Diagnostic value and reliability of the present-on-admission indicator in different diagnosis groups: pilot study at a Swiss tertiary care center

The Usefulness of Present-on-Admission Data as an Indicator of Healthcare Quality Evaluation Using the Korean National Hospital Discharge in-Depth Injury Survey Data from 2006 to 2019

Purpose

Comorbidities of a principal diagnosis have varying impacts on disease and require different management depending on the onset timing. This study investigated the usefulness of present-on-admission (POA), specifically focusing on decubitus ulcers, delirium, and hypokalemia, as an indicator of healthcare quality.

Patients and Methods

We analyzed patient discharge data for 14 years from 2006 to 2019 using Korean National Hospital Discharge In-Depth Injury Survey (KNHDIS).

Results

Out of 3,231,731 discharged patients, 19,871 had secondary diagnosis codes for decubitus ulcers (n=10,390, 52.3%), delirium (n=6103, 30.7%), or hypokalemia (n=3378, 17.0%). Analysis of patients with secondary diagnoses of decubitus ulcers, delirium, or hypokalemia revealed notable differences in demographics, including gender distribution, mean age, admission route, insurance type, surgical intervention rates, mortality rates, and length of stay (LOS). Among patients with one of the top 20 principal diagnoses, those with secondary diagnoses of decubitus ulcers, delirium, or hypokalemia exhibited higher odds of surgery, increased mortality risks, and longer LOS compared to those without these secondary diagnoses.

Conclusion

All three of these diseases commonly occur postoperatively or during treatment and thus should be designated as potentially preventable complications that require special attention, and should also be considered as quality-of-care indicators.

Using Potentially Preventable Severe Maternal Morbidity to Monitor Hospital Performance

BACKGROUND

The Centers for Disease Control and Prevention (CDC) measure of severe maternal morbidity (SMM) quantifies the burden of SMM but is not restricted to potentially preventable SMM. The authors adapted the CDC SMM measure for this purpose and evaluated it for use as a hospital performance measure.

METHODS

Guidelines for defining performance SMM (pSMM) were (1) exclusion of preexisting conditions from outcome; (2) exclusion of inconsistently documented outcomes; and (3) risk adjustment for conditions that preceded hospitalization. California maternal hospital discharge data from 2016 to 2017 were used for model development, and 2018 data were used for model testing and evaluation of hospital performance. Separate models were developed for hospital types (Community, Teaching, Integrated Delivery System [IDS], and IDS Teaching), generating model-based expected pSMM values. Observed-to-expected (O/E) ratios were calculated for hospitals and used to categorize them as overperforming, average performing, or underperforming using 95% confidence intervals. Performance categories were compared for pSMM vs. CDC SMM (excluding blood transfusion).

RESULTS

The overall 2016-2018 pSMM rate was 0.44%. All hospital types had over- and underperformers, and the proportions of Community, Teaching, IDS, and IDS Teaching hospitals whose performance differed from their performance on the CDC SMM measure were 12.1%, 25.0%, 38.9%, and 66.7%, respectively.

CONCLUSION

The rate of potentially preventable SMM as defined by pSMM (0.44%) was less than half the previously published rate of CDC SMM (1.03%). pSMM identified differences in performance across hospitals, and pSMM and CDC SMM classified hospitals' performances differently. pSMM may be suitable for hospital comparisons because it identifies potentially preventable, hospital-acquired SMM that should be responsive to quality improvement activities.

Reliability of trauma coding with ICD-10

PURPOSE

The reliability of trauma coding is essential in establishing the reliable trauma data and adopting efficient control and monitoring policies. The present study aimed to determine the reliability of trauma coding in educational hospitals affiliated to Shahid Beheshti University of Medical Sciences, Iran.

METHODS

In this descriptive cross-sectional study, 591 coded medical records with a trauma diagnosis in 2018 were selected and recoded by two coders. The reliability of trauma coding was calculated using Cohen's kappa. The data were recorded in a checklist, in which the validity of the content had been confirmed by experts.

RESULTS

The reliability of the coding related to the nature of trauma in research units was 0.75-0.77, indicating moderate reliability. Also, the reliability of the coding of external causes of trauma was 0.57-0.58, suggesting poor reliability.

CONCLUSION

The reliability of trauma coding both in terms of the nature of trauma and the external causes of trauma does not have a good status in the research units. This can be due to the complex coding of trauma, poor documentation of the cases, and not studying the entire case. Therefore, holding training courses for coders, offering training on the accurate documentation to other service providers, and periodically auditing the medical coding are recommended.

Severe Maternal Morbidity in California Hospitals: Performance Based on a Validated Multivariable Prediction Model

BACKGROUND

Severe maternal morbidity (SMM) is under development as a quality indicator for maternal health care. The aim of this study is to evaluate California hospital performance based on a standardized SMM measure.

METHODS

California maternal hospital delivery discharge data from 2016 to 2017 were used to develop logistic regression models for SMM, adjusted for clinical risk factors at admission. Data from 2018 were used to test the models and evaluate hospital performance. SMM was defined per the Centers for Disease Control and Prevention, including (excluding) blood transfusion. Independent models were developed for each hospital type: community, teaching, integrated delivery system (IDS), and IDS teaching. Within each type, model-based expected SMM values and observed-to-expected (O/E) ratios were calculated for each hospital. For each hospital type, hospitals were ranked by O/E ratio, and over- and underperforming hospitals were identified using 95% confidence intervals.

RESULTS

Rates of SMM including (excluding) transfusion by hospital type were 1.7% (0.9%) for community, 2.7% (1.5%) for teaching, 2.3% (1.2%) for IDS, and 3.0% (1.6%) for IDS teaching hospitals. In higher-volume community hospitals (≥ 500 births/year), the proportion of underperformers including (excluding) transfusion was 20.7% (11.0%). Summing over all hospital types, 25.3% (14.9%) of hospitals were identified as underperformers in that they experienced significantly more SMM events than expected including (excluding) transfusion.

CONCLUSION

California hospital discharge data demonstrated significant hospital variation in standardized childbirth SMM. These data suggest that a standardized SMM measure may help guide and monitor statewide quality improvement efforts.