Observational studyBMJ open2020
Predicted quality benefits of achievable performance benchmarks of chronic heart failure care in China: results from a nationwide observational study.
Observational study in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Trends in care quality in China from 2011 to 2017: An analysis based on the National Specific (Single) Disease Monitoring System.Journal of global health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to set a data-driven achievable performance benchmark, explore the process-outcome association and speculate about the net gain in quality improvement with benchmarking.
designObservational study.
settingPatient survey conducted at 466 secondary and tertiary hospitals across 31 provinces, autonomous regions and municipalities in China.
participants183 334 patients diagnosed with chronic heart failure (CHF) who were treated at 466 Chinese hospitals from January 2011 through May 2017. PRIMARY INDEPENDENT VARIABLES: Hospital process composite performance (HPCP). SECONDARY INDEPENDENT VARIABLES: Patient-level and hospital-level characteristics. PRIMARY OUTCOME MEASURE: Patients getting better or recovered after treatment, in-hospital mortality, length of hospital stay (LOS) and medical cost.
methodsHPCP was calculated using denominator-based weights. Mixed random-intercept models were used to evaluate the contributions of HPCP on patient outcomes and to speculate quality improvement after adjusting HPCP to benchmark level.
resultsWhen all hospitals were to operate at the benchmark level, the proportion of patients getting better or recovered after treatment would increase in most hospitals, particularly those with low baseline rates. However, there was no evidence for lowering in-hospital mortality, significant savings in cost or shortening LOS.
conclusionsIncreasing the adherence rate of CHF care and closing the gap in HPCP between hospitals have important implications for improving patient condition.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.