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Trends in Preventable Hospitalization Rates for Children With or Without Observation Stay Data
Yao Tian1,2, Michelle L Macy3,4,5, Jason M Hockenberry6
1Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Insights
Potentially preventable hospitalizations for children decreased when observation stays were excluded. Including observation data reveals slower declines or reversals, highlighting the need for standardized reporting of all pediatric hospital stays.
Area of Science:
- Pediatric Quality Indicators
- Health Services Research
- Public Health Surveillance
Background:
- Potentially preventable hospitalization rates are key quality indicators for pediatric primary and ambulatory care.
- Current trends may be skewed by the exclusion of observation status data, a common designation for pediatric hospital stays.
Purpose of the Study:
- To evaluate the impact of excluding observation stay data on the calculation of pediatric potentially preventable hospitalization rates over time.
- To assess how trends in these rates differ when using inpatient-only versus combined inpatient and observation data.
Main Methods:
- Retrospective cross-sectional study using Healthcare Cost and Utilization Project databases (2010-2019).
- Analyzed inpatient and observation stays for pediatric ambulatory care sensitive conditions (ACSCs) across multiple states.
- Calculated composite hospitalization rates per 100,000 children using both inpatient-only and combined data.
Main Results:
- The use of observation stays increased significantly from 2010 (30.2%) to 2019 (45.7%).
- Inpatient-only data showed steeper declines in composite hospitalization rates (-6.8% annually) compared to combined data (-4.5% annually).
- Excluding observation stays attenuated or reversed observed declines in pediatric ACSC hospitalization rates at state and county levels.
Conclusions:
- Observed decreases in pediatric potentially preventable hospitalizations are partly due to a shift towards observation status rather than true reductions.
- Standardized inclusion of observation stay data is crucial for accurate disease surveillance, policy evaluation, and informed healthcare decision-making.
- Accurate quality indicator calculation requires comprehensive data, including both inpatient and observation stays.
Importance:
Potentially preventable hospitalization rates are widely endorsed quality indicators that have been used to evaluate the impact of policies on access to high-quality primary and ambulatory care for children. Although potentially preventable hospitalization rates have been decreasing, little is known about how these trends are associated with the exclusive reliance on inpatient data, which omit observation status, a common designation for pediatric hospital stays.
Objective:
To assess the implications of omitting observation stay data on potentially preventable hospitalization rate calculations over time.
Design, Setting, And Participants:
In this retrospective cross-sectional study, inpatient and observation stays for patients aged 6 to 17 years related to pediatric ambulatory care sensitive conditions (ACSCs), were identified from the Healthcare Cost and Utilization Project state-specific databases from Georgia, Iowa, Maryland, Nebraska, and Vermont, 2010 to 2019, and from Wisconsin, 2012 to 2019. The units of analysis include an overall aggregate level, state level, and county level. Data were analyzed from February to November 2024.
Main Outcome And Measures:
The main outcome was the pediatric quality indicator overall composite of potentially preventable hospitalization rates (hereafter the composite hospitalization rate) and was calculated using inpatient-only and combined (ie, inpatient and observation) hospital stay data per 100 000 children.
Results:
Among a total of 64 846 identified hospital stays (median [IQR] age, 10 [8-14] years for inpatient stays and 10 [7-13] for observation stays; 32 733 [50.5%] male; 573 [0.9%] Asian or Pacific Islander, 20 042 [30.9%] Black, 3413 [5.3%] Hispanic, 168 [0.3%] American Indian or Alaska Native, 22 970 [35.4%] White, and 1842 [2.8%] Other), 22 275 (34.4%) were observation stays. The use of observation stays grew from 2090 of 6923 stays (30.2%) in 2010 to 2525 of 5531 stays (45.7%) in 2019. When using inpatient-only data, the overall aggregate-level composite hospitalization rate per 100 000 children was 141.7 in 2010 and decreased to 71.0 in 2019, and the annual percentage change was -6.8% (95% CI, -6.8% to -6.8%; P < .001). When using combined data, the composite hospitalization rate was 203.0 in 2010 and 130.7 in 2019, respectively, with an annual percentage change of -4.5% (95% CI, -4.5% to -4.5%; P < .001). Most state-level and county-level composite hospitalization rates exhibited declining trends when using inpatient-only data. After combining observation stay data, the declines were attenuated or even reversed in some cases.
Conclusion And Relevance:
Decreases in the composite hospitalization rate for pediatric ACSCs were associated with the shifting of patient status from inpatient to observation stays. These findings emphasize the need for standardized reporting and inclusion of observation stay data to support disease surveillance, policy evaluation, and decision-making.
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