Health Status of US Patients With One or More Health Conditions
Using a Novel Electronic Patient-reported Outcome Measure Producing Single Metric Measures
Bibliographic Data
| ID | 9104048 |
|---|---|
| Authors | Xin Zhang (0000-0003-0184-5868, Conference Board, corresponding author), Karin M Vermeulen (0000-0001-9257-2791, Conference Board), Paul F M Krabbe (0000-0001-6042-1243, Conference Board) |
| Year | 2023 |
| Volume | 61 |
| Issue | 11 |
| Pages | 765-771 |
| Publication date | 2023-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000001919 |
| PMID | 37708354 |
| OpenAlex | W4386728940 |
| Language | EN |
| References cited | 32 |
BACKGROUND: Most existing research studying health status impacted by morbidity has focused on a specific health condition, and most instruments used for measuring health status are neither patient-centered nor preference-based. This study aims to report on the health status of patients impacted by one or more health conditions, measured by a patient-centered and preference-based electronic patient-reported outcome measure. METHODS: A cross-sectional study was conducted among patients with one or more health conditions in the United States. A novel generic, patient-centered, and preference-based electronic patient-reported outcome measure: Château Santé-Base, was used to measure health status. Individual health state was expressed as a single metric number (value). We compared these health-state values between sociodemographic subgroups, between separate conditions, between groups with or without comorbidity, and between different combinations of multimorbidity. RESULTS: The total sample comprised 3913 patients. Multimorbidity was present in 62% of the patients. The most prevalent health conditions were pain (50%), fatigue/sleep problems (40%), mental health problems (28%), respiratory diseases (22%), and diabetes (18%). The highest (best) and lowest health-state values were observed in patients with diabetes and mental health problems. Among combinations of multimorbidity, the lowest values were observed when mental health problems were involved, the second lowest values were observed when fatigue/sleep problems and respiratory diseases coexisted. CONCLUSIONS: This study compared health status across various single, and multiple (multimorbidity and comorbidity) health conditions directly, based on single metric health-state values. The insights are valuable in clinical practice and policy-making
Environmental health · MEDLINE · Political science · Chronic Disease Management Strategies · Diabetes Management and Education · Medicine · Primary Care and Health Outcomes
Comorbidity or multimorbidity
Multimorbidity
Assessment of Quality-of-Life Outcomes
The European Organization for Research and Treatment of Cancer QLQ-C30
The MOS 36-ltem Short-Form Health Survey (SF-36)
Health-related quality of life among general practice patients with differing chronic diseases in Germany
Validation of the EQ-5D in a general population sample in urban China
Examination of individual and multiple comorbid conditions and health-related quality of life in older cancer survivors
Emotional problems and health-related quality of life
Multimorbidity is Associated With Better Quality of Care Among Vulnerable Elders
Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization
The Relationship of 60 Disease Diagnoses and 15 Conditions to Preference-Based Health-Related Quality of Life in Ontario Hospital-Based Long-Term Care Residents
Socio-economic and demographic variation in health and in its measures
Perceived social support and health-related quality of life in older adults who have multiple chronic conditions and their caregivers
| Citation velocity | historical |
|---|---|
| Highly cited | No |