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

Challenges to reliable ICD-10 coding of child maltreatment: A qualitative interview study of healthcare professionals in German and Swedish hospitals

BACKGROUND

Child maltreatment (CM) is a major public health issue. Data collection, analysis, and reporting are widely recognized as key components in developing policies and programs aimed at preventing child maltreatment. Unfortunately, CM is significantly under-coded by healthcare professionals (HCPs) in hospitals. Due to a lack of studies, causes of this under-coding are not fully understood.

OBJECTIVE

The aim was to identify and understand challenging factors leading to under-coding of CM in hospitals in Germany and Sweden.

PARTICIPANTS AND SETTING

The sample includes 28 HCPs from different professional groups involved in coding-process: pediatricians (n = 14), child psychiatrists (n = 6), pediatric surgeons (n = 4), medical coding professionals (n = 3), and child protection coordinators (n = 1). Nineteen identified as female and 9 as male; age ranged from 24 to 65.

METHODS

The transcripts of the semi-structured interviews have been coded and analyzed using the thematic analysis approach of Braun & Clarke.

RESULTS

In this study, four major themes were identified influencing child maltreatment coding practices on multiple levels. (1) The Impact of Systemic Frameworks, describing systemic factors, such as legal requirements and lack of mandatory education; (2) The Role of Organizational Culture and Structures, describing attitude of the clinic, transparency, and shortcomings in quality control; (3) Interpersonal Dynamics of Multidisciplinary Cooperation and Communication; and (4) Intrapersonal Barriers: Knowledge, Uncertainty, and Emotional Burdens.

CONCLUSION

Identified themes significantly influence HCPs coding practices. Addressing these multifaceted challenges requires comprehensive educational programs, improved organizational support, and systemic changes to counteract the under-coding of CM in hospitals.

[Coding of child abuse and neglect in hospitals in Germany: overview and classification of administrative data]

BACKGROUND

Child maltreatment is a significant problem in Germany. Hospital data on child maltreatment serve as a crucial foundation for planning effective prevention measures. These data enable an assessment of the extent to which at-risk children and adolescents are identified, supported, and protected. A systematic evaluation and classification of all hospital data relevant to child maltreatment in Germany is still lacking. Therefore, the aim of this article is to gain an overview of the data in this field and thus bridge the gap.

METHODS

Descriptive analyses of (partially) inpatient data on child abuse and neglect (secondary diagnosis in ICD-10: T74.0, T74.1, T74.2, T74.3, T74.8, T74.9) + (procedure OPS: 1‑945.0, 1‑945.1) from the 2019-2023 data collection period. The variables age, gender, and main diagnoses relevant to maltreatment are considered in each case. The data were analyzed via the publicly accessible data browser of the Institute for the Hospital Remuneration System (InEK).

RESULTS

The number of diagnosed cases of child maltreatment of (partially) inpatients is detached from prevalence rates in the population; in consequence, there is a significant underreporting of all forms of maltreatment, with boys and girls being recognized differently for different forms of maltreatment. In addition, the frequent lack of a link between child maltreatment-related diagnoses and procedures performed becomes apparent.

CONCLUSION

In addition to raising awareness, training, and further education of healthcare professionals, there is also a need for investment in political change.

Risk factors associated with 1-year mortality after osteoporotic hip fracture in Hawai'i: higher mortality risk among Native Hawaiians and other Pacific Islanders

We studied factors affecting osteoporotic hip fracture mortality in Hawai'i, a region with unique geography and racial composition. Men, older adults, higher ASA score, lower BMI, and NHPI race were associated with higher mortality. This is the first study demonstrating increased mortality risk after hip fracture in NHPI patients.

PURPOSE

To estimate mortality rates and identify specific risk factors associated with 1-year mortality after osteoporotic hip fracture in Hawai'i.

METHODS

A retrospective review of adults (≥ 50 years) hospitalized with an osteoporotic hip fracture at a large multicenter healthcare system in Hawai'i from 2011 to 2019. The Kaplan-Meier curves and log-rank tests examined survival probability by sex, age group, race/ethnicity, primary insurance, body mass index (BMI), and American Society of Anesthesiologists (ASA) physical status classification. After accounting for potential confounders, adjusted hazard ratios (aHR) and 95% confidence intervals (CI) were obtained from Cox proportional hazards regression models.

RESULTS

We identified 1755 cases of osteoporotic hip fracture. The cumulative mortality rate 1 year after fracture was 14.4%. Older age (aHR 3.50; 95% CI 2.13-5.76 for ≥ 90 vs 50-69), higher ASA score (aHR 5.21; 95% CI 3.09-8.77 for ASA 4-5 vs 1-2), and Native Hawaiian/Pacific Islander (NHPI) race (aHR 1.84; 95% CI 1.10-3.07 vs. White) were independently associated with higher mortality risk. Female sex (aHR 0.64; 95% CI 0.49-0.84 vs male sex) and higher BMI (aHR 0.35; 95% CI 0.18-0.68 for obese vs underweight) were associated with lower mortality risk.

CONCLUSION

In our study, men, older adults, higher ASA score, lower BMI, and NHPI race were associated with significantly higher mortality risk after osteoporotic hip fracture. NHPIs are an especially vulnerable group and comprise a significant portion of Hawai'i's population. Further research is needed to address the causes of higher mortality and interventions to reduce hip fractures and associated mortality.

The association between prenatal psychosocial factors and autism spectrum disorder in offspring at 3 years: a prospective cohort study

PURPOSE

Few studies of risk factors for autism spectrum disorder (ASD) have been prospective in design or investigated the role of psychosocial factors measured during pregnancy. We aimed to investigate associations between prenatal psychosocial factors and risk of ASD in offspring, as part of a multicenter prospective cohort study of more than 2000 mother-child pairs.

METHODS

Nulliparous women aged 18-35 years, living in Pennsylvania, USA, were interviewed during pregnancy and multiple times postpartum over the course of a 3-year period. There were 2388 mothers who completed the Screen for Social Interaction Toddler Version (SSI-T), a measure of risk of ASD, when their child was 3-years old. Multivariable logistic regression models were used to investigate the associations between prenatal psychosocial factors-including total scores on three scales (social-support, stress and depression), trouble paying for basic needs, mental illness diagnosis and use of antidepressants-and risk of ASD in offspring at the age of 3-years, controlling for relevant confounding variables.

RESULTS

There were 102 children (4.3%) who were scored as at-risk of ASD at 3-years. Prenatal psychosocial factors that were significantly associated with risk of ASD in the adjusted models were lower social-support (p < 0.001); stress (p = 0.003): depression (< 0.001), trouble paying for basic needs (p = 0.012), mental illness diagnosis (p = 0.016), and use of antidepressants (p < 0.001).

CONCLUSION

These findings suggest that maternal experience of adverse psychosocial factors during pregnancy may be important intrauterine exposures related to the pathogenesis of ASD.

Changes in use and hospital outcomes of bariatric surgery in Spain (2016-2022): analysis of the role of type 2 diabetes using propensity score matching

INTRODUCTION

The objectives of this study were to examine temporal trends in the incidence of bariatric surgery (Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG)) in patients with and without type 2 diabetes mellitus (T2DM). Outcomes of hospitalization and the impact of T2DM on these outcomes were also analyzed.

RESEARCH DESIGN AND METHODS

We performed an observational study with the Spanish national hospital discharge database. Obese patients with and without T2DM who underwent RYGB and SG between 2016 and 2022 were identified. Propensity score matching (PSM) and logistic regression were used to compare patients with and without T2DM and to evaluate the effect of T2DM and other variables on outcomes of surgery. A variable "severity" was created to cover patients who died in hospital or were admitted to the intensive care unit (ICU).

RESULTS

A total of 32,176 bariatric surgery interventions were performed (28.86% with T2DM). 31.57% of RYGBs and 25.53% of SG patients had T2DM. The incidence of RYGB and SG increased significantly between 2016 and 2022 (p<0.001), with a higher incidence in those with T2DM than in those without (incidence rate ratio 4.07 (95% CI 3.95 to 4.20) for RYGB and 3.02 (95% CI 2.92 to 3.14) for SG). In patients who underwent SG, admission to the ICU and severity were significantly more frequent in patients with T2DM than in those without (both p<0.001). In the multivariate analysis, having T2DM was associated with more frequent severity in those who received SG (OR 1.23; 95% CI 1.07 to 1.42).

CONCLUSIONS

Between 2016 and 2022, bariatric surgery procedures performed in Spain increased in patients with and without T2DM. More interventions were performed on patients with T2DM than on patients without T2DM. RYGB was the most common procedure in patients with T2DM. The presence of T2DM was associated with more severity after SG.

Variability in Occult Injury Screening Among Siblings/Household Contacts of Physical Abuse Victims

OBJECTIVE

The objective of this study is to examine radiologic occult injury screening performance/yield among contacts presenting for precautionary medical assessments and assess factors associated with deferred screening.

METHODS

Data were collected retrospectively from charts of contacts younger than 8 years presenting for precautionary evaluation to a level 1 pediatric emergency department January 1, 2018 to March 31, 2023. Demographics, radiologic performance/yield, physical examination, social work-based psychosocial assessment, reasons for deferred imaging, and diagnostic codes were abstracted. Descriptive statistics and χ 2 analysis are reported.

RESULTS

Three hundred ninety contacts were identified; 364 (93.3%) were biological siblings. Most (276, 70.8%) were 2 to 8 years old. Statistically significant relationships were identified with age, insurance, and hospital social work assessment and screening. Thirty-four infants (54%) underwent neuroimaging; no studies were abnormal. Of 114 contacts, <2 years old, 97 (85%) underwent skeletal survey (SS); 9 (9%) SS were abnormal. Twenty-seven (24%) returned for follow-up SS; 4 (14.8%) were abnormal. For 2 contacts, an abnormal initial SS was refuted by follow-up imaging. Physical examinations were abnormal for 11% of contacts. Reasons for deferred imaging included contact well appearance, caregiver concerns, and clinician disagreement with indications. Encounter International Classification of Diseases codes varied, commonly reflecting nonspecific screening assessments.

CONCLUSIONS

Despite national clinical practice guidelines, studies of abusive injury prevalence and radiologic yield among at-risk contacts exposed to unsafe environments are few. Screening evaluations inclusive of physical examination and radiologic studies identify abuse concerns among at-risk contacts. Further study of factors impacting radiologic screening decisions is needed. Considerations to advance epidemiologic research include standardized diagnostic coding and prospective assessment of radiologic yield.

Person-centered hospital discharge data: Essential existing infrastructure to enhance public health surveillance of maternal substance use disorders in the midst of a national maternal overdose crisis

OBJECTIVES

As crises of drug-related maternal harms escalate, US public health surveillance capacity remains suboptimal for drug-related maternal morbidities. Most state hospital discharge databases (HDDs) are encounter-based, and thus limit ascertainment of morbidities to delivery visits and ignoring those occurring during the 21 months spanning pregnancy and postpartum year. This study analyzes data from a state that curates person-centered HDD to compare patterns of substance use disorder (SUD) diagnoses at delivery vs. the full 21 pregnancy/postpartum months, overall and by maternal social position.

METHODS

Among people who experienced an in-hospital birth in New York State between 9/1/2016 and 1/1/2018 (N = 330,872), we estimated SUD diagnosis (e.g., opioids, stimulants, benzodiazepines, cannabis) prevalence at delivery; across the full 9 months of pregnancy and 12 postpartum months; and by trimester and postpartum quarter. Risk ratio and risk difference estimated disparities by race/ethnicity, age, rurality, and payor.

RESULTS

The 21-month SUD prevalence rate per 100,000 was 2671 (95% CI 2616-2726), with 31% (29.5%-31.5%) missing SUD indication when ascertained at delivery only (1866; 95% CI 1820-1912). Quarterly rates followed a roughly J-shaped trajectory. Structurally marginalized individuals suffered the highest 21-month SUD prevalence (e.g., Black:White risk ratio=1.80 [CI:1.73-1.88]).

CONCLUSION

By spanning the full 21 months of pregnancy/postpartum, person-centered HDD reveal than the maternal SUD crisis is far greater than encounter-based delivery estimates had revealed. Generating person-centered HDD will improve efforts to tailor interventions to help people who use drugs survive while pregnant and postpartum, and eliminate inequities.

Disparities by Sex, Race, and Ethnicity in Use of Left Ventricular Assist Devices and Heart Transplants Among Patients With Heart Failure With Reduced Ejection Fraction

BACKGROUND

The extent to which sex, racial, and ethnic groups receive advanced heart therapies equitably is unclear. We estimated the population rate of left ventricular assist device (LVAD) and heart transplant (HT) use among (non-Hispanic) White, Hispanic, and (non-Hispanic) Black men and women who have heart failure with reduced ejection fraction (HFrEF).

METHODS AND RESULTS

We used a retrospective cohort design combining counts of LVAD and HT procedures from 19 state inpatient discharge databases from 2010 to 2018 with counts of adults with HFrEF. Our primary outcome measures were the number of LVAD and HT procedures per 1000 adults with HFrEF. The main exposures were sex, race, ethnicity, and age. We used Poisson regression models to estimate procedure rates adjusted for differences in age, sex, race, and ethnicity. In 2018, the estimated population of adults aged 35 to 84 years with HFrEF was 69 736, of whom 44% were women. Among men, the LVAD rate was 45.6, and the HT rate was 26.9. Relative to men, LVAD and HT rates were 72% and 62% lower among women (P<0.001). Relative to White men, LVAD and HT rates were 25% and 46% lower (P<0.001) among Black men. Among Hispanic men and women and Black women, LVAD and HT rates were similar (P>0.05) or higher (P<0.01) than among their White counterparts.

CONCLUSIONS

Among adults with HFrEF, the use of LVAD and HT is lower among women and Black men. Health systems and policymakers should identify and ameliorate sources of sex and racial inequities.

Assessing hospital differences in low-risk cesarean delivery metrics in Florida

BACKGROUND

Unnecessary cesarean deliveries lead to increased maternal and neonatal morbidities and mortalities. In 2020, Florida had a cesarean delivery rate of 35.9%, the third highest in the nation. An effective quality improvement strategy to reduce overall cesarean delivery rates is to decrease primary cesarean deliveries in low-risk births (nulliparous, term, singleton, vertex). Of note, 3 nationally accepted hospital measures of low-risk cesarean delivery rates include the nulliparous, term, singleton, vertex; Joint Commission; and Society for Maternal-Fetal Medicine metrics. Comparing metrics is necessary because accurate and timely measurement is essential to support multihospital quality improvement efforts to reduce low-risk cesarean delivery rates and improve the quality of maternal care.

OBJECTIVE

This study aimed to assess differences in hospital low-risk cesarean delivery rates in Florida using 5 different metrics of low-risk cesarean delivery rate based on (1) risk methodology, nulliparous, term, singleton, vertex; Joint Commission; and Society for Maternal-Fetal Medicine metrics, and (2) data source, linked birth certificate and hospital discharge records and hospital discharge records only.

STUDY DESIGN

This was a population-based study of live Florida births from 2016 to 2019 to compare 5 approaches to calculating low-risk cesarean delivery rates. Analyses were performed using linked birth certificate data and inpatient hospital discharge data. The 5 low-risk cesarean delivery measures were defined as follows: nulliparous, term, singleton, vertex birth certificate; Joint Commission-linked used Joint Commission exclusions; Society for Maternal-Fetal Medicine-linked used Society for Maternal-Fetal Medicine exclusions; Joint Commission hospital discharge with Joint Commission exclusions; and Society for Maternal-Fetal Medicine hospital discharge with Society for Maternal-Fetal Medicine exclusions. Nulliparous, term, singleton, vertex birth certificate was based on data from birth certificates and not using linked hospital discharge data. Designated as nulliparous, term, singleton, vertex, it does not exclude other high-risk conditions. The second and third measures (Joint Commission-linked used Joint Commission exclusions and Society for Maternal-Fetal Medicine-linked used Society for Maternal-Fetal Medicine exclusions) use data elements from the full-linked dataset to designate nulliparous, term, singleton, vertex and excluded several high-risk conditions. The last 2 measures (Joint Commission hospital discharge with Joint Commission exclusions; and Society for Maternal-Fetal Medicine hospital discharge with Society for Maternal-Fetal Medicine exclusions) were based on data from hospital discharge data only and not using linked birth certificate data. These measures generally reflect term, singleton, and vertex because parity could not be assessed adequately on hospital discharge data. Hospital differences between these 5 measures were calculated overall and by neonatal intensive care unit level.

RESULTS

Overall, the median of hospital low-risk cesarean rates decreased across the measures, from NTSV-BC 30.7%, to Joint Commission linked 29.1%, and Society for Maternal Fetal Medicine hospital discharge 29.2% with a large decrease to Joint Commission hospital discharge 19.4% and Society for Maternal Fetal Medicine hospital discharge 18.1%. A similar trend was seen by neonatal intensive care unit level. For each of the measures, level II had the highest median low-risk cesarean rates (nulliparous. term, singleton, vertex birth certificate) 32.7%, Joint Commission linked (31.4%), Society for Maternal Fetal Medicine linked: 31.1%, Society for Maternal Fetal Medicine hospital discharge 19.3%), except for level III Joint Commission hospital discharge (20.0%). A comparison of the median number of low-risk births overall and by neonatal intensive care unit level showed a decreasing number across the linked and hospital discharge measures. Again, a wide gap in low-risk cesarean delivery rates was identified between linked measures and hospital discharge measures. However, this gap narrowed as hospital rates increased.

CONCLUSION

Quality monitoring of low-risk cesarean delivery rates measured by the nulliparous, term, singleton, vertex metric using the birth certificate was fairly accurate and provided timely assessment for use by Florida hospitals. The nulliparous, term, singleton, vertex birth certificate rates were comparable with low-risk metrics using the linked data source. Overall, metrics used within the same data source had similar rates, with the Society for Maternal-Fetal Medicine metric having the lowest rates. Across data sources, metrics using hospital discharge data only resulted in substantially underestimated rates because of the inclusion of multiparous women and should be interpreted with caution.

Affordable Care Act Medicaid Expansion was Associated With Reductions in the Proportion of Hospitalizations That are Potentially Preventable Among Hispanic and White Adults

OBJECTIVE

Using data on 5 years of postexpansion experience, we examined whether the coverage gains from Affordable Care Act Medicaid expansion among Black, Hispanic, and White individuals led to improvements in objective indicators of outpatient care adequacy and quality.

RESEARCH DESIGN

For the population of adults aged 45-64 with no insurance or Medicaid coverage, we obtained data on census population and hospitalizations for ambulatory care sensitive conditions (ACSCs) during 2010-2018 in 14 expansion and 7 nonexpansion states. Our primary outcome was the percentage share of hospitalizations due to ACSC out of all hospitalizations ("ACSC share") among uninsured and Medicaid-covered patients. Secondary outcomes were the population rate of ACSC and all hospitalizations. We used multivariate regression models with an event-study difference-in-differences specification to estimate the change in the outcome measures associated with expansion in each of the 5 postexpansion years among Hispanic, Black, and White adults.

PRINCIPAL FINDINGS

At baseline, ACSC share in the expansion states was 19.0%, 14.5%, and 14.3% among Black, Hispanic, and White adults. Over the 5 years after expansion, Medicaid expansion was associated with an annual reduction in ACSC share of 5.3% (95% CI, -7.4% to -3.1%) among Hispanic and 8.0% (95% CI, -11.3% to -4.5%) among White adults. Among Black adults, estimates were mixed and indicated either no change or a reduction in ACSC share.

CONCLUSIONS

After Medicaid expansion, low-income Hispanic and White adults experienced a decrease in the proportion of potentially preventable hospitalizations out of all hospitalizations.

Validity of ICD codes to identify do-not-resuscitate orders among older adults with heart failure: A single center study

BACKGROUND

Observational research on the advance care planning (ACP) process is limited by a lack of easily accessible ACP variables in many large datasets. The objective of this study was to determine whether International Classification of Disease (ICD) codes for do-not-resuscitate (DNR) orders are valid proxies for the presence of a DNR recorded in the electronic medical record (EMR).

METHODS

We studied 5,016 patients over the age of 65 who were admitted to a large, mid-Atlantic medical center with a primary diagnosis of heart failure. DNR orders were identified in billing records from ICD-9 and ICD-10 codes. DNR orders were also identified in the EMR by a manual search of physician notes. Sensitivity, specificity, positive predictive value and negative predictive value were calculated as well as measures of agreement and disagreement. In addition, estimates of associations with mortality and costs were calculated using the DNR documented in EMR and the DNR proxy identified in ICD codes.

RESULTS

Relative to the gold standard of the EMR, DNR orders identified in ICD codes had an estimated sensitivity of 84.6%, specificity of 96.6%, positive predictive value of 90.5%, and negative predictive value of 94.3%. The estimated kappa statistic was 0.83, although McNemar's test suggested there was some systematic disagreement between the DNR from ICD codes and the EMR.

CONCLUSIONS

ICD codes appear to provide a reasonable proxy for DNR orders among hospitalized older adults with heart failure. Further research is necessary to determine if billing codes can identify DNR orders in other populations.

Using advanced racial and ethnic identity demographics to improve surveillance of work-related conditions in an occupational clinic setting

Background

Although racial and ethnic identities are associated with a multitude of disparate medical outcomes, surveillance of these subpopulations in the occupational clinic setting could benefit enormously from a more detailed and nuanced recognition of racial and ethnic identity.

Methods

The research group designed a brief questionnaire to capture several dimensions of this identity and collected data from patients seen for work‐related conditions in four occupational medicine clinics from May 2019 through March 2020. Responses were used to calculate the sensitivity and specificity of extant racial/ethnic identity data within our electronic health records system, and were compared to participants' self‐reported industry and occupation, coded according to North American Industry Classification System and Standard Occupational Classification System listings.

Results

Our questionnaire permitted collection of data that defined our patients' specific racial/ethnic identity with far greater detail, identified patients with multiple ethnic identities, and elicited their preferred language. Response rate was excellent (94.2%, n = 773). Non‐White participants frequently selected a racial/ethnic subcategory (78.1%–92.2%). Using our race/ethnicity data as a referent, the electronic health record (EHR) had a high specificity (>87.1%), widely variable sensitivity (11.8%–82.2%), and poorer response rates (75.1% for race, 82.5% for ethnicity, as compared to 93.8% with our questionnaire). Additional analyses revealed some industries and occupations disproportionately populated by patients of particular racial/ethnic identities.

Conclusions

Our project demonstrates the usefulness of a questionnaire which more effectively identifies racial/ethnic subpopulations in an occupational medicine clinic, permitting far more detailed characterization of their occupations, industries, and diagnoses.

Differences and similarities between emergency department syndromic surveillance and hospital discharge data for nonfatal drug overdose

PURPOSE

Emergency department syndromic surveillance and hospital discharge data have been used to detect and monitor nonfatal drug overdose, yet few studies have assessed the differences and similarities between these two data sources.

METHODS

The Centers for Disease Control and Prevention Drug Overdose Surveillance and Epidemiology system data from 14 states were used to compare these two sources at estimating monthly overdose burden and trends from January 2018 through December 2019 for nonfatal all drug, opioid-, heroin-, and stimulant-involved overdoses.

RESULTS

Compared to discharge data, syndromic data captured 13.3% more overall emergency department visits, 67.8% more all drug overdose visits, 15.6% more opioid-involved overdose visits, and 78.8% more stimulant-involved overdose visits. Discharge data captured 18.9% more heroin-involved overdoses. Significant trends were identified for all drug (Average Monthly Percentage Change [AMPC]=1.1, 95% CI=0.4,1.8) and stimulant-involved overdoses (AMPC=2.4, 95% CI=1.2,3.7) in syndromic data; opioid-involved overdoses increased in both discharge and syndromic data (AMPCDischarge=0.9, 95% CI=0.2,1.7; AMPCSyndromic=1.9, CI=1.1,2.8).

CONCLUSIONS

Results demonstrate that discharge data may be better for reporting counts, yet syndromic data are preferable to detect changes quickly and to alert practitioners and public health officials to local overdose clusters. These data sources do serve complementary purposes when examining overdose trends.

The accuracy of hospital discharge data in recording major congenital anomalies in Australia

BACKGROUND

There has been increasing use of hospital discharge data to identify congenital anomalies, with limited information about the accuracy of these data.

OBJECTIVES

To evaluate the accuracy of hospital discharge data in ascertaining major congenital anomalies in infants.

METHODS

All liveborn infants with major congenital anomalies born between 2004 and 2009 in New South Wales, Australia were included. They were separated into two study groups: (a) infants identified from the Register of Congenital Conditions with a corresponding record in linked hospital discharge data; and (b) infants with a recorded congenital anomaly in hospital data, but without a register record. For the first group, we assessed agreement (concordant diagnoses) and the proportion of anomalies with discrepant diagnoses in each dataset. For the second group, we determined the number of anomalies recorded only in hospital data and applied specific conditions restricting to those recorded in the birth admission, excluding nonspecific diagnoses, or those with relevant surgical procedures to minimize potential false positives or over-reporting.

RESULTS

The first study group included 9,346 infants with an average 84% agreement in the ascertainment of major anomalies between hospital and registry data, and >93% agreement for cardiac, abdominal wall, and gastrointestinal anomalies. Discrepant diagnoses occurred on average in 20% of cases from hospital data and 17% from registry data, and were slightly reduced with the use of diagnoses recorded only in tertiary pediatric hospitals. The second group included 25,893 infants where anomalies were only recorded in hospital data, most commonly skin and unspecified anomalies. Excluding unspecified cases, those only diagnosed at the birth admission and restricting to surgical procedures reduced over-reporting by up to 96%.

CONCLUSIONS

Hospital discharge data provide an acceptable means to ascertain congenital anomalies, but with variable accuracy for different anomalies. Application of specific conditions and limited to surgical procedures improves the utility of using hospital discharge data to ascertain congenital anomalies.

Leveraging data visualization and a statewide health information exchange to support COVID-19 surveillance and response: Application of public health informatics

Objective

We sought to support public health surveillance and response to coronavirus disease 2019 (COVID-19) through rapid development and implementation of novel visualization applications for data amalgamated across sectors.

Materials and Methods

We developed and implemented population-level dashboards that collate information on individuals tested for and infected with COVID-19, in partnership with state and local public health agencies as well as health systems. The dashboards are deployed on top of a statewide health information exchange. One dashboard enables authorized users working in public health agencies to surveil populations in detail, and a public version provides higher-level situational awareness to inform ongoing pandemic response efforts in communities.

Results

Both dashboards have proved useful informatics resources. For example, the private dashboard enabled detection of a local community outbreak associated with a meat packing plant. The public dashboard provides recent trend analysis to track disease spread and community-level hospitalizations. Combined, the tools were utilized 133 637 times by 74 317 distinct users between June 21 and August 22, 2020. The tools are frequently cited by journalists and featured on social media.

Discussion

Capitalizing on a statewide health information exchange, in partnership with health system and public health leaders, Regenstrief biomedical informatics experts rapidly developed and deployed informatics tools to support surveillance and response to COVID-19.

Conclusions

The application of public health informatics methods and tools in Indiana holds promise for other states and nations. Yet, development of infrastructure and partnerships will require effort and investment after the current pandemic in preparation for the next public health emergency.

Osteoarthritis and Osteonecrosis in Total Hip Arthroplasty: 90-Day Postoperative Costs and Outcomes

BACKGROUND

Two common diagnoses for patients undergoing total hip arthroplasty (THA) are osteoarthritis (OA) and osteonecrosis (ON), pathologically different diseases that affect postoperative complication rates. The underlying pathology of ON may predispose patients to a higher rate of certain complications. Previous research has linked ON with higher mortality and revisions, but a comparison of costs and complication rates may help elucidate further risks. This study reports 90-day costs, lengths of stay (LOS), readmission rates, and complication rates between patients undergoing THA for OA and ON.

METHODS

The Nationwide Readmissions Database was retrospectively reviewed for primary THAs, with 90-day readmissions assessed from the index procedure. Patients diagnosed with OA (n = 1,577,991) and ON (n = 55,034) were identified. Costs, LOS, and any readmission within 90 days for complications were recorded and analyzed with the chi-square and t-tests.

RESULTS

Patients with ON had higher 90-day costs ($20,110.80 vs. 22,462.79, P < .01) and longer average LOS (3.48 vs. 4.49 days, P < .01). Readmission rates within 90 days of index THA were significantly higher among patients with ON (7.7% vs. 13.1%, P < .01). Patients with OA had a lower incidence of 90-day overall complications (4.1 vs. 6.4%, P < .01).

CONCLUSIONS

Patients undergoing THA for ON incur higher readmission-related costs and complication rates. Understanding the predisposing factors for increased complications in ON may improve patient outcomes.

Changes in Hospitalizations at US Safety-Net Hospitals Following Medicaid Expansion

This cross-sectional study examines whether inpatient utilization among patients with lower socioeconomic status and among those who belong to racial/ethnic minority groups changed differentially in states that expanded Medicaid following the Patient Protection and Affordable Care Act (ACA).

Effect of the Assistive Technology Professional on the Provision of Mobility Assistive Equipment

OBJECTIVE

The purpose of this study was to examine factors associated with variability in satisfaction with functional mobility (as measured by the Functional Mobility Assessment [FMA]) in users of mobility devices. Our primary hypothesis was that device type and Assistive Technology Professional (ATP) involvement will be the most significant predictors of FMA score. Our secondary hypothesis was that ATP involvement is associated with use of more custom-fitted manual wheelchairs and group 3 and 4 power wheelchairs.

DESIGN

Retrospective cohort study.

SETTING

Data were collected from equipment suppliers who collaborate with clinicians to administer the FMA and associated Uniform Data Set within various settings (ie, rehabilitation clinic, school, supplier place of business).

PARTICIPANTS

A data set of 4743 cases was included in the analysis (N=4743).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

FMA questionnaire collected at baseline, client age, gender, primary diagnosis, years since disability onset, device type, device age, living situation, ATP involvement, and geographic area.

RESULTS

Ordinal logistic regression modeling showed that geographic area, device type, ATP involvement, primary diagnosis, gender, age, device age, and years since onset of disability significantly predicted the variance in FMA scores at P<.05. Device type was the most significant predictor of variance in FMA score. Involvement of an ATP had a significant effect on the type of device that participants used (χ²²⁰=1739.18, P<.001; odds ratio, 0.589; 95% confidence interval, 0.49-0.708). If an ATP was involved, there were significantly higher proportions (all P<.05) of individuals using custom-fitted manual wheelchair and high-end groups 3 and 4 power wheelchairs prescribed compared with when no ATP was involved or when involvement was uncertain.

CONCLUSIONS

The relationship between ATP involvement and functional outcome supports the concept that ATP certification recognizes demonstrated competence in analyzing the needs of consumers with disabilities and selection of appropriate mobility assistive equipment with improved functional outcomes.

Accuracy of ICD-10-CM coding for physical child abuse in a paediatric level I trauma centre

This retrospective study examined the accuracy of the International Classification of Diseases, Clinical Modification (ICD-10-CM) coding for physical child abuse among patients less than 18 years of age who were evaluated due to concern for physical abuse by a multidisciplinary child protection team (MCPT) during 2016–2017 (N=312) in a paediatric level I trauma centre. Sensitivity, specificity, predictive values and diagnostic OR for ICD-10-CM coding were calculated and stratified by admission status, using as a reference standard the abuse determination of the MCPT recorded in a hospital registry. Among inpatients, child physical abuse coding sensitivity was 55.6% (95% CI 41.4% to 69.1%) and specificity was 78.6% (95% CI 59.0% to 91.7%), with diagnostic OR of 4.58 (95% CI 1.64 to 12.70). Among outpatients, sensitivity was 22.2% (95% CI 15.5% to 30.2%) and specificity was 86.3% (95% CI 77.7% to 92.5%), with diagnostic OR of 1.80 (95% CI 0.89 to 3.64). Use of ICD-10-CM coded data sets alone for surveillance may significantly underestimate the occurrence of physical child abuse.

Processes of care and outcomes for homeless patients hospitalised for cardiovascular conditions at safety-net versus non-safety-net hospitals: cross-sectional study

OBJECTIVES

Evidence suggests that homeless patients experience worse quality of care and poorer health outcomes across a range of medical conditions. It remains unclear, however, whether differences in care delivery at safety-net versus non-safety-net hospitals explain these disparities. We aimed to investigate whether homeless versus non-homeless adults hospitalised for cardiovascular conditions (acute myocardial infarction (AMI) and stroke) experience differences in care delivery and health outcomes at safety-net versus non-safety-net hospitals.

DESIGN

Cross-sectional study.

SETTING

Data including all hospital admissions in four states (Florida, Massachusetts, Maryland, and New York) in 2014.

PARTICIPANTS

We analysed 167 105 adults aged 18 years or older hospitalised for cardiovascular conditions (age mean=64.5 years; 75 361 (45.1%) women; 2123 (1.3%) homeless hospitalisations) discharged from 348 hospitals.

OUTCOME MEASURES

Risk-adjusted diagnostic and therapeutic procedure and in-hospital mortality, after adjusting for patient characteristics and state and quarter fixed effects.

RESULTS

At safety-net hospitals, homeless adults hospitalised for AMI were less likely to receive coronary angiogram (adjusted OR (aOR), 0.42; 95% CI, 0.36 to 0.50; p<0.001), percutaneous coronary intervention (aOR, 0.52; 95% CI, 0.44 to 0.62; p<0.001) and coronary artery bypass graft (aOR, 0.43; 95% CI, 0.26 to 0.71; p<0.01) compared with non-homeless adults. Homeless patients treated for strokes at safety-net hospitals were less likely to receive cerebral arteriography (aOR, 0.23; 95% CI, 0.16 to 0.34; p<0.001), but were as likely to receive thrombolysis therapy. At non-safety-net hospitals, we found no evidence that the probability of receiving these procedures differed between homeless and non-homeless adults hospitalised for AMI or stroke. Finally, there were no differences in in-hospital mortality rates for homeless versus non-homeless patients at either safety-net or non-safety-net hospitals.

CONCLUSION

Disparities in receipt of diagnostic and therapeutic procedures for homeless patients with cardiovascular conditions were observed only at safety-net hospitals. However, we found no evidence that these differences influenced in-hospital mortality markedly.

The interaction of neonatal abstinence syndrome and opioid use disorder treatment availability for women insured by medicaid

OBJECTIVE

This paper will discuss the process of mapping opioid use disorder (OUD) treatment resources for pregnant women and discuss the intersection between treatment resources and rates of neonatal abstinence syndrome (NAS).

DESIGN

A resource manual was developed through a systematic process with stakeholders across Illinois. Resources were mapped by county and overlaid with county rates of NAS, using hospital discharge data.

RESULTS

Across Illinois, 89 treatment resources were identified for pregnant women insured by Medicaid. Resources were concentrated in 36% of Illinois' counties. Counties with limited treatment resources generally had high rates of NAS. Sixty-six percent of NAS cases among rural Illinois residents had no OUD treatment resources in their county. Rural counties had less access to medication-assisted treatment (MAT), the standard of care for treatment of OUD, compared with other counties across the state.

CONCLUSIONS

Efforts to increase OUD treatment options for pregnant women insured by Medicaid should concentrate on geographic areas with limited access and high need.

Evaluating Oregon's occupational public health surveillance system based on the CDC updated guidelines

Background

The Oregon Occupational Public Health Program (OOPHP) monitors occupational health indicators (OHIs) to inform occupational safety and health (OSH) surveillance. In 2018, OOPHP evaluated the performance of the OSH surveillance system and identified areas for future improvement.

Methods

Following the Centers for Disease Control and Prevention (CDC) updated guidelines for evaluating public health surveillance systems, the OOPHP evaluation team engaged internal and external stakeholders using a mixed‐methods approach. Operational measures for ten surveillance attributes were developed. Multiple data collection methods resulted in credible evidence for evaluation conclusions. Analyses included summary statistics and qualitative analysis of interviews, a focus group, and online surveys.

Results

Twenty stakeholders took part in this evaluation, with an average participation rate of 55%. Results showed the Oregon OSH surveillance system was simple, flexible, and highly accepted by its stakeholders. Funding security presents challenges for stability. A lack of timeliness of OHIs, low relevance of OHIs to local OSH issues, and the system's ineffectual data dissemination all limit the usefulness of the OSH surveillance system. A review of key data sources for the system showed good data quality and predictive value positive, but relatively poor sensitivity and representativeness.

Conclusions

The evaluation team successfully adapted attributes and examples in the CDC guidelines to this Oregon OSH surveillance evaluation. The evaluation findings have informed the development of recommendations for improvements to OOPHP's OSH surveillance. Future research is needed to develop guidance specific to OSH surveillance evaluation.

Composite neonatal morbidity indicators using hospital discharge data: A systematic review

BACKGROUND

Neonatal morbidity is associated with lifelong impairments, but the absence of a consensual definition and the need for large data sets limit research.

OBJECTIVES

To inform initiatives to define standard outcomes for research, we reviewed composite neonatal morbidity indicators derived from routine hospital discharge data.

DATA SOURCES

PubMed (updated on October 12, 2018). The search algorithm was based on three components: "morbidity," "neonatal," and "hospital discharge data."

STUDY SELECTION AND DATA EXTRACTION

Studies investigating neonatal morbidity using a composite indicator based on hospital discharge data were included. Indicators defined for specific conditions (eg congenital anomalies, maternal addictions) were excluded. The target population, objectives, component morbidities, diagnosis and procedure codes, validation methods, and prevalence of morbidity were extracted.

SYNTHESIS

For each study, we assessed construct validity by describing the methods used to select the indicator components and evaluated whether the authors assessed internal and external validity. We also calculated confidence intervals for the prevalence of the morbidity composite.

RESULTS

Seventeen studies fulfilled inclusion criteria. Indicators targeted all (n = 4), low-/moderate-risk (n = 9), and very preterm (VPT, n = 4) infants. Components were similar for VPT infants, but domains and diagnosis codes within domains varied widely for all and low-/moderate-risk infants. Component selection was described for 8/17 indicators and some form of validation reported for 12/17. Neonatal morbidity prevalence ranged from 4.6% to 9.0% of all infants, 0.4% to 8.0% of low-/moderate-risk infants, and 17.8% to 61.0% of VPT infants.

CONCLUSIONS

Multiple neonatal morbidity indicators based on hospital discharge data have been used for research, but their heterogeneity limits comparisons between studies. Standard neonatal outcome measures are needed for benchmarking and synthesis of research results.

Racial Disparities in Pediatric Psychiatric Emergencies: A Health Systems Approach

Less than half of African American youth with severe mental disorders receive psychiatric care. When they do receive care, African American youth use the Emergency Department at higher rates than whites. We examine whether rapid expansion of primary mental health care at Community Health Centers reduces Emergency Department visits for psychiatric care especially among African American youth. Through four studies, we examine (1) the impact of mental health service capacity on the disparity of psychiatric care among African American youth; (2) how Community Health Center mental health visits vary with repeat psychiatric emergency visits; (3) the county-level drivers of the expansion of Community Health Centers; and (4) how Community Health Center expansion affects overall psychiatric emergency care. Results indicate that increased continuity of mental health care at Community Health Centers corresponds with a reduction in racial disparities in youth psychiatric ED visits. In addition, an increase in Community Health Center capacity varies inversely with repeated psychiatric Emergency Department visits and inversely with psychiatric Emergency Department visits overall. And finally, results show an increase in Community Health Center mental health services among counties with greater poverty, lower physician availability, and higher percentage of uninsured. Our studies indicate that expansion of federally-funded primary mental health services affects the overall system of emergency psychiatric care. However, this expansion does not appear to dramatically reduce racial/ethnic disparities in psychiatric emergency department visits.

Emergency room visits for chronic obstructive pulmonary disease in Illinois counties: An epidemiological study based on the Social Ecological Model

Objectives

This study aimed to determine the predictive capability of the Social Ecological Model for emergency room visits for acute exacerbation of chronic obstructive pulmonary disease.

Methods

County-level secondary data ( n = 102) on emergency room visits for chronic obstructive pulmonary disease were retrieved from the Illinois Department of Public Health for 2016. Data for variables operationalized from the intrapersonal, interpersonal, institutional, community, and public policy levels of the Social Ecological Model were retrieved from several sources. Geographic information system software was used to examine the spatial distribution of emergency room visits for chronic obstructive pulmonary disease in Illinois. Robust linear regression analysis was used to examine significant predictors of emergency room visits for chronic obstructive pulmonary disease.

Results

A regression model with all five levels of the Social Ecological Model accounted for 50% of the variability in emergency room visits for chronic obstructive pulmonary disease, F(24,77) = 4.62, p < 0.001. Statistically significant predictors of emergency room visits for chronic obstructive pulmonary disease were observed within the interpersonal, institutional, and community levels of the Social Ecological Model.

Discussion

Community health practitioners working to develop programs aimed at controlling chronic obstructive pulmonary disease exacerbations in Illinois should consider multiple levels of influence.

Public Health Surveillance of Youth Suicide Attempts: Challenges and Opportunities

BACKGROUND

Surveillance of youth suicide attempts presents many challenges. To assess common data sources that capture information about youth suicidal behavior, we compared counts of high school students who reported (a) a suicide attempt and (b) an injurious suicide attempt, requiring medical treatment in the previous twelve months, with counts of suicide deaths and intentional self-injuries obtained from administrative data sources.

METHOD

Youth Risk Behavior Surveillance System (YRBSS), high school enrollments, and vital statistics were used to estimate the ratio of suicide attempts to suicide deaths among Kentucky high school students. YRBSS and enrollment data were used to estimate the number of Kentucky high school students who received medical treatment following a suicide attempt, which was compared with hospital and emergency department (ED) discharges for intentional self-injury from administrative claim records.

RESULTS

We estimated 943 students reporting a suicide attempt for every suicide death, a result that is higher than previous estimates for youth. Self-reported suicide attempts resulting in medical treatment were 7.5 times higher than self-injuries reported in claims records.

CONCLUSION

Future research should address concerns about undocumented cases of intentional self-injury in administrative claims systems; patient encounters in nonhospital settings for injuries resulting from a suicide attempt; and validity of Youth Risk Behavior Survey questions on suicidal behavior.

Maternal Race/Ethnicity, Hypertension, and Risk for Stroke During Delivery Admission

Background

Racial disparities contribute to maternal morbidity in the United States. Hypertension is associated with poor maternal outcomes, including stroke. Disparities in hypertension might contribute to maternal strokes.

Methods and Results

Using billing data from the Healthcare Cost and Utilization Project's National Inpatient Sample, we analyzed the effect of race/ethnicity on stroke during delivery admission in women aged 18 to 54 years delivering in US hospitals from January 1, 1998, through December 31, 2014. We categorized hypertension as normotensive, chronic hypertension, or pregnancy‐induced hypertension. Adjusted risk ratios (aRRs) and 95% CIs were calculated using log‐linear Poisson regression models, testing for interactions between race/ethnicity and hypertensive status. A total of 65 286 425 women were admitted for delivery during the study period, of whom 7764 were diagnosed with a stroke (11.9 per 100 000 deliveries). Hypertension modified the effect of race/ethnicity (P<0.0001 for interaction). Among women with pregnancy‐induced hypertension, black and Hispanic women had higher stroke risk compared with non‐Hispanic whites (blacks: aRR, 2.07; 95% CI, 1.86–2.30; Hispanics: aRR, 2.19; 95% CI, 1.98–2.43). Among women with chronic hypertension, all minority women had higher stroke risk (blacks: aRR, 1.71; 95% CI, 1.30–2.26; Hispanics: aRR, 1.75; 95% CI, 2.32–5.63; Asian/Pacific Islanders: aRR, 3.62; 95% CI, 2.32–5.63). Among normotensive women, only blacks had increased stroke risk (aRR, 1.17; 95% CI, 1.07–1.28).

Conclusions

Pregnant US women from minority groups had higher stroke risk during delivery admissions, compared with non‐Hispanic whites. The effect of race/ethnicity was larger in women with chronic hypertension or pregnancy‐induced hypertension. Targeting blood pressure management in pregnancy may help reduce maternal stroke risk in minority populations.

African American/white disparities in psychiatric emergencies among youth following rapid expansion of Federally Qualified Health Centers

OBJECTIVE

To test whether rapid expansion of mental health services in Federally Qualified Health Centers (FQHCs) reduces African American/white disparities in youth psychiatric emergency department (ED) visits.

DATA SOURCES

Secondary ED data for psychiatric care for 3.3 million African American and white youth in nine states, 2006-2011. We used the HCUP SEDD and SID. We obtained FQHC service data from the Uniform Data System.

STUDY DESIGN

The psychiatric ED visit is the dependent variable. Logistic regression methods control for individual risk factors for ED use, as well as county-level health system factors and county and year fixed effects. Key independent variables include indicators of mental health service capacity in FQHCs in a county-year.

DATA EXTRACTION METHODS

We extracted ED psychiatric visits for 3.3 million African American and white youth in nine states, 2006-2011, from the HCUP SEDD and SID, and FQHC data from the Uniform Data System.

PRINCIPAL FINDINGS

Overall mental health visits at FQHCs correlate positively with psychiatric ED visits among African American youth. However, increases in the number of mental health visits per FQHC patient corresponds with fewer outpatient psychiatric ED visits among African American youth, relative to white youth (odds ratio = 0.96; 95% CI = 0.94, 0.98).

CONCLUSIONS

Increases in the intensity of services offered per mental health patient at FQHCs-rather than increases in overall capacity-may reduce African American youth's overreliance on the ED for psychiatric care.

Racial/Ethnic Disparities/Differences in Hysterectomy Route in Women Likely Eligible for Minimally Invasive Surgery

STUDY OBJECTIVE

Evaluate racial/ethnic variation in hysterectomy surgical route in women likely eligible for minimally invasive hysterectomy.

DESIGN

Cross-sectional study.

SETTING

Multistate including Colorado, Florida, Maryland, New Jersey, and New York.

PATIENTS

Women aged ≥18 years without diagnoses of leiomyomas, obesity, or previous abdominopelvic surgery who underwent hysterectomy for benign conditions from the State Inpatient and Ambulatory Surgery Databases, 2010-2014.

INTERVENTIONS

None. Primary exposure is race/ethnicity.

MEASUREMENTS AND MAIN RESULTS

Racial/ethnic variation in annual hysterectomy rates and surgical route. To calculate hysterectomy rates per 100 000 women/year, denominators were adjusted for the proportion of women with previous hysterectomy. A marginal structural log binomial regression model was used to estimate adjusted standardized prevalence ratios (aPRs) for vaginal or laparoscopic vs abdominal hysterectomy, controlling for clustering within hospitals. In addition, hospitals were stratified into quintiles to examine surgical route in hospitals that serve a higher vs lower proportion of African American patients. A total of 133 082 adult women underwent hysterectomy for benign conditions from 2010 to 2014. Annual laparoscopic rates increased more slowly for African Americans (1.6-fold) than for whites (1.8-fold) and Hispanics (1.9-fold). African American and Hispanic women were less likely to undergo vaginal (aPR = 0.93; 95% confidence interval [CI], 0.90-0.96 and aPR = 0.95; 95% CI 0.93-0.97, respectively) and laparoscopic hysterectomy (aPR = 0.90; 95% CI, 0.87-0.94 and aPR = 0.95; 95% CI, 0.92-0.98, respectively) than white women; Asian/Pacific Islander women were less likely to undergo vaginal hysterectomy (aPR = 0.88; 95% CI, 0.81-0.96). Hospitals serving a higher proportion of African American persons performed more abdominal and fewer vaginal procedures across all groups, and more racial/ethnic minority women sought care at those hospitals than white women.

CONCLUSION

African American, Hispanic, and Asian/Pacific Islander women eligible for minimally invasive hysterectomy were more likely than white women to receive abdominal hysterectomy. The proportion of all women undergoing abdominal hysterectomy was highest at hospitals serving higher proportions of African American persons. This difference in treatment type can lead to disparities in outcomes, in part owing to their association with complications.

The impact of the ICD-9-CM to ICD-10-CM transition on the prevalence of birth defects among infant hospitalizations in the United States

BACKGROUND

Many public health surveillance programs utilize hospital discharge data in their estimation of disease prevalence. These databases commonly use the International Classification of Diseases (ICD) coding scheme, which transitioned from the ICD-9 clinical modification (ICD-9-CM) to ICD-10-CM on October 1, 2015. This study examined this transition's impact on the prevalence of major birth defects among infant hospitalizations.

METHODS

Using data from the Agency for Health Care Research and Quality-sponsored National Inpatient Sample, hospitalizations during the first year of life with a discharge date between January 1, 2012 and December 31, 2016 were used to estimate the monthly national hospital prevalence of 46 birth defects for the ICD-9-CM and ICD-10-CM timeframes separately. Survey-weighted Poisson regression was used to estimate 95% confidence intervals for each hospital prevalence. Interrupted time series framework and corresponding segmented regression was used to estimate the immediate change in monthly hospital prevalence following the ICD-9-CM to ICD-10-CM transition.

RESULTS

Between 2012 and 2016, over 21 million inpatient hospitalizations occurred during the first year of life. Among the 46 defects studied, statistically significant decreases in the immediate hospital prevalence of five defects and significant increases in the immediate hospital prevalence of eight defects were observed after the ICD-10-CM transition.

CONCLUSIONS

Changes in prevalence were expected based on changes to ICD-10-CM. Observed changes for some conditions may result from variation in monthly hospital prevalence or initial unfamiliarity of coders with ICD-10-CM. These findings may help birth defects surveillance programs evaluate and interpret changes in their data related to the ICD-10-CM transition.

How Have 30-Day Readmission Penalties Affected Racial Disparities in Readmissions?: an Analysis from 2007 to 2014 in Five US States

BACKGROUND

Thirty-day readmission penalties implemented with the Hospital Readmission Reduction Program (HRRP) place a larger burden on safety-net hospitals which treat a disproportionate share of racial minorities, leading to concerns that already large racial disparities in readmissions could widen.

OBJECTIVE

To examine whether there were changes in Black-White disparities in 30-day readmissions for acute myocardial infarction (AMI), congestive heart failure (CHF), or pneumonia following the passage and implementation of HRRP, and to compare disparities across safety-net and non-safety-net hospitals.

DESIGN

Repeated cross-sectional analysis, stratified by safety-net status.

SUBJECTS

1,745,686 Medicare patients over 65 discharged alive from hospitals in 5 US states: NY, FL, NE, WA, and AR.

MAIN MEASURES

Odds ratios comparing 30-day readmission rates following an index admission for AMI, CHF, or pneumonia for Black and White patients between 2007 and 2014.

KEY RESULTS

Prior to the passage of HRRP in 2010, Black and White readmission rates and disparities in readmissions were decreasing. These reductions were largest at safety-net hospitals. In 2007, Blacks had 13% higher odds of readmission if treated in safety-net hospitals, compared with 5% higher odds in 2010 (P < 0.05). These trends continued following the passage of HRRP.

CONCLUSIONS

Prior to HRRP, there were large reductions in Black-White disparities in readmissions at safety-net hospitals. Although HRRP tends to assess higher penalties for safety-net hospitals, improvements in readmissions have not reversed following the implementation of HRRP. In contrast, disparities continue to persist at non-safety-net hospitals which face much lower penalties.

Alcohol consumption and hospitalization burden in an adult Italian population: prospective results from the Moli-sani study

BACKGROUND AND AIMS

Epidemiological evidence on the impact of different alcohol drinking patterns on health-care systems or hospitalizations is sparse. We investigated how the different average volumes of alcohol consumed relate to all-cause and cause-specific hospitalizations.

DESIGN

Prospective cohort study (baseline 2005-10) linked to a registry of hospital discharge records to identify hospitalizations at follow-up (December 2013).

SETTING

Molise region, Italy.

PARTICIPANTS

A total of 20 682 individuals (48% men, age ≥ 35 years) who participated in the Moli-sani Study and were free from cardiovascular disease or cancer at baseline.

MEASUREMENTS

The alcohol volume consumed in the year before enrolment was classified as: life-time abstainers, former drinkers, occasional drinkers and current drinkers who drank 1-12 (referent), 12.1-24, 24.1-48 and > 48 g/day of alcohol. Cause-specific hospitalizations were assigned by Italian Diagnosis Related Groups classification or by ICD-9 code of main admission diagnoses. Incidence rate ratios (IRR) of hospitalization were estimated by Poisson regression, taking into account the total number of admissions that occurred during the follow-up per person.

FINDINGS

During a median follow-up of 6.3 years, 12 996 multiple hospital admissions occurred. In multivariable analyses, life-time abstainers and former drinkers had higher rates of all-cause [IRR = 1.11, 95% confidence interval (CI) = 1.05-1.17 and IRR = 1.19, 95% CI = 1.02-1.31, respectively] and vascular (IRR = 1.14, 95% CI = 1.02-1.27 and IRR = 1.48, 95% CI = 1.24-1.76, respectively) hospitalizations compared with light alcohol consumers. Alcohol consumption > 48 g/day was associated with a higher rate of hospitalization for both alcohol-related diseases (IRR = 1.74, 95% CI = 1.32-2.29) and cancer (IRR = 1.36, 95% CI = 1.12-1.65). The magnitude of the association between heavier alcohol intake and hospitalization tended to be greater in smokers than non-smokers. No associations were observed with hospitalization for trauma or neurodegenerative diseases.

CONCLUSIONS

Moderate alcohol consumption appears to have a modest but complex impact on global hospitalization burden. Heavier drinkers have a higher rate of hospitalization for all causes, including alcohol-related diseases and cancer, a risk that appears to be further magnified by concurrent smoking.

Geospatial cluster analyses of pneumonia-associated hospitalisations among adults in New York City, 2010-2014

Pneumonia is a leading cause of death in New York City (NYC). We identified spatial clusters of pneumonia-associated hospitalisation for persons residing in NYC, aged ⩾18 years during 2010-2014. We detected pneumonia-associated hospitalisations using an all-payer inpatient dataset. Using geostatistical semivariogram modelling, local Moran's I cluster analyses and χ2 tests, we characterised differences between 'hot spots' and 'cold spots' for pneumonia-associated hospitalisations. During 2010-2014, there were 141 730 pneumonia-associated hospitalisations across 188 NYC neighbourhoods, of which 43.5% (N = 61 712) were sub-classified as severe. Hot spots of pneumonia-associated hospitalisation spanned 26 neighbourhoods in the Bronx, Manhattan and Staten Island, whereas cold spots were found in lower Manhattan and northeastern Queens. We identified hot spots of severe pneumonia-associated hospitalisation in the northern Bronx and the northern tip of Staten Island. For severe pneumonia-associated hospitalisations, hot-spot patients were of lower mean age and a greater proportion identified as non-Hispanic Black compared with cold spot patients; additionally, hot-spot patients had a longer hospital stay and a greater proportion experienced in-hospital death compared with cold-spot patients. Pneumonia prevention efforts within NYC should consider examining the reasons for higher rates in hot-spot neighbourhoods, and focus interventions towards the Bronx, northern Manhattan and Staten Island.

Disparities in Potentially Preventable Hospitalizations: Near-National Estimates for Hispanics

OBJECTIVE

To obtain near-national rates of potentially preventable hospitalization (PPH)-a marker of barriers to outpatient care access-for Hispanics; to examine their differences from other race-ethnic groups and by Hispanic national origin; and to identify key mediating factors.

DATA SOURCES/STUDY SETTING

Data from all-payer inpatient discharge databases for 15 states accounting for 85 percent of Hispanics nationally.

STUDY DESIGN

Combining counts of inpatient discharges with census population for adults aged 18 and older, we estimated age-sex-adjusted PPH rates. We examined county-level variation in race-ethnic disparities in these rates to identify the mediating role of area-level indicators of chronic condition prevalence, socioeconomic status (SES), health care access, acculturation, and provider availability.

PRINCIPAL FINDINGS

Age-sex-adjusted PPH rates were 13 percent higher among Hispanics (1,375 per 100,000 adults) and 111 percent higher among blacks (2,578) compared to whites (1,221). Among Hispanics, these rates were relatively higher in areas with predominantly Puerto Rican and Cuban Americans than in areas with Hispanics of other nationalities. Small area variation in chronic condition prevalence and SES fully accounted for the higher rates among Hispanics, but only partially among blacks.

CONCLUSIONS

Hispanics and blacks face higher barriers to outpatient care access; the higher barriers among Hispanics (but not blacks) seem mediated by SES, lack of insurance, cost barriers, and limited provider availability.

Improving Occupational Health Disparity Research: Testing a method to estimate race and ethnicity in a working population

BACKGROUND

Race and ethnicity data are often absent from administrative and health insurance databases. Indirect estimation methods to assign probability scores for race and ethnicity to insurance records may help identify occupational health inequities.

METHODS

We compared race and ethnicity estimates from the Bayesian Improved Surname Geocoding (BISG) formula to self-reported race and ethnicity from 1132 workers.

RESULTS

The accuracy of the BISG using gender stratified regression models adjusted for worker age and industry were excellent for White and Latino males and Latino females, good for Black and Asian Pacific Islander males and White and Asian Pacific Islander females. American Indian/Alaskan Native and those who indicated they were "Other" or "More than one race" were poorly identified.

CONCLUSION

The BISG estimation method was accurate for White, Black, Latino, and Asian Pacific Islanders in a sample of workers. Using the BISG in administrative datasets will expand research into occupational health disparities.

Comorbidity index in central cancer registries: the value of hospital discharge data

Background

The presence of comorbid medical conditions can significantly affect a cancer patient’s treatment options, quality of life, and survival. However, these important data are often lacking from population-based cancer registries. Leveraging routine linkage to hospital discharge data, a comorbidity score was calculated for patients in the California Cancer Registry (CCR) database.

Methods

California cancer cases diagnosed between 1991 and 2013 were linked to statewide hospital discharge data. A Deyo and Romano adapted Charlson Comorbidity Index was calculated for each case, and the association of comorbidity score with overall survival was assessed with Kaplan–Meier curves and Cox proportional hazards models. Using a subset of Medicare-enrolled CCR cases, the index was validated against a comorbidity score derived using Surveillance, Epidemiology, and End Results (SEER)-Medicare linked data.

Results

A comorbidity score was calculated for 71% of CCR cases. The majority (60.2%) had no relevant comorbidities. Increasing comorbidity score was associated with poorer overall survival. In a multivariable model, high comorbidity conferred twice the risk of death compared to no comorbidity (hazard ratio 2.33, 95% CI: 2.32–2.34). In the subset of patients with a SEER-Medicare-derived score, the sensitivity of the hospital discharge-based index for detecting any comorbidity was 76.5. The association between overall mortality and comorbidity score was stronger for the hospital discharge-based score than for the SEER-Medicare-derived index, and the predictive ability of the hospital discharge-based score, as measured by Harrell’s C index, was also slightly better for the hospital discharge-based score (C index 0.62 versus 0.59, P<0.001).

Conclusions

Despite some limitations, using hospital discharge data to construct a comorbidity index for cancer registries is a feasible and valid method to enhance registry data, which can provide important clinically relevant information for population-based cancer outcomes research.

Geriatric Patient Safety Indicators Based on Linked Administrative Health Data to Assess Anticoagulant-Related Thromboembolic and Hemorrhagic Adverse Events in Older Inpatients: A Study Proposal

Background

Frail older people with multiple interacting conditions, polypharmacy, and complex care needs are particularly exposed to health care-related adverse events. Among these, anticoagulant-related thromboembolic and hemorrhagic events are particularly frequent and serious in older inpatients. The growing use of anticoagulants in this population and their substantial risk of toxicity and inefficacy have therefore become an important patient safety and public health concern worldwide. Anticoagulant-related adverse events and the quality of anticoagulation management should thus be routinely assessed to improve patient safety in vulnerable older inpatients.

Objective

This project aims to develop and validate a set of outcome and process indicators based on linked administrative health data (ie, insurance claims data linked to hospital discharge data) assessing older inpatient safety related to anticoagulation in both Switzerland and France, and enabling comparisons across time and among hospitals, health territories, and countries. Geriatric patient safety indicators (GPSIs) will assess anticoagulant-related adverse events. Geriatric quality indicators (GQIs) will evaluate the management of anticoagulants for the prevention and treatment of arterial or venous thromboembolism in older inpatients.

Methods

GPSIs will measure cumulative incidences of thromboembolic and bleeding adverse events based on hospital discharge data linked to insurance claims data. Using linked administrative health data will improve GPSI risk adjustment on patients’ conditions that are present at admission and will capture in-hospital and postdischarge adverse events. GQIs will estimate the proportion of index hospital stays resulting in recommended anticoagulation at discharge and up to various time frames based on the same electronic health data. The GPSI and GQI development and validation process will comprise 6 stages: (1) selection and specification of candidate indicators, (2) definition of administrative data-based algorithms, (3) empirical measurement of indicators using linked administrative health data, (4) validation of indicators, (5) analyses of geographic and temporal variations for reliable and valid indicators, and (6) data visualization.

Results

Study populations will consist of 166,670 Swiss and 5,902,037 French residents aged 65 years and older admitted to an acute care hospital at least once during the 2012-2014 period and insured for at least 1 year before admission and 1 year after discharge. We will extract Swiss data from the Helsana Group data warehouse and French data from the national health insurance information system (SNIIR-AM). The study has been approved by Swiss and French ethics committees and regulatory organizations for data protection.

Conclusions

Validated GPSIs and GQIs should help support and drive quality and safety improvement in older inpatients, inform health care stakeholders, and enable international comparisons. We discuss several limitations relating to the representativeness of study populations, accuracy of administrative health data, methods used for GPSI criterion validity assessment, and potential confounding bias in comparisons based on GQIs, and we address these limitations to strengthen study feasibility and validity.

Differences in severity at admission for heart failure between rural and urban patients: the value of adding laboratory results to administrative data

BACKGROUND

Rural/urban variations in admissions for heart failure may be influenced by severity at hospital presentation and local practice patterns. Laboratory data reflect clinical severity and guide hospital admission decisions and treatment for heart failure, a costly chronic illness and a leading cause of hospitalization among the elderly. Our main objective was to examine the role of laboratory test results in measuring disease severity at the time of admission for inpatients who reside in rural and urban areas.

METHODS

We retrospectively analyzed discharge data on 13,998 hospital discharges for heart failure from three states, Hawai'i, Minnesota, and Virginia. Hospital discharge records from 2008 to 2012 were derived from the State Inpatient Databases of the Healthcare Cost and Utilization Project, and were merged with results of laboratory tests performed on the admission day or up to two days before admission. Regression models evaluated the relationship between clinical severity at admission and patient urban/rural residence. Models were estimated with and without use of laboratory data.

RESULTS

Patients residing in rural areas were more likely to have missing laboratory data on admission and less likely to have abnormal or severely abnormal tests. Rural patients were also less likely to be admitted with high levels of severity as measured by the All Patient Refined Diagnosis Related Groups (APR-DRG) severity subclass, derivable from discharge data. Adding laboratory data to discharge data improved model fit. Also, in models without laboratory data, the association between urban compared to rural residence and APR-DRG severity subclass was significant for major and extreme levels of severity (OR 1.22, 95% CI 1.03-1.43 and 1.55, 95% CI 1.26-1.92, respectively). After adding laboratory data, this association became non-significant for major severity and was attenuated for extreme severity (OR 1.12, 95% CI 0.94-1.32 and 1.43, 95% CI 1.15-1.78, respectively).

CONCLUSION

Heart failure patients from rural areas are hospitalized at lower severity levels than their urban counterparts. Laboratory test data provide insight on clinical severity and practice patterns beyond what is available in administrative discharge data.