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      Functional Outcomes After Hip Fracture in Independent Community‐Dwelling Patients

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          Abstract

          To determine predictors of new activities of daily living (ADLs) disability and worsened mobility disability and secondarily increased daily care hours received, in previously independent hip fracture patients. Retrospective cohort study. Academic hospital with ambulatory follow-up. Community-dwelling adults 65 years or older independent in ADLs undergoing hip fracture surgery in 2015 (n = 184). Baseline, 3- and 6-month ADLs, mobility, and daily care hours received were ascertained by telephone survey and chart review. Comorbidities, medications, and characteristics of hospitalization were extracted from patient charts. Models for each outcome used logistic regression with a backward elimination strategy, adjusting a priori for age, sex, and race. Predictors of new ADL disability at 3 months were dementia (odds ratio [OR] = 11.81; P = .001) and in-hospital delirium (OR = 4.20; P = .002), and at 6 months were age (OR = 1.04; P = .014), dementia (OR = 9.91; P = .001), in-hospital delirium (OR = 3.00; P = .031) and preadmission opiates (OR = 7.72; P = .003). Predictors of worsened mobility at 3 months were in-hospital delirium (OR = 4.48; P = .001) and number of medications (OR = 1.13; P = .003), and at 6 months were age (OR = 1.06; P = .001), preadmission opiates (OR = 7.23; P = .005), in-hospital delirium (OR = 3.10; P = .019), and number of medications (OR = 1.13; P = .013). Predictors of increased daily care hours received at 3 and 6 months were age (3 months: OR = 1.07; P = .014; 6 months: OR = 1.06; P = .017) and number of medications (3 months: OR = 1.13; P = .004; 6 months: OR = 1.22; P = .013). The proportion of patients with ADL disability and care hours received did not change from 3 to 6 months, yet there were significant improvements in mobility. Age, dementia, in-hospital delirium, number of medications, and preadmission opiate use were predictors of poor outcomes in independent older adults following hip fracture. Further investigation is needed to identify factors associated with improved mobility measures from 3 to 6 months to ultimately optimize recovery.

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          Most cited references31

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          Orthogeriatric care models and outcomes in hip fracture patients: a systematic review and meta-analysis.

          Hip fractures are common, morbid, and costly health events that threaten independence and function of older patients. The purpose of this systematic review and meta-analysis was to determine if orthogeriatric collaboration models improve outcomes. Articles in English and Spanish languages were searched in the electronic databases including MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), EMBASE, and the Cochrane Registry from 1992 to 2012. Studies were included if they described an inpatient multidisciplinary approach to hip fracture management involving an orthopaedic surgeon and a geriatrician. Studies were grouped into 3 following categories: routine geriatric consultation, geriatric ward with orthopaedic consultation, and shared care. After independent review of 1480 citations by 2 authors, 18 studies (9094 patients) were identified as meeting the inclusion criteria. In-hospital mortality, length of stay, and long-term mortality outcomes were collected. A random effects model meta-analysis determined whether orthogeriatric collaboration was associated with improved outcomes. The overall meta-analysis found that orthogeriatric collaboration was associated with a significant reduction of in-hospital mortality [relative risk 0.60; 95% confidence interval (95% CI), 0.43-0.84) and long-term mortality (relative risk 0.83; 95% CI, 0.74-0.94). Length of stay (standardized mean difference -0.25; 95% CI, -0.44 to -0.05) was significantly reduced, particularly in the shared care model (standardized mean difference -0.61; 95% CI, -0.95 to -0.28), but heterogeneity limited this interpretation. Other variables such as time to surgery, delirium, and functional status were measured infrequently. This meta-analysis supports orthogeriatric collaboration to improve mortality after hip repair. Further study is needed to determine the best model of orthogeriatric collaboration and if these partnerships improve functional outcomes.
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            A chart-based method for identification of delirium: validation compared with interviewer ratings using the confusion assessment method.

            To validate a chart-based method for identification of delirium and compare it with direct interviewer assessment using the Confusion Assessment Method (CAM). Prospective validation study. Teaching hospital. Nine hundred nineteen older hospitalized patients. A chart-based instrument for identification of delirium was created and compared with the reference standard interviewer ratings, which used direct cognitive assessment to complete the CAM for delirium. Trained nurse chart abstractors were blinded to all interview data, including cognitive and CAM ratings. Factors influencing the correct identification of delirium in the chart were examined. Delirium was present in 115 (12.5%) patients according to the CAM. Sensitivity of the chart-based instrument was 74%, specificity was 83%, and likelihood ratio for a positive result was 4.4. Overall agreement between chart and interviewer ratings was 82%, kappa=0.41. By contrast, using International Classification of Diseases, Ninth Revision, Clinical Modification, administrative codes, the sensitivity for delirium was 3%, and specificity was 99%. Independent factors associated with incorrect chart identification of delirium were dementia, severe illness, and high baseline delirium risk. With all three factors present, the chart instrument was three times more likely to identify patients incorrectly than with none of the factors present. A chart-based instrument for delirium, which should be useful for patient safety and quality-improvement programs in older persons, was validated. Because of potential misclassification, the chart-based instrument is not recommended for individual patient care or diagnostic purposes.
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              How accurate are self-reports? Analysis of self-reported health care utilization and absence when compared with administrative data.

              To determine the accuracy of self-reported health care utilization and absence reported on health risk assessments against administrative claims and human resource records. Self-reported values of health care utilization and absenteeism were analyzed for concordance to administrative claims values. Percent agreement, Pearson's correlations, and multivariate logistic regression models examined the level of agreement and characteristics of participants with concordance. Self-report and administrative data showed greater concordance for monthly compared with yearly health care utilization metrics. Percent agreement ranged from 30% to 99% with annual doctor visits having the lowest percent agreement. Younger people, males, those with higher education, and healthier individuals more accurately reported their health care utilization and absenteeism. Self-reported health care utilization and absenteeism may be used as a proxy when medical claims and administrative data are unavailable, particularly for shorter recall periods.
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                Author and article information

                Journal
                Journal of the American Geriatrics Society
                J Am Geriatr Soc
                Wiley
                0002-8614
                1532-5415
                April 26 2019
                July 2019
                April 09 2019
                July 2019
                : 67
                : 7
                : 1386-1392
                Affiliations
                [1 ]Section of GeriatricsYale School of Medicine New Haven Connecticut
                [2 ]White River Junction VA Medical Center White River Junction Vermont
                [3 ]Yale New Haven Health System New Haven Connecticut
                [4 ]Yale School of MedicineYale Center for Medical Informatics New Haven Connecticut
                [5 ]Michael J. Crescenz VA Medical Center Philadelphia Pennsylvania
                [6 ]Division of GeriatricsUniversity of Pennsylvania Philadelphia Pennsylvania
                Article
                10.1111/jgs.15870
                6941577
                30964203
                a0a2f491-550a-4eb4-88f8-6160372040b3
                © 2019

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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