Dataset Information

Inappropriate medication use among the elderly: a systematic review of administrative databases.

ABSTRACT:

Background

Inappropriate medication use (IMU) by elderly people is a public health problem associated with adverse effects on health. There are a number of methods for identifying IMU, some involving clinical judgment and others, consensually generated lists of drugs to be avoided. This review aims to describe studies that used information from insurance company and social security administrative databases to assess IMU among community-dwelling elderly and to present the risk factors most often associated with IMU.

Methods

The paper search was conducted in Medline and Embase, using descriptors combined with free terms in the title or abstract. The limits applied were: publication date from January 1990 to June 2010, species (human) and publication type (excluding editorials, letters and reviews). Excluded were: case studies; studies in hospitals, nursing homes, or hospital emergency departments; studies of specific drugs or groups of drugs; studies exclusively of subgroups of ill, frail elderly or rural populations. Additional studies were identified from reference lists. Data were selected and extracted after independent reading by two of the authors, with disagreements resolved by a third author. The primary outcome assessed was prevalence of IMU, defined as the proportion of elderly who received at least one inappropriate medication.

Results

Of the 628 studies, 19 met the inclusion criteria, 78.9% of them conducted in the USA. All papers included used explicit criteria of inappropriateness, most commonly Beers criteria (73.7%) in their three versions (1991, 1997 and 2002). Other methods used included Zhan, which is derived from on Beers criteria and was applied in 21% of the papers selected. The study found that prevalence of IMU ranged from 11.5% to 62.5%. Only 68.4% of the studies included examined inappropriate use-related factors, the most important being female sex, advanced age and larger number of drugs.

Conclusions

The results show that the prevalence of IMU among community-dwelling elderly is high and depends partly on the method used to evaluate improper use. Besides the diversity of methods, other factors, such as patient sex, age and number of drugs used concurrently, appear to have influenced the estimates of IMU.

SUBMITTER: Guaraldo L

PROVIDER: S-EPMC3267683 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Inappropriate medication use among the elderly: a systematic review of administrative databases.

Guaraldo Lusiele L Cano Fabíola G FG Damasceno Glauciene S GS Rozenfeld Suely S

BMC geriatrics 20111130

<h4>Background</h4>Inappropriate medication use (IMU) by elderly people is a public health problem associated with adverse effects on health. There are a number of methods for identifying IMU, some involving clinical judgment and others, consensually generated lists of drugs to be avoided. This review aims to describe studies that used information from insurance company and social security administrative databases to assess IMU among community-dwelling elderly and to present the risk factors mos ...[more]

PMID: 22129458

Similar Datasets

Project description:BackgroundThough administrative databases are increasingly being used for research related to myocardial infarction (MI), the validity of MI diagnoses in these databases has never been synthesized on a large scale.ObjectiveTo conduct the first systematic review of studies reporting on the validity of diagnostic codes for identifying MI in administrative data.MethodsMEDLINE and EMBASE were searched (inception to November 2010) for studies: (a) Using administrative data to identify MI; or (b) Evaluating the validity of MI codes in administrative data; and (c) Reporting validation statistics (sensitivity, specificity, positive predictive value (PPV), negative predictive value, or Kappa scores) for MI, or data sufficient for their calculation. Additonal articles were located by handsearch (up to February 2011) of original papers. Data were extracted by two independent reviewers; article quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool.ResultsThirty studies published from 1984-2010 were included; most assessed codes from the International Classification of Diseases (ICD)-9th revision. Sensitivity and specificity of hospitalization data for identifying MI in most [≥50%] studies was ≥86%, and PPV in most studies was ≥93%. The PPV was higher in the more-recent studies, and lower when criteria that do not incorporate cardiac troponin levels (such as the MONICA) were employed as the gold standard. MI as a cause-of-death on death certificates also demonstrated lower accuracy, with maximum PPV of 60% (for definite MI).ConclusionsHospitalization data has higher validity and hence can be used to identify MI, but the accuracy of MI as a cause-of-death on death certificates is suboptimal, and more studies are needed on the validity of ICD-10 codes. When using administrative data for research purposes, authors should recognize these factors and avoid using vital statistics data if hospitalization data is not available to confirm deaths from MI.

Project description:ObjectiveTo conduct a systematic review of studies reporting on the validity of International Classification of Diseases (ICD) codes for identifying stroke in administrative data.MethodsMEDLINE and EMBASE were searched (inception to February 2015) for studies: (a) Using administrative data to identify stroke; or (b) Evaluating the validity of stroke codes in administrative data; and (c) Reporting validation statistics (sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), or Kappa scores) for stroke, or data sufficient for their calculation. Additional articles were located by hand search (up to February 2015) of original papers. Studies solely evaluating codes for transient ischaemic attack were excluded. Data were extracted by two independent reviewers; article quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool.ResultsSeventy-seven studies published from 1976-2015 were included. The sensitivity of ICD-9 430-438/ICD-10 I60-I69 for any cerebrovascular disease was ? 82% in most [? 50%] studies, and specificity and NPV were both ? 95%. The PPV of these codes for any cerebrovascular disease was ? 81% in most studies, while the PPV specifically for acute stroke was ? 68%. In at least 50% of studies, PPVs were ? 93% for subarachnoid haemorrhage (ICD-9 430/ICD-10 I60), 89% for intracerebral haemorrhage (ICD-9 431/ICD-10 I61), and 82% for ischaemic stroke (ICD-9 434/ICD-10 I63 or ICD-9 434&436). For in-hospital deaths, sensitivity was 55%. For cerebrovascular disease or acute stroke as a cause-of-death on death certificates, sensitivity was ? 71% in most studies while PPV was ? 87%.ConclusionsWhile most cases of prevalent cerebrovascular disease can be detected using 430-438/I60-I69 collectively, acute stroke must be defined using more specific codes. Most in-hospital deaths and death certificates with stroke as a cause-of-death correspond to true stroke deaths. Linking vital statistics and hospitalization data may improve the ascertainment of fatal stroke.

Project description:BackgroundSeveral classifications to identify and avoid use of potentially inappropriate medications (PIMs) in the elderly have been published. To what extent these classifications match each other and whether there are differences in the prevalence of PIM use at admission, during the inpatient stay and at discharge are largely unreported.ObjectivesTo determine the PIM prevalence in elderly patients at a university hospital, with a special focus on different classification systems and the chronological sequence, and to examine a possible association between PIM use and the reason for admission, as well as severe side effects and consequences of PIM use during hospitalization.MethodsOn the basis of the criteria provided by FORTA (Fit for the Aged), PRISCUS (Latin for 'time-honoured') and STOPP (Screening Tool of Older Persons' Potentially Inappropriate Prescriptions), medication in patients over the age of 65 years was screened retrospectively within four point prevalence analyses at admission, during the inpatient stay and at discharge. Evaluation of a possible association between PIM use and the primary diagnosis or severe side effects during hospitalization was performed according to an analysis using the World Health Organization Uppsala Monitoring Centre system for standardized case causality assessment.ResultsOf 200 patients, 176 (88 %) received at least one PIM at admission, during the inpatient stay and/or at discharge (116 patients according to FORTA, 113 according to PRISCUS and 138 according to STOPP). When the PIM prevalence was compared between the three different sets of criteria, STOPP identified significantly more patients receiving PIMs than FORTA (P = 0.022) and PRISCUS (P = 0.010). At the patient level and at the drug level, the use of PIMs increased during the inpatient stay; however, the PIM prevalence was similar at admission and at discharge, both at the patient level and at the drug level.ConclusionMedication is rated significantly differently by FORTA, PRISCUS and STOPP. In addition, a significant rise in prescribing of PIMs during the inpatient stay illustrates that a reduction in PIM use during the inpatient stay is essential, as it is known that avoiding PIM use in older adults is one strategy to decrease the risk of adverse events.

Project description:Breast, lung and colorectal cancers constitute the most common cancers worldwide and their epidemiology, related health outcomes and quality indicators can be studied using administrative healthcare databases. To constitute a reliable source for research, administrative healthcare databases need to be validated. The aim of this protocol is to perform the first systematic review of studies reporting the validation of International Classification of Diseases 9th and 10th revision codes to identify breast, lung and colorectal cancer diagnoses in administrative healthcare databases.This review protocol has been developed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA-P) 2015 statement. We will search the following databases: MEDLINE, EMBASE, Web of Science and the Cochrane Library, using appropriate search strategies. We will include validation studies that used administrative data to identify breast, lung and colorectal cancer diagnoses or studies that evaluated the validity of breast, lung and colorectal cancer codes in administrative data. The following inclusion criteria will be used: (1) the presence of a reference standard case definition for the disease of interest; (2) the presence of at least one test measure (eg, sensitivity, positive predictive values, etc) and (3) the use of data source from an administrative database. Pairs of reviewers will independently abstract data using standardised forms and will assess quality using a checklist based on the Standards for Reporting of Diagnostic accuracy (STARD) criteria.Ethics approval is not required. We will submit results of this study to a peer-reviewed journal for publication. The results will serve as a guide to identify appropriate case definitions and algorithms of breast, lung and colorectal cancers for researchers involved in validating administrative healthcare databases as well as for outcome research on these conditions that used administrative healthcare databases.CRD42015026881.

Project description:ObjectiveHeart failure (HF) is an important covariate and outcome in studies of elderly populations and cardiovascular disease cohorts, among others. Administrative data is increasingly being used for long-term clinical research in these populations. We aimed to conduct the first systematic review and meta-analysis of studies reporting on the validity of diagnostic codes for identifying HF in administrative data.MethodsMEDLINE and EMBASE were searched (inception to November 2010) for studies: (a) Using administrative data to identify HF; or (b) Evaluating the validity of HF codes in administrative data; and (c) Reporting validation statistics (sensitivity, specificity, positive predictive value [PPV], negative predictive value, or Kappa scores) for HF, or data sufficient for their calculation. Additional articles were located by hand search (up to February 2011) of original papers. Data were extracted by two independent reviewers; article quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. Using a random-effects model, pooled sensitivity and specificity values were produced, along with estimates of the positive (LR+) and negative (LR-) likelihood ratios, and diagnostic odds ratios (DOR = LR+/LR-) of HF codes.ResultsNineteen studies published from 1999-2009 were included in the qualitative review. Specificity was ≥95% in all studies and PPV was ≥87% in the majority, but sensitivity was lower (≥69% in ≥50% of studies). In a meta-analysis of the 11 studies reporting sensitivity and specificity values, the pooled sensitivity was 75.3% (95% CI: 74.7-75.9) and specificity was 96.8% (95% CI: 96.8-96.9). The pooled LR+ was 51.9 (20.5-131.6), the LR- was 0.27 (0.20-0.37), and the DOR was 186.5 (96.8-359.2).ConclusionsWhile most HF diagnoses in administrative databases do correspond to true HF cases, about one-quarter of HF cases are not captured. The use of broader search parameters, along with laboratory and prescription medication data, may help identify more cases.

Project description:BACKGROUND: Explicit criteria for determining potentially inappropriate medication consumption in elderly were elaborated by Beers et al. These lists have been used worldwide to evaluate medical prescriptions but there is little epidemiologic evidence demonstrating negative consequences of inappropriate medication use. It has been reported that some drugs could increase the risk of falls, which are a frequent and serious problem in elderly population. We aimed to evaluate the association between the use of potentially inappropriate medications and the risk of falls. METHODS: The 3C Study is a multicentre prospective cohort study conducted in France with 4 years of follow-up. Non-institutionalized men and women aged 65 years or over (N = 6343) were randomly selected from electoral rolls. Data on socio-demographic, medical characteristics and medication use (based on self-reports and data from the national healthcare insurance) were collected. Use of inappropriate medication for elderly was defined from established criteria. Data about falls were collected at the two follow-up examinations (2 years and 4 years after baseline). The association between the exposure to inappropriate medications and the risk of falls was evaluated using multivariate models (Cox model and logistic regression). RESULTS: 32% of subjects reported inappropriate medication use at baseline and 29% at least two of the three examinations; 22% had fallen 2 times or more during follow-up. Overall, inappropriate medication users had an increased risk of falling. This increase was mainly due to the use of long-acting benzodiazepines (adjusted odds ratio (OR) = 1.4, 95% confidence interval: [1.1-1.8], in both occasional and regular users), other inappropriate psychotropics (adjusted OR = 1.7 [1.7-2.7] in regular users), or medication with anticholinergic properties (adjusted OR = 1.6 [1.2-2.1] in regular users). Neither occasional, nor regular use of short- or intermediate-acting benzodiazepines was associated with an increased risk of falling. Further analysis in long-acting benzodiazepines users did not show any dose-effect relation between the number of prescriptions filled over a 3-year period and the risk of falling. CONCLUSION: Our study showed that use of inappropriate medications was associated with an increased risk of falling in elderly persons. This increase was mainly due to long-acting benzodiazepines and other inappropriate psychotropics, and to medications with anticholinergic properties.

Dataset Information

Inappropriate medication use among the elderly: a systematic review of administrative databases.

Background

Methods

Results

Conclusions

Publications

Inappropriate medication use among the elderly: a systematic review of administrative databases.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets