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Hospital-Associated Complications of Older People: A Proposed Multicomponent Outcome for Acute Care.

ABSTRACT: OBJECTIVES:To propose a new multicomponent measure of hospital-associated complications of older people (HAC-OP) and evaluate its validity in a large hospital sample. DESIGN:Observational study using baseline (pre-intervention) data from the Collaboration for Hospitalised Elders Reducing the Impact of Stays in Hospital cluster randomized controlled trial. SETTING:Acute medical and surgical wards in 4 hospitals in Queensland, Australia. PARTICIPANTS:Individuals aged 65 and older (mean age 76, 48% female) with a hospital stay of 72 hours or longer (N=434). MEASUREMENTS:We developed a multicomponent measure including 5 well-recognized hospital-associated complications of older people: hospital-associated delirium, functional decline, incontinence, falls, and pressure injuries. To evaluate construct validity, we examined associations with common risk factors (aged ?75, functional impairment, cognitive impairment, history of falls). To evaluate predictive validity, we examined the association between length of stay, facility discharge, and 6-month mortality and any HAC-OP and total number of HAC-OP. RESULTS:Overall, 192 (44%) participants had 1 or more HAC-OP during their admission. Any HAC-OP was strongly associated with the proposed shared risk factors, and there was a strong and graded association between HAC-OP and length of stay (9.1±7.4 days for any HAC-OP vs 6.8 ±4.1 days with none, p < .001), facility discharge (59/192 (31%) vs 27/242 (11%), p < .001) and 6-month mortality (26/192 (14%) vs 17/242 (7%), p = .02). CONCLUSION:This study provides evidence of construct and predictive validity of the proposed measure of HAC-OP as a potential outcome measure for research investigating and improving hospital care of older people. J Am Geriatr Soc 67:352-356, 2019.

SUBMITTER: Mudge AM

PROVIDER: S-EPMC6367036 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Hospital-Associated Complications of Older People: A Proposed Multicomponent Outcome for Acute Care.

Mudge Alison M AM McRae Prue P Hubbard Ruth E RE Peel Nancye M NM Lim Wen Kwang WK Barnett Adrian G AG Inouye Sharon K SK

Journal of the American Geriatrics Society 20181113 2

<h4>Objectives</h4>To propose a new multicomponent measure of hospital-associated complications of older people (HAC-OP) and evaluate its validity in a large hospital sample.<h4>Design</h4>Observational study using baseline (pre-intervention) data from the Collaboration for Hospitalised Elders Reducing the Impact of Stays in Hospital cluster randomized controlled trial.<h4>Setting</h4>Acute medical and surgical wards in 4 hospitals in Queensland, Australia.<h4>Participants</h4>Individuals aged 6 ...[more]

PMID: 30423197

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Project description:ImportanceStudies of low-value care have focused on the prevalence of low-value care interventions but have rarely quantified downstream consequences of these interventions for patients or the health care system.ObjectiveTo measure immediate in-hospital harm associated with 7 low-value procedures.Design, setting, and participantsA cohort study with a descriptive analysis using hospital admission data from 225 public hospitals in New South Wales, Australia, was conducted from July 1, 2014, to June 30, 2017. All 9330 episodes involving 1 of 7 low-value procedures were evaluated, including endoscopy for dyspepsia in people younger than 55 years (3689 episodes); knee arthroscopy for osteoarthritis or meniscal tears (3963 episodes); colonoscopy for constipation in people younger than 50 years (665 episodes); endovascular repair of abdominal aortic aneurysm in asymptomatic, high-risk patients (508 episodes); carotid endarterectomy in asymptomatic, high-risk patients (273 episodes); renal artery angioplasty (176 episodes); and spinal fusion for uncomplicated low back pain (56 episodes). Sixteen hospital-acquired complications (HACs) were used as a measure of harm associated with low-value care.Main outcomes and measuresFor each low-value procedure, the percentage associated with any HAC and the difference in mean length of stay for patients receiving low-value care with and without HACs were calculated.ResultsAcross the 225 hospitals and 9330 episodes of low-value care, rates of HACs were low for low-value endoscopy (4 [0.1%] episodes; 95% CI, 0.02%-0.2%), knee arthroscopy (18 [0.5%] episodes; 95% CI, 0.2%-0.7%), and colonoscopy (2 [0.3%] episodes; 95% CI, 0.0%-0.9%) but higher for low-value spinal fusion (4 [7.1%] episodes; 95% CI, 2.2%-11.5%), endovascular repair of abdominal aortic aneurysm (76 [15.0%] episodes; 95% CI, 11.1%-19.7%), carotid endarterectomy (21 [7.7%] episodes; 95% CI, 5.2%-10.1%), and renal artery angioplasty (15 [8.5%] episodes; 95% CI, 5.8%-11.5%). For most procedures, the most common HAC was health care-associated infection, which accounted for 83 (26.3%) (95% CI, 21.8%-31.5%) of all HACs observed. The highest rate of health care-associated infection was 8.4% (95% CI, 5.2%-11.4%) for renal artery angioplasty. For all 7 low-value procedures, median length of stay for patients with an HAC was 2 times or more the median length of stay for patients without a complication. For example, median length of stay was 1 (interquartile range [IQR], 1-1) day for knee arthroscopy with no HACs but increased to 10.5 (IQR, 1.0-21.3) days for patients with an HAC.Conclusions and relevanceThese findings suggest that use of these 7 procedures in patients who probably should not receive them is harming some of those patients, consuming additional hospital resources, and potentially delaying care for other patients for whom the services would be appropriate. Although only some immediate consequences of just 7 low-value services were examined, harm related to all low-value procedures was noted, including high rates of harm for certain higher-risk procedures. The full burden of low-value care for patients and the health system is yet to be quantified.

Project description:BackgroundOlder people are increasing users of health care globally. We aimed to establish whether older people with characteristics of frailty and who are at risk of adverse health-care outcomes could be identified using routinely collected data.MethodsA three-step approach was used to develop and validate a Hospital Frailty Risk Score from International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnostic codes. First, we carried out a cluster analysis to identify a group of older people (≥75 years) admitted to hospital who had high resource use and diagnoses associated with frailty. Second, we created a Hospital Frailty Risk Score based on ICD-10 codes that characterised this group. Third, in separate cohorts, we tested how well the score predicted adverse outcomes and whether it identified similar groups as other frailty tools.FindingsIn the development cohort (n=22 139), older people with frailty diagnoses formed a distinct group and had higher non-elective hospital use (33·6 bed-days over 2 years compared with 23·0 bed-days for the group with the next highest number of bed-days). In the national validation cohort (n=1 013 590), compared with the 429 762 (42·4%) patients with the lowest risk scores, the 202 718 (20·0%) patients with the highest Hospital Frailty Risk Scores had increased odds of 30-day mortality (odds ratio 1·71, 95% CI 1·68-1·75), long hospital stay (6·03, 5·92-6·10), and 30-day readmission (1·48, 1·46-1·50). The c statistics (ie, model discrimination) between individuals for these three outcomes were 0·60, 0·68, and 0·56, respectively. The Hospital Frailty Risk Score showed fair overlap with dichotomised Fried and Rockwood scales (kappa scores 0·22, 95% CI 0·15-0·30 and 0·30, 0·22-0·38, respectively) and moderate agreement with the Rockwood Frailty Index (Pearson's correlation coefficient 0·41, 95% CI 0·38-0·47).InterpretationThe Hospital Frailty Risk Score provides hospitals and health systems with a low-cost, systematic way to screen for frailty and identify a group of patients who are at greater risk of adverse outcomes and for whom a frailty-attuned approach might be useful.FundingNational Institute for Health Research.

Project description:BackgroundProvision of high quality transitional care is a challenge for health care providers in many western countries. This systematic review was conducted to (1) identify and synthesise research, using randomised control trial designs, on the quality of transitional care interventions compared with standard hospital discharge for older people with chronic illnesses, and (2) make recommendations for research and practice.MethodsEight databases were searched; CINAHL, Psychinfo, Medline, Proquest, Academic Search Complete, Masterfile Premier, SocIndex, Humanities and Social Sciences Collection, in addition to the Cochrane Collaboration, Joanna Briggs Institute and Google Scholar. Results were screened to identify peer reviewed journal articles reporting analysis of quality indicator outcomes in relation to a transitional care intervention involving discharge care in hospital and follow-up support in the home. Studies were limited to those published between January 1990 and May 2013. Study participants included people 60 years of age or older living in their own homes who were undergoing care transitions from hospital to home. Data relating to study characteristics and research findings were extracted from the included articles. Two reviewers independently assessed studies for risk of bias.ResultsTwelve articles met the inclusion criteria. Transitional care interventions reported in most studies reduced re-hospitalizations, with the exception of general practitioner and primary care nurse models. All 12 studies included outcome measures of re-hospitalization and length of stay indicating a quality focus on effectiveness, efficiency, and safety/risk. Patient satisfaction was assessed in six of the 12 studies and was mostly found to be high. Other outcomes reflecting person and family centred care were limited including those pertaining to the patient and carer experience, carer burden and support, and emotional support for older people and their carers. Limited outcome measures were reported reflecting timeliness, equity, efficiencies for community providers, and symptom management.ConclusionsGaps in the evidence base were apparent in the quality domains of timeliness, equity, efficiencies for community providers, effectiveness/symptom management, and domains of person and family centred care. Further research that involves the person and their family/caregiver in transitional care interventions is needed.

Project description:Importance:Despite providing an overlapping level of care, it is unknown why hospitalized older adults are transferred to long-term acute care hospitals (LTACs) vs less costly skilled nursing facilities (SNFs) for postacute care. Objective:To examine factors associated with variation in LTAC vs SNF transfer among hospitalized older adults. Design, Setting, and Participants:We conducted this retrospective observational cohort study of hospitalized older adults (≥65 years) transferred to an LTAC vs SNF during fiscal year 2012 using national 5% Medicare data. Main Outcomes and Measures:Predictors of LTAC transfer were assessed using a multilevel mixed-effects model adjusting for patient-, hospital-, and region-level factors. We estimated variation partition coefficients and adjusted hospital- and region-specific LTAC transfer rates using sequential models. Results:Among 65 525 hospitalized older adults (42 461 [64.8%] women; 39 908 [60.9%] ≥85 years) transferred to an LTAC or SNF, 3093 (4.7%) were transferred to an LTAC. We identified 29 patient-, 3 hospital-, and 5 region-level independent predictors. The strongest predictors of LTAC transfer were receiving a tracheostomy (adjusted odds ration [aOR], 23.8; 95% CI, 15.8-35.9) and being hospitalized in close proximity to an LTAC (0-2 vs >42 miles; aOR, 8.4, 95% CI, 6.1-11.5). After adjusting for case-mix, differences between patients explained 52.1% (95% CI, 47.7%-56.5%) of the variation in LTAC use. The remainder was attributable to hospital (15.0%; 95% CI, 12.3%-17.6%), and regional differences (32.9%; 95% CI, 27.6%-38.3%). Case-mix adjusted LTAC use was very high in the South (17%-37%) compared with the Pacific Northwest, North, and Northeast (<2.2%). From the full multilevel model, the median adjusted hospital LTAC transfer rate was 2.1% (10th-90th percentile, 0.24%-10.8%). Even within a region, adjusted hospital LTAC transfer rates varied substantially (intraclass correlation coefficient [ICC], 0.26; 95% CI, 0.23-0.30). Conclusions and Relevance:Although many patient-level factors were associated with LTAC use, half of the variation in LTAC vs SNF transfer is independent of patients' illness severity or clinical complexity, and is explained by where the patient was hospitalized and in what region, with far greater use in the South. Even among hospitals in regions with similar LTAC access, there was considerable variation in LTAC use. Given the higher expense associated with LTACs vs SNFs, greater attention is needed to define the optimal role of LTACs in the postacute care of older adults.

Project description:OBJECTIVES:To determine why non-mechanically ventilated hospitalized older adults are transferred to long-term acute care (LTAC) hospitals rather than remaining in the hospital. DESIGN:Observational cohort. SETTING:National Medicare data. PARTICIPANTS:Non-mechanically ventilated hospitalized adults aged 65 and older with fee-for-service Medicare in 2012 who were transferred to an LTAC hospital (n=1,831) or had a prolonged hospitalization without transfer (average hospital length of stay or longer of those transferred to an LTAC hospital) and had one of the 50 most common hospital diagnoses leading to LTAC transfer (N=12,875). MEASUREMENTS:We assessed predictors of transfer using a multilevel model, adjusting for patient-, hospital-, and hospital referral region (HRR)-level factors. We estimated proportions of variance at each level and adjusted hospital- and HRR-specific LTAC transfer rates using sequential models. RESULTS:The strongest predictor of transfer was being hospitalized near an LTAC hospital (<1.4 vs?>?33.6 miles, adjusted odds ratio=6.2, 95% confidence interval (CI)=4.2-9.1). After adjusting for case mix, differences between hospitals explained 15.4% of the variation in LTAC use and differences between regions explained 27.8%. Case mix-adjusted LTAC use was high in the South, where many HRRs had rates between 20.3% and 53.1%, whereas many HRRs were less than 5.4% in the Pacific Northwest, North, and New England. From our fully adjusted model, the median adjusted hospital LTAC transfer rate was 7.2% (interquartile range 2.8-17.5%), with substantial within-region variation (intraclass coefficient=0.25, 95% CI=0.21-0.30). CONCLUSIONS:Nearly half of the variation in LTAC use is independent of illness severity and is explained by which hospital and what region the individual was hospitalized in. Because of the greater fragmentation of care and Medicare spending with LTAC transfers (because LTAC hospitals generate a separate bundled payment from the hospital), greater attention is needed to define the optimal role of LTAC hospitals in caring for older adults. J Am Geriatr Soc 66:2112-2119, 2018.

Project description:BackgroundRecent studies indicate inadequate nutritional care practices in healthcare institutions and identify several barriers to perform individualized nutritional care to older persons. Organisation of care can become rigid and standardised, thus failing to be respectful of and responsive to each person's needs and preferences. There is limited research exploring health professionals' views on how structure of care allows them to individualize nutritional care to older persons. In this study we aim to explore how healthcare professionals' experience providing individualised nutritional care within the organisational frames of acute geriatric hospital care and home care.MethodsSemi-structured interviews with 23 healthcare professionals from hospital acute geriatric care and home care. Interviews were analyzed using thematic analysis.ResultsTwo main themes and six sub-themes emerged from the material. Theme 1: 'Meeting patients with complex nutritional problems' with the sub-themes: 'It is much more complex than just not eating' and 'seeing nutrition as a part of the whole'. Theme 2: 'The structure of the nutritional care', with the sub-themes: 'Nutritional routines: Much ado, but for what?', 'lack of time to individualize nutritional care', 'lack of interdisciplinary collaboration in nutritional care' and 'meeting challenging situations with limited resources in home care'.ConclusionsThe healthcare professionals described having a high focus on and priority of nutritional care when caring for older persons. They did however find it challenging to practice individualized nutritional care due to the complexity of the patients' nutritional problems and constraints in the way nutritional care was organised. By describing the challenges the healthcare professionals face when trying to individualize the nutritional care, this study may provide important knowledge to health professionals and policy makers on how to decrease the gap between older patients' preferences for care and nutritional care practice.

Dataset Information

Hospital-Associated Complications of Older People: A Proposed Multicomponent Outcome for Acute Care.

Publications

Hospital-Associated Complications of Older People: A Proposed Multicomponent Outcome for Acute Care.

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