- Research article
- Open Access
- Open Peer Review
Hip fracture in hospitalized medical patients
© Zapatero et al.; licensee BioMed Central Ltd. 2013
- Received: 23 April 2012
- Accepted: 26 December 2012
- Published: 8 January 2013
The aim of the present study is to analyze the incidence of hip fracture as a complication of admissions to internal medicine units in Spain.
We analyzed the clinical data of 2,134,363 adults who had been admitted to internal medicine wards. The main outcome was a diagnosis of hip fracture during hospitalization.
Outcome measures included rates of in-hospital fractures, length of stay and cost.
A total of 1127 (0.057%) admittances were coded with an in-hospital hip fracture. In hospital mortality rate was 27.9% vs 9.4%; p < 0.001, and the mean length of stay was significantly longer for patients with a hip fracture (20.7 days vs 9.8 days; p < 0.001). Cost were higher in hip-fracture patients (6927€ per hospitalization vs 3730€ in non fracture patients). Risk factors related to fracture were: increasing age by 10 years increments (OR 2.32 95% CI 2.11-2.56), female gender (OR 1.22 95% CI 1.08-1.37), admission from nursing home (OR 1.65 95% CI 1.27-2.12), dementia (1.55 OR 95% CI1.30-1.84), malnutrition (OR 2.50 95% CI 1.88-3.32), delirium (OR 1.57 95% CI 1.16-2.14), and anemia (OR 1.30 95%CI 1.12-1.49).
In-hospital hip fracture notably increased mortality during hospitalization, doubling the mean length of stay and mean cost of admission. These are reasons enough to stress the importance of designing and applying multidisciplinary plans focused on reducing the incidence of hip fractures in hospitalized patients.
- Internal medicine
The incidence of hip fracture is increasing throughout the world, due among other reasons to the progressive aging of the population, with the number of people over 65 expected to double in the next three decades . The raw incidence of hip fracture in Spain is 511 cases/100,000/year in patients age 65 or older . Moreover, demographic studies show that hip fractures are more common in institutionalized patients  and in patients hospitalized for another cause, in whom the risk can be up to 11 times greater .
When hip fracture occurs as a complication of hospital admission, it can have devastating effects on the patient, producing clinical and psychological consequences, prolonging hospital stay, increasing mortality and notably raising the cost of hospital care [3, 5]. Hip fracture in hospitalized patients has been related to a series of predisposing factors, particularly falls in the hospital . They are more frequent in medical than in surgical wards [7, 8]. In-hospital falls are considered a quality-of-care indicator [9, 10]. Hip fracture in postsurgical patients was included as an indicator of complications due to the care process during hospitalization by Lezzoni et al . in 1992, when they developed the Complications Screening Program (CSP). Hip fracture was later listed as one of the Patient Safety Indicators by the Agency for Healthcare Research and Quality  and as a safety indicator in the OECD HCQI Project (Organisation for Economic Cooperation and development Health Care Quality Indicators Project) .
Patients admitted to internal medicine units have many of the factors associated with increased risk of falls and fractures during admission such as advanced age, mobility and cognitive impairment, confusional syndrome development during admission, polimedication and a high demand for nursing care .
The aim of the present study by the Internal Medicine Spanish Society Management Group was to analyze the incidence of hip fracture as a complication of admission to internal medicine units and to describe their epidemiological characteristics, including associated risk factors, hospital course, mortality, and impact on hospital stay and cost of care.
We identified every patient discharged from the Internal Medicine departments of hospitals in the Spanish Public Health Service between January 1st, 2005 and December 31st, 2008. Hospital discharge data were obtained from the Basic Minimum Data Set (BMDS). This BMDS registry is compulsory for every patient admitted to a hospital of the Spanish National Health Service, a system that cares for more than 90% of the country population. All centres submit this information to the Spanish Health Ministry. BMDS contains socio-demographic and clinical data for each documented hospital discharge including: gender and age, primary and secondary diagnoses [according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code]; primary and secondary procedures; discharge status; length of stay; and hospital characteristics (less than 200 beds; 200 to 500 beds; 500 to 1,000 beds; more than 1,000 beds). For every patient, a diagnosis-related group (DRG) was identified. DRGs are a way of classifying patient hospitalizations by diagnosis and procedure on the assumption that similar costs are expended on patients by using similar resources. Each DRG has a relative weight that reflects the intensity of resources consumed. Emergency admissions are those produced directly from the Emergency Department. Permission was obtained for using the data.
The BMDS assigns a main diagnosis related to cause of admission to hospital. Besides, it is possible to add up to 12 secondary diagnosis including complications occurring during hospitalization, recurring of previous diseases or new diagnosis arising from studies performed during admission. The main diagnosis should always be related with the main symptom initiating admission following ICD-9-CM coding system. That is the reason why a patient with hip fracture will have a main diagnosis of hip fracture and a patient with a hip fracture occurring during admission will have hip fracture as a secondary diagnosis.
Inclusion criteria: patients admitted to an Internal Medicine department between January 1st, 2005 and December 31st, 2008, without a principal diagnosis of hip fracture (ICD-9-CM 820.00-820.22; 820.30-820.32; 820.8; 820.9). The main outcome was a diagnosis of hip fracture during admission. Patients with a hip fracture at admission were excluded. The indicator was defined based on the Agency for Healthcare Research and Quality (AHRQ) patient safety indicators as cases on in-hospital hip fracture per 100 medical discharges : numerator discharges with an ICD-9-CM code for hip fracture in any secondary diagnosis field (820.00-820.22; 820.30-820.32; 820.8; 820.9) among cases meeting the inclusion and exclusion rules for the denominator; denominator all medical discharges age 18 and older. Excluded cases with principal diagnosis of hip fracture, cases with diseases and disorder of the musculoskeletal system and connective tissue (MCD 8), cases with principal diagnosis of seizure, syncope, stroke, coma, cardiac arrest, poisoning, trauma, delirium and other psychoses or anoxic brain injury, cases with diagnosis of metastatic cancer, lymphoid malignancy or bone malignancy or self-inflicted injury, discharges in MDC 8 (disease and disorders of the musculoskeletal system and connective tissue) and MCD 14 (pregnancy, childbirth an puerperium) .
The Age Adjusted Charlson Co-morbidity Index (CCI) was computed for each patient. This index reflects the number and importance of comorbid diseases, relies on ICD-9-CM categories, and was used to adequately adjust for severity of illness [16, 17].
The following risk factors for hip fracture were identified using ICD-9-CM codes in any secondary diagnosis field: Cardiac Disease: ICD-9-CM:398.91, 404, 402.11, 402.91,428-428.9, Dementia: ICD-9-CM: 290–290.9, Delirium ICD-9-CM: 298.9, 293.0, 293.9,0293.8, Chronic pulmonary disease ICD-9-CM: 490–496, 500–505, 506.4, Cancer ICD-9-CM:140.0-172.9,174.0-195.8, 200–208.9, V10.0-V10.9, Metastasic cancer: ICD-9-CM:196.0-199.99, Cerebrovascular disease ICD-9-CM: 430438, Malnutrition: ICD-9-CM: 260–263.9, Diabetes: ICD-9-CM: 250.00-250.99, Myocardial infarction: ICD-9-CM: 410–410.9, Chronic renal failure ICD-9-CM: 585586.99, 582.0-582.9, 583.0-583.7, 588.0-588.9 and Anaemia: ICD-9-CM: 280.00-285.99.
Hospitalization cost estimation in Spain has been developed by the Spanish Ministry of Health and it is basically based on DRG coding system. DRGs are a way of classifying patient hospitalisations by diagnosis and procedure on the assumption that similar costs (direct, indirect and structural), are expended on patients allocated similar resources .
Differences in the distribution of various demographic and clinical characteristics between patients who presented hip fracture during hospitalization and those who did not, were examined. We used the chi-square test for categorical variables with the Yates correction, the Fisher’s exact test for dichotomic variables when the expected value of a cell was less than 5, and Student T for quantitative variables (difference of means). The unadjusted Odds-Ratios (OR) and 95% Confidence Intervals (CI) were estimated from the logistic regression coefficients. The most clinically relevant variables and those with statistical significance (p < 0.1) in the univariate analyses of every subgroup were introduced in the logistic regression analysis, to determine independent risk factors for hip fracture during hospitalization. A logistic regression analysis with backward stepwise procedure and p > 0.10 as the criterion for exclusion was used to find the variables independently associated with hip fracture during admission. Effects of in-hospital length of stay and medical cost have been adjusted for age, gender, comorbidities and potential confounders (anemia, dementia, delirium) by linear regression models.
All statistical analysis was carried out with the use of a SPSS Software version 16.
Between January 2005 and December 2008 the dataset included 2,134,363 admissions. Of these, 1,991,911 (93.3%) met the basic inclusion criteria. A total of 1127 (0.057%) were coded with an in-hospital hip fracture. The mean age of in-hospital hip fracture patients was 81.52 years (SD 10.15) and 57.2% were women. An age-adjusted CCI score >2 was present in 1080 (95.8%) of cases.
Demographic and clinical details for hospital episodes associated with in hospital hip fractures
Patients with in-hospital hip fracture*
Patients without in-hospital hip fracture
Age (years), SD (mean)
Gender (male, %)
Admission from nursing home (%)
Length of stay (days), SD (mean)
Death during admission (%)
Discharge to rehabilitation hospital (%)
Cost of hospital admission (€), SD (mean)
Charlson index > 2 (%)
Metastasic cancer (%)
Chronic heart failure (%)
Chronic cerebrovascular disease (%)
Chronic pulmonary disease (%)
Myocardial infarction (%)
Chronic renal disease (%)
Prevalence of in-hospital hip fracture related to age
In-hospital hip fracture
Cases/104 patients · day*
Malnutrition and dementia were the major comorbid conditions associated with in-hospital hip fracture (4.5% vs 1.5%; OR 3.13 95%CI 2.364.14, and 13.8% vs 5.9%; OR 2.56 95%CI 2.16-3.03; p < 0.001 for both). There were also a higher proportion of episodes with a comorbid diagnosis of delirium among in-hospital hip fracture patients, compared with patients without in-hospital hip fracture (3.8% vs 1.8%; p < 0.001). Anemia (21.9% vs 15.4%; p < 0.001), and chronic cerebrovascular disease (9.8% vs 7.9%; p = 0.02) were also associated to in-hospital hip fracture.
The mean length of stay was longer for episodes associated with a fracture (20.7 days vs 9.8 days; p < 0.001). Also the mean cost was higher in in-hospital hip fracture (3730 vs 6927 €). When these variables were adjusted by potential confounders, the differences remained statistically significant (20.6 vs 9.7 days and 3730 vs 6894 €). Hospital characteristics of these patients are summarised in Table 1. Emergency admissions accounted for most of the episodes in which fracture occurred (88.2%), although the risk of hip-fracture was higher in elective admissions (OR 1.63 95%CI 1.36-1.95). Admission from nursing homes accounted for the highest volume of episodes, with a double risk for hip-fracture than home-admissions (OR 2.73 95%CI 2.11-3.50).
A total of 314 (27.9%) patients with in-hospital hip fracture died during hospitalization. Dying patients were older, 84.2 years (SD 8.3) vs 80.1 years (SD 10.8); p < 0.001, and had a higher co-morbidity (CCI index > 2, 97.4% vs. 94.7%; p = 0.002). The mortality risk was more than double in patients with hip-fracture after adjustment for age, gender and comorbidities (OR 2.66 CI 95% 2.34-3.02).
Risk factors of in-hospital hip fracture
Age (10 year increase)
Admission from nursing home
After analyzing more than 2 million admissions, we found an incidence of hip fracture in patients admitted to internal medicine of 0.58 per 1000 admissions. In a Spanish study of postsurgical patients using the same methodology, the rate of hip fracture was 0.1 per 1000 patients operated upon . Therefore, hip fracture as a complication of admission is almost 6 times more frequent in patients admitted to internal medicine than in those recovering from surgery. The risk factors associated with this complication were age, female sex, dementia, confusional syndrome, malnutrition, comorbidity and admission from a nursing home. The most evident consequences of hip fracture were a two-fold increase in hospital stay, a three-fold increase in mortality and a twofold increased in cost per admission compared to patients without hip fracture.
Studies by other authors had already underlined the relevance of hip fracture as a complication in postoperative patients. In a study made in England, Raleigh et al  report that hip fracture in postoperative patients produces an excess in hospital stay of 17.09 days and an excess in mortality of 18.20%. Brand et al  reviewed the administrative data of public hospitals of the state of Victoria, Australia, for a period of 10 years. They report an incidence of hip fracture in hospitalized patients of 0.14%, which remained stable for the duration of the study. The presence of hip fracture was associated with a 30% increase in mortality and a fourfold increase in hospital stay. Johal et al  demonstrated that the mortality of patients with hip fracture occurring in the hospital was 18% at 30 days and 47% after 1 year, twice as high as the mortality of patients with hip fracture occurring in the community. Most in-hospital hip fractures occurred in medical and geriatric units, in fragile patients with cognitive impairment and a high incidence of comorbidities, as is the case in our series.
Following the aforementioned Australian study, when in-hospital hip fractures were compared to those that occur in the community, a two-fold increase in hospital mortality, a greater need for referral to social and health centers at discharge and a much lower percentage of recovery of pre-fracture activities of life has been reported . In a European study, Foss et al  included 44 consecutive patients with in-hospital hip fracture, a figure equivalent to 7% of all in-hospital fractures; these patients had a worse functional level and more comorbidities before the fracture and a significantly worse postoperative evolution, doubling the hospital stay and mortality during admission. It should be noted that half of the patients in this series had a previous history of falls and 75% of the patients suffered the fracture in the two first weeks of admission to an acute care unit. It can be concluded that this phase of admission should be targeted for reinforced fall prevention measures.
In our study, frequent risk factors for hospital hip fracture were the presence of dementia, confusional syndrome and malnutrition. Interventions designed to reduce the predisposing factors of delusion and confusion have been shown to be useful. Maracantonio et al , using a geriatric survey model in surgical patients with hip fracture, were able to reduce the incidence of delusion by almost 30%. With respect to malnutrition, other authors have previously considered the utility of a nutritional intervention in patients admitted with hip fracture, indicating that this helps to reduce the total number of days with delusion, the occurrence of pressure sores and hospitalization time . In this study individuals living in institutions were almost two times more likely to sustain a hip fracture than those living in private homes. Institutionalized older people have increased prevalence of chronic illness, cognitive disorders, impairments of vision, strength and neuromuscular functioning and are frequently on polymedication [25–27]. Such individuals may be less exposed to the sun than those living in private homes and may have lower levels of vitamin D, thus placing them at increased risk of osteoporosis and possible muscle weakness .
The characteristics of the data base limit the clinical information to events happening only during admission. This is a limitation of the study as we ignore evolution time of diseases and risk factors and thus cannot establish a temporal relationship between hip fracture and this information. In other cases information related to hip fracture may not have been recorded in an effort to protect the reputation of physicians, other healthcare workers or the hospital center, or simply because the description of the complication is not very specific and cannot be properly interpreted. Nevertheless, given the clinical importance of hip fracture, it is unlikely that it will be omitted from the hospital discharge report. Another noteworthy limitation is that the administrative database did not include the treatments received by patients during admission. Falls during hospitalization are not recorded in the data base although it is a well known fact their direct association with fractures.
The results of our study suggest that patients admitted to internal medicine wards, showing some of the risk factors which we have pointed out for hip fracture such as very old age, female sex, admission from residence, the presence of malnutrition, delirium and dementia, should be identified early during admission in order to implement programmes directed to the prevention of falls and hip fractures. Even with the aforementioned limitations, the results of our study suggest that patients admitted to medical services with some of the risk factors identified should prompt the implementation of an individual programme of early detection of falls during admission. Fall prevention requires multidisciplinary strategies, which should first include adequate screening of patients to identify those at risk, a suitable protocol for the prevention of falls during admission, early intervention of delusional syndrome and proper drug prescriptions in these patients. Structural measures, such as changes in room and bath facilities, adjusted bed height, antislip stockings, appropriate lightning, pressure mats, and hip protectors, changes in room and bath furnishings, should also be implemented. Finally it is important to train nursing and medical personnel to recognize the risk factors for this complication [29, 30].
In the present study we report the incidence of hip fractures during hospital admissions to Spanish internal medicine services, which was almost 6 times higher than in patients who underwent surgery. In-hospital hip fracture notably increased mortality during admission, doubling the mean stay and mean cost of admission. For that reason, we stress the importance of designing and applying multidisciplinary plans capable to reduce the incidence of hip fractures in hospitalized patients.
The authors thank the Spanish Minister of Health for the permission to obtain of the data.
- Instituto Nacional de Estadística Anuario Estadístico de España 2008: Demografía. Evolución de la población por grandes grupos de edad. Estimaciones intercensales y actuales de la población. 2008, MadridGoogle Scholar
- Alvarez-Nebreda ML, Jimenez AB, Rodriguez P: Epidemiology of hip fracture in the elderly in Spain. Bone. 2008, 42 (2): 278-285. 10.1016/j.bone.2007.10.001.View ArticlePubMedGoogle Scholar
- Rapp K, Becker C, Lamb SE: Hip fractures in institutionalized elderly people: incidence rates and excess mortality. J Bone Miner Res. 2008, 23 (11): 1825-1831. 10.1359/jbmr.080702.View ArticlePubMedGoogle Scholar
- Uden G, Nilsson B: Hip fracture frequent in hospital. Acta Orthop Scand. 1986, 57 (5): 428-430. 10.3109/17453678609014763.View ArticlePubMedGoogle Scholar
- Johal KS, Boulton C, Moran CG: Hip fractures after falls in hospital: a retrospective observational cohort study. Injury. 2009, 40 (2): 201-204. 10.1016/j.injury.2008.06.036.View ArticlePubMedGoogle Scholar
- Amador LF, Loera JA: Preventing postoperative falls in the older adult. J Am Coll Surg. 2007, 204 (3): 447-453. 10.1016/j.jamcollsurg.2006.12.010.View ArticlePubMedGoogle Scholar
- Hitcho EB, Krauss MJ, Birge S: Characteristics and circumstances of falls in a hospital setting: a prospective analysis. J Gen Intern Med. 2004, 19 (7): 732739-View ArticleGoogle Scholar
- Needleman J, Buerhaus P, Mattke S: Nurse-staffing levels and the quality of care in hospitals. N Engl J Med. 2002, 346 (22): 1715-1722. 10.1056/NEJMsa012247.View ArticlePubMedGoogle Scholar
- Myint PK, Poole KE, Warburton EA: Hip fractures after stroke and their prevention. QJM. 2007, 100 (9): 539-545. 10.1093/qjmed/hcm067.View ArticlePubMedGoogle Scholar
- Oliver D: Older people who fall: why they matter and what you can do. Br J Community Nurs. 2007, 12 (11): 500-507.View ArticlePubMedGoogle Scholar
- Iezzoni LI, Daley J: A description and clinical assessment of the Computerized Severity Index. QRB Qual Rev Bull. 1992, 18 (2): 44-52.PubMedGoogle Scholar
- AHRQ: inpatient quality indicators overview: [http://www.qualityindicators.ahrq.gov/modules/iqi_overview.aspx]
- Johantgen M, Elixhauser A, Bali JK: Quality indicators using hospital discharge data: state and national applications. Jt Comm J Qual Improv. 1998, 24 (2): 88-105.PubMedGoogle Scholar
- University of California at San Francisco-Stanford University Evidenced-Based Practice Center: Evidence report for measures of patient safety based on hospital administrative data-the patient safety indicators. 2002, Rosckville, MD: Agency for Healthcare Research and QualityGoogle Scholar
- Ministerio de Sanidad y Consumo. España: Validación de indicadores de calidad utilizados en el contexto internacional: indicadores de seguridad de pacientes e indicadores de hospitalización evitable. 2008, MadridGoogle Scholar
- Charlson ME, Pompei P, Ales KL: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987, 40 (5): 373-383. 10.1016/0021-9681(87)90171-8.View ArticlePubMedGoogle Scholar
- Deyo RA, Cherkin DC, Ciol MA: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992, 45: 613619-View ArticleGoogle Scholar
- Ministerio de Sanidad. España: Análisis y desarrollo de los GRD en el sistema Nacional de Salud. 2009, [http://www.MSSSI.gob.es/estadEstudios/estadisticas/docs/analisis.pdf]Google Scholar
- Raleigh VS, Cooper J, Bremner SA: Patient safety indicators for England from hospital administrative data: case–control analysis and comparison with US data. BMJ. 2008, 337: a1702-10.1136/bmj.a1702.View ArticlePubMedPubMed CentralGoogle Scholar
- Brand CA, Sundararajan V: A 10-year cohort study of the burden and risk of in-hospital falls and fractures using routinely collected hospital data. Qual Saf Health Care. 2010, 19 (6): e51-10.1136/qshc.2009.038273.PubMedGoogle Scholar
- Murray GR, Cameron ID, Cumming RG: The consequences of falls in acute and subacute hospitals in Australia that cause proximal femoral fractures. J Am Geriatr Soc. 2007, 55 (4): 577-582. 10.1111/j.1532-5415.2007.01102.x.View ArticlePubMedGoogle Scholar
- Foss NB, Palm H, Kehlet H: In-hospital hip fractures: prevalence, risk factors and outcome. Age Ageing. 2005, 34 (6): 642-645. 10.1093/ageing/afi198.View ArticlePubMedGoogle Scholar
- Marcantonio ER, Bergmann MA, Kiely DK: Randomized trial of a delirium abatement program for postacute skilled nursing facilities. J Am Geriatr Soc. 2010, 58 (6): 1019-1026. 10.1111/j.1532-5415.2010.02871.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Olofsson B, Stenvall M, Lundstrom M: Malnutrition in hip fracture patients: an intervention study. J Clin Nurs. 2007, 16 (11): 2027-2038. 10.1111/j.1365-2702.2006.01864.x.View ArticlePubMedGoogle Scholar
- Butler M, Norton R, Lee-Joe T: The risks of hip fracture in older people from private homes and institutions. Age Ageing. 1996, 25 (5): 381-385. 10.1093/ageing/25.5.381.View ArticlePubMedGoogle Scholar
- Chen JS, Sambrook PN, Simpson JM: Risk factors for hip fracture among institutionalised older people. Age Ageing. 2009, 38 (4): 429-434. 10.1093/ageing/afp051.View ArticlePubMedGoogle Scholar
- Norton R, Campbell AJ, Reid IR: Residential status and risk of hip fracture. Age Ageing. 1999, 28 (2): 135-139. 10.1093/ageing/28.2.135.View ArticlePubMedGoogle Scholar
- Chapuy MC, Arlot ME, Duboeuf F: Vitamin D3 and calcium to prevent hip fractures in the elderly women. N Engl J Med. 1992, 327 (23): 1637-1642. 10.1056/NEJM199212033272305.View ArticlePubMedGoogle Scholar
- Fonda D, Cook J, Sandler V: Sustained reduction in serious fall-related injuries in older people in hospital. Med J Aust. 2006, 184 (8): 379-382.PubMedGoogle Scholar
- Haines TP, Bennell KL, Osborne RH: Effectiveness of targeted falls prevention programme in subacute hospital setting: randomised controlled trial. BMJ. 2004, 328 (7441): 676-10.1136/bmj.328.7441.676.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/14/15/prepub
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