Approaches to Comparative Effectiveness Research in Multimorbid Populations
Bibliographic Data
| ID | 9104887 |
|---|---|
| Authors | Matthew L Maciejewski (0000-0003-1765-5938, Health Services Research & Development, corresponding author), Elizabeth A Bayliss (0000-0002-5264-0670, University of Colorado Denver) |
| Year | 2014 |
| Volume | 52 |
| Issue | Supplement 2 |
| Pages | S23-S30 |
| Publication date | 2014-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| 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.0000000000000060 |
| PMID | 24561754 |
| OpenAlex | W2318029938 |
| Language | EN |
| Citations received | 2 |
| References cited | 32 |
There is an urgent need for an evidence base to guide care for patients with multiple chronic medical conditions (MCC). Comparative effectiveness research (CER) has been touted as 1 solution to generating such evidence. However, the majority of CER topics and methods are designed to generate evidence applicable to single diseases. Generating evidence to guide the care of MCC populations requires thoughtful, and often alternative, approaches to using the existing armamentarium of CER methods. To initiate a dialog about appropriate methods for CER in MCC populations, we discuss advantages and disadvantages of experimental and quasi-experimental study designs for CER in MCC populations, estimating heterogeneity of treatment effects, developing meaningful outcome measures, and aligning morbidity measurement with relevant outcomes. Through an engaged dialog with clinicians, methodologists, and patients, evidence about strengths and limitations of alternative approaches, recommendations about preferred methods for CER in MCC can be developed to ensure that knowledge gaps are filled by valid evidence
Alternative medicine · Comparative effectiveness research · Dialog box · Evidence-based medicine · Intensive care medicine · MEDLINE · Pathology · Political science · Chronic Disease Management Strategies · Computer Science · Health Systems, Economic Evaluations, Quality of Life · Medicine · Primary Care and Health Outcomes
Cumulative Illness Rating Scale
The self‐administered comorbidity questionnaire
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement
Prevalence, Expenditures, and Complications of Multiple Chronic Conditions in the Elderly
Practical Clinical Trials
Future of Multimorbidity Research
Designing Health Care for the Most Common Chronic Condition—Multimorbidity
Clinical Practice Guidelines and Quality of Care for Older Patients With Multiple Comorbid Diseases
Cumulative complexity
Who Can Respond to Treatment
Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data
Comorbidity Measures for Use with Administrative Data
Confounding Control in Healthcare Database Research
Increasing Levels of Restriction in Pharmacoepidemiologic Database Studies of Elderly and Comparison With Randomized Trial Results
Use of a Self-Report-Generated Charlson Comorbidity Index for Predicting Mortality
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,17 |
| Citation span | 2014 - 2016 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |