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Identification of fall predictors in the active elderly population from the routine medical records of general practitioners. Prim Health Care Res Dev 2017; 19:131-139. [PMID: 28870275 DOI: 10.1017/s146342361700055x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Aim To evaluate the possibility of determining predictors of falls in the active community-dwelling elderly from the routine medical records of the general practitioners (GPs). BACKGROUND Time constraints and competing demands in the clinical encounters frequently undermine fall-risk evaluation. In the context of proactive primary healthcare, quick, and efficient tools for a preliminary fall-risk assessment are needed in order to overcome these barriers. METHODS The study included 1220 subjects of 65 years of age or older. Data were extracted from the GPs' patient records. For each subject, the following variables were considered: age, gender, diseases, and pharmacotherapy. Univariate and multivariable analyses have been conducted to identify the independent predictors of falls. Findings The mean age of the study population was 77.8±8.7 years for women and 74.9±7.3 years for men. Of the sample, 11.6% had experienced one or more falls in the previous year. The risk of falling was found to increase significantly (P<0.05) with age (OR=1.03; 95% CI=1.01-1.05), generalized osteoarthritis (OR=2.01; 95% CI=1.23-3.30), tinnitus (OR=4.14; 95% CI=1.25-13.74), cognitive impairment (OR=4.12; 95% CI=2.18-7.80), and two or more co-existing diseases (OR=5.4; 95% CI=1.68-17.39). Results suggest that it is possible to identify patients at higher risk of falling by going through the current medical records, without adding extra workload on the health personnel. In the context of proactive primary healthcare, the analysis of fall predictors from routine medical records may allow the identification of which of the several known and hypothesized risk factors may be more relevant for developing quick and efficient tools for a preliminary fall-risk assessment.
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O'Reilly GM, Gabbe B, Moore L, Cameron PA. Classifying, measuring and improving the quality of data in trauma registries: A review of the literature. Injury 2016; 47:559-67. [PMID: 26830127 DOI: 10.1016/j.injury.2016.01.007] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Revised: 12/12/2015] [Accepted: 01/09/2016] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Globally, injury is a major cause of death and disability. Improvements in trauma care have been driven by trauma registries. The capacity of a trauma registry to inform improvements in the quality of trauma care is dependent upon the quality of data. The literature on data quality in disease registries is inconsistent and ambiguous; methods used for classifying, measuring, and improving data quality are not standardised. The aim of this study was to review the literature to determine the methods used to classify, measure and improve data quality in trauma registries. METHODS A scoping review of the literature was performed. Databases were searched using the term "trauma registry" and its synonyms, combined with multiple terms denoting data quality. There was no restriction on year. Full-length manuscripts were included if the classification, measurement or improvement of data quality in one or more trauma registries was a study objective. Data were abstracted regarding registry demographics, study design, data quality classification, and the reported methods used to measure and improve the pre-defined data quality dimensions of accuracy, completeness and capture. RESULTS Sixty-nine publications met the inclusion criteria. Four publications classified data quality. The most frequently described methods for measuring data accuracy (n=47) were checks against other datasets (n=18) and checks of injury coding (n=17). The most frequently described methods for measuring data completeness (n=47) were the percentage of included cases, for a given variable or list of variables, for which there was an observation in the registry (n=29). The most frequently described methods for measuring data capture (n=37) were the percentage of cases in a linked reference dataset that were also captured in the primary dataset being evaluated (n=24). Most publications dealing with the measurement of a dimension of data quality did not specify the methods used; most publications dealing with the improvement of data quality did not specify the dimension being targeted. CONCLUSION The classification, measurement and improvement of data quality in trauma registries is inconsistent. To maintain confidence in the usefulness of trauma registries, the metrics and reporting of data quality need to be standardised.
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Affiliation(s)
- Gerard M O'Reilly
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Commercial Rd, Melbourne, 3004, Australia; Emergency and Trauma Centre, Alfred Health, Commercial Rd, Melbourne, Victoria, 3004, Australia.
| | - Belinda Gabbe
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Commercial Rd, Melbourne, 3004, Australia; Swansea University, United Kingdom
| | | | - Peter A Cameron
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Commercial Rd, Melbourne, 3004, Australia; Emergency and Trauma Centre, Alfred Health, Commercial Rd, Melbourne, Victoria, 3004, Australia; Emergency Medicine, Hamad Medical Corporation, Doha, Qatar
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Linton KF, Kim BJ. Traumatic brain injury as a result of violence in native American and black communities spanning from childhood to older adulthood. Brain Inj 2014; 28:1076-81. [DOI: 10.3109/02699052.2014.901558] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Thompson MC, Wheeler KK, Shi J, Smith GA, Groner JI, Haley KJ, Xiang H. Surveillance of paediatric traumatic brain injuries using the NEISS: choosing an appropriate case definition. Brain Inj 2014; 28:431-7. [PMID: 24564802 DOI: 10.3109/02699052.2014.887146] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To evaluate the definition of traumatic brain injury (TBI) in the National Electronic Injury Surveillance System (NEISS) and compare TBI case ascertainment using NEISS vs. ICD-9-CM diagnosis coding. METHODS Two data samples from a NEISS participating emergency department (ED) in 2008 were compared: (1) NEISS records meeting the recommended NEISS TBI definition and (2) Hospital ED records meeting the ICD-9-CM CDC recommended TBI definition. The sensitivity and positive predictive value were calculated for the NEISS definition using the ICD-9-CM definition as the gold standard. Further analyses were performed to describe cases characterized as TBIs in both datasets and to determine why some cases were not classified as TBIs in both datasets. RESULTS There were 1834 TBI cases captured by the NEISS and 1836 TBI cases captured by the ICD-9-CM coded ED record, but only 1542 were eligible for inclusion in NEISS. There were 1403 cases classified as TBIs by both the NEISS and ICD-9-CM diagnosis codes. The NEISS TBI definition had a sensitivity of 91.0% (95% CI = 89.6-92.4%) and positive predictive value of 76.5% (95% CI = 74.6-78.4%). CONCLUSIONS Using the NEISS TBI definition presented in this paper would standardize and improve the accuracy of TBI research using the NEISS.
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Affiliation(s)
- Meghan C Thompson
- Center for Injury Research and Policy, The Research Institute at Nationwide Children's Hospital , Columbus, OH , USA
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Polinder S, Haagsma JA, Lyons RA, Gabbe BJ, Ameratunga S, Cryer C, Derrett S, Harrison JE, Segui-Gomez M, van Beeck EF. Measuring the population burden of fatal and nonfatal injury. Epidemiol Rev 2011; 34:17-31. [PMID: 22113244 DOI: 10.1093/epirev/mxr022] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The value of measuring the population burden of fatal and nonfatal injury is well established. Population health metrics are important for assessing health status and health-related quality of life after injury and for integrating mortality, disability, and quality-of-life consequences. A frequently used population health metric is the disability-adjusted life-year. This metric was launched in 1996 in the original Global Burden of Disease and Injury study and has been widely adopted by countries and health development agencies alike to identify the relative magnitude of different health problems. Apart from its obvious advantages and wide adherence, a number of challenges are encountered when the disability-adjusted life-year is applied to injuries. Validation of disability-adjusted life-year estimates for injury has been largely absent. This paper provides an overview of methods and existing knowledge regarding the population burden of injury measurement. The review of studies that measured burden of injury shows that estimates of the population burden remain uncertain because of a weak epidemiologic foundation; limited information on incidence, outcomes, and duration of disability; and a range of methodological problems, including definition and selection of incident and fatal cases, choices in selection of assessment instruments and timings of use for nonfatal injury outcomes, and the underlying concepts of valuation of disability. Recommendations are given for methodological refinements to improve the validity and comparability of future burden of injury studies.
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Affiliation(s)
- Suzanne Polinder
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands.
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Fletcher AE, Khalid S, Mallonee S. The epidemiology of severe traumatic brain injury among persons 65 years of age and older in Oklahoma, 1992–2003. Brain Inj 2009; 21:691-9. [PMID: 17653943 DOI: 10.1080/02699050701426873] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
PRIMARY OBJECTIVE To describe the epidemiology of traumatic brain injury (TBI) among persons 65 years of age and older in Oklahoma from 1992-2003. RESEARCH DESIGN Descriptive epidemiology of data collected through active statewide surveillance on TBI inpatient hospitalizations and fatalities. METHODS AND PROCEDURES Data collected from hospital medical records and the Office of the Chief Medical Examiner. TBI was defined by ICD-9-CM codes for skull fracture 800.0-801.9, 803.0-804.9, concussion or other intracranial injury 850.0-854.1 and head injury, unspecified 959.01; all cases included a description of TBI. MAIN OUTCOME AND RESULTS TBI rates increased 79% for the study population; however, case-fatality rates decreased from 32% in 1992 to 18% in 2003. The TBI rate increase was observed among all elderly age groups, both genders and all races. Unintentional injuries nearly doubled while both assault and self-inflicted injuries decreased. Fall-related TBI increased by 126%, while MVC-related TBI increased by 17%. Survivors were hospitalized for an average of 6.8 days and over half required post-acute care. CONCLUSIONS The increased TBI rate and decreased case-fatality rate among elderly persons means potentially more persons living with TBI disability. TBI prevention efforts among the elderly must be expanded, especially for fall-related TBI.
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Affiliation(s)
- Amy E Fletcher
- Oklahoma State Department of Health, Oklahoma City, OK 73117-1299, USA.
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Rodriguez SR, Mallonee S, Archer P, Gofton J. Evaluation of death certificate-based surveillance for traumatic brain injury--Oklahoma 2002. Public Health Rep 2006; 121:282-9. [PMID: 16640151 PMCID: PMC1525278 DOI: 10.1177/003335490612100310] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES Death certificate data are used to estimate state and national incidence of traumatic brain injury (TBI)-related deaths. This study evaluated the accuracy of this estimate in Oklahoma and examined the case characteristics of those persons who experienced a TBI-related death but whose death certificate did not reflect a TBI. METHODS Data from Oklahoma's vital statistics multiple-cause-of-death database and from the Oklahoma Injury Surveillance System database were analyzed for TBI deaths that occurred during 2002. Cases were defined using the Centers for Disease Control and Prevention (CDC) ICD-10 code case definition. In multivariate analysis using a logistic regression model, we examined the association of case characteristics and the absence of a death certificate for persons who experienced a TBI-related death. RESULTS Overall, sensitivity of death certificate-based surveillance was 78%. The majority (62%) of missed cases were due to listing "multiple trauma" as the cause of death. Death certificate surveillance was more likely to miss TBI-related deaths among traffic crashes, falls, and persons aged > or = 65 years. After adding missed cases to cases captured by death certificate surveillance, traffic crashes surpassed firearm fatalities as the leading external cause of TBI-related death. CONCLUSIONS Death certificate surveillance underestimated TBI-related death in Oklahoma and might lead to national underreporting. More accurate and detailed completion of death certificates would result in better estimates of the burden of TBI-related death. Educational efforts to improve death certificate completion could substantially increase the accuracy of mortality statistics.
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Affiliation(s)
- Sara Russell Rodriguez
- Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA.
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Nelson LM, Tanner CM, Van Den Eeden SK, McGuire VM. Brain and Spinal Cord Injury. Neuroepidemiology 2004. [DOI: 10.1093/acprof:oso/9780195133790.003.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Up to 50% of all trauma deaths in the United States involve significant injury to the brain or spinal cord. This chapter highlights the public health significance of traumatic brain and spinal cord injury and examines methodological issues in studies of the epidemiology of these injuries. It addresses methodological challenges in epidemiologic and clinical studies of brain and spinal cord injury, including difficulties in case ascertainment, differing approaches to brain injury classification, and measurement issues in brain injury severity and outcome scales. The chapter summarizes scientific literature addressing demographic and lifestyle risk factors for brain injury including age, sex, and alcohol consumption. External causes of traumatic brain and spinal cord injury are also discussed, including transportation-related injuries and increasingly recognized sports-related brain injuries.
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Tercero F, Andersson R. Measuring transport injuries in a developing country: an application of the capture-recapture method. ACCIDENT; ANALYSIS AND PREVENTION 2004; 36:13-20. [PMID: 14572822 DOI: 10.1016/s0001-4575(02)00109-4] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The purposes of this study are to provide an estimation of the incidence of transport injuries in a defined local community in Nicaragua by using the capture-recapture method, and to compare results using this method when data at different levels of severity are utilized. Two sources of injury data were used to monitor injuries: hospital data (inpatient and outpatient) and traffic police records. Characteristics available for matching included name, age, sex, and date of occurrence. The methodology of capture-recapture was used to estimate the ascertainment degree of both sources of data and the estimate mortality and incidence rates. Estimates were calculated both when all hospital data were taken into account (inpatient and outpatient combined) and when only inpatient records were matched against police records.First, including police records and all hospital data, the mortality and morbidity estimates were 35.5/100000 and 43.7/1000 per year, respectively. Second, when outpatients were excluded from the analysis, the corresponding estimates were 28.6/100000 and 7.5/1000, respectively. In non-fatal cases, the ascertainment-corrected coverage through police records was 2.6% and through hospital surveillance 19.0% when both inpatients and outpatients were included. In fatal cases, the corresponding rates were 56.1 and 22.8%, respectively. The combined data set pointed out pedestrians and cyclists as the main risk groups. Most fatalities were due to head injuries. Our results show that neither police records nor hospital records nor the aggregate database provided acceptable coverage of transport-related injuries. Combining police and hospital data by means of capture-recapture analysis produces more valid estimates, but caution must be given to the issue of severity heterogeneity between the two sources.
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Affiliation(s)
- Francisco Tercero
- Department of Preventive Medicine, National Autonomous University of Nicaragua, León, Nicaragua
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Abstract
Traumatic brain injury (TBI) is a serious health risk for older adults, and the consequences of TBI range from full recovery to death. For many who survive, there is a legacy of cognitive, physical, and emotional disability. Falls are the major cause of head injury in older adults. There are many risk factors including pre-existing brain disease, other diseases, and, sometimes, iatrogenic factors. Efforts directed at prevention are of great importance. Outcome studies indicate that outcome is generally worse for older people than for younger people with similar injuries, but older individuals also deserve aggressive rehabilitation directed at the best possible recovery. This review will discuss the symptoms and syndromes that commonly result from TBI with comments about treatment.
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Affiliation(s)
- Richard B Ferrell
- Section of Neuropsychiatry, Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA.
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