Enhancing Clinical Content and Race/Ethnicity Data in Statewide Hospital Administrative Databases: Obstacles Encountered, Strategies Adopted, and Lessons Learned

Pregnancy health in a multi-state U.S. population of systemically underserved patients and their children: PROMISE cohort design and baseline characteristics

BACKGROUND

Gestational weight gain (GWG) is a routinely monitored aspect of pregnancy health, yet critical gaps remain about optimal GWG in pregnant people from socially marginalized groups, or with pre-pregnancy body mass index (BMI) in the lower or upper extremes. The PROMISE study aims to determine overall and trimester-specific GWG associated with the lowest risk of adverse birth outcomes and detrimental infant and child growth in these underrepresented subgroups. This paper presents methods used to construct the PROMISE cohort using electronic health record data from a network of community-based healthcare organizations and characterize the cohort with respect to baseline characteristics, longitudinal data availability, and GWG.

METHODS

We developed an algorithm to identify and date pregnancies based on outpatient clinical data for patients 15 years or older. The cohort included pregnancies delivered in 2005-2020 with gestational age between 20 weeks, 0 days and 42 weeks, 6 days; and with known height and adequate weight measures needed to examine GWG patterns. We linked offspring data from birth records and clinical records. We defined study variables with attention to timing relative to pregnancy and clinical data collection processes. Descriptive analyses characterize the sociodemographic, baseline, and longitudinal data characteristics of the cohort, overall and within BMI categories.

RESULTS

The cohort includes 77,599 pregnancies: 53% had incomes below the federal poverty level, 82% had public insurance, and the largest race and ethnicity groups were Hispanic (56%), non-Hispanic White (23%) and non-Hispanic Black (12%). Pre-pregnancy BMI groups included 2% underweight, 34% normal weight, 31% overweight, and 19%, 8%, and 5% Class I, II, and III obesity. Longitudinal data enable the calculation of trimester-specific GWG; e.g., a median of 2, 4, and 6 valid weight measures were available in the first, second, and third trimesters, respectively. Weekly rate of GWG was 0.00, 0.46, and 0.51 kg per week in the first, second, and third trimesters; differences in GWG between BMI groups were greatest in the second trimester.

CONCLUSIONS

The PROMISE cohort enables characterization of GWG patterns and estimation of effects on child growth in underrepresented subgroups, ultimately improving the representativeness of GWG evidence and corresponding guidelines.

Problems and Barriers during the Process of Clinical Coding: a Focus Group Study of Coders' Perceptions

Coded data are the basis of information systems in all countries that rely on Diagnosis Related Groups in order to reimburse/finance hospitals, including both administrative and clinical data. To identify the problems and barriers that affect the quality of the coded data is paramount to improve data quality as well as to enhance its usability and outcomes. This study aims to explore problems and possible solutions associated with the clinical coding process. Problems were identified according to the perspective of ten medical coders, as the result of four focus groups sessions. This convenience sample was sourced from four public hospitals in Portugal. Questions relating to problems with the coding process were developed from the literature and authors' expertise. Focus groups sessions were taped, transcribed and analyzed to elicit themes. Variability in the documents used for coding, illegibility of hand writing when coding on paper, increase of errors due to an extra actor in the coding process when transcribed from paper, difficulties in the diagnoses' coding, coding delay and unavailability of resources and tools designed to help coders, were some of the problems identified. Some problems were identified and solutions such as the standardization of the documents used for coding an episode, the adoption of the electronic coding, the development of tools to help coding and audits, and the recognition of the importance of coding by the management were described as relevant factors for the improvement of the quality of data.

Survival and healthcare utilization of infants diagnosed with lethal congenital malformations

OBJECTIVE

We assessed survival, hospital length of stay (LOS), and costs of medical care for infants with lethal congenital malformations, and also examined the relationship between medical and surgical therapies and survival.

STUDY DESIGN

Retrospective cohort study including infants born 1998-2009 with lethal congenital malformations, identified using a longitudinally linked maternal/infant database.

RESULTS

The cohort included 786 infants: trisomy 18 (T18, n = 350), trisomy 13 (T13, n = 206), anencephaly (n = 125), bilateral renal agenesis (n = 53), thanatophoric dysplasia/achondrogenesis/lethal osteogenesis imperfecta (n = 38), and infants > 1 of the birth defects (n = 14). Compared to infants without birth defects, infants with T18, T13, bilateral renal agenesis, and skeletal dysplasias had longer survival rates, higher inpatient medical costs, and longer LOS.

CONCLUSION

Care practices and survival have changed over time for infants with T18, T13, bilateral renal agenesis, and skeletal dysplasias. This information will be useful for clinicians in counseling families and in shaping goals of care prenatally and postnatally.

Racial and Ethnic Disparities in Treatment Outcomes of Patients with Ruptured or Unruptured Intracranial Aneurysms

OBJECTIVE

The aim of this study is to examine how health outcomes varied by treatment selection and race/ethnicity among hospitalized US patients with ruptured or unruptured IAs.

METHODS

A retrospective cohort study was conducted using a sample of 62,224 hospital discharges from the 2002-2012 Nationwide Inpatient Sample. Logistic regression models evaluated treatment selection as predictor of in-hospital survival (IHS: "yes," "no") and length of stay (LOS ≤ 7 days, > 7 days), overall and across racial/ethnic groups, taking hospital- and patient-level confounders into account, while stratifying by IA rupture status.

RESULTS

Compared to surgical clipping, endovascular coiling was associated with better IHS, after controlling for confounders. Compared to surgical clipping, LOS ≤ 7 days was less likely in patients with combination of treatments and more likely among patients with endovascular coiling as well as balloon- or stent-assisted coiling. Observed relationships varied significantly by race and ethnicity for IHS, but not for LOS ≤ 7 days. Whereas combination of treatments were associated with worse IHS than surgical clipping among Blacks alone, endovascular coiling was associated with better IHS than surgical clipping among White and Other racial/ethnic subgroups. These relationships were for the most part consistent among patients with and without IA rupture.

CONCLUSIONS

Racial and ethnic subgroups of IA patients experienced differential IHS by treatment selection, irrespective of IA rupture status. Prospective cohort studies are needed to further elucidate these racial and ethnic disparities, while collecting data on IA size, location, and morphology as well as Hunt and Hess grade for ruptured IA.

Does adding clinical data to administrative data improve agreement among hospital quality measures?

BACKGROUND

Hospital performance measures based on patient mortality and readmission have indicated modest rates of agreement. We examined if combining clinical data on laboratory tests and vital signs with administrative data leads to improved agreement with each other, and with other measures of hospital performance in the nation's largest integrated health care system.

METHODS

We used patient-level administrative and clinical data, and hospital-level data on quality indicators, for 2007-2010 from the Veterans Health Administration (VA). For patients admitted for acute myocardial infarction (AMI), heart failure (HF) and pneumonia we examined changes in hospital performance on 30-d mortality and 30-d readmission rates as a result of adding clinical data to administrative data. We evaluated whether this enhancement yielded improved measures of hospital quality, based on concordance with other hospital quality indicators.

RESULTS

For 30-d mortality, data enhancement improved model performance, and significantly changed hospital performance profiles; for 30-d readmission, the impact was modest. Concordance between enhanced measures of both outcomes, and with other hospital quality measures - including Joint Commission process measures, VA Surgical Quality Improvement Program (VASQIP) mortality and morbidity, and case volume - remained poor.

CONCLUSIONS

Adding laboratory tests and vital signs to measure hospital performance on mortality and readmission did not improve the poor rates of agreement across hospital quality indicators in the VA.

INTERPRETATION

Efforts to improve risk adjustment models should continue; however, evidence of validation should precede their use as reliable measures of quality.

Pregnancy as a window to future health: maternal placental syndromes and short-term cardiovascular outcomes

BACKGROUND

Cardiovascular disease is the leading cause of death among women. Identifying risk factors for future cardiovascular disease may lead to earlier lifestyle modifications and disease prevention. Additionally, interpregnancy development of cardiovascular disease can lead to increased perinatal morbidity in subsequent pregnancies. Identification and implementation of interventions in the short term (within 5 years of first pregnancy) may decrease morbidity in subsequent pregnancies.

OBJECTIVE

We identified the short-term risk (within 5 years of first pregnancy) of cardiovascular disease among women who experienced a maternal placental syndrome, as well as preterm birth and/or delivered a small-for-gestational-age infant.

STUDY DESIGN

We conducted a retrospective cohort study using a population-based, clinically enhanced database of women in the state of Florida. Nulliparous women and girls aged 15-49 years experiencing their first delivery during the study time period with no prepregnancy history of diabetes mellitus, hypertension, or heart or renal disease were included in the study. The risk of subsequent cardiovascular disease was compared among women who did and did not experience a placental syndrome during their first pregnancy. Risk was then reassessed among women with placental syndrome and preterm birth or delivering a small-for-gestational-age infant vs those without these adverse pregnancy outcomes.

RESULTS

The final study population was 302,686 women and girls. Median follow-up time for each patient was 4.9 years. The unadjusted rate of subsequent cardiovascular disease among women and girls with any placental syndrome (11.8 per 1000 women) was 39% higher than the rate among women and girls without a placental syndrome (8.5 per 1000 women). Even after adjusting for sociodemographic factors, preexisting conditions, and clinical and behavioral conditions associated with the current pregnancy, women and girls with any placental syndrome experienced a 19% increased risk of cardiovascular disease (hazard ratio, 1.19; 95% confidence interval, 1.07-1.32). Women and girls with >1 placental syndrome had the highest cardiovascular disease risk (hazard ratio, 1.43; 95% confidence interval, 1.20-1.70), followed by those with eclampsia/preeclampsia alone (hazard ratio, 1.42; 95% confidence interval, 1.14-1.76). When placental syndrome was combined with preterm birth and/or small for gestational age, the adjusted risk of cardiovascular disease increased 45% (95% confidence interval, 1.24-1.71). Women and girls with placental syndrome who then developed cardiovascular disease experienced a 5-fold increase in health care-related costs during follow-up, compared to those who did not develop cardiovascular disease.

CONCLUSION

Women and girls experiencing placental syndromes and preterm birth or small-for-gestational-age infant are at increased risk of subsequent cardiovascular disease in short-term follow-up. Strategies to identify and improve cardiovascular disease risk in the postpartum period may improve future heart disease outcomes.

Statewide Hospital Discharge Data: Collection, Use, Limitations, and Improvements

OBJECTIVES

To provide an overview of statewide hospital discharge databases (HDD), including their uses in health services research and limitations, and to describe Agency for Healthcare Research and Quality (AHRQ) Enhanced State Data grants to address clinical and race-ethnicity data limitations.

PRINCIPAL FINDINGS

Almost all states have statewide HDD collected by public or private data organizations. Statewide HDD, based on the hospital claim with state variations, contain useful core variables and require minimal collection burden. AHRQ's Healthcare Cost and Utilization Project builds uniform state and national research files using statewide HDD. States, hospitals, and researchers use statewide HDD for many purposes. Illustrating researchers' use, during 2012-2014, HSR published 26 HDD-based articles on health policy, access, quality, clinical aspects of care, race-ethnicity and insurance impacts, economics, financing, and research methods. HDD have limitations affecting their use. Five AHRQ grants focused on enhancing clinical data and three grants aimed at improving race-ethnicity data.

CONCLUSION

ICD-10 implementation will significantly affect the HDD. The AHRQ grants, information technology advances, payment policy changes, and the need for outpatient information may stimulate other statewide HDD changes. To remain a mainstay of health services research, statewide HDD need to keep pace with changing user needs while minimizing collection burdens.