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Objectives To evaluate whether race influences agreement between screening results and documentation of cognitive impairment and delirium. Design Secondary data analysis. Setting An urban, public hospital and healthcare system. Participants Hospitalized older adults aged 65 and older admitted to general inpatient medical services evaluated for cognitive impairment (n = 851) and evaluated for delirium (n = 424). Measurements Cognitive impairment and delirium were measured in each participant using the Short Portable Mental Status Questionnaire ( SPMSQ) and the Confusion Assessment Method ( CAM), respectively, as the reference identification method. Clinical documentation of cognitive impairment and delirium was defined according to the presence of International Classification of Diseases, Ninth Revision ( ICD-9), codes from within 1 year before hospitalization through discharge for cognitive impairment or from hospital admission through discharge for delirium. Results Two hundred ninety-four participants (34%) had cognitive impairment based on SPMSQ performance, and 163 (38%) had delirium based on CAM results. One hundred seventy-one (20%) of those with cognitive impairment had an ICD-9 code for cognitive impairment, whereas 92 (22%) of those with delirium had an ICD-9 code for delirium. After considering age, sex, education, socioeconomic status, chronic comorbidity, and severity of acute illness, of those who screened positive on the SPMSQ, African Americans had a higher adjusted odds ratio ( AOR) than non-African Americans for clinical documentation of cognitive impairment ( AOR = 1.66, 95% confidence interval ( CI) = 0.95-2.89), and of those who screened negative on the SPMSQ, African Americans had higher odds of clinical documentation of cognitive impairment ( AOR = 2.10, 95% CI = 1.17-3.78) than non-African Americans. There were no differences in clinical documentation rates of delirium between African Americans and non-African Americans. Conclusion Racial differences in coding for cognitive impairment may exist, resulting in higher documentation of cognitive impairment in African Americans screening positive or negative for cognitive impairment. [ABSTRACT FROM AUTHOR]

The literature on the association between apolipoprotein E (ApoE) and mortality across ethnic and age groups has been inconsistent. No studies have looked at this association in developing countries. We used data from the Indianapolis-Ibadan Dementia study to examine this association between APOE and mortality in 354 African-Americans from Indianapolis and 968 Yoruba from Ibadan, Nigeria. Participants were followed up to 9.5 years for Indianapolis and 8.7 years for Ibadan. Subjects from both sites were divided into 2 groups based upon age at baseline. A Cox proportional hazards regression model adjusting for age at baseline, education, hypertension, smoking history and gender in addition to time-dependent covariates of cancer, diabetes, heart disease, stroke, and dementia was fit for each cohort and age group. Having ApoE epsilon4 alleles significantly increased mortality risk in Indianapolis subjects under age 75 (hazard ratio: 2.00; 95% CI: 1.19-3.35; p = 0.0089). No association was found in Indianapolis subjects 75 and older (hazard ratio: 0.71; 95% CI: 0.45-1.10; p = 0.1238), Ibadan subjects under 75 (hazard ratio: 1.04; 95% CI: 0.78 to 1.40; p = 0.7782), or Ibadan subjects over 75 (hazard ratio: 1.21; 95% CI: 0.83 to 1.75; p = 0.3274). [ABSTRACT FROM AUTHOR]

Background: Many patients with atrial fibrillation (AF) remain undiagnosed despite availability of interventions to reduce stroke risk. Predictive models to date are limited by data requirements and theoretical usage. We aimed to develop a model for predicting the 2-year probability of AF diagnosis and implement it as proof-of-concept (POC) in a production electronic health record (EHR)., Methods: We used a nested case-control design using data from the Indiana Network for Patient Care. The development cohort came from 2016 to 2017 (outcome period) and 2014 to 2015 (baseline). A separate validation cohort used outcome and baseline periods shifted 2 years before respective development cohort times. Machine learning approaches were used to build predictive model. Patients ≥ 18 years, later restricted to age ≥ 40 years, with at least two encounters and no AF during baseline, were included. In the 6-week EHR prospective pilot, the model was silently implemented in the production system at a large safety-net urban hospital. Three new and two previous logistic regression models were evaluated using receiver-operating characteristics. Number, characteristics, and CHA 2 DS 2 -VASc scores of patients identified by the model in the pilot are presented., Results: After restricting age to ≥ 40 years, 31,474 AF cases (mean age, 71.5 years; female 49%) and 22,078 controls (mean age, 59.5 years; female 61%) comprised the development cohort. A 10-variable model using age, acute heart disease, albumin, body mass index, chronic obstructive pulmonary disease, gender, heart failure, insurance, kidney disease, and shock yielded the best performance (C-statistic, 0.80 [95% CI 0.79-0.80]). The model performed well in the validation cohort (C-statistic, 0.81 [95% CI 0.8-0.81]). In the EHR pilot, 7916/22,272 (35.5%; mean age, 66 years; female 50%) were identified as higher risk for AF; 5582 (70%) had CHA 2 DS 2 -VASc score ≥ 2., Conclusions: Using variables commonly available in the EHR, we created a predictive model to identify 2-year risk of developing AF in those previously without diagnosed AF. Successful POC implementation of the model in an EHR provided a practical strategy to identify patients who may benefit from interventions to reduce their stroke risk.

Background: Data on initiation and utilization of direct-acting antiviral therapies for hepatitis C virus infection in the United States are limited. This study evaluated treatment initiation, time to treatment, and real-world effectiveness of direct-acting antiviral therapy in individuals with hepatitis C virus infection treated during the first 2 years of availability of all-oral direct-acting antiviral therapies., Methods: A retrospective cohort analysis was undertaken using electronic medical records and chart review abstraction of hepatitis C virus-infected individuals aged >18 years diagnosed with chronic hepatitis C virus infection between January 1, 2014, and December 31, 2015 from the Indiana University Health database., Results: Eight hundred thirty people initiated direct-acting antiviral therapy during the 2-year observation window. The estimated incidence of treatment initiation was 8.8%±0.34% at the end of year 1 and 15.0%±0.5% at the end of year 2. Median time to initiating therapy was 300 days. Using a Cox regression analysis, positive predictors of treatment initiation included age (hazard ratio, 1.008), prior hepatitis C virus treatment (1.74), cirrhosis (2.64), and history of liver transplant (1.5). History of drug abuse (0.43), high baseline alanine aminotransferase levels (0.79), hepatitis B virus infection (0.41), and self-pay (0.39) were negatively associated with treatment initiation. In the evaluable population (n = 423), 83.9% (95% confidence interval, 80.1-87.3%) of people achieved sustained virologic response., Conclusion: In the early years of the direct-acting antiviral era, <10% of people diagnosed with chronic hepatitis C virus infection received direct-acting antiviral treatment; median time to treatment initiation was 300 days. Future analyses should evaluate time to treatment initiation among those with less advanced fibrosis., Competing Interests: P.Y.K. has received grants from the Regenstrief Institute relevant to the work under consideration, and has also received grants and personal fees from AbbVie, BMS, Merck, and Janssen; grants from Gilead and Target Registries; and personal fees from Quest. A.P. is an employee of Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA, and holds stock in Merck and Co., Inc., Kenilworth, NJ, USA. This does not alter our adherence to PLOS ONE policies on sharing data and materials (as detailed online in the guide for authors http://journals.plos.org/plosone/s/competinginterests). Z.Z., S.L.H, A.A.K., and D.M. declare no conflicts of interest.

Background and Objective: Electronic health records databases are increasingly used for identifying cohort populations, covariates, or outcomes, but discerning such clinical 'phenotypes' accurately is an ongoing challenge. We developed a flexible method using overlapping (Venn diagram) queries. Here we describe this approach to find patients hospitalized with acute congestive heart failure (CHF), a sampling strategy for one-by-one 'gold standard' chart review, and calculation of positive predictive value (PPV) and sensitivities, with SEs, across different definitions., Materials and Methods: We used retrospective queries of hospitalizations (2002-2011) in the Indiana Network for Patient Care with any CHF ICD-9 diagnoses, a primary diagnosis, an echocardiogram performed, a B-natriuretic peptide (BNP) drawn, or BNP >500 pg/mL. We used a hybrid between proportional sampling by Venn zone and over-sampling non-overlapping zones. The acute CHF (presence/absence) outcome was based on expert chart review using a priori criteria., Results: Among 79,091 hospitalizations, we reviewed 908. A query for any ICD-9 code for CHF had PPV 42.8% (SE 1.5%) for acute CHF and sensitivity 94.3% (1.3%). Primary diagnosis of 428 and BNP >500 pg/mL had PPV 90.4% (SE 2.4%) and sensitivity 28.8% (1.1%). PPV was <10% when there was no echocardiogram, no BNP, and no primary diagnosis. 'False positive' hospitalizations were for other heart disease, lung disease, or other reasons., Conclusions: This novel method successfully allowed flexible application and validation of queries for patients hospitalized with acute CHF.

Background: Among physicians who perform endoscopic retrograde cholangiopancreatography (ERCP), the relationship between procedure volume and outcome is unknown., Objective: Quantify the ERCP volume-outcome relationship by measuring provider-specific failure rates, hospitalization rates, and other quality measures., Research Design: Retrospective cohort., Subjects: A total of 16,968 ERCPs performed by 130 physicians between 2001 and 2011, identified in the Indiana Network for Patient Care., Measures: Physicians were classified by their average annual Indiana Network for Patient Care volume and stratified into low (<25/y) and high (≥25/y). Outcomes included failed procedures, defined as repeat ERCP, percutaneous transhepatic cholangiography or surgical exploration of the bile duct≤7 days after the index procedure, hospitalization rates, and 30-day mortality., Results: Among 15,514 index ERCPs, there were 1163 (7.5%) failures; the failure rate was higher among low (9.5%) compared with high volume (5.7%) providers (P<0.001). A second ERCP within 7 days (a subgroup of failure rate) occurred more frequently when the original ERCP was performed by a low-volume (4.1%) versus a high-volume physician (2.3%, P=0.013). Patients were more frequently hospitalized within 24 hours when the ERCP was performed by a low-volume (28.3%) versus high-volume physician (14.8%, P=0.002). Mortality within 30 days was similar (low=1.9%, high=1.9%). Among low-volume physicians and after adjusting, the odds of having a failed procedure decreased 3.3% (95% confidence interval, 1.6%-5.0%, P<0.001) with each additional ERCP performed per year., Conclusions: Lower provider volume is associated with higher failure rate for ERCP, and greater need for postprocedure hospitalization.

Background: Delirium evaluation in patients in the ICU requires the use of an arousal/sedation assessment tool prior to assessing consciousness. The Richmond Agitation-Sedation Scale (RASS) and the Riker Sedation-Agitation Scale (SAS) are well-validated arousal/sedation tools. We sought to assess the concordance of RASS and SAS assessments in determining eligibility of patients in the ICU for delirium screening using the confusion assessment method for the ICU (CAM-ICU)., Methods: We performed a prospective cohort study in the adult medical, surgical, and progressive (step-down) ICUs of a tertiary care, university-affiliated, urban hospital in Indianapolis, Indiana. The cohort included 975 admissions to the ICU between January and October 2009., Results: The outcome measures of interest were the correlation and agreement between RASS and SAS measurements. In 2,469 RASS and SAS paired screens, the rank correlation using the Spearman correlation coefficient was 0.91, and the agreement between the two screening tools for assessing CAM-ICU eligibility as estimated by the κ coefficient was 0.93. Analysis showed that 70.1% of screens were eligible for CAM-ICU assessment using RASS (7.1% sedated [RASS −3 to −1]; 62.6% calm [0]; and 0.4% restless, agitated [+1 to +3]), compared with 72.1% using SAS (5% sedated [SAS 3]; 66.5% calm [4]; and 0.6% anxious, agitated [5, 6]). In the mechanically ventilated subgroup, RASS identified 19.1% CAM-ICU eligible patients compared with 24.6% by SAS. The correlation coefficient in this subgroup was 0.70 and the agreement was 0.81., Conclusion: Both SAS and RASS led to similar rates of delirium assessment using the CAM-ICU.

Background: Delirium prevalence in the intensive care unit (ICU) is high. Numerous psychotropic agents are used to manage delirium in the ICU with limited data regarding their efficacy or harms., Methods/design: This is a randomized controlled trial of 428 patients aged 18 and older suffering from delirium and admitted to the ICU of Wishard Memorial Hospital in Indianapolis. Subjects assigned to the intervention group will receive a multicomponent pharmacological management protocol for delirium (PMD) and those assigned to the control group will receive no change in their usual ICU care. The primary outcomes of the trial are (1) delirium severity as measured by the Delirium Rating Scale revised-98 (DRS-R-98) and (2) delirium duration as determined by the Confusion Assessment Method for the ICU (CAM-ICU). The PMD protocol targets the three neurotransmitter systems thought to be compromised in delirious patients: dopamine, acetylcholine, and gamma-aminobutyric acid. The PMD protocol will target the reduction of anticholinergic medications and benzodiazepines, and introduce a low-dose of haloperidol at 0.5-1 mg for 7 days. The protocol will be delivered by a combination of computer (artificial intelligence) and pharmacist (human intelligence) decision support system to increase adherence to the PMD protocol., Discussion: The proposed study will evaluate the content and the delivery process of a multicomponent pharmacological management program for delirium in the ICU., Trial Registration: ClinicalTrials.gov: NCT00842608.

Objectives: Among patients who arrive at an emergency department (ED) with pain, over half remain in moderate or severe pain at ED discharge. Our objectives were to identify ED physicians' prescribing patterns when discharging patients with common musculoskeletal conditions and to determine if disparities in opioid prescribing exist., Design: Five-year retrospective investigation., Setting: An urban, academic ED with approximately 100,000 annual visits, where physicians write discharge prescriptions, including over-the-counter medications, using a computerized order entry system., Patients: Adult patients who were discharged home from an ED with fractures (clavicle or long bone fractures) or non-fracture musculoskeletal diagnoses (sprains, strains, sciatica, or back pain)., Outcome Measures: Patient demographics and pain medications prescribed for use at home., Results: The study sample included 13,335 patients with a mean age of 39 years. Half were female; 52% were white; 39% were black; and 7% were Hispanic. Among fracture patients, 77% received an opioid prescription, 2% received a non-opioid prescription, and 21% received no analgesic prescription. The percentages for patients with non-fracture diagnoses were 65% (opioids), 18% (non-opioid analgesics), and 17% (no analgesic). Patients aged 80 years and older were significantly less likely to receive opioid prescriptions. Although prescribing by race for fractures was similar, significantly fewer black and Hispanic patients with non-fracture diagnoses received opioid prescriptions, compared with white patients., Conclusions: Approximately one fifth of patients in the fracture and non-fracture groups did not receive an analgesic prescription. Age greater than 80 years and minority race/ethnic status were associated with lower rates of opioid prescribing.

Context: Several genome-wide association studies (GWAS) have been performed to identify genes contributing to bone mineral density (BMD), typically in samples of elderly women and men., Objective: The objective of the study was to identify genes contributing to BMD in premenopausal women., Design: GWAS using the Illumina 610Quad array in premenopausal European-American (EA) women and replication of the top 50 single-nucleotide polymorphisms (SNPs) for two BMD measures in African-American (AA) women., Subjects: Subjects included 1524 premenopausal EA women aged 20-45 yr from 762 sibships and 669 AA premenopausal women aged 20-44 yr from 383 sibships., Interventions: There were no interventions., Main Outcome Measures: BMD was measured at the lumbar spine and femoral neck by dual-energy x-ray absorptiometry. Age- and weight-adjusted BMD values were tested for association with each SNP, with P values determined by permutation., Results: SNPs in CATSPERB on chromosome 14 provided evidence of association with femoral neck BMD (rs1298989, P = 2.7 x 10(-5); rs1285635, P = 3.0 x 10(-5)) in the EA women, and some supporting evidence was also observed with these SNPs in the AA women (rs1285635, P = 0.003). Genes identified in other BMD GWAS studies, including IBSP and ADAMTS18, were also among the most significant findings in our GWAS., Conclusions: Evidence of association to several novel loci was detected in a GWAS of premenopausal EA women, and SNPs in one of these loci also provided supporting evidence in a sample of AA women.

Background: Older adults are predisposed to developing cognitive deficits. This increases their vulnerability for adverse health outcomes when hospitalized., Objective: To determine the prevalence and impact of cognitive impairment (CI) among hospitalized elders based on recognition by lCD-coding versus screening done on admission., Design: Observational cohort study., Setting: Urban public hospital in Indianapolis., Patients: 997 patients age 65 and older admitted to medical services between July 2006 and March 2008., Measurements: Impact of CI in terms of length of stay, survival, quality of care and prescribing practices. Cognition was assessed by the Short Portable Mental Status Questionnaire (SPMSQ)., Results: 424 patients (43%) were cognitively impaired. Of those 424 patients with CI, 61% had not been recognized by ICD-9 coding. Those unrecognized were younger (mean age 76.1 vs. 79.1, P <0.001); had more comorbidity (mean Charlson index of 2.3 vs.1.9, P = 0.03), had less cognitive deficit (mean SPMSQ 6.3 vs. 3.4, P < 0.001). Among elders with CI, 163 (38%) had at least one day of delirium during their hospital course. Patients with delirium stayed longer in the hospital (9.2 days vs. 5.9, P < 0.001); were more likely to be discharged into institutional settings (75% vs. 31%, P < 0.001) and more likely to receive tethers during their care (89% vs. 69%, P < 0.001), and had higher mortality (9% vs. 4%, P = 0.09)., Conclusion: Cognitive impairment, while common in hospitalized elders, is under-recognized, impacts care, and increases risk for adverse health outcomes.

In today's environment, providers are extremely time-constrained. Assembling relevant contextual data to make decisions on laboratory results can take a significant amount of time from the day. The Regenstrief Institute has created a system which leverages data within Indiana Health Information Exchange's (IHIE's) repository, the Indiana Network for Patient Care (INPC), to provide well-organized and contextual information on returning laboratory results to outpatient providers. The system described here uses data extracted from INPC to add historical test results, medication-dispensing events, visit information, and clinical reminders to traditional laboratory result reports. These "Enhanced Laboratory Reports" (ELRs) are seamlessly delivered to outpatient practices connected through IHIE via the DOCS4DOCS clinical messaging service. All practices, including those without electronic medical record systems, can receive ELRs. In this paper, the design and implementation issues in creating this system are discussed, and generally favorable preliminary results of attitudes by providers towards ELRs are reported.

Objectives: To evaluate the effectiveness of computer-assisted decision support in reducing potentially inappropriate prescribing to older adults., Design: Randomized, controlled trial., Setting: An academic emergency department (ED) in Indianapolis, Indiana, where computerized physician order entry was used to write all medication prescriptions., Participants: Sixty-three emergency physicians were randomized to the intervention (32 physicians) or control (31 physicians) group., Intervention: Decision support that advised against use of nine potentially inappropriate medications and recommended safer substitute therapies., Measurements: The primary outcome was the proportion of ED visits by seniors that resulted in one or more prescriptions for an inappropriate medication. The main secondary outcomes were the proportions of medications prescribed that were inappropriate and intervention physicians' reasons for rejecting the decision support., Results: The average age of the patients was 74, two-thirds were female, and just over half were African American. Decision support was provided 114 times to intervention physicians, who accepted 49 (43%) of the recommendations. Intervention physicians prescribed one or more inappropriate medications during 2.6% of ED visits by seniors, compared with 3.9% of visits managed by control physicians (P=.02; odds ratio=0.55, 95% confidence interval=0.34-0.89). The proportion of all prescribed medications that were inappropriate significantly decreased from 5.4% to 3.4%. The most common reason for rejecting decision support was that the patient had no prior problems with the medication., Conclusion: Computerized physician order entry with decision support significantly reduced prescribing of potentially inappropriate medications for seniors. This approach might be used in other efforts to improve ED care., Trial Registration: Clinical trials.gov Identifier: NCT00297869.

Our goal was to review and extend statistical methods for discriminating between normal subjects and those with dementia or cognitive impairment. We compared six different methods to one constructed by expert opinion, in their brevity and predictive power. The methods include logistic regression and neural networks, with standard and least absolute shrinkage and selection operator (LASSO) variable selection, as well as decision trees with and without boosting. These methods were applied to the baseline data of a subgroup of subjects in a dementia study, using their screening interview items to predict their clinical diagnosis of normal or non-normal (cognitively impaired or demented). The derived models were then validated on a different subgroup of subjects in the same study who had the screening and clinical diagnosis two to five years later. Performance of different models was compared based on their sensitivity and specificity in the validation sample. Generally, the six statistical methods performed slightly to moderately better than the expert-opinion model. Neural networks generally performed better than the logistic and decision tree models. LASSO improved the performance of logistic and neural network models, but it eliminated few input variables in the neural network. The single decision tree performed at least as well as the standard logistic model, and with fewer items, making it an attractive pre-screening tool. Using the boosting option for decision trees did not substantially improve the performance. We recommend that for each situation, different methods of classification should be attempted to obtain optimal results for a given purpose., (Copyright 2004 John Wiley & Sons, Ltd.)

Background: It has not been demonstrated that the implementation of computerized quality improvement strategies can improve client-centered outcomes in public community based, long-term care (CBLTC) programs., Objectives: To test and evaluate 2 innovative computer-assisted, client-centered quality improvement strategies for public community-based, long-term care. The first strategy, the Normative Treatment Planning (NTP) program, assesses needs, prescribes services, and evaluates outcomes. The second strategy, the Client Feedback System (CFS) program, provides service vendors with feedback on client perceptions of services., Research Design: A 2 x 2 factorial design with the 2 strategies using cluster randomization., Subjects: A total of 2222 clients (86% of eligible program clients) enrolled in Indiana's state case management program and/or the Medicaid home and community-based services waiver program for the aged and disabled as of January 1, 1995., Measures: Outcomes of needs met and client satisfaction were measured through telephone surveys every 6 months for 2 years., Results: A total of 1006 participants (45%) completed the 2-year evaluation study. For the group using only the NTP program, perception of needs met and client satisfaction were significantly better than the control group over the 2 years. During this period, the group using only the CFS program had significantly better client satisfaction than the control group. However, the effect sizes of the significant differences were small, and no statistically significant effects were found for the group using both programs., Conclusions: Client-centered quality improvement strategies can be implemented to enable public CBLTC programs to meet client needs better and increase client satisfaction.

Objective: The authors conducted a longitudinal, population-based survey of African Americans in Indianapolis, Indiana, and Yoruba in Ibadan, Nigeria, using the Community Screening Interview for Dementia to assess the predictive value of informant reports of changes in personality on incident dementia and Alzheimer disease., Methods: In all, 3,021 subjects had informants' reports of changes in personality and dementia status (2,084 subjects residing in Ibadan and 937 subjects residing in Indianapolis)., Results: After adjusting for demographic, cognitive, and functional characteristics in two markedly different populations, socioeconomically and culturally, subjects with changes in personality had approximately twice the odds of having dementia as subjects with no change in personality., Conclusion: The finding that in two markedly different populations, personality change is a significant predictor of future dementia, independent of cognition and functional status, should make clinicians particularly sensitive to these reports when they occur in their elderly patients.

Objective: To design a brief cognitive screener with acceptable sensitivity and specificity for identifying subjects with cognitive impairment., Design: Cohort one is assembled from a community-based survey coupled with a second-stage diagnostic evaluation using formal diagnostic criteria for dementia. Cohort two is assembled from referrals to a specialty clinic for dementing disorders that completed the same diagnostic evaluation., Setting: Urban neighborhoods in Indianapolis, Indiana and the Indiana Alzheimer Disease Center., Patients: Cohort one consists of 344 community-dwelling black persons identified from a random sample of 2212 black persons aged 65 and older residing in Indianapolis; cohort two consists of 651 subject referrals to the Alzheimer Disease Center., Measurements: Formal diagnostic clinical assessments for dementia including scores on the Mini-mental state examination (MMSE), a six-item screener derived from the MMSE, the Blessed Dementia Rating Scale (BDRS), and the Word List Recall. Based on clinical evaluations, subjects were categorized as no cognitive impairment, cognitive impairment-not demented, or demented., Results: The mean age of the community-based sample was 74.4 years, 59.4% of the sample were women, and the mean years of education was 10.1. The prevalence of dementia in this sample was 4.3% and the prevalence of cognitive impairment was 24.6%. Using a cut-off of three or more errors, the sensitivity and specificity of the six-item screener for a diagnosis of dementia was 88.7 and 88.0, respectively. In the same sample, the corresponding sensitivity and specificity for the MMSE using a cut-off score of 23 was 95.2 and 86.7. The performance of the two scales was comparable across the two populations studied and using either cognitive impairment or dementia as the gold standard. An increasing number of errors on the six-item screener is highly correlated with poorer scores on longer measures of cognitive impairment., Conclusions: The six-item screener is a brief and reliable instrument for identifying subjects with cognitive impairment and its diagnostic properties are comparable to the full MMSE. It can be administered by telephone or face-to-face interview and is easily scored by a simple summation of errors.

Background: Limited data exist on the impact of dementia in developing nations, including its association with mortality., Objective: The purpose of this paper is to assess the relationship between dementia and five-year mortality on a community dwelling elderly Yoruba population in the developing country of Nigeria and to compare those results with those from an elderly African-American community in Indianapolis., Methods: A two-phase design was used to ascertain dementia status in two sites. In the first phase, the Community Screening Instrument for Dementia (CSI-D) was administered. In the second phase, subjects were sampled for the clinical assessment according to their CSI-D performance category. Proportional hazards regression was used to assess the relationship between mortality and cognitive status at both sites after adjusting for demographics and chronic disease conditions., Results: For the entire screened population, poor and intermediate performance on the CSI-D is associated with increased mortality at both sites; however the effect of CSI-D performance did not significantly differ between the two sites. For the clinically assessed sample, dementia was significantly associated with increased mortality at both sites (Ibadan RR = 2.83, Indianapolis RR = 2.05), but the effect was not significantly different across the two sites., Conclusion: Dementia resulted in an increased risk of mortality for Yoruba of a magnitude similar to African-Americans suggesting that the impact of dementia on mortality risk may be similar for developing and developed countries., (Copyright 2002 John Wiley & Sons, Ltd.)