Length of hospital stay after hip fracture and short term risk of death after discharge: a total cohort study in Sweden.
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ABSTRACT: Objective
To investigate relation between inpatient length of stay after hip fracture and risk of death after hospital discharge.Setting
Population ≥50 years old living in Sweden as of 31 December 2005 with a first hip fracture the years 2006-12.Participants
116,111 patients with an incident hip fracture from a closed nationwide cohort.Main outcome measure
Death within 30 days of hospital discharge in relation to hospital length of stay after adjustment for multiple covariates.Results
Mean inpatient length of stay after a hip fracture decreased from 14.2 days in 2006 to 11.6 days in 2012 (P<0.001). The association between length of stay and risk of death after discharge was non-linear (P<0.001), with a threshold for this non-linear effect of about 10 days. Thus, for patients with length of stay of ≤10 days (n=59,154), each 1-day reduction in length of stay increased the odds of death within 30 days of discharge by 8% in 2006 (odds ratio 1.08 (95% confidence interval 1.04 to 1.12)), which increased to16% in 2012 (odds ratio 1.16 (1.12 to 1.20)). In contrast, for patients with a length of stay of ≥11 days (n=56,957), a 1-day reduction in length of stay was not associated with an increased risk of death after discharge during any of the years of follow up.Limitations
No accurate evaluation of the underlying cause of death could be performed.Conclusion
Shorter length of stay in hospital after hip fracture is associated with increased risk of death after hospital discharge, but only among patients with length of stay of 10 days or less. This association remained robust over consecutive years.
SUBMITTER: Nordstrom P
PROVIDER: S-EPMC4353281 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background:As procedure rates and expenditures for total hip arthroplasty (THA) rise, hospitals are developing models to predict discharge location, a major determinant of total cost. The predictive value of existing illness rating systems such as the American Society for Anesthesiologists (ASA) Physical Classification System, Severity of Illness (SOI) scoring system, or Mallampati (MP) rating scale on discharge location remains unclear. This study explored the predictive role of ASA, SOI, and MP scores on discharge location, lengths of stay, and total costs for THA patients. Methods:A retrospective analysis of patients undergoing elective primary or revision THA was conducted at a single institution. Multivariable regressions were utilized to assess the significant predictive factors for lengths of stay, total costs, and discharge to skilled nursing facilities (SNFs), rehabilitation centers, and home. Controls included demographic factors, insurance coverage, and the type of procedure. Results:ASA scores ?3 are the only significant predictors of discharge to SNFs (odds ratio [OR] = 1.69, confidence interval [CI] = 1.04-2.74) and home (OR = 0.57, CI = 0.34-0.98). Medicaid coverage (OR = 2.61, CI = 1.37-4.96) and African-American race (OR = 2.60, CI = 1.59-4.25) were additional significant predictors of discharge to SNF. SOI scores are the only significant predictors of length of stay (? = 1.36 days, CI = 0.53-2.19) and total cost for an episode (? = $6,234, CI = $3577-$8891). MP scores possess limited predictive power over lengths of stay only. Conclusions:These findings suggest that although ASA classifications predict discharge location and SOI scores predict length of stay and total costs, other factors beyond illness rating systems remain stronger predictors of discharge for THA patients.
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Project description:BackgroundOutcomes following proximal humeral fracture (PHF) may be impacted by a range of clinical, fracture and premorbid factors. The aim of this study was to examine factors impacting hospital admission; length of stay (LOS) and new discharge destination for patients presenting to hospital with PHF.MethodsRetrospective audit conducted at a tertiary health service. Data was collected from adult patients presenting to hospital with a PHF over a 54-month period. Fractures that were pathological or sustained during admission were excluded. Univariable and multivariable logistic and negative binomial regression were used to explore factors associated with hospital admission, LOS and new discharge destination.ResultsData were analyzed from 701 participants (age 70 years (IQR 60, 81); 72.8% female); 276 (39.4%) participants required a hospital admission. New discharge destination was required for 109 (15.5%) participants, of whom 49 (45%) changed from home alone to home with family/friend(s). Greater comorbidities, as indicated by the Charlson Comorbidity Index score, were associated with hospital admission, longer LOS and new discharge destination. Premorbid living situations of home with family/friend(s) or from an external care facility were associated with a decreased likelihood of hospital admission, shorter LOS and reduced risk of a new discharge destination. Surgical treatment was associated with shorter LOS. Older age and dementia diagnosis were associated with a new discharge destination.ConclusionsMany factors potentially impact on the likelihood or risk of hospitalization, LOS and new discharge destination post PHF. Patients with greater comorbidities are more likely to have negative outcomes, while patients who had premorbid living situations of home with family/friend(s) or from an external care facility are more likely to have positive outcomes. Early identification of factors that may impact patient outcomes may assist timely decision making in hospital settings. Further research should focus on developing tools to predict hospital outcomes in the PHF population.
| S-EPMC11015557 | biostudies-literature
Project description:BackgroundHospital length of stay (LoS) after a hip fracture likely mirrors health status; however, a too short hospitalization might increase the risk of readmission. In this national register-based study, we investigated the association between LoS after a hip fracture and the risk of readmissions.Methods73,551 patients with a first hip fracture between 2012 and 2019 were followed for 4 months after discharge. LoS was categorized by cubic splines and the association with readmissions was analyzed with Cox regression models.ResultsThe mean LoS was 11 ± 6 days and 25% of the study population had at least one readmission. Compared to the mean LoS of 9-12 days, there was a 18% decreased risk of readmission for LoS of 2-4 days (HR 0.82 [95% CI 0.77-0.87]) and 13% decrease for 5-8 days (HR 0.87 [95% CI 0.83-0.91]), when adjusting for sex, age, walking ability, ASA score, CCI, complications during hospitalization and living arrangements. For longer LoS, risk of readmission increased (13-23 days: HR 1.09 [95% CI 1.05-1.13] and 24 + days: HR 1.19 [95% CI 1.11-1.28]). The results were robust across sex, age, and living arrangements. The most common specific reasons for readmission were trauma/injury, cardiovascular and complications, and the proportions did not differ considerably between short and long LoS-categories.ConclusionsWhile a long LoS can be explained by the care need of the patient, a short LoS - compared to the average stay - does not increase the risk of readmission regardless of health status and hospital complications in a Swedish setting.
| S-EPMC10648637 | biostudies-literature
Project description:IMPORTANCE:More than 300,000 hip fractures occur each year in the United States. Recent practice guidelines have advocated greater use of regional anesthesia for hip fracture surgery. OBJECTIVE:To test the association of regional (ie, spinal or epidural) anesthesia vs general anesthesia with 30-day mortality and hospital length of stay after hip fracture. DESIGN, SETTING, AND PATIENTS:We conducted a matched retrospective cohort study involving patients 50 years or older who were undergoing surgery for hip fracture at general acute care hospitals in New York State between July 1, 2004, and December 31, 2011. Our main analysis was a near-far instrumental variable match that paired patients who lived at different distances from hospitals that specialized in regional or general anesthesia. Supplementary analyses included a within-hospital match that paired patients within the same hospital and an across-hospital match that paired patients at different hospitals. EXPOSURES:Spinal or epidural anesthesia; general anesthesia. MAIN OUTCOMES AND MEASURES:Thirty-day mortality and hospital length of stay. Because the distribution of length of stay had long tails, we characterized this outcome using the Huber M estimate with Huber weights, a robust estimator similar to a trimmed mean. RESULTS:Of 56,729 patients, 15,904 (28%) received regional anesthesia and 40,825 (72%) received general anesthesia. Overall, 3032 patients (5.3%) died. The M estimate of the length of stay was 6.2 days (95% CI, 6.2 to 6.2). The near-far matched analysis showed no significant difference in 30-day mortality by anesthesia type among the 21,514 patients included in this match: 583 of 10,757 matched patients (5.4%) who lived near a regional anesthesia-specialized hospital died vs 629 of 10,757 matched patients (5.8%) who lived near a general anesthesia-specialized hospital (instrumental variable estimate of risk difference, -1.1%; 95% CI, -2.8 to 0.5; P?=?.20). Supplementary analyses of within and across hospital patient matches yielded mortality findings to be similar to the main analysis. In the near-far match, regional anesthesia was associated with a 0.6-day shorter length of stay than general anesthesia (95% CI, -0.8 to -0.4, P?<?.001). Supplementary analyses also showed regional anesthesia to be associated with shorter length of stay, although the observed association was smaller in magnitude than in the main analysis. CONCLUSIONS AND RELEVANCE:Among adults in acute care hospitals in New York State undergoing hip repair, the use of regional anesthesia compared with general anesthesia was not associated with lower 30-day mortality but was associated with a modestly shorter length of stay. These findings do not support a mortality benefit for regional anesthesia in this setting.
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Project description:This study examines the difference in length of stay and total hospital charge by income quartile in hip fracture patients. The length of stay increased in lower income groups, while total charge demonstrated a U-shaped relationship, with the highest charges in the highest and lowest income quartiles.IntroductionSocioeconomic factors have an impact on outcomes in hip fracture patients. This study aims to determine if there is a difference in hospital length of stay (LOS) and total hospital charge between income quartiles in hospitalized hip fracture patients.MethodsNational Inpatient Sample (NIS) data from 2016 to 2018 was used to determine differences in LOS, total charge, and other demographic/clinical outcomes by income quartile in patients hospitalized for hip fracture. Multivariate regressions were performed for both LOS and total hospital charge to determine variable impact and significance.ResultsThere were 860,045 hip fracture patients were included this study. With 222,625 in the lowest income quartile, 234,215 in the second, 215,270 in the third, and 190,395 in the highest income quartile. LOS decreased with increase in income quartile. Total charge was highest in the highest quartile, while it was lowest in the middle two-quartiles. Comorbidities with the largest magnitude of effect on both LOS and total charge were lung disease, kidney disease, and heart disease. Time to surgery post-admission also had a large effect on both outcomes of interest.ConclusionThe results demonstrate that income quartile has an effect on both hospital LOS and total charge. This may be the result of differences in demographics and other clinical variables between quartiles and increased comorbidities in lower income levels. The overall summation of these socioeconomic, demographic, and medical factors affecting patients in lower income levels may result in worse outcomes following hip fracture.
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Project description:Background and purposeHospital volume has been suggested to be one of the best indicators of adverse orthopedic events in patients undergoing THR surgery. We therefore evaluated the effect of hospital volume on the length of stay, re-admissions, and complications of THR at the population level in Finland.Methods30,266 THRs performed for primary osteoarthritis were identified from the Hospital Discharge Register. Hospitals were classified into 4 groups according to the number of THRs performed on an annual basis over the whole study period: 1-50 (group 1), 51-150 (group 2), 151-300 (group 3), and > 300 (group 4).ResultsIn 2005, the length of the period of surgical treatment was 5.5 days in group 4 and 6.8 days in group 1 (the reference group). During the whole study period (1998-2005), the length of surgical treatment period was shorter in group 4 than in group 1 (p < 0.001). The odds ratio for dislocations (0.7, 95% CI: 0.6-0.9) was lower in group 3 than in group 1.InterpretationHip replacements performed in high-volume hospitals reduce costs by shortening the length of stay, and they may reduce the dislocation rate.
| S-EPMC3229993 | biostudies-literature
Project description:Background and purposeAn ageing population at greater risk of proximal femoral fracture places an additional clinical and financial burden on hospital and community medical services. We analyse the variation in i) length of stay (LoS) in hospital and ii) costs across the acute care pathway for hip fracture from emergency admission, to hospital stay and follow-up outpatient appointments.Patients and methodsWe analyse patient-level data from England for 2009/10 for around 60,000 hip fracture cases in 152 hospitals using a random effects generalized linear multi-level model where the dependent variable is given by the patient's cost or length of stay (LoS). We control for socio-economic characteristics, type of fracture and intervention, co-morbidities, discharge destination of patients, and quality indicators. We also control for provider and social care characteristics.ResultsOlder patients and those from more deprived areas have higher costs and LoS, as do those with specific co-morbidities or that develop pressure ulcers, and those transferred between hospitals or readmitted within 28 days. Costs are also higher for those having a computed tomography (CT) scan or cemented arthroscopy. Costs and LoS are lower for those admitted via a 24h emergency department, receiving surgery on the same day of admission, and discharged to their own homes.InterpretationPatient and treatment characteristics are more important as determinants of cost and LoS than provider or social care factors. A better understanding of the impact of these characteristics can support providers to develop treatment strategies and pathways to better manage this patient population.
| S-EPMC4512684 | biostudies-literature
Project description:Two hypotheses were offered for the effect of shorter hospital stays on mortality after hip fracture surgery: worsening the quality of care and shifting death occurrence to postacute settings.We tested whether the risk of hospital death after hip fracture surgery differed across years when postoperative stays shortened, and whether care factors moderated the association.Analysis of acute hospital discharge abstracts for subgroups defined by hospital type, bed capacity, surgical volume, and admission time.153,917 patients 65 years or older surgically treated for first hip fracture.Risk of hospital death.We found a decrease in the 30-day risk of hospital death from 7.0% (95%CI: 6.6-7.5) in 2004 to 5.4% (95%CI: 5.0-5.7) in 2012, with an adjusted odds ratio [OR] 0.71 (95%CI: 0.63-0.80). In subgroup analysis, only large community hospitals showed the reduction of ORs by calendar year. No trend was observed in teaching and medium community hospitals. By 2012, the risk of death in large higher volume community hospitals was 34% lower for weekend admissions, OR = 0.66 (95%CI: 0.46-0.95) and 39% lower for weekday admissions, OR = 0.61 (95%CI: 0.40-0.91), compared to 2004. In large lower volume community hospitals, the 2012 risk was 56% lower for weekend admissions, OR = 0.44 (95%CI: 0.26-0.75), compared to 2004.The risk of hospital death after hip fracture surgery decreased only in large community hospitals, despite universal shortening of hospital stays. This supports the concern of worsening the quality of hip fracture care due to shorter stays.
| S-EPMC5406098 | biostudies-literature
Project description:BackgroundHospital length of stay (LoS) is believed to be associated with higher mortality in hip fracture patients; however, previous research has shown conflicting results. We aimed to explore the association between LoS and 4-month mortality in different groups of hip fracture patients.MethodsThe study population in this Swedish register-based cohort study was 47 811 patients 65 years or older with a first hip fracture during 2012-2016, followed up for 4 months after discharge. LoS was categorized by cubic splines, and the association between LoS and mortality was analyzed with Cox regression models, adjusted for sociodemographic- and health-related factors.ResultsMean LoS was 11.2 ± 5.9 days and 12.3% of the patients died within 4 months. Both a shorter and a longer LoS, compared to the reference 9-12 days, were associated with higher mortality (hazard ratio [95% confidence interval]): 2-4 days 2.15 (1.98-2.34), 5-8 days 1.58 (1.47-1.69), and 24+ days 1.29 (1.13-1.46). However, in fully adjusted models, only the association with a long LoS remained: 13-23 days 1.08 (1.00-1.17) and 24+ days 1.42 (1.25-1.61). Stratifying by living arrangement revealed that the increased risk for a short LoS was driven by the group living in care homes. For patients living at home, a short LoS was associated with lower risk: 0.65 (0.47-0.91) and 0.85 (0.74-0.98) for 2-4 and 5-8 days, respectively.ConclusionsA long LoS after a hip fracture is associated with increased 4-month mortality risk even after considering patient characteristics. The association between mortality and a short LoS, however, is explained by individuals coming from care homes (with higher mortality risk), being discharged early.
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