# Assessing Hospital Quality of Care for Patients with Multimorbidity

> **NIH NIH R01** · CHILDREN'S HOSP OF PHILADELPHIA · 2021 · $510,297

## Abstract

Abstract
At present, it is difficult for hospitals to assess the care of their multimorbid (MM) patients. Since multimorbidity
is by definition individualized by many possible combinations of comorbidities and principal diagnoses, any
single hospital cannot determine whether their care was optimal for their MM patients, since hospitals do not
have access to closely matched controls from other hospitals that may provide insight into how their own MM
patients may have fared at other institutions. Since multimorbid patients are far sicker than other patients, it
may also be easy to dismiss individual poor outcomes as merely part of the natural pathway associated with
multimorbidity. The goal of this proposal is to aid hospitals in observing how their MM patient outcomes differ
from similar patients treated at other institutions. Using new definitions of MM in hospitalized surgical and
medical patients that specifically define single, double and triple combinations of comorbidities that comprise
qualifying comorbidity sets, this study examines whether hospitals vary in their ability to optimally treat MM
patients. Results from this study will be directly actionable as an aid to inform hospitals how they fare with their
specific MM patients as compared to how their patients may have fared elsewhere. The project will use
Medicare claims from the entire country through the new CMS VRDC (Virtual Data Research Center), thereby
facilitating a large control group to make close comparisons for any given hospital's patients, and apply new
methods in multivariate matching (Indirect Standardization Matching "ISM") developed by the investigators, to
examine quality of care for MM patients. Using ISM, we will produce 10 “copies” (or control patients matched
from patients admitted to hospitals outside the index hospital) for each MM patient at an index hospital,
allowing for close matching of specific qualifying comorbidity sets, and close examination of how well the
hospital treats MM patients compared to the closest matched patients selected from other hospitals. Using
multivariate matching, we will also examine hospital characteristics that may be associated with better
outcomes in MM patients. The project has 4 aims: AIM 1: For every hospital performing study conditions or
procedures, determine if their MM patient outcomes are significantly different than matched controls. Two
control populations will be utilized, a representative control population and a control population selected from
hospitals with a combination of characteristics associated with superior outcomes (derived from AIM 2). AIM 2:
Identify types of hospitals that have especially good or especially poor outcomes when treating MM patients as
compared to other closely matched patients derived from two control populations at other hospitals. AIM 3 will
examine specific patient qualifying comorbidity sets that present the greatest problems for a hospital (or type of
hospital). Finally, AIM 4 will de...

## Key facts

- **NIH application ID:** 10216163
- **Project number:** 5R01AG060928-03
- **Recipient organization:** CHILDREN'S HOSP OF PHILADELPHIA
- **Principal Investigator:** JEFFREY H SILBER
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $510,297
- **Award type:** 5
- **Project period:** 2019-08-01 → 2024-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10216163

## Citation

> US National Institutes of Health, RePORTER application 10216163, Assessing Hospital Quality of Care for Patients with Multimorbidity (5R01AG060928-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10216163. Licensed CC0.

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