Changes in the U.S. population between 1990 and today make the old standard obsolete for the VR-12, so the updated standard developed here is widely available to serve as such a contemporary standard for future applications for health-related quality of life (HRQoL) assessments.
BackgroundWe define electronic consultations (“e-consults”) as asynchronous, consultative, provider-to-provider communications within a shared electronic health record (EHR) or web-based platform. E-consults are intended to improve access to specialty expertise for patients and providers without the need for a face-to-face visit. Our goal was to systematically review and summarize the literature describing the use and effects of e-consults.MethodsWe searched PubMed, EMBASE, the Cochrane Library, and CINAHL for studies related to e-consults published between 1990 through December 2014. Three reviewers identified empirical studies and system descriptions, including articles on systems that used a shared EHR or web-based platform, connected providers in the same health system, were used for two-way provider communication, and were text-based.ResultsOur final review included 27 articles. Twenty-two were research studies and five were system descriptions. Eighteen originated from one of three sites with well-developed e-consult programs. Most studies reported on workflow impact, timeliness of specialty input, and/or provider perceptions of e-consults. E-consultations are used in a variety of ways within and across medical centers. They provide timely access to specialty care and are well-received by primary care providers.DiscussionE-consults are feasible in a variety of settings, flexible in their application, and facilitate timely specialty advice. More extensive and rigorous studies are needed to inform the e-consult process and describe its effect on access to specialty visits, cost and clinical outcomes.
Abstract-Angioedema is a rare but potentially serious complication of angiotensin-converting enzyme inhibitor (ACE) use. We conducted a study to estimate incidence of ACE-related angioedema and explore its determinants in a large racially diverse patient population. We used linked medical and pharmacy records to identify all patients in the US Veterans Affairs Health Care System from April 1999 through December 2000 who received first prescriptions for antihypertensive medications. We studied 195 192 ACE initiators and 399 889 patients initiating other antihypertensive medications (OAH). New angioedema was identified by diagnosis codes using methods validated in a national sample of 869 angioedema cases with confirmation for over 95% of cases. Overall, 0.20% of ACE initiators developed angioedema while on the medication and the incidence rate was 1.97 (1.77 to 2.18) cases per 1000 person years. This compares with a rate of 0.51 (0.43 to 0.59) in OAH initiators and the adjusted relative risk estimate was 3.56 (2.82 to 4.44). Fifty five percent of cases occurred within 90 days of first ACE use but risk remained elevated with prolonged use, even beyond 1 year. We estimate that 58.3% of angioedema in patients starting antihypertensives was related to ACE. We also found that angioedema rates were nearly 4-fold higher in blacks, 50% higher in women, and 12% lower in those with diabetes. This study provides a reliable estimate of angioedema incidence associated with ACE use in a diverse nontrial patient population, confirming that the incidence is low, but finding substantial variation by race, sex, and diabetes status.
The objective of the study was to develop a self-reported measure of patients' comorbid illnesses that could be readily administered in ambulatory care settings and that would improve assessment of their health-related quality of life and utilization of health services. Data were analyzed from the Veterans Health Study, an observational study of health outcomes in patients receiving Veterans Administration (VA) ambulatory care. Patients who received ambulatory care services in 4 VA outpatient clinics in the greater Boston area between August 1993 and March 1996 were eligible for inclusion. Among the 4137 patients recruited, 2425 participated in the Veterans Health Study, representing a response rate of 59%. Participants were mailed a health-related quality of life questionnaire, the Medical Outcomes Study Short Form Health Survey (SF-36). They were also scheduled for an in-person interview at which time they completed a medical history questionnaire. We developed a comorbidity index (CI) that included 30 self-reported medical conditions (physical CI) and 6 self-reported mental conditions (mental CI). The physical CI and the mental CI were significantly associated with all SF-36 scales and explained 24% and 36%, respectively, of the variance in the physical component summary and the mental component summary of the SF-36. Both indexes were also significant predictors of future outpatient visits and mortality. The CI is an independent predictor of health status, outpatient visits, and mortality. Its use appears to be a practical approach to case-mix adjustment to account for differences in comorbid illnesses in observational studies of the quality of healthcare. It can be administered to large patient populations at relatively low cost. This method may be particularly valuable for clinicians and researchers interested in population-based studies, case-mix adjustment, and clinical trials.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.