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Engstrom T, Lobo EH, Watego K, Nelson C, Wang J, Wong H, Kim SL, Oh SI, Lawley M, Gorse AD, Ward J, Sullivan C. Indigenous data governance approaches applied in research using routinely collected health data: a scoping review. NPJ Digit Med 2024; 7:68. [PMID: 38491156 PMCID: PMC10943072 DOI: 10.1038/s41746-024-01070-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 02/29/2024] [Indexed: 03/18/2024] Open
Abstract
Globally, there is a growing acknowledgment of Indigenous Peoples' rights to control data related to their communities. This is seen in the development of Indigenous Data Governance standards. As health data collection increases, it's crucial to apply these standards in research involving Indigenous communities. Our study, therefore, aims to systematically review research using routinely collected health data of Indigenous Peoples, understanding the Indigenous Data Governance approaches and the associated advantages and challenges. We searched electronic databases for studies from 2013 to 2022, resulting in 85 selected articles. Of these, 65 (77%) involved Indigenous Peoples in the research, and 60 (71%) were authored by Indigenous individuals or organisations. While most studies (93%) provided ethical approval details, only 18 (21%) described Indigenous guiding principles, 35 (41%) reported on data sovereignty, and 28 (33%) addressed consent. This highlights the increasing focus on Indigenous Data Governance in utilising health data. Leveraging existing data sources in line with Indigenous data governance principles is vital for better understanding Indigenous health outcomes.
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Affiliation(s)
- Teyl Engstrom
- Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia.
| | - Elton H Lobo
- Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia.
| | - Kristie Watego
- Institute for Urban Indigenous Health, Windsor, QLD, Australia
| | - Carmel Nelson
- Institute for Urban Indigenous Health, Windsor, QLD, Australia
| | - Jinxiang Wang
- Poche Centre for Indigenous Health, The University of Queensland, Herston, QLD, Australia
| | - Howard Wong
- Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia
| | - Sungkyung Linda Kim
- Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia
| | - Soo In Oh
- Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia
| | | | | | - James Ward
- Poche Centre for Indigenous Health, The University of Queensland, Herston, QLD, Australia
| | - Clair Sullivan
- Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia
- Royal Brisbane and Women's Hospital, Herston, QLD, Australia
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Amano T, Halvorsen CJ, Kim S, Reynolds A, Scher C, Jia Y. An outcome-wide analysis of the effects of diagnostic labeling of Alzheimer's disease and related dementias on social relationships. Alzheimers Dement 2024; 20:1614-1626. [PMID: 38053452 PMCID: PMC10984499 DOI: 10.1002/alz.13574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 09/01/2023] [Accepted: 11/13/2023] [Indexed: 12/07/2023]
Abstract
INTRODUCTION This study examines how receiving a dementia diagnosis influences social relationships by race and ethnicity. METHODS Using data from the Health and Retirement Study (10 waves; 7,159 observations) of adults 70 years and older predicted to have dementia using Gianattasio-Power scores (91% accuracy), this study assessed changes in social support, engagement, and networks after a dementia diagnosis. We utilized quasi-experimental methods to estimate treatment effects and subgroup analyses by race/ethnicity. RESULTS A diagnostic label significantly increased the likelihood of gaining social support but reduced social engagement and one measure of social networks. With some exceptions, the results were similar by race and ethnicity. DISCUSSION Results suggest that among older adults with assumed dementia, being diagnosed by a doctor may influence social relationships in both support-seeking and socially withdrawn ways. This suggests that discussing services and supports at the time of diagnosis is important for healthcare professionals.
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Affiliation(s)
- Takashi Amano
- Department of Social WorkSchool of Arts and SciencesRutgers University NewarkNewarkUSA
| | | | - Seoyoun Kim
- Department of SociologyTexas State UniversitySan MarcosUSA
| | - Addam Reynolds
- Leonard Davis School of GerontologyUniversity of Southern CaliforniaLos AngelesUSA
| | - Clara Scher
- School of Social WorkRutgers UniversityNew BrunswickUSA
| | - Yuane Jia
- Department of Interdisciplinary StudiesSchool of Health ProfessionsRutgers Biomedical and Health SciencesNewarkUSA
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Couret A, Lapeyre-Mestre M, Gombault-Datzenko E, Renoux A, Villars H, Gardette V. Which factors preceding dementia identification impact future healthcare use trajectories: multilevel analyses in administrative data. BMC Geriatr 2024; 24:89. [PMID: 38263052 PMCID: PMC10807194 DOI: 10.1186/s12877-023-04643-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 12/27/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Healthcare use patterns preceding a diagnosis of Alzheimer's Disease and Related Diseases (ADRD) may be associated with the quality of healthcare use trajectories (HUTs) after diagnosis. We aimed to identify determinants of future favorable HUTs, notably healthcare use preceding ADRD identification. METHODS This nationwide retrospective observational study was conducted on subjects with incident ADRD identified in 2012 in the French health insurance database. We studied the 12-month healthcare use ranging between 18 and 6 months preceding ADRD identification. The five-year HUTs after ADRD identification were qualified by experts as favorable or not. In order to take into account geographical differences in healthcare supply, we performed mixed random effects multilevel multivariable logistic regression model to identify determinants of future favorable HUTs. Analyses were stratified by age group (65-74, 75-84, ≥ 85). RESULTS Being a woman, and preventive and specialist care preceding ADRD identification increased the probability of future favorable HUT, whereas institutionalization, comorbidities, medical transportation and no reimbursed drug during [-18;-6] months decreased it. Besides, some specificities appeared according to age groups. Among the 65-74 years subjects, anxiolytic dispensing preceding ADRD identification decreased the probability of future favorable HUT. In the 75-84 years group, unplanned hospitalization and emergency room visit preceding ADRD identification decreased this probability. Among subjects aged 85 and older, short hospitalization preceding ADRD identification increased the probability of future favorable HUTs. CONCLUSION Regular healthcare use with preventive and specialist care preceding ADRD identification increased the probability of future favorable HUTs whereas dependency decreased it.
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Affiliation(s)
- Anaïs Couret
- Agence Régionale de Santé Occitanie, Toulouse, France.
- Maintain Aging Research team, CERPOP, Université de Toulouse, Université Paul Sabatier, Inserm, Toulouse, France.
- Faculté de médecine, 37 allées Jules Guesde, Toulouse, 31000, France.
| | - Maryse Lapeyre-Mestre
- Department of Pharmacology, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
- Centre d'Investigation Clinique 1436, Team PEPSS "Pharmacologie En Population cohorteS et biobanqueS", Centre Hospitalier Universitaire de Toulouse, Université Paul Sabatier, Inserm, Toulouse, France
| | - Eugénie Gombault-Datzenko
- Department of Medical Information (DIM), Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Axel Renoux
- Maintain Aging Research team, CERPOP, Université de Toulouse, Université Paul Sabatier, Inserm, Toulouse, France
- Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Hélène Villars
- Geriatric Department, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Virginie Gardette
- Maintain Aging Research team, CERPOP, Université de Toulouse, Université Paul Sabatier, Inserm, Toulouse, France
- Department of Epidemiology and Public Health, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
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Sehar U, Kopel J, Reddy PH. Alzheimer's disease and its related dementias in US Native Americans: A major public health concern. Ageing Res Rev 2023; 90:102027. [PMID: 37544432 PMCID: PMC10515314 DOI: 10.1016/j.arr.2023.102027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/25/2023] [Accepted: 08/03/2023] [Indexed: 08/08/2023]
Abstract
Alzheimer's disease (AD) and Alzheimer's related dementias (ADRD) are growing public health concerns in aged populations of all ethnic and racial groups. AD and ADRD are caused by multiple factors, such as genetic mutations, modifiable and non-modifiable risk factors, and lifestyle. Studies of postmortem brains have revealed multiple cellular changes implicated in AD and ADRD, including the accumulation of amyloid beta and phosphorylated tau, synaptic damage, inflammatory responses, hormonal imbalance, mitochondrial abnormalities, and neuronal loss. These changes occur in both early-onset familial and late-onset sporadic forms. Two-thirds of women and one-third of men are at life time risk for AD. A small proportion of total AD cases are caused by genetic mutations in amyloid precursor protein, presenilin 1, and presenilin 1 genes, and the APOE4 allele is a risk factor. Tremendous research on AD/ADRD, and other comorbidities such as diabetes, obesity, hypertension, and cancer has been done on almost all ethnic groups, however, very little biomedical research done on US Native Americans. AD/ADRD prevalence is high among all ethnic groups. In addition, US Native Americans have poorer access to healthcare and medical services and are less likely to receive a diagnosis once they begin to exhibit symptoms, which presents difficulties in treating Alzheimer's and other dementias. One in five US Native American people who are 45 years of age or older report having memory issues. Further, the impact of caregivers and other healthcare aspects on US Native Americans is not yet. In the current article, we discuss the history of Native Americans of United States (US) and health disparities, occurrence, and prevalence of AD/ADRD, and shedding light on the culturally sensitive caregiving practices in US Native Americans. This article is the first to discuss biomedical research and healthcare disparities in US Native Americans with a focus on AD and ADRD, we also discuss why US Native Americans are reluctant to participate in biomedical research.
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Affiliation(s)
- Ujala Sehar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Jonathan Kopel
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - P Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Nutritional Sciences Department, College of Human Sciences, Texas Tech University, 1301 Akron Ave, Lubbock, TX 79409, USA; Neurology, Departments of School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Public Health Department of Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Speech, Language and Hearing Sciences, School Health Professions, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
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Johnson AL, Seep E, Norton DL, Mundt MP, Wyman MF, James TT, Zuelsdorff M, Lambrou NH, McLester-Davis LWY, Umucu E, Gleason CE. Wisconsin Healthcare Utilization Cost Among American Indians/Alaska Natives with and without Alzheimer's Disease and Related Dementias. J Alzheimers Dis 2023; 91:183-189. [PMID: 36373315 PMCID: PMC10150375 DOI: 10.3233/jad-220393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Individuals with Alzheimer's disease and related dementias (ADRD) accrue higher healthcare utilization costs than peers without ADRD, but incremental costs of ADRD among American Indians/Alaska Natives (AI/AN) is unknown. State-wide paid electronic health record data were retrospectively analyzed using percentile-based bootstrapped 95% confidence intervals of the weighted mean difference of total 5-year billed costs to compare total accrued for non-Tribal and Indian Health Service utilization costs among Medicaid and state program eligible AI/AN, ≥40 years, based on the presence/absence of ADRD (matching by demographic and medical factors). AI/AN individuals with ADRD accrued double the costs compared to those without ADRD, costing an additional $880.45 million to $1.91 billion/year.
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Affiliation(s)
- Adrienne L. Johnson
- University of Wisconsin School of Medicine & Public Health, Center for Tobacco Research and Intervention, Madison, WI, USA
| | - Elaina Seep
- Aniwahya Consulting Services, Sun Prairie, WI, USA
| | - Derek L. Norton
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA
| | - Marlon P. Mundt
- University of Wisconsin School of Medicine & Public Health, Center for Tobacco Research and Intervention, Madison, WI, USA
- University of Wisconsin School of Medicine and Public Health, Department of Family Medicine and Community Health, Madison, WI, USA
| | - Mary F. Wyman
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Taryn T. James
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Megan Zuelsdorff
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- University of Wisconsin-Madison School of Nursing, Madison, WI, USA
| | - Nickolas H. Lambrou
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- University of Wisconsin, Division of Geriatrics, Madison, WI, USA
| | | | | | - Carey E. Gleason
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
- University of Wisconsin, Division of Geriatrics, Madison, WI, USA
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Couret A, Lapeyre-Mestre M, Gombault-Datzenko E, Renoux A, Villars H, Gardette V. Healthcare use patterns before Alzheimer's disease and related diseases identification and future healthcare trajectory. Int J Geriatr Psychiatry 2023; 38:e5849. [PMID: 36457190 DOI: 10.1002/gps.5849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 11/18/2022] [Indexed: 11/23/2022]
Abstract
OBJECTIVES A frequent late Alzheimer's Disease and Related Diseases (ADRD) identification is described and may induce erratic health resource use. We aimed to describe healthcare use patterns preceding ADRD identification. METHODS We studied persons aged 65 or older, identified with incident ADRD in 2012 in the French health insurance database. Healthcare use covering a wide range of care in ambulatory and hospital settings during the period ranging from 18 to six months before ADRD identification was studied. The main dimensions of healthcare use patterns before ADRD identification were investigated in three age groups (65-74, 75-84, ≥85) through a multiple correspondence analysis. These dimensions were secondarily interpreted according to the 5-year healthcare trajectory following ADRD identification, qualified as favorable (or not) by experts in the field. RESULTS This research studied 36,990 subjects. Four dimensions raised in each age group. Two dimensions' interpretations were retrieved in all age groups: intensity of healthcare use, functional dependency. However, their rank differed along with the qualification of the future healthcare trajectory. Some specificities appeared in some age group. In the 65-74 and 75-84 years groups, there were dimensions reflecting healthcare use related to psychiatric or psycho-behavioral disorders. In the ≥85 group, two dimensions reflected dependency related to other comorbidities, and organised medical follow-up. CONCLUSION Several dimensions emerged in line with erratic trajectories before ADRD identification. They underlined the need for actions towards ADRD identification.
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Affiliation(s)
- Anaïs Couret
- Agence Régionale de Santé Occitanie, Toulouse, France.,Maintain Aging Research Team, CERPOP, Université de Toulouse, Inserm, Université Paul Sabatier, Toulouse, France
| | - Maryse Lapeyre-Mestre
- Department of Pharmacology, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Centre D'Investigation Clinique 1436, Team PEPSS "Pharmacologie En Population CohorteS et BiobanqueS", Centre Hospitalier Universitaire de Toulouse, Inserm, Université Paul Sabatier, Toulouse, France
| | - Eugénie Gombault-Datzenko
- Department of Medical Information (DIM), Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Axel Renoux
- Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Hélène Villars
- Maintain Aging Research Team, CERPOP, Université de Toulouse, Inserm, Université Paul Sabatier, Toulouse, France.,Geriatric Department, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Virginie Gardette
- Maintain Aging Research Team, CERPOP, Université de Toulouse, Inserm, Université Paul Sabatier, Toulouse, France.,Department of Epidemiology and Public Health, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
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O'Connell J, Grau L, Goins T, Perraillon M, Winchester B, Corrada M, Manson SM, Jiang L. The costs of treating all-cause dementia among American Indians and Alaska native adults who access services through the Indian Health Service and Tribal health programs. Alzheimers Dement 2022; 18:2055-2066. [PMID: 35176207 PMCID: PMC10440154 DOI: 10.1002/alz.12603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Little is known about treatment costs for American Indian and Alaska Native (AI/AN) adults with dementia who access services through the Indian Health Service (IHS) and Tribal health programs. METHODS We analyzed fiscal year 2013 IHS/Tribal treatment costs for AI/ANs aged 65+ years with dementia and a matched sample without dementia (n = 1842) to report actual and adjusted total treatment costs and costs by service type. Adjusted costs were estimated using multivariable regressions. RESULTS Mean total treatment cost for adults with dementia were $13,027, $5400 higher than for adults without dementia ($7627). The difference in adjusted total treatment costs was $2943 (95% confidence interval [CI]: $1505, $4381), the majority of which was due to the difference in hospital inpatient costs ($2902; 95% CI: $1512, $4293). DISCUSSION Knowing treatment costs for AI/ANs with dementia can guide enhancements to policies and services for treating dementia and effectively using health resources.
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Affiliation(s)
- Joan O'Connell
- University of Colorado, Colorado School of Public Health, Centers for American Indian and Alaska Native Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Laura Grau
- University of Colorado, Colorado School of Public Health, Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Turner Goins
- College of Health and Human Sciences, Western Carolina University, Cullowhee, North Carolina, USA
| | - Marcelo Perraillon
- University of Colorado, Colorado School of Public Health, Department of Health Systems, Management, and Policy, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Blythe Winchester
- Eastern Band of Cherokee Indians, Cherokee Indian Hospital; Indian Health Service, Chief Clinical Consultant, Geriatrics and Palliative Care, Cherokee Indian Hospital, Cherokee, North Carolina, USA
| | - Maria Corrada
- University of California Irvine, College of Health Sciences, Department of Epidemiology and Biostatistics, Irvine, California, USA
| | - Spero M Manson
- University of Colorado, Colorado School of Public Health, Centers for American Indian and Alaska Native Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Luohua Jiang
- University of California Irvine, College of Health Sciences, Department of Epidemiology and Biostatistics, Irvine, California, USA
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Shaw JL, Beans JA, Noonan C, Smith JJ, Mosley M, Lillie KM, Avey JP, Ziebell R, Simon G. Validating a predictive algorithm for suicide risk with Alaska Native populations. Suicide Life Threat Behav 2022; 52:696-704. [PMID: 35293010 PMCID: PMC9378560 DOI: 10.1111/sltb.12853] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 12/09/2021] [Accepted: 01/11/2022] [Indexed: 11/29/2022]
Abstract
INTRODUCTION The American Indian/Alaska Native (AI/AN) suicide rate in Alaska is twice the state rate and four times the U.S. rate. Healthcare systems need innovative methods of suicide risk detection. The Mental Health Research Network (MHRN) developed suicide risk prediction algorithms in a general U.S. PATIENT POPULATION METHODS We applied MHRN predictors and regression coefficients to electronic health records of AI/AN patients aged ≥13 years with behavioral health diagnoses and primary care visits between October 1, 2016, and March 30, 2018. Logistic regression assessed model accuracy for predicting and stratifying risk for suicide attempt within 90 days after a visit. We compared expected to observed risk and assessed model performance characteristics. RESULTS 10,864 patients made 47,413 primary care visits. Suicide attempt occurred after 589 (1.2%) visits. Visits in the top 5% of predicted risk accounted for 40% of actual attempts. Among visits in the top 0.5% of predicted risk, 25.1% were followed by suicide attempt. The best fitting model had an AUC of 0.826 (95% CI: 0.809-0.843). CONCLUSIONS The MHRN model accurately predicted suicide attempts among AI/AN patients. Future work should develop clinical and operational guidance for effective implementation of the model with this population.
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Affiliation(s)
- Jennifer L Shaw
- Division of Organizational Development and Innovation, Research and Data Services Department, Southcentral Foundation, Anchorage, Alaska, USA
| | - Julie A Beans
- Division of Organizational Development and Innovation, Research and Data Services Department, Southcentral Foundation, Anchorage, Alaska, USA
| | - Carolyn Noonan
- Institute for Research and Education to Advance Community Health, Washington State University, Seattle, Washington, USA
| | - Julia J Smith
- Division of Organizational Development and Innovation, Research and Data Services Department, Southcentral Foundation, Anchorage, Alaska, USA
| | - Mike Mosley
- Division of Organizational Development and Innovation, Research and Data Services Department, Southcentral Foundation, Anchorage, Alaska, USA
| | - Kate M Lillie
- Division of Organizational Development and Innovation, Research and Data Services Department, Southcentral Foundation, Anchorage, Alaska, USA
| | - Jaedon P Avey
- Division of Organizational Development and Innovation, Research and Data Services Department, Southcentral Foundation, Anchorage, Alaska, USA
| | - Rebecca Ziebell
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Gregory Simon
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
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Avey JP, Schaefer KR, Noonan CJ, Muller CJ, Mosley M, Galvin JE. Patterns of Healthcare Use and Mortality After Alzheimer's Disease or Related Dementia Diagnosis Among Alaska Native Patients: Results of a Cluster Analysis in a Tribal Healthcare Setting. J Alzheimers Dis Rep 2022; 6:401-410. [PMID: 36072365 PMCID: PMC9397889 DOI: 10.3233/adr-210062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 06/17/2022] [Indexed: 11/15/2022] Open
Abstract
Background Alaska Native and American Indian (AN/AI) people represent a rapidly aging population with disproportionate burdens of Alzheimer's disease and related dementias (ADRD) risk factors. Objective To characterize healthcare service use patterns and mortality in the years following ADRD diagnosis for patients in an Alaska Native Tribal health system. Methods The study sample included all AN/AI patients aged 55 or older with an ADRD diagnosis who were seen between 2012-2018 (n = 407). We used cluster analysis to identify distinct patterns of healthcare use for primary care, emergency and urgent care, inpatient hospital stays, and selected specialty care. We compared demographic and clinical factors between clusters and used regression to compare mortality. Results We identified five clusters of healthcare service use patterns after ADRD diagnosis: 1) people who use a low amount of all services (n = 107), 2) people who use a high amount of all services (n = 60), 3) people who use a high amount of primary and specialty care (n = 105), 4) people who use a high amount of specialty care (n = 65), and 5) people who use a high amount of emergency and urgent care (n = 70). The cluster with the highest use had the greatest proportion of comorbidities and had a 2.3-fold increased risk of mortality compared to the cluster with the lowest healthcare service use. Conclusion Results indicate that those receiving the most services had the greatest healthcare-related needs and increased mortality. Future research could isolate factors that predict service use following ADRD diagnosis and identify other differential health risks.
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Affiliation(s)
| | | | - Carolyn J. Noonan
- Institute for Research and Education to Advance Community Health, Washington State University, Spokane, WA, USA
| | - Clemma J. Muller
- Institute for Research and Education to Advance Community Health, Washington State University, Spokane, WA, USA
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | | | - James E. Galvin
- Comprehensive Center for Brain Health, Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
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Adamsen C, Manson SM, Jiang L. The Association of Cultural Participation and Social Engagement With Self-Reported Diagnosis of Memory Problems Among American Indian and Alaska Native Elders. J Aging Health 2021; 33:60S-67S. [PMID: 34167346 PMCID: PMC9135353 DOI: 10.1177/08982643211014971] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Objective: This study examines the association of cultural participation and social engagement with self-reported diagnosis of memory problems among older American Indians and Alaska Natives (AI/ANs). Method: We conducted a cross-sectional study of 14,827 AI/ANs using data from the 2014-2017 cycle of the Identifying Our Needs: A Survey of Elders (ION). Logistic regression was used to examine the association of cultural participation and social engagement with self-reported diagnosis of memory problems. Results: Compared to older AI/ANs who reported high cultural participation and/or high social engagement, those characterized by low cultural participation and/or low social engagement exhibited significantly higher odds of a self-reported diagnosis of memory problems (OR = 1.863, 95% CI: [1.269, 2.734], p = .001). Discussion: Older AI/ANs who described either or both low cultural participation and low social engagement endorsed far more self-reported diagnoses of memory problems, suggesting a strong association that warrants further study for potential causality.
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Affiliation(s)
| | - Spero M. Manson
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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