSION: To our knowledge, this is the first demonstration of how CDS can reduce rates of inappropriate vitamin D screening. We used 3 straightforward, inexpensive, and replicable CDS approaches. We know of no previous research on the impact of removing options from a preference list. CONCLUSION: Similar approaches could be used to reduce unnecessary care and decrease costs without reducing quality of care.