Hospital consolidation into health systems has mixed effects on surgical quality, potentially related to degree of surgical centralization at high-volume (hub) sites. We developed a novel measure of ...centralization and evaluated a hub and spoke framework.
Surgical centralization within health systems was measured using hospital surgical volumes (American Hospital Association) and health system data (Agency for Healthcare Research and Quality). Hub and spoke hospitals were compared using mixed effects logistic regression and system characteristics associated with surgical centralization were identified using a linear model.
Within 382 health systems containing 3022 hospitals, system hubs perform 63% of cases (IQR 40-84%). Hubs are larger, in metropolitan and urban areas, and more often academically affiliated. Degree of surgical centralization varies ten-fold. Larger, multistate, and investor-owned systems are less centralized. Adjusting for these factors, there is less centralization among teaching systems (p < 0.001).
A hub-spoke framework applies to most health systems but centralization varies significantly. Future studies of health system surgical care should assess the contributions of surgical centralization and teaching status on differential quality.
This study examines whether parents' reports and ratings of pediatric health care vary by race/ethnicity and language in Medicaid managed care.
The data analyzed are from the National Consumer ...Assessment of Health Plans (CAHPS) Benchmarking Database 1.0 and consist of 9,540 children enrolled in Medicaid managed care plans in Arkansas, Kansas, Minnesota, Oklahoma, Vermont, and Washington state from 1997 to 1998.
The data were collected by telephone and mail, and surveys were administered in Spanish and English. The mean response rate for all plans was 42.1 percent.
Data were analyzed using multiple regression models. The dependent variables are CAHPS 1.0 ratings (personal doctor, specialist, health care, health plan) and reports of care (getting needed care, timeliness of care, provider communication, staff helpfulness, plan service). The independent variables are race/ethnicity (white, African American, American Indian, Asian, and Hispanic), Hispanic language (English or Spanish), and Asian language (English or other), controlling for gender, age, education, and health status.
Racial/ethnic minorities had worse reports of care than whites. Among Hispanics and Asians language barriers had a larger negative effect on reports of care than race/ethnicity. For example, while Asian non-English-speakers had lower scores than whites for staff helpfulness (beta = -20.10), timeliness of care (beta = -18.65), provider communication (beta = -17.19), plan service (beta = -10.95), and getting needed care (beta = -8.11), Asian English speakers did not differ significantly from whites on any of the reports of care. However, lower reports of care for racial/ethnic groups did not translate necessarily into lower ratings of care.
Health plans need to pay increased attention to racial/ethnic differences in assessments of care. This study's finding that language barriers are largely responsible for racial/ethnic disparities in care suggests that linguistically appropriate health care services are needed to address these gaps.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
The nursing home (NH) industry operates within a two-tiered system, wherein high Medicaid NHs which disproportionately serve marginalized populations, exhibit poorer quality of care and financial ...performance. Utilizing the resource-based view of the firm, this study aimed to investigate the association between electronic health record (EHR) implementation and financial performance in high Medicaid NHs. A positive correlation could allow high Medicaid NHs to leverage technology to enhance efficiency and financial health, thereby establishing a business case for EHR investments.
Data from 2017 to 2018 were sourced from mail surveys sent to the Director of Nursing in high Medicaid NHs (defined as having 85% or more Medicaid census, excluding facilities with over 10% private pay or 8% Medicare), and secondary sources like LTCFocus.org and Centers for Medicare & Medicaid Services cost reports. From the initial sample of 1,050 NHs, a 37% response rate was achieved (391 surveys). Propensity score inverse probability weighting was used to account for potential non-response bias. The independent variable, EHR Implementation Score (EIS), was calculated as the sum of scores across five EHR functionalities-administrative, documentation, order entry, results viewing, and clinical tools-and reflected the extent of electronic implementation. The dependent variable, total margin, represented NH financial performance. A multivariable linear regression model was used, adjusting for organizational and market-level control variables that may independently affect NH financial performance.
Approximately 76% of high Medicaid NHs had implemented EHR either fully or partially (n = 391). The multivariable regression model revealed that a one-unit increase in EIS was associated with a 0.12% increase in the total margin (p = 0.05, CI: -0.00-0.25).
The findings highlight a potential business case -long-term financial returns for the initial investments required for EHR implementation. Nonetheless, policy interventions including subsidies may still be necessary to stimulate EHR implementation, particularly in high Medicaid NHs.
To examine racial/ethnic group differences in adults' reports and ratings of care using data from the National Consumer Assessment of Health Plans (CAHPS) survey Benchmarking Database (NCBD) 1.0.
...Adult data from the NCBD 1.0 is comprised of CAHPS 1.0 survey data from 54 commercial and 31 Medicaid health plans from across the United States. A total of 28,354 adult respondents (age > or = 18 years) were included in this study. Respondents were categorized as belonging to one of the following racial/ethnic groups: Hispanic (n = 1,657), white (n = 20,414), black or African American (n = 2,942), Asian and Pacific Islander (n = 976), and American Indian or Alaskan native (n = 588).
Four single-item global ratings (personal doctor, specialty care, overall rating of health plan, and overall rating of health care) and five multiple-item report composites (access to needed care, provider communication, office staff helpfulness, promptness of care, and health plan customer service) from CAHPS 1.0 were examined. Statistical Analyses. Multiple regression models were estimated to assess differences in global ratings and report composites between whites and members of other racial/ethnic groups, controlling for age, gender, perceived health status, educational attainment, and insurance type.
Members of racial/ethnic minority groups, with the exception of Asians/Pacific Islanders, reported experiences with health care similar to those of whites. However, global ratings of care by Asians/Pacific Islanders are similar to those of whites.
Improvements in quality of care for Asians/Pacific Islanders are needed. Comparisons of care in racially and ethnically diverse populations based on global ratings of care should be interpreted cautiously.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Objective. Consumer assessments of health care provide important information about how well health plans and clinicians meet the needs of the people they serve. The purpose of this study was to ...examine whether consumer reports and ratings of care in Medicaid managed care vary by race/ethnicity and language.
Data Sources. Data were derived from the National CAHPS® Benchmarking Database (NCBD) 3.0 and consisted of 49,327 adults enrolled in Medicaid managed care plans in 14 states in 2000.
Data Collection. The CAHPS® data were collected by telephone and mail. Surveys were administered in Spanish and English. The response rate across plans was 38 percent.
Study Design Data were analyzed using linear regression models. The dependent variables were CAHPS® 2.0 global rating items (personal doctor, specialist, health care, health plan) and multi‐item reports of care (getting needed care, timeliness of care, provider communication, staff helpfulness, plan service). The independent variables were race/ethnicity, language spoken at home (English, Spanish, Other), and survey language (English or Spanish). Survey respondents were assigned to one of nine racial/ethnic categories based on Hispanic ethnicity and race: White, Hispanic/Latino, Black/African American, Asian/Pacific Islanders, American Indian/Alaskan native, American Indian/White, Black/White, Other Multiracial, Other Race/Ethnicity. Whites, Asians, and Hispanics were further classified into language subgroups based on the survey language and based on the language primarily spoken at home. Covariates included gender, age, education, and self‐rated health.
Principal Findings. Racial/ethnic and linguistic minorities tended to report worse care than did whites. Linguistic minorities reported worse care than did racial and ethnic minorities.
Conclusions This study suggests that racial and ethnic minorities and persons with limited English proficiency face barriers to care, despite Medicaid‐enabled financial access. Health care organizations should address the observed disparities in access to care for racial/ethnic and linguistic minorities as part of their quality improvement efforts.
Nursing homes (NHs) serve as a safety net for vulnerable populations such as older adults and people with disabilities. Nursing Home Administrators (NHAs) play a crucial role in managing the daily ...operations of NHs, including overseeing direct care staff and establishing the facility's strategic direction. Unfortunately, NHs have consistently faced high NHA turnover rates, which have been linked to poor organizational performance. This study aims to investigate the relationship between NHA turnover and financial performance in NHs.
Using an integrated perspective based on the upper echelons theory and the resource-based view of the firm, we investigated the association between NHA turnover and financial peformance using multiple secondary data sources, such as the Care Compare: Skilled Nursing Facility Quality Reporting Program and Brown University's Long Term Care Focus. We conducted a cross-sectional study using a multivariate linear regression model, measuring financial performance using operating margin while NHA turnover represents the number of administrators that left the organization.
Our findings indicate that NHs with higher NHA turnover rates have lower operating margins. Specifically, compared to facilities with no turnover, one NHA turnover is associated with a 1.14% decrease in operating margin, and two or more turnovers are associated with a 2.25% decrease.
This study contributes to the existing literature by demonstrating the financial impact of NHA turnover and provides further evidence of the need for targeted organizational and policy interventions to improve NHA retention.
Purpose of the study: Studies have shown that patient safety culture (PSC) is poorly developed in nursing homes (NHs), and, therefore, residents of NHs may be at risk of harm. Using Donabedian's ...Structure-Process-Outcome (SPO) model, we examined the relationships among top management's ratings of NH PSC, a process of care, and safety outcomes. Design and Methods: Using top management's responses from a nationally representative sample of 3,557 NHs on the 2008 Nursing Home Survey on PSC, the Online Survey, Certification, and Reporting Database, and the Minimum Data Set, we examined the relationships among the three components of Donabedian's SPO model: structure (PSC), a process of care (physical restraints), and patient safety outcomes (residents who fell). Results: Results from generalized estimating equations indicated that higher ratings of PSC were significantly related to lower prevalence of physical restraints (odds ratio OR = 0.997, 95% confidence interval CI = 0.995-0.999) and residents who fell (OR = 0.999, 95% CI = 0.998-0.999). Physical restraint use was related to falls after controlling for structural characteristics and PSC (OR = 1.698, 95% CI = 1.619-1.781). Implications: These findings can contribute to the development of PSC in NHs and promote improvements in health care that can be measured by process of care and resident outcomes.
Objective:
This study examines the relationship between increasing certified nursing assistants (CNAs) and licensed nurse staffing ratios and deficiencies in Florida nursing homes over a 4-year ...period.
Methods:
Data from Florida staffing reports and the Online Survey Certification and Reporting database examine the relationship among staffing levels and deficiency citations for 663 Florida nursing homes between 2002 and 2005. Using a generalized estimating equation approach in SAS Proc Genmod, we estimate the relationship between CNA and licensed nursing staff, and facilities' total deficiency score and quality of care deficiency scores-calculated using the Centers for Medicare and Medicaid Services' Nursing Home Compare Five-Star Quality Rating System, which accounts for the complexity of the scope and severity of the cittions.
Results:
Our results confirmed that higher CNA staffing levels were predictors of lower total deficiency scores and quality of care deficiency scores after controlling for facility characteristics.
Conclusion:
With a large sample size, repeated measure design, and advanced methods, we have found a relationship between CNA staffing and nursing home quality.
Due to a limited number of studies with generalizable findings on the relationships between market conditions and RN staffing levels in hospitals, this study examined such relationships employing a ...longitudinal design with a representative national sample.
We used longitudinal panel datasets from 2006 to 2010, drawn from various datasets including the American Hospital Association Annual Survey Database and the Area Health Resource File. A random-effects linear regression model was used to measure the influence of market conditions on RN staffing levels.
The results of this study showed that market conditions were significantly associated with RN staffing levels in hospitals. First, an increase in per capita income and being located in urban rather than rural areas were associated with a greater number of RNs per 1,000 inpatient days and a higher ratio of RNs to LPNs and nursing aides. In addition, an increase in the number of physician specialists was associated with an increase in the number of RNs per 1,000 inpatient days. Second, an increase in Medicare HMO penetration in the environment was related to an increase in the RNs to LPNs and nursing aides ratio. Lastly, an increase in market competition was associated with an increase in the number RNs per 1,000 inpatient days and the ratio of RNs to LPNs and nursing aides.
The findings of this study suggest that staffing decision makers in hospitals should consider how to best align their RN staffing levels with their operating environment. In addition, health policy makers may improve the levels the RN supply in communities that needs more RNs by modulating external environmental forces (eg, specialist resources) that influence RN staffing levels in hospitals.
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