Dataset Information

Hospital quality measures: are process indicators associated with hospital standardized mortality ratios in French acute care hospitals?

ABSTRACT:

Background

Results of associations between process and mortality indicators, both used for the external assessment of hospital care quality or public reporting, differ strongly across studies. However, most of those studies were conducted in North America or United Kingdom. Providing new evidence based on French data could fuel the international debate on quality of care indicators and help inform French policy-makers. The objective of our study was to explore whether optimal care delivery in French hospitals as assessed by their Hospital Process Indicators (HPIs) is associated with low Hospital Standardized Mortality Ratios (HSMRs).

Methods

The French National Authority for Health (HAS) routinely collects for each hospital located in France, a set of mandatory HPIs. Five HPIs were selected among the process indicators collected by the HAS in 2009. They were measured using random samples of 60 to 80 medical records from inpatients admitted between January 1st, 2009 and December 31, 2009 in respect with some selection criteria. HSMRs were estimated at 30, 60 and 90 days post-admission (dpa) using administrative health data extracted from the national health insurance information system (SNIIR-AM) which covers 77% of the French population. Associations between HPIs and HSMRs were assessed by Poisson regression models corrected for measurement errors with a simulation-extrapolation (SIMEX) method.

Results

Most associations studied were not statistically significant. Only two process indicators were found associated with HSMRs. Completeness and quality of anesthetic records was negatively associated with 30 dpa HSMR (0.72 [0.52-0.99]). Early detection of nutritional disorders was negatively associated with all HSMRs: 30 dpa HSMR (0.71 [0.54-0.95]), 60 dpa HSMR (0.51 [0.39-0.67]) and 90 dpa HSMR (0.52 [0.40-0.68]).

Conclusion

In absence of gold standard of quality of care measurement, the limited number of associations suggested to drive in-depth improvements in order to better determine associations between process and mortality indicators. A smart utilization of both process and outcomes indicators is mandatory to capture aspects of the hospital quality of care complexity.

SUBMITTER: Ngantcha M

PROVIDER: S-EPMC5568353 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Hospital quality measures: are process indicators associated with hospital standardized mortality ratios in French acute care hospitals?

Ngantcha Marcus M Le-Pogam Marie-Annick MA Calmus Sophie S Grenier Catherine C Evrard Isabelle I Lamarche-Vadel Agathe A Rey Grégoire G

BMC health services research 20170822 1

<h4>Background</h4>Results of associations between process and mortality indicators, both used for the external assessment of hospital care quality or public reporting, differ strongly across studies. However, most of those studies were conducted in North America or United Kingdom. Providing new evidence based on French data could fuel the international debate on quality of care indicators and help inform French policy-makers. The objective of our study was to explore whether optimal care delive ...[more]

PMID: 28830422

Similar Datasets

Project description:BackgroundAcute coronary syndrome (ACS) remains the leading cause of cardiovascular disease mortality and morbidity worldwide. While the management quality measures and clinical outcomes of patients with ACS have been evaluated widely in developed countries, inadequate data are available from sub-Saharan Africa countries. So, this study aimed to assess the clinical profiles, management quality indicators, and in-hospital outcomes of patients with ACS in Ethiopia.MethodsA Prospective observational study was conducted at two tertiary hospitals in Ethiopia from March 2018 to November 2018. The primary outcome of the study was in-hospital mortality. Data were analyzed using SPSS version 23.0. Multivariable cox-regression was conducted to identify predictors of time to in-hospital mortality. Variable with p -value < 0.05 was considered statistically significant.ResultsAmong 181 ACS patients enrolled, about (61%) were presented with ST-elevation myocardial infarction (STEMI). The mean age of the study participant was 55.8 ± 11.9 years and 62.4% were males. The use of guideline-directed medications within 24 h of hospitalization were sub-optimal (57%) [Dual antiplatelet (73%), statin (74%), beta-blocker (67%) and ACEI (61%)]. Only (7%) ACS patients received the percutaneous coronary intervention (PCI). Discharge aspirin and statin were high (> 90%) while other medications were sub-optimal (< 80%). The all-cause in-hospital mortality rate was 20.4% and the non-fatal MACE rate was 25%. Rural residence (AHR: 3.64, 95% CI: 1.81-7.29), symptom onset to hospital arrival > 12 h (AHR: 4.23, 95% CI: 1.28-13.81), and Cardiogenic shock (AHR: 7.20, 95% CI: 3.55-14.55) were independent predictors of time to in-hospital death among ACS patients.ConclusionIn the present study, the use of guideline-directed in-hospital medications was sub-optimal. The overall in-hospital mortality rate was unacceptably high and highlights the urgent need for national quality-improvement focusing on timely initiation of evidence-based medications, reperfusion therapy, and strategies to reduce pre-hospital delay.

Project description:BACKGROUND:Pneumonia has a high human toll and a substantial economic burden in developed countries like Japan, where the crude mortality rate was 77.7 per 100,000 people in 2017. As this trend is going to continue with increasing number of the elderly multi-morbid population in Japan; monitoring performance over time is a social need to alleviate the disease burden. The study objective was to determine the characteristics of hospital standardized mortality ratios (HSMRs) for pneumonia in Japan from 2010 to 2018 to describe this trend. METHODS:Data of the DPC (Diagnostic Procedures Combination) database were used, which is an administrative claims and discharge summary database for acute care in-patients in Japan. HSMRs were calculated using the actual and expected numbers of in-hospital deaths, the latter of which was calculated using logistic regression model, with a number of explanatory variables, e.g., age, sex, urgency of admission, mode of transportation, patient volume per month in each hospital, A-DROP score, and Charlson comorbidity index (CCI). We constructed two HSMR models: a single-year model, which included hospitals with > 10 in-patients per month and, a 9-year model, which included those hospitals with complete 9-year data. Predictive accuracy of the logistic models was assessed using c-index (area under receiver operating curve). RESULTS:Total 230,372 patients were included for the analysis over the 9-year study period. Calculated HSMRs showed wide variation among hospitals. The proportion of hospitals with HSMR less than 100 increased from 36.4% in 2010 to 60.6% in 2018. Both models showed good predictive ability with a c-statistic of 0.762 for the 9-year model, and no less than 0.717 for the single-year model. CONCLUSION:This study denoted that HSMRs of pneumonia can be calculated using DPC data in Japan and revealed significant variations among hospitals with comparable case-mixes. Therefore, HSMR can be used as yet another measure to help improve quality of care over time if other indicators are examined in parallel and to get a clear picture of where hospitals excel and lack.

Project description:The few available studies of the Centers for Medicare and Medicaid Services Hospital Inpatient Quality Reporting (IQR) care process indicators have not linked receipt of recommended care processes in heart failure (HF) with lower mortality. Because the Veterans Health Administration (VHA) also tracks hospital inpatient quality reporting indicators, in addition to VHA-specific inpatient (pneumococcal and influenza vaccination) and outpatient (angiotensin-converting enzyme inhibitor [ACEI] or angiotensin receptor blocker [ARB] use for left ventricular [LV] dysfunction and LV function documentation) care process indicators, we examined the association between receipt of these care processes and 30-day and 1-year mortality.Retrospective study of 107,045 patients with HF treated at 128 VHA hospitals between 2001 and 2007 and followed up through 2008. We assessed the relationship between receipt of each HF care process and death at 30 days (inpatients only) and 1 year (all patients), using generalized estimating equations to adjust for clinical characteristics and clustering within hospitals.Overall, inpatient/outpatient use of ACEI/ARB and receipt of pneumococcal or influenza vaccinations were related to lower risks of 30-day and/or 1-year mortality (adjusted odds ratios 0.51-0.77 for vaccinations and 0.60-0.78 for ACEI/ARB use). Conversely, discharge instructions, inpatient/outpatient LV function assessment, or weight instructions before admission were either not related or related to a slightly increase in mortality. Stratified analyses by various mortality risk subgroups did not reveal discernable "dose-response" relationship between mortality risk stratification and the association of care process and mortality.Receipt of care processes related to recommended medications and vaccinations were associated with lower 30-day and/or 1-year risk-adjusted mortality in patients with HF. Receipt of care processes that assess patient counseling or chart documentation was not related to lower mortality.

Project description:BackgroundMost epidemiological risk indicators strongly depend on the age composition of populations, which makes the direct comparison of raw (unstandardized) indicators misleading because of the different age structures of the spatial units of study. Age-standardized rates (ASR) are a common solution for overcoming this confusing effect. The main drawback of ASRs is that they depend on age-specific rates which, when working with small areas, are often based on very few, or no, observed cases for most age groups. A similar effect occurs with life expectancy at birth and many more epidemiological indicators, which makes standardized mortality ratios (SMR) the omnipresent risk indicator for small areas epidemiologic studies.MethodsTo deal with this issue, a multivariate smoothing model, the M-model, is proposed in order to fit the age-specific probabilities of death (PoDs) for each spatial unit, which assumes dependence between closer age groups and spatial units. This age-space dependence structure enables information to be transferred between neighboring consecutive age groups and neighboring areas, at the same time, providing more reliable age-specific PoDs estimates.ResultsThree case studies are presented to illustrate the wide range of applications that smoothed age specific PoDs have in practice . The first case study shows the application of the model to a geographical study of lung cancer mortality in women. This study illustrates the convenience of considering age-space interactions in geographical studies and to explore the different spatial risk patterns shown by the different age groups. Second, the model is also applied to the study of ischaemic heart disease mortality in women in two cities at the census tract level. Smoothed age-standardized rates are derived and compared for the census tracts of both cities, illustrating some advantages of this mortality indicator over traditional SMRs. In the latest case study, the model is applied to estimate smoothed life expectancy (LE), which is the most widely used synthetic indicator for characterizing overall mortality differences when (not so small) spatial units are considered.ConclusionOur age-space model is an appropriate and flexible proposal that provides more reliable estimates of the probabilities of death, which allow the calculation of enhanced epidemiological indicators (smoothed ASR, smoothed LE), thus providing alternatives to traditional SMR-based studies of small areas.

Dataset Information

Hospital quality measures: are process indicators associated with hospital standardized mortality ratios in French acute care hospitals?

Background

Methods

Results

Conclusion

Publications

Hospital quality measures: are process indicators associated with hospital standardized mortality ratios in French acute care hospitals?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure