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Original Contribution |

Association of Incident Dementia With Hospitalizations FREE

Elizabeth A. Phelan, MD, MS; Soo Borson, MD; Louis Grothaus, MS; Steven Balch, MA; Eric B. Larson, MD, MPH
[+] Author Affiliations

Author Affiliations: Division of Gerontology and Geriatric Medicine, Department of Medicine, and Department of Health Services, School of Public Health and Community Medicine (Dr Phelan), and Division of Geriatric Psychiatry, Department of Psychiatry (Dr Borson), University of Washington, and Group Health Research Institute (Messrs Grothaus and Balch and Dr Larson), Seattle.


JAMA. 2012;307(2):165-172. doi:10.1001/jama.2011.1964.
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Published online

Context Dementia is associated with increased rates and often poorer outcomes of hospitalization, including worsening cognitive status. New evidence is needed to determine whether some admissions of persons with dementia might be potentially preventable.

Objective To determine whether dementia onset is associated with higher rates of or different reasons for hospitalization, particularly for ambulatory care–sensitive conditions (ACSCs), for which proactive outpatient care might prevent the need for a hospital stay.

Design, Setting, and Participants Retrospective analysis of hospitalizations among 3019 participants in Adult Changes in Thought (ACT), a longitudinal cohort study of adults aged 65 years or older enrolled in an integrated health care system. All participants had no dementia at baseline and those who had a dementia diagnosis during biennial screening contributed nondementia hospitalizations until diagnosis. Automated data were used to identify all hospitalizations of all participants from time of enrollment in ACT until death, disenrollment from the health plan, or end of follow-up, whichever came first. The study period spanned February 1, 1994, to December 31, 2007.

Main Outcome Measures Hospital admission rates for patients with and without dementia, for all causes, by type of admission, and for ACSCs.

Results Four hundred ninety-four individuals eventually developed dementia and 427 (86%) of these persons were admitted at least once; 2525 remained free of dementia and 1478 (59%) of those were admitted at least once. The unadjusted all-cause admission rate in the dementia group was 419 admissions per 1000 person-years vs 200 admissions per 1000 person-years in the dementia-free group. After adjustment for age, sex, and other potential confounders, the ratio of admission rates for all-cause admissions was 1.41 (95% confidence interval [CI], 1.23-1.61; P < .001), while for ACSCs, the adjusted ratio of admission rates was 1.78 (95% CI, 1.38-2.31; P < .001). Adjusted admission rates classified by body system were significantly higher in the dementia group for most categories. Adjusted admission rates for all types of ACSCs, including bacterial pneumonia, congestive heart failure, dehydration, duodenal ulcer, and urinary tract infection, were significantly higher among those with dementia.

Conclusion Among our cohort aged 65 years or older, incident dementia was significantly associated with increased risk of hospitalization, including hospitalization for ACSCs.

Figures in this Article

Claims-based, retrospective studies have long reported that dementia is associated with increased hospitalizations,19 but empirical data to elucidate this finding are few. Suboptimal management in the outpatient setting may be a contributing factor, as suggested by lower prescription drug costs and fewer office visits after diagnosis.4 Accomplishing adequate chronic disease management is more difficult in persons with dementia, which may lead to hospitalization for acute exacerbation of comorbid conditions.4,5 Nonelective hospitalization of older people, particularly those with dementia, is not a trivial event. Among older persons without dementia, hospitalization for serious illness is associated with subsequent cognitive decline,10 and frail elders, including those with dementia, are at increased risk of delirium, functional decline, and iatrogenic complications during an inpatient stay.1113 Identifying conditions that precipitate hospitalization of elderly individuals with dementia could focus clinical priorities on secondary and tertiary prevention in the outpatient setting and improve health care for this vulnerable and increasing population. We used a unique longitudinal data set to determine whether dementia onset is associated with higher rates of or different reasons for hospitalization, particularly for ambulatory care–sensitive conditions (ACSCs), for which proactive outpatient care might prevent the need for a hospital stay.

Participants

Participants were from the Adult Changes in Thought (ACT) cohort. Begun in 1994, ACT is a population-based, longitudinal study of aging and the incidence of and risk factors for dementia involving more than 3500 members of Group Health Cooperative (GHC), a large integrated health care delivery system.14,15 Eligible persons were aged 65 years or older, cognitively intact, and not residing in a nursing home at time of enrollment in the cohort (mean age at inception was 75.3 years). Participants have been followed up every 2 years with an in-person interview that includes dementia and health status assessment. Participation rates at follow-up visits are generally very high, as reflected in a completeness of follow-up index for ACT of more than 95%.16 Detailed descriptions of study methods have been published previously.10,15,17,18

A biennial examination was conducted to identify cases of incident dementia. Participants who scored less than 86 on the Cognitive Abilities Screening Instrument (CASI) or had symptoms suggesting possible new onset of cognitive impairment underwent a standardized dementia diagnostic evaluation consisting of an examination by a study physician and detailed neuropsychological testing as described elsewhere.15,17 Informants knowledgeable about participants were interviewed as part of the dementia diagnostic workup, and Jorm and Korten Informant Interviews19 were conducted with all informants. The results were presented at a consensus conference attended by study physicians, a neuropsychologist, a research nurse, and interviewers and a consensus diagnosis was recorded based on standardized criteria (Diagnostic and Statistical Manual of Mental Disorders [Fourth Edition ]20 and Neurological and Communicative Disorders and Stroke–Alzheimer Disease and Related Disorders Association21 criteria). Primary care clinicians of ACT participants were notified by letter of a study diagnosis of dementia. Persons found not to have dementia returned to the cohort for biennial evaluations. Participants with incident dementia underwent 1 annual follow-up examination for verification of dementia status and dementia type. The ACT cohort was assembled to determine the incidence of dementia; it was not designed to evaluate dementia outcomes.

Study Design

We used a retrospective, longitudinal cohort design to assess inpatient admission rates in individuals from the ACT study. Follow-up for each participant began at first enrollment in ACT and ended at death, health plan disenrollment, or end of study follow-up (December 31, 2007), whichever came first. During follow-up, some participants developed dementia; most did not. Dementia was treated as a time-varying covariate so that those who developed dementia contributed time at risk to both the nondementia and dementia groups. This approach avoids the bias that results when the nondementia group is restricted to those who are dementia free through follow-up and is consistent with the design of nested case-control studies.22,23

Eligibility Criteria

ACT participants eligible for our analyses met the following selection criteria: (1) did not have dementia at the baseline ACT visit; (2) completed at least 1 ACT follow-up visit (to assess for incident dementia); and (3) were enrolled in GHC at the time of a follow-up visit (to ensure availability of hospitalization data postbaseline). This study was approved by the institutional review boards of GHC and the University of Washington. All ACT participants provided written informed consent for baseline and follow-up assessments at time of enrollment into ACT. The institutional review boards approved a waiver of consent for the present study.

Variables

Outcome Measures. The primary outcome measure was rate of hospitalization, measured as mean number of admissions per year of follow-up. An admission was defined as a hospitalization requiring an overnight stay. An automated hospitalizations file was used to identify admissions during the follow-up period. Hospitalization data from GHC have been validated and used extensively for research.24

The secondary outcome measure was the rate of hospitalization by type, classified by the principal discharge diagnosis (International Classification of Diseases, Ninth Revision [ICD-9 ] code). Large categories/groupings of discharge diagnoses were modeled after those used in the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project.25 Classes of ICD-9 codes comprising each category, along with examples of conditions in a category, are shown in the eTable. We identified ACSCs among principal discharge diagnoses to count conditions for which hospitalization may potentially be prevented with timely, evidence-driven outpatient care.2629 The ACSCs included angina, asthma, bacterial pneumonia, cellulitis, congestive heart failure (CHF) exacerbation, chronic obstructive pulmonary disease exacerbation, dehydration, diabetes, duodenal ulcer, ear/nose/throat infection, gastric ulcer, gastroenteritis, hypertension, hypoglycemia, hypokalemia, influenza, malnutrition, peptic ulcer, seizure disorder, and urinary tract infection (UTI). We used previously described classification schemes for ACSCs to allow direct comparison with other studies.30,31 Although not all admissions for ACSCs are avoidable, and although the concept of an ACSC as originally described26,32,33 addressed the full spectrum of outpatient care recipients and not specifically older persons with dementia, the construct is useful for evaluating the potential effect of dementia on patterns of care. Because all patients were enrolled in the same delivery system, which has no care pathway for persons with dementia, access to care should be comparable and unlikely to confound any group differences. Furthermore, higher rates of hospitalization for ACSCs could pinpoint areas for improvement in the quality of care.34

Covariates. Potential confounders of the association between dementia and hospitalization, including sociodemographic characteristics, comorbid conditions, health behaviors, self-rated health, and place of residence, were ascertained from self-reported data collected at the baseline visit as well as at 2-year follow-up visits. Response options for self-report of race/ethnicity included white, black not of Hispanic origin, Asian or Pacific Islander, American Indian or Alaska Native, Hispanic, and other. Depression was defined as a score of 10 or more on the 10-item Center for Epidemiological Studies Depression Scale (score range, 0-30).35 Comorbidity burden was estimated using the RxRisk score, a case-mix measure that uses automated outpatient pharmacy data to identify medications used to treat chronic conditions known to be associated with future health care cost and use.36 When the score was initially developed,37 an expert panel composed of physicians, pharmacists, and health services researchers selected medication classes and assigned weights to signify the predicted associated chronic disease severity. The RxRisk updates and expands the Chronic Disease Score37 by creating a more complete drug assignment algorithm based on National Drug Codes (unique identifying numbers)38 and expanding the set of conditions used to assess comorbidity. A regression model is used to relate medication classes to health care costs and is expressed in US dollars. The RxRisk score is the linear combination of an individual's age, sex, and set of conditions for which prescription drug dispenses have been observed over a 12-month period. The lowest possible risk score is one determined by age and sex, with scores increasing with age and with men having higher age-adjusted risk. The various versions of the RxRisk have been validated against case-mix models using diagnostic codes and found to perform statistically similarly in terms of population mean cost as well as among individuals likely to be future high users of health care. Important to the present study, no version of the RxRisk includes medications used to treat dementia. Global cognitive function was evaluated based on scores on the CASI (range, 0-100)39 from the baseline ACT assessment. Participants with CASI scores of less than 86 at follow-up received comprehensive evaluations for dementia.

Statistical Analyses

Demographic and health-related characteristics were compared between those who developed dementia and those who did not using t tests (continuous variables) and χ2 tests (categorical variables). Missing baseline data were infrequent; no single covariate had more than 1.6% missing. Our primary analyses compared the admission rates in the 2 groups, with dementia handled as a time-varying covariate. Rates were computed as the total number of admissions in each group divided by the number of years of follow-up in that group. For the dementia group, only admissions following the first dementia diagnosis were used in computing admission rates. In the nondementia group, the rate was computed as the total number of admissions among persons while free of dementia divided by the total years of dementia-free follow-up. (In the Tables, rates are presented as rates per 1000 person-years.) We then computed the ratio of the admission rates for the dementia and nondementia groups. To account for time-varying covariates (including dementia status), we divided each person's follow-up period into a series of periods averaging approximately 2 years in length, timed to start and end with the dates of each person's baseline and follow-up ACT visit dates. Since this analysis involved repeated observations for the same person, we used the generalized estimating equation version of Poisson regression to account for any within-person correlation. P values and confidence intervals for ratios were computed using empirical standard errors to account for overdispersion in Poisson regression models.40,41 For key outcomes, we repeated the analysis using negative binomial regression; results were similar so are not reported herein. In fully adjusted models including all covariates, only 5% of observations were excluded because of missing baseline or follow-up information. Only 65 participants (2.2%) were excluded entirely from the fully adjusted analysis. Given this low frequency of missing data, we did not impute missing covariates.

Three sets of Poisson regression analyses were performed for each outcome: unadjusted, age- and sex-adjusted, and “fully” adjusted. In adjusted models, linear and quadratic terms for age for each sex were included to account for the nonlinear relationship between hospitalization rates and age. All tests were 2-sided and P < .05 was considered statistically significant. To account for the possibility that moving into a nursing home could alter patterns of medical care and influence decisions regarding hospitalization, we fit a fully adjusted model adding nursing home residence at follow-up. All analyses were carried out using SAS software, version 9.0 (SAS Institute Inc).

Participant Characteristics

A total of 3019 ACT participants met eligibility criteria and were included in the analyses (Figure). Thirty-four participants (6.9%) who developed dementia discontinued follow-up prior to the end of the study period because of disenrollment from the health plan and 290 (58.7%) died; 325 (12.9%) of the group that remained dementia-free left the health plan and 668 (26.5%) died prior to the end of the study (December 31, 2007).

Place holder to copy figure label and caption
Figure. Participant Flow and Vital Status at End of Follow-up
Graphic Jump Location

aNo follow-up visit during study period due to either not being due for follow-up or not presenting for follow-up visit when invited.
bEligibility criteria included (1) enrolled in ACT between 1993 and 2005; (2) free of dementia at time of ACT enrollment; (3) completed baseline assessment as part of ACT; and (4) had at least 1 follow-up visit with ACT to assess dementia status while still enrolled in health plan.

Table 1 shows participant characteristics at ACT enrollment, grouped by dementia status ascertained through the entire follow-up period. Those in the group who eventually developed dementia were older at cohort entry by about 3 years and were less likely to have graduated from high school. Larger percentages reported having trouble dressing and reported a diagnosis of depression or Parkinson disease; their mean CASI score was a few points lower than for those who remained dementia free. Differences on race/ethnicity, RxRisk, and prior hospitalization were all due to the older age of the dementia group and were not significant after adjustment for age and sex.

Table Graphic Jump LocationTable 1. Baseline Characteristics of Cohorts Who Did and Did Not Develop Dementia in the Adult Changes in Thought Studya

The most frequent etiologic diagnoses in the dementia group were probable Alzheimer disease as a single cause (58%), vascular dementia alone (16%), and dementia of multiple etiologies (15%). Other etiologies included other medical (7%), substance-related (2%), and other/unknown (2%). The mean age at diagnosis was 84.3 (SD, 5.8) years, with 61% having diagnoses in their 80s. The mean CASI score at time of diagnosis (not time of enrollment) was 76 (SD, 10.7), consistent with mild dementia.

Follow-up totaled 24 795 person-years, including 1703 years of postdiagnosis follow-up among the 494 who developed dementia. Follow-up averaged 8 years (median, 7.8 years; interquartile range [IQR], 4.3-11.9 years) among those who never developed dementia and 9.6 years (median, 9.9 years; IQR, 6.6-12.0 years) among those who did (6.1 years before and 3.5 years after diagnosis, respectively, on average). Admissions totaled 5328. Among those who developed dementia, there were 689 admissions prior to diagnosis and 714 after dementia diagnosis. Of ACSC admissions for this group, 121 occurred before dementia diagnosis and 198 after. During follow-up, 427 individuals (86%) in the dementia group were hospitalized (96 once, 103 twice, and 228 ≥3 times) vs 1478 (59%) in the dementia-free group (548 once, 384 twice, and 546 ≥3 times). Forty percent (n = 196) of the dementia group had at least 1 ACSC admission (118 had 1, 46 had 2, and 32 had ≥3) compared with 17% (n = 424) of the dementia-free group (266 with 1, 99 with 2, and 59 with ≥3).

Rates of and Reasons for Hospitalization

Table 2 shows the all-cause rates of hospitalization and rates by major reasons for hospitalization, according to body system, by study group. The most common reasons for hospitalization, regardless of dementia status, were circulatory, respiratory, and digestive disorders. Among participants with dementia, the average annual admission rate was 419 admissions per 1000 persons, more than twice that of those without dementia, who averaged 200 admissions per 1000 persons each year (crude rate ratio, 2.10; 95% CI, 1.87-2.35; P < .001). After age/sex adjustment, the ratio of admission rates was 1.57 (95% CI, 1.39-1.78; P < .001) and was 1.41 (95% CI, 1.23-1.61; P < .001) after adjusting for additional covariates. This ratio changed very minimally with adjustment for residence in a nursing home prior to hospitalization (rate ratio, 1.39; 95% CI, 1.20-1.40; P < .001).

Table Graphic Jump LocationTable 2. Hospital Admission Rates per 1000 Person-Years for All Causes by Principal Discharge Diagnosis Category for Groups With and Without Dementia

In the fully adjusted model, admission rates for 5 types of disorders (circulatory, genitourinary, infectious, neurological, and respiratory) were significantly higher among participants with dementia compared with those without dementia. Rates for the “other” category were also significantly higher. In contrast, those with dementia had significantly lower admission rates for musculoskeletal disorders (Table 2).

Admissions considered potentially preventable with timely and appropriate ambulatory care (ACSCs) were analyzed separately (Table 3).2629 The crude admission rate for ACSCs was higher among those with dementia (116 vs 37 admissions/1000 person-years; crude rate ratio, 3.18; 95% CI, 2.59-3.90; P = .001). After full adjustment for covariates, the rate ratio was 1.78 (95% CI, 1.38-2.31; P < .001). Three ACSCs, bacterial pneumonia, CHF, and UTI, accounted for two-thirds of all potentially preventable admissions, and admission rates among those with dementia were significantly higher for all 3 conditions. Admission rates for dehydration and duodenal ulcer, though low overall, were also significantly higher among those with dementia. Admissions for ACSCs accounted for 28% of all hospitalizations among those with dementia vs only 19% of all admissions among those who remained dementia free.

Table Graphic Jump LocationTable 3. Hospital Admission Rates per 1000 Person-Years for ACSCs (Potentially Preventable) for Groups With and Without Dementia

Examining all-cause and ACSC admission rates by dementia etiology (Alzheimer disease alone vs other etiologies) compared with the group that remained dementia free (Table 4) revealed that dementia was associated with higher rates of admission regardless of etiology.

Table Graphic Jump LocationTable 4. Hospital Admission Rates per 1000 Person-Years for All Causes and ACSCs (Potentially Preventable) by Dementia Type vs Group Without Dementia
Relationship Between Death and Hospitalization

To better understand to what extent the higher mortality rate among persons with dementia might explain their higher hospitalization rates, multivariate analyses were repeated, excluding follow-up periods in which a person died. In these analyses, the association between dementia and admission rates remained significant and was attenuated for all-cause but not ACSC admissions (fully adjusted rate ratios, 1.21; 95% CI, 1.02-1.43; P = .03 for all-cause hospitalizations and 1.71; 95% CI, 1.24-2.34; P = .001 for ACSC hospitalizations).

We found significantly higher all-cause and ACSC admission rates for persons with dementia compared with those without dementia. Adjusted admission rates for most disease categories were significantly higher in the dementia group and also higher for all types of ACSCs, including bacterial pneumonia, CHF, dehydration, duodenal ulcer, and UTI. While higher mortality rates for persons with dementia accounted for about half of the difference in the all-cause admission rate, it accounted for very little of their higher rate of admissions for ACSCs.

Ours may be the first study to report rates of and reasons for hospitalization among persons from the time of an incident research-based dementia diagnosis and with follow-up of most individuals until death. Most prior studies have used claims diagnoses or registry data to construct dementia and control groups and a window of 1 year or less to establish hospitalization rates.17,9,42 Many studies could not adequately adjust for comorbidities. Because of the frequency of missed and delayed dementia diagnoses in usual clinical practice,43 claims and registry data from such studies of prevalent dementia are likely to identify hospitalizations predominantly during middle and later stages of cognitive decline. Studies relying on claims data to classify cases and controls are also susceptible to misclassification bias, which our study overcame with the research evaluation for dementia conducted biennially for all participants as part of the ACT follow-up protocol. The availability of prospectively collected ACT data along with GHC delivery system data allowed us to adjust for a number of potential confounders (age, sex, and measures of comorbidity) that have been found to be independent predictors for hospitalization among persons with Alzheimer-type dementia42 as well as for place of residence, increasing confidence that the effect on hospitalizations is specific for the presence of dementia.

Our findings extend the small literature on hospitalizations in dementia that, as a whole, has not looked systematically or comprehensively at hospital discharge diagnoses.17 Furthermore, by examining all forms of dementia developing within a population-based sample of community-dwelling elders, evaluated prospectively using research standards for diagnosis, our work extends prior studies that have examined only certain dementia diagnoses (eg, Alzheimer disease, vascular dementia)1,4,5,7 and often lack information about diagnostic reliability.

Why might dementia lead to more frequent hospitalization? The explanation is likely multifaceted. First, underlying conditions that increase the risk of dementia (eg, stroke) or that develop in the setting of dementia (eg, trouble swallowing, which increases the risk of pneumonia) may increase the risk of hospitalization. Second, because of its primary deleterious effects on global cognition, executive function, expressive language, symptom perception, and awareness of deficits, dementia impairs the ability to self-manage chronic conditions and to pinpoint symptoms and alert others to their presence, thereby creating substantial diagnostic and treatment challenges for primary care clinicians.44 Situational factors might also contribute, including a change of living situation, or the temporary or permanent absence of a caregiver familiar with the person's usual habits, behaviors, and ongoing general medical management. Another potential explanation is that the threshold for hospitalizing such persons may be lower because dementia increases central nervous system vulnerability to the metabolic effects of acute illness, such that for a comparable severity of illness, persons with dementia are in fact sicker (eg, more likely to develop delirium and functional impairments as a result of acute illness).45

Three ACSCs, pneumonia, CHF, and UTI, accounted for two-thirds of all potentially preventable admissions among persons with dementia. Knowledge of the ACSCs most likely to lead to hospitalization is important, as this information may help clinicians focus their differential diagnostic considerations and thereby permit proactive, early management for these conditions among patients with dementia. Early detection and outpatient management of acute illness when it is still in its early phases might minimize the need for hospitalization for these conditions and help health care organizations reduce their rates of ACSC admissions and associated costs.

The excess dementia-associated hospitalization rates in our study are somewhat lower than reported previously46 but still considerable from the standpoint of burdened health care systems. Our results may reflect methodological refinements over prior work, including earlier, more reliable dementia diagnosis and comprehensive adjustment for confounders, including time-varying covariates (eg, comorbidities) assessed regularly during follow-up along with nondementia factors known to be associated with ACSC hospitalizations (eg, advanced age, impaired activities of daily living).30 In addition, our longitudinal design more accurately represents the chronic, multiyear course of dementing diseases than do studies assessing admissions over 1 or 2 years. From a health systems planning perspective, our estimates of the risk of hospitalizations related to dementia can probably be considered a lower bound of risk.

Prior studies that have used claims diagnoses have found higher hospitalization rates for persons with other dementias compared with Alzheimer-type dementia.4 In contrast, in our study, rates were not significantly different across these groups for either all-cause or ACSC admissions. The explanation for this discrepant finding is uncertain but may result from differences in how dementia etiology was ascertained.

Our work has some limitations. The study included only consenting GHC enrollees; ACT participants may have been younger and healthier at enrollment than the general population, indicated by their willingness to participate. As an integrated health plan and health care delivery system, GHC takes a proactive approach to health care to manage risk, and existing programs seek to anticipate and manage complications of chronic diseases.47 Therefore, our observed rate of ACSC hospitalizations is likely to be lower than that in less-integrated, fee-for-service environments. In a study of ACSC hospitalizations in the Medicare+Choice (managed care) population,31 a somewhat higher unadjusted rate (47 ACSC admissions/1000) than ours (42 ACSC admissions/1000) was observed; although the distribution of ACSCs was similar, dementia status and impact were not evaluated. In this study, we were not able to determine how many of the individual ACSCs were actually preventable. Verification of preventability would have required chart review and adjudication of the preventability of each admission, activities that were beyond the scope of our study. Last, we did not examine discharge diagnoses according to other potentially relevant groupings (eg, medical vs surgical diagnoses, elective vs emergency admissions).

These limitations not withstanding, this study has several noteworthy strengths: incident research-based dementia diagnosis; follow-up of most participants until death; a large sample size; a control group from the same population-based, longitudinal cohort of community-dwelling elders as dementia cases; average follow-up of more than 8 years and a relatively long duration of follow-up (>3 years on average) after dementia diagnosis; complete capture of hospitalizations through GHC's automated data warehouse24; a comprehensive assessment of discharge diagnoses across the spectrum of diagnostic codes, which permits comparisons with other studies25; a complete spectrum of dementia types, rather than a single etiology; and high completeness of follow-up for the overall cohort, which minimizes misclassification bias.

In summary, our findings that persons with dementia have higher rates of hospitalizations for most categories of medical illness and for ACSCs suggest that there may be important opportunities for improving care of demented older persons, including developing better strategies for delivering anticipatory, proactive primary care to this population. The characteristic feature of late-life dementia—cognitive impairment in the face of multiple other comorbidities—presents a special challenge not currently addressed in models of chronic disease care.

Corresponding Author: Elizabeth A. Phelan, MD, MS, University of Washington, Medicine/Gerontology and Geriatric Medicine, 325 Ninth Ave, Box 359755, Seattle, WA 98104-2499 (phelane@uw.edu).

Author Contributions: Mr Grothaus had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Phelan, Borson, Grothaus.

Acquisition of data: Larson.

Analysis and interpretation of data: Phelan, Borson, Grothaus, Balch, Larson.

Drafting of the manuscript: Phelan.

Critical revision of the manuscript for important intellectual content: Borson, Grothaus, Balch, Larson.

Statistical analysis: Grothaus, Balch.

Obtained funding: Phelan, Larson.

Study supervision: Borson, Larson.

Conflict of Interest Disclosures: The authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported.

Funding/Support: This research was conducted while Dr Phelan was a K23 recipient from the National Institute on Aging (NIA) and a Paul Beeson Physician Faculty Scholars in Aging Research Award recipient. Dr Borson received support from the University of Washington Alzheimer's Disease Research Center (NIA grant P50 AG 005136). ACT is supported by NIA grant UO1 AG 06781 (principal investigator: Dr Larson).

Role of the Sponsors: The funding agencies had no role in the design or conduct of the study, in the collection, management, analysis, or interpretation of the data, or in the preparation, review, or approval of the manuscript.

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American Psychiatric Association.  Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Association; 1994
McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.  Neurology. 1984;34(7):939-944
PubMed   |  Link to Article
Breslow NE. Statistics in epidemiology: the case-control study.  J Am Stat Assoc. 1996;91(433):14-28
PubMed   |  Link to Article
Breslow NE, Lubin JH, Marek P, Langholz B. Multiplicative models and cohort analysis.  J Am Stat Assoc. 1983;78(381):1-12
Link to Article
Saunders KW, Davis RL, Stergachis A. Group Health Cooperative. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Hoboken, NJ: John Wiley & Sons; 2005:223-240
Russo CA, Elixhauser A. Hospitalizations in the Elderly Population, 2003. May 2006. Statistical brief 6. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb6.pdf. Accessed July 21, 2006
Bindman AB, Grumbach K, Osmond D,  et al.  Preventable hospitalizations and access to health care.  JAMA. 1995;274(4):305-311
PubMed   |  Link to Article
Oster A, Bindman AB. Emergency department visits for ambulatory care sensitive conditions: insights into preventable hospitalizations.  Med Care. 2003;41(2):198-207
PubMed
Zhan C, Miller MR, Wong H, Meyer GS. The effects of HMO penetration on preventable hospitalizations.  Health Serv Res. 2004;39(2):345-361
PubMed   |  Link to Article
Saha S, Solotaroff R, Oster A, Bindman AB. Are preventable hospitalizations sensitive to changes in access to primary care? the case of the Oregon Health Plan.  Med Care. 2007;45(8):712-719
PubMed   |  Link to Article
Culler SD, Parchman ML, Przybylski M. Factors related to potentially preventable hospitalizations among the elderly.  Med Care. 1998;36(6):804-817
PubMed   |  Link to Article
McCall N, Harlow J, Dayhoff D. Rates of hospitalization for ambulatory care sensitive conditions in the Medicare+Choice population.  Health Care Financ Rev. 2001;22(3):127-145
Billings J, Zeitel L, Lukomnik J, Carey TS, Blank AE, Newman L. Impact of socioeconomic status on hospital use in New York City.  Health Aff (Millwood). 1993;12(1):162-173
PubMed   |  Link to Article
Weissman JS, Gatsonis C, Epstein AM. Rates of avoidable hospitalization by insurance status in Massachusetts and Maryland.  JAMA. 1992;268(17):2388-2394
PubMed   |  Link to Article
Kruzikas DT, Jiang HJ, Remus D, Barrett ML, Coffey RM, Andrews R. Preventable Hospitalizations: A Window into Primary and Preventive Care, 2000HCUP Fact Book 5. http://archive.ahrq.gov/data/hcup/factbk5/. Accessed January 28, 2011
Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale).  Am J Prev Med. 1994;10(2):77-84
PubMed
Fishman PA, Goodman MJ, Hornbrook MC, Meenan RT, Bachman DJ, O’Keeffe Rosetti MC. Risk adjustment using automated ambulatory pharmacy data: the RxRisk model.  Med Care. 2003;41(1):84-99
PubMed   |  Link to Article
Clark DO, Von Korff M, Saunders K, Baluch WM, Simon GE. A chronic disease score with empirically derived weights.  Med Care. 1995;33(8):783-795
PubMed   |  Link to Article
US Food and Drug Administration.  National Drug Code directory. http://www.fda.gov/cder/ndc. Accessed November 26, 2011
Teng EL, Hasegawa K, Homma A,  et al.  The Cognitive Abilities Screening Instrument (CASI): a practical test for cross-cultural epidemiological studies of dementia.  Int Psychogeriatr. 1994;6(1):45-58
PubMed   |  Link to Article
Hilbe J. Negative Binomial Regression. New York, NY: Cambridge University Press; 2007
Davison AC. Statistical Models. New York, NY: Cambridge University Press; 2003
Rudolph JL, Zanin NM, Jones RN,  et al.  Hospitalization in community-dwelling persons with Alzheimer's disease: frequency and causes.  J Am Geriatr Soc. 2010;58(8):1542-1548
PubMed   |  Link to Article
Bradford A, Kunik ME, Schulz P, Williams SP, Singh H. Missed and delayed diagnosis of dementia in primary care: prevalence and contributing factors.  Alzheimer Dis Assoc Disord. 2009;23(4):306-314
PubMed   |  Link to Article
Harris DP, Chodosh J, Vassar SD, Vickrey BG, Shapiro MF. Primary care providers' views of challenges and rewards of dementia care relative to other conditions.  J Am Geriatr Soc. 2009;57(12):2209-2216
PubMed   |  Link to Article
Inouye SK, Bogardus ST Jr, Charpentier PA,  et al.  A multicomponent intervention to prevent delirium in hospitalized older patients.  N Engl J Med. 1999;340(9):669-676
PubMed   |  Link to Article
Taylor DH Jr, Sloan FA, Doraiswamy PM. Marked increase in Alzheimer's disease identified in Medicare claims records between 1991 and 1999.  J Gerontol A Biol Sci Med Sci. 2004;59(7):762-766
PubMed   |  Link to Article
Wagner EH. Population-based management of diabetes care.  Patient Educ Couns. 1995;26(1-3):225-230
PubMed   |  Link to Article

Figures

Place holder to copy figure label and caption
Figure. Participant Flow and Vital Status at End of Follow-up
Graphic Jump Location

aNo follow-up visit during study period due to either not being due for follow-up or not presenting for follow-up visit when invited.
bEligibility criteria included (1) enrolled in ACT between 1993 and 2005; (2) free of dementia at time of ACT enrollment; (3) completed baseline assessment as part of ACT; and (4) had at least 1 follow-up visit with ACT to assess dementia status while still enrolled in health plan.

Tables

Table Graphic Jump LocationTable 1. Baseline Characteristics of Cohorts Who Did and Did Not Develop Dementia in the Adult Changes in Thought Studya
Table Graphic Jump LocationTable 2. Hospital Admission Rates per 1000 Person-Years for All Causes by Principal Discharge Diagnosis Category for Groups With and Without Dementia
Table Graphic Jump LocationTable 3. Hospital Admission Rates per 1000 Person-Years for ACSCs (Potentially Preventable) for Groups With and Without Dementia
Table Graphic Jump LocationTable 4. Hospital Admission Rates per 1000 Person-Years for All Causes and ACSCs (Potentially Preventable) by Dementia Type vs Group Without Dementia

References

Albert SM, Costa R, Merchant C, Small S, Jenders RA, Stern Y. Hospitalization and Alzheimer's disease: results from a community-based study.  J Gerontol A Biol Sci Med Sci. 1999;54(5):M267-M271
PubMed   |  Link to Article
Lyketsos CG, Sheppard JM, Rabins PV. Dementia in elderly persons in a general hospital.  Am J Psychiatry. 2000;157(5):704-707
PubMed   |  Link to Article
Bynum JP, Rabins PV, Weller W, Niefeld M, Anderson GF, Wu AW. The relationship between a dementia diagnosis, chronic illness, Medicare expenditures, and hospital use.  J Am Geriatr Soc. 2004;52(2):187-194
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Zhao Y, Kuo TC, Weir S, Kramer MS, Ash AS. Healthcare costs and utilization for Medicare beneficiaries with Alzheimer’s.  BMC Health Serv Res. 2008;8:108
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Natalwala A, Potluri R, Uppal H, Heun R. Reasons for hospital admissions in dementia patients in Birmingham, UK, during 2002-2007.  Dement Geriatr Cogn Disord. 2008;26(6):499-505
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Gutterman EM, Markowitz JS, Lewis B, Fillit H. Cost of Alzheimer's disease and related dementia in managed-Medicare.  J Am Geriatr Soc. 1999;47(9):1065-1071
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Tuppin P, Kusnik-Joinville O, Weill A, Ricordeau P, Allemand H. Primary health care use and reasons for hospital admissions in dementia patients in France: database study for 2007.  Dement Geriatr Cogn Disord. 2009;28(3):225-232
PubMed   |  Link to Article
Ehlenbach WJ, Hough CL, Crane PK,  et al.  Association between acute care and critical illness hospitalization and cognitive function in older adults.  JAMA. 2010;303(8):763-770
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Lefevre F, Feinglass J, Potts S,  et al.  Iatrogenic complications in high-risk, elderly patients.  Arch Intern Med. 1992;152(10):2074-2080
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Larson EB, Kukull WA, Teri L,  et al.  University of Washington Alzheimer's Disease Patient Registry (ADPR): 1987-1988.  Aging (Milano). 1990;2(4):404-408
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Kukull WA, Higdon R, Bowen JD,  et al.  Dementia and Alzheimer disease incidence: a prospective cohort study.  Arch Neurol. 2002;59(11):1737-1746
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Clark TG, Altman DG, De Stavola BL. Quantification of the completeness of follow-up.  Lancet. 2002;359(9314):1309-1310
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Larson EB, Wang L, Bowen JD,  et al.  Exercise is associated with reduced risk for incident dementia among persons 65 years of age and older.  Ann Intern Med. 2006;144(2):73-81
PubMed   |  Link to Article
Breitner JC, Haneuse SJ, Walker R,  et al.  Risk of dementia and AD with prior exposure to NSAIDs in an elderly community-based cohort.  Neurology. 2009;72(22):1899-1905
PubMed   |  Link to Article
Jorm AF, Korten AE. Assessment of cognitive decline in the elderly by informant interview.  Br J Psychiatry. 1988;152(2):209-213
PubMed   |  Link to Article
American Psychiatric Association.  Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Association; 1994
McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.  Neurology. 1984;34(7):939-944
PubMed   |  Link to Article
Breslow NE. Statistics in epidemiology: the case-control study.  J Am Stat Assoc. 1996;91(433):14-28
PubMed   |  Link to Article
Breslow NE, Lubin JH, Marek P, Langholz B. Multiplicative models and cohort analysis.  J Am Stat Assoc. 1983;78(381):1-12
Link to Article
Saunders KW, Davis RL, Stergachis A. Group Health Cooperative. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Hoboken, NJ: John Wiley & Sons; 2005:223-240
Russo CA, Elixhauser A. Hospitalizations in the Elderly Population, 2003. May 2006. Statistical brief 6. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb6.pdf. Accessed July 21, 2006
Bindman AB, Grumbach K, Osmond D,  et al.  Preventable hospitalizations and access to health care.  JAMA. 1995;274(4):305-311
PubMed   |  Link to Article
Oster A, Bindman AB. Emergency department visits for ambulatory care sensitive conditions: insights into preventable hospitalizations.  Med Care. 2003;41(2):198-207
PubMed
Zhan C, Miller MR, Wong H, Meyer GS. The effects of HMO penetration on preventable hospitalizations.  Health Serv Res. 2004;39(2):345-361
PubMed   |  Link to Article
Saha S, Solotaroff R, Oster A, Bindman AB. Are preventable hospitalizations sensitive to changes in access to primary care? the case of the Oregon Health Plan.  Med Care. 2007;45(8):712-719
PubMed   |  Link to Article
Culler SD, Parchman ML, Przybylski M. Factors related to potentially preventable hospitalizations among the elderly.  Med Care. 1998;36(6):804-817
PubMed   |  Link to Article
McCall N, Harlow J, Dayhoff D. Rates of hospitalization for ambulatory care sensitive conditions in the Medicare+Choice population.  Health Care Financ Rev. 2001;22(3):127-145
Billings J, Zeitel L, Lukomnik J, Carey TS, Blank AE, Newman L. Impact of socioeconomic status on hospital use in New York City.  Health Aff (Millwood). 1993;12(1):162-173
PubMed   |  Link to Article
Weissman JS, Gatsonis C, Epstein AM. Rates of avoidable hospitalization by insurance status in Massachusetts and Maryland.  JAMA. 1992;268(17):2388-2394
PubMed   |  Link to Article
Kruzikas DT, Jiang HJ, Remus D, Barrett ML, Coffey RM, Andrews R. Preventable Hospitalizations: A Window into Primary and Preventive Care, 2000HCUP Fact Book 5. http://archive.ahrq.gov/data/hcup/factbk5/. Accessed January 28, 2011
Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale).  Am J Prev Med. 1994;10(2):77-84
PubMed
Fishman PA, Goodman MJ, Hornbrook MC, Meenan RT, Bachman DJ, O’Keeffe Rosetti MC. Risk adjustment using automated ambulatory pharmacy data: the RxRisk model.  Med Care. 2003;41(1):84-99
PubMed   |  Link to Article
Clark DO, Von Korff M, Saunders K, Baluch WM, Simon GE. A chronic disease score with empirically derived weights.  Med Care. 1995;33(8):783-795
PubMed   |  Link to Article
US Food and Drug Administration.  National Drug Code directory. http://www.fda.gov/cder/ndc. Accessed November 26, 2011
Teng EL, Hasegawa K, Homma A,  et al.  The Cognitive Abilities Screening Instrument (CASI): a practical test for cross-cultural epidemiological studies of dementia.  Int Psychogeriatr. 1994;6(1):45-58
PubMed   |  Link to Article
Hilbe J. Negative Binomial Regression. New York, NY: Cambridge University Press; 2007
Davison AC. Statistical Models. New York, NY: Cambridge University Press; 2003
Rudolph JL, Zanin NM, Jones RN,  et al.  Hospitalization in community-dwelling persons with Alzheimer's disease: frequency and causes.  J Am Geriatr Soc. 2010;58(8):1542-1548
PubMed   |  Link to Article
Bradford A, Kunik ME, Schulz P, Williams SP, Singh H. Missed and delayed diagnosis of dementia in primary care: prevalence and contributing factors.  Alzheimer Dis Assoc Disord. 2009;23(4):306-314
PubMed   |  Link to Article
Harris DP, Chodosh J, Vassar SD, Vickrey BG, Shapiro MF. Primary care providers' views of challenges and rewards of dementia care relative to other conditions.  J Am Geriatr Soc. 2009;57(12):2209-2216
PubMed   |  Link to Article
Inouye SK, Bogardus ST Jr, Charpentier PA,  et al.  A multicomponent intervention to prevent delirium in hospitalized older patients.  N Engl J Med. 1999;340(9):669-676
PubMed   |  Link to Article
Taylor DH Jr, Sloan FA, Doraiswamy PM. Marked increase in Alzheimer's disease identified in Medicare claims records between 1991 and 1999.  J Gerontol A Biol Sci Med Sci. 2004;59(7):762-766
PubMed   |  Link to Article
Wagner EH. Population-based management of diabetes care.  Patient Educ Couns. 1995;26(1-3):225-230
PubMed   |  Link to Article

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