Prevalence, expenditures, and complications of multiple chronic conditions in the elderly.

By J. Wolff, B. Starfield, G. Anderson. Archives of Internal Medicine, 2002

2,274 citations recorded by the source corpus.

Subfields: Endocrinology, Diabetes and Metabolism, Epidemiology, General Health Professions

View Paper: https://www.semanticscholar.org/paper/9dfb6d6b3be21c47962ed78a0035175e5517ad47

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Endocrinology, Diabetes and Metabolism

1. John D. Piette
2. E. Kerr
3. Edith Burns
4. L. A. Phillips
5. H. Leventhal
6. M. Salive

In Epidemiology

1. John D. Piette
2. E. Kerr
3. Edith Burns
4. L. A. Phillips
5. H. Leventhal
6. Lucila Ohno-Machado
7. Luigi Ferrucci
8. Suchi Saria

In General Health Professions

1. John D. Piette
2. E. Kerr
3. Edith Burns
4. L. A. Phillips
5. H. Leventhal
6. Lucila Ohno-Machado
7. David W. Bates

Citations in the corpus

• Review: Health Care Utilization and Costs of Elderly Persons With Multiple Chronic Conditions (2011, methodology): “Wolff et al. (2002) grouped individual ICD-9 diagnosis by main organ system involvement into 23 major diagnostic categories (MDCs).”
• Multimorbidity in older adults. (2013, background): “Wolff, 2002 (11) United States 1,217,103 ≥65 Medicare claims data; sample 23 groups 65”
• Big data in health care: using analytics to identify and manage high-risk and high-cost patients. (2014, background): “54,55 Anysingle disease may include cutaneous (skin), mucosal, renal, musculoskeletal, pulmonary, hematological, immunological, and neurologic manifestations.”
• The global burden of multiple chronic conditions: A narrative review (2018, background): “In terms of HCU, all evidence points to more complex in- and outpatient-care scenarios, with disproportionately higher use of services by specialists (Wolff et al., 2002), seeing a multitude of physicians (Anderson, 2010) and confronting them with more problems at each encounter (Beasley et al.”
• Prevalence, Determinants and Patterns of Multimorbidity in Primary Care: A Systematic Review of Observational Studies (2014, background): “Eight studies were conducted in North America, six in the United States [25] [32] [33] [42] [44] [53], and two in Canada [20] [31], and three studies were conducted in Australia [18] [36] [38].”
• Ageing and the epidemiology of multimorbidity (2014, result): “Similar findings were described in the USA Medicare enrolee population [32, 33].”
• Future of Multimorbidity Research: How Should Understanding of Multimorbidity Inform Health System Design? (2010, background): “For example, in addition to associations with high costs and utilization, the risk of potentially avoidable inpatient admissions or preventable complications in an inpatient setting increases dramatically with the number of chronic conditions among older adults.(48,49) Patients with multimorbidity m”
• Mining Electronic Health Records: A Survey (2017, background): “The coexistence of multiple chronic diseases increases the risk of mortality, physical function, decreases quality of life and is also associated with longer hospital stays, increased risk of postoperative complications and a higher overall healthcare utilization [Wolff 2002].”