The DOI matches its Crossref record.
A Chronic Disease Score with Empirically Derived Weights
Abstract
Different types of medication prescribed during a 6-month period for the treatment and management of chronic conditions were utilized in the refinement and validation of a chronic disease score. Prescription data, in addition to age and sex, were utilized to develop a chronic disease score based on empirically derived weights for each of three outcomes: total cost, outpatient cost, and primary care visits. The ability of the revised chronic disease score to predict health care utilization, costs, hospitalization, and mortality was compared to an earlier version of the chronic disease score (original) that was derived through clinical judgments of disease severity. The predictive validity of the chronic disease score is also compared to ambulatory care groups, which utilize outpatient diagnoses to form mutually exclusive diagnostic categories. Models based on a concurrent 6-month period and a 6-month prospective period (ie, the 6-month period after the chronic disease score or ambulatory care group derivation period) were estimated using a random one half sample of 250,000 managed-care enrollees aged 18 and older. The remaining one half of the enrollee population was used as a validation sample. The revised chronic disease score showed improved estimation and prediction over the original chronic disease score. The difference in variance explained prospectively by the revised chronic disease score versus the ambulatory care groups, conversely, was small. The revised chronic disease score was a better predictor of mortality than the ambulatory care groups. The combination of revised chronic disease score and ambulatory care groups showed only marginally greater predictive power than either one alone. These results suggest that the revised chronic disease score and ambulatory care groups with empirically derived weights provide improved prediction of health care utilization and costs, as well as hospitalization and mortality, over age and sex alone. We recommend the revised chronic disease score with total cost weights for general use as a severity measure because of its relative advantage in predicting mortality compared to the outpatient cost and primary care visit weights.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Impact of Medication Adherence on Hospitalization Risk and Healthcare Cost
Sokol, M. C., McGuigan, K. A., Verbrugge, R. R., & Epstein, R. S. (2005) · Medical Care · doi:10.1097/01.mlr.0000163641.86870.af · Cited by 1,729
Charlson Comorbidity Index: A Critical Review of Clinimetric Properties
Charlson, M. E., Carrozzino, D., Guidi, J., & Patierno, C. (2022) · Psychotherapy and Psychosomatics · doi:10.1159/000521288 · Cited by 1,686
Depression and Diabetes: Impact of Depressive Symptoms on Adherence, Function, and Costs
Ciechanowski, P. S., Katon, W. J., & Russo, J. E. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.21.3278 · Cited by 1,465
Prevalence, burden, and treatment of insomnia in primary care
(1997) · American Journal of Psychiatry · doi:10.1176/ajp.154.10.1417 · Cited by 694
Self-citationHuntley, A. L., Johnson, R., Purdy, S., Valderas, J. M., & Salisbury, C. (2012) · The Annals of Family Medicine · doi:10.1370/afm.1363 · Cited by 619
Medical illness and the risk of suicide in the elderly
Juurlink, D. N., Herrmann, N., Szalai, J. P., Kopp, A., & Redelmeier, D. A. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.11.1179 · Cited by 542
Association of Incident Dementia With Hospitalizations
Phelan, E. A., Borson, S., Grothaus, L., Balch, S., & Larson, E. B. (2012) · JAMA · doi:10.1001/jama.2011.1964 · Cited by 547
Testosterone treatment and mortality in men with low testosterone levels
Shores, M. M., Smith, N. L., Forsberg, C. W., Anawalt, B. D., & Matsumoto, A. M. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-2591 · Cited by 460
Improved clinical outcomes associated with metformin in patients with diabetes and heart failure
Eurich, D. T., Majumdar, S. R., McAlister, F. A., Tsuyuki, R. T., & Johnson, J. A. (2005) · Diabetes Care · doi:10.2337/diacare.28.10.2345 · Cited by 419
Implementing a screening and diagnosis program for dementia in primary care
Boustani, M., Callahan, C. M., Unverzagt, F. W., Austrom, M. G., Perkins, A. J., Fultz, B. A., Hui, S. L., & Hendrie, H. C. (2005) · Journal of General Internal Medicine · doi:10.1007/s11606-005-0103-7 · Cited by 374
Increased Incidence of Diagnosed Depressive Illness in HypogonadalOlder Men
Shores, M. M., Sloan, K. L., Matsumoto, A. M., Moceri, V. M., Felker, B., & Kivlahan, D. R. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.2.162 · Cited by 243
Glasgow, R. E., Nelson, C. C., Kearney, K. A., Reid, R., Ritzwoller, D. P., Strecher, V. J., Couper, M. P., Green, B., & Wildenhaus, K. (2007) · Journal of Medical Internet Research · doi:10.2196/jmir.9.2.e11 · Cited by 216
Depression-related costs in heart failure care
Sullivan, M., Simon, G., Spertus, J., & Russo, J. (2002) · Archives of Internal Medicine · doi:10.1001/archinte.162.16.1860 · Cited by 196
Self-citationSalahudeen, M. S., Hilmer, S. N., & Nishtala, P. S. (2015) · Journal of the American Geriatrics Society · doi:10.1111/jgs.13206 · Cited by 189
The relationship between chronically disrupted sleep and healthcare use
(2002) · Sleep · doi:10.1093/sleep/25.3.289 · Cited by 169
Bosworth, H. B., & Schaie, K. W. (1997) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/52b.5.p197 · Cited by 151
The outcome of physical symptoms with treatment of depression
Greco, T., Eckert, G., & Kroenke, K. (2004) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2004.30531.x · Cited by 145
Sarsour, K., Morin, C. M., Foley, K., Kalsekar, A., & Walsh, J. K. (2010) · Sleep Medicine · doi:10.1016/j.sleep.2009.02.008 · Cited by 121
Cost-effectiveness of a program to prevent depression relapse in primary care
Simon, G. E., Von Korff, M., Ludman, E. J., Katon, W. J., Rutter, C., Unützer, J., Lin, E. H. B., Bush, T., & Walker, E. (2002) · Medical Care · doi:10.1097/00005650-200210000-00011 · Cited by 115
Self-citationGopinath, S., Katon, W. J., Russo, J. E., & Ludman, E. J. (2007) · Journal of Affective Disorders · doi:10.1016/j.jad.2006.10.023 · Cited by 111
Leibson, C. L., Long, K. H., Ransom, J. E., Roberts, R. O., Hass, S. L., Duhig, A. M., Smith, C. Y., Emerson, J. A., Pankratz, V. S., & Petersen, R. C. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.01.007 · Cited by 110
Simon, S. R., Majumdar, S. R., Prosser, L. A., Salem-Schatz, S., Warner, C., Kleinman, K., Miroshnik, I., & Soumerai, S. B. (2005) · The American Journal of Medicine · doi:10.1016/j.amjmed.2004.12.023 · Cited by 87
Effect on disability outcomes of a depression relapse prevention program
Von Korff, M., Katon, W., Rutter, C., Ludman, E., Simon, G., Lin, E., & Bush, T. (2003) · Psychosomatic Medicine · doi:10.1097/01.psy.0000097336.95046.0c · Cited by 81
Self-citationThe structure and health correlates of trait repetitive thought in older adults
Segerstrom, S. C., Roach, A. R., Evans, D. R., Schipper, L. J., & Darville, A. K. (2010) · Psychology and Aging · doi:10.1037/a0019456 · Cited by 68
Rovner, B. W., Casten, R. J., Hegel, M. T., & Leiby, B. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.2513 · Cited by 64
Adherence and Tolerability of Alzheimer's Disease Medications: A Pragmatic Randomized Trial
Campbell, N. L., Perkins, A. J., Gao, S., Skaar, T. C., Li, L., Hendrie, H. C., Fowler, N., Callahan, C. M., & Boustani, M. A. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14827 · Cited by 58
Kuiper, J. G., Sanchez, R. J., Houben, E., Heintjes, E. M., Penning-van Beest, F. J. A., Khan, I., van Riemsdijk, M., & Herings, R. M. C. (2017) · Clinical Therapeutics · doi:10.1016/j.clinthera.2017.03.001 · Cited by 48
Rovner, B. W., Casten, R. J., Hegel, M. T., & Leiby, B. E. (2012) · Contemporary Clinical Trials · doi:10.1016/j.cct.2012.02.016 · Cited by 22
A Theoretical Lens for Revealing the Complexity of Chronic Care
Borgermans, L., De Maeseneer, J., Wollersheim, H., Vrijhoef, B., & Devroey, D. (2013) · Perspectives in Biology and Medicine · doi:10.1353/pbm.2013.0017 · Cited by 16
Metadata
- Authors
- Clark, D. O., Korff, M. V., Saunders, K., Balugh, W. M., & Simon, G. E.
- Venue
- Medical Care
- Published
- 1995-08
- Volume
- 33
- Issue
- 8
- Pages
- 783-795
- ISSN
- 0025-7079 (ISSN-L)
- OpenAlex
- W1966408965
- Cited by
- 551
- References
- 0
- FWCI
- 2.98
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.