1
|
Schneberk T, Bolshakova M, Sloan K, Chang E, Stal J, Dinalo J, Jimenez E, Motala A, Hempel S. Quality Indicators for High-Need Patients: a Systematic Review. J Gen Intern Med 2022; 37:3147-3161. [PMID: 35260956 PMCID: PMC9485370 DOI: 10.1007/s11606-022-07454-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 02/03/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Healthcare systems are increasingly implementing programs for high-need patients, who often have multiple chronic conditions and complex social situations. Little, however, is known about quality indicators that might guide healthcare organizations and providers in improving care for high-need patients. We sought to conduct a systematic review to identify potential quality indicators for high-need patients. METHODS This systematic review (CRD42020215917) searched PubMed, CINAHL, and EMBASE; guideline clearing houses ECRI and GIN; and Google scholar. We included publications suggesting, evaluating, and utilizing indicators to assess quality of care for high-need patients. Critical appraisal of the indicators addressed the development process, endorsement and adoption, and characteristics, such as feasibility. We standardized indicators by patient population subgroups to facilitate comparisons across different indicator groups. RESULTS The search identified 6964 citations. Of these, 1382 publications were obtained as full text, and 53 studies met inclusion criteria. We identified over 1700 quality indicators across studies. Quality indicator characteristics varied widely. The scope of the selected indicators ranged from detailed criterion (e.g., "annual eye exam") to very broad categories (e.g., "care coordination"). Some publications suggested disease condition-specific indicators (e.g., diabetes), some used condition-independent criteria (e.g., "documentation of the medication list in the medical record available to all care agencies"), and some publications used a mixture of indicator types. DISCUSSION We identified and evaluated existing quality indicators for a complex, heterogeneous patient group. Although some quality indicators were not disease-specific, we found very few that accounted for social determinants of health and behavioral factors. More research is needed to develop quality indicators that address patient risk factors.
Collapse
Affiliation(s)
- Todd Schneberk
- Gehr Center for Health Systems Science and Innovation, Keck School of Medicine, University of Southern California, GNH 1011, 1200 N State Street Rm 1011, Los Angeles, CA, 90033, USA.
| | - Maria Bolshakova
- Southern California Evidence Review Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kylie Sloan
- Southern California Evidence Review Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Evelyn Chang
- VA Greater Los Angeles Healthcare System, Sepulveda, CA, USA
| | - Julia Stal
- Southern California Evidence Review Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jennifer Dinalo
- Southern California Evidence Review Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elvira Jimenez
- VA Greater Los Angeles Healthcare System, Sepulveda, CA, USA
| | - Aneesa Motala
- Gehr Center for Health Systems Science and Innovation, Keck School of Medicine, University of Southern California, GNH 1011, 1200 N State Street Rm 1011, Los Angeles, CA, 90033, USA
- Southern California Evidence Review Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Susanne Hempel
- Gehr Center for Health Systems Science and Innovation, Keck School of Medicine, University of Southern California, GNH 1011, 1200 N State Street Rm 1011, Los Angeles, CA, 90033, USA
- Southern California Evidence Review Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
2
|
Maxwell CA, Miller RS, Dietrich MS, Mion LC, Minnick A. The Aging of America: A Comprehensive Look at over 25,000 Geriatric Trauma Admissions to United States Hospitals. Am Surg 2015; 81:630-6. [DOI: 10.1177/000313481508100630] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
A 2001 study on geriatric trauma by trauma center (TC) status was based on 1989 Medicare data. The purpose of this study was to compare 1989 findings with a 2009 sample, and to examine patient characteristics and outcomes by TC status. From 2009 Healthcare Cost and Utilization Project Nationwide Inpatient Sample (HCUP NIS) data, we examined a geographically representative sample ( n = 25,512) of injured older adults (>/= age 65) admitted to 127 TCs and non-TCs in 24 states. Data analysis included descriptive statistics for eight patient characteristics and four outcome variables (mortality, discharge disposition, length of stay, and total charges). χ2 tests were conducted to examine differences between 1989 and 2009 for age groups, gender, and mortality. Higher percentages of patients were in older age groups in 2009, however mortality declined overall (4.8% vs 3.4%, P < .001). Consistent incremental patterns of differences were observed among TC levels for all patient characteristics and outcomes. Level I TCs admitted highest percentages of: lower age groups, males, nonwhite race, motor-vehicle related trauma, and intracranial injuries. Non-TCs admitted highest percentages of oldest age groups, comorbidities, falls, femur neck fractures, and patients requiring OR procedures. Although Level I TCs had higher lengths of stay and total charges, a higher percentage of patients were discharged home. Despite a growing number of patients in older age groups, inpatient mortality declined over two decades. Level I TCs are managing patients at highest risk for decompensation and mortality; a significant percentage of patients are going to non-TCs.
Collapse
Affiliation(s)
| | - Richard S. Miller
- Division and Trauma and Surgical Critical Care, Nashville, Tennessee
| | | | | | | |
Collapse
|