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Lau ECY, Chen W, Lu CY, Hilmer SN, Jeon YH, Tan ECK. Antidementia and Psychotropic Drug Use in Older People With Dementia in Australia: A National Data Linkage Study. J Am Med Dir Assoc 2024:105237. [PMID: 39241849 DOI: 10.1016/j.jamda.2024.105237] [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: 04/23/2024] [Revised: 07/29/2024] [Accepted: 07/29/2024] [Indexed: 09/09/2024]
Abstract
OBJECTIVES To estimate the national prevalence of antidementia and psychotropic medication use, and sociodemographic factors associated with their use, in Australians living with dementia. DESIGN Retrospective cross-sectional study. SETTING AND PARTICIPANTS Nationwide data linkage study using 2021 Census and Pharmaceutical Benefits Scheme (PBS) data. All people aged 65 or older with dementia (self-reported in the Census or dispensed an antidementia drug subsidized by the PBS) were included. METHODS Medication use was defined as at least 1 dispensing during the 3-month period following the Census (August-October 2021). Prevalence of antidementia and psychotropic medication use, including antipsychotics, benzodiazepines and Z-drugs, antiepileptics, opioids, and psychostimulants, was calculated. Sociodemographic factors associated with medication use were explored using multivariable logistic regression models. RESULTS Of the 177,809 older people living with dementia included, 58.6% were using at least 1 psychotropic medication. Antidepressants were the most commonly used psychotropics (41%), followed by opioids (20%) and antipsychotics (13%). Antidementia medications were used by a quarter of people with dementia (26%). People with dementia living in the highest socioeconomic area were more likely to use antidementia medications (odds ratio [OR], 1.22; 95% CI, 1.17-1.28) and less likely to use psychotropics (OR, 0.91; 95% CI, 0.88-0.95) compared with people living in the lowest socioeconomic area. Conversely, those living in inner regional areas were more likely to use psychotropics (OR, 1.06; 95% CI, 1.03-1.10) and less likely to use antidementia medications (OR, 0.79; 95% CI, 0.77-0.82) compared with people living in metropolitan areas. CONCLUSIONS AND IMPLICATIONS Psychotropics were commonly used in people with dementia in Australia. Disparities in access to health care due to socioeconomic status or remoteness may have influenced the use of antidementia and psychotropic medications. Further strategies to allow more equitable access to resources and medications are needed.
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Affiliation(s)
- Edward C Y Lau
- The University of Sydney, School of Pharmacy, Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Weisi Chen
- The University of Sydney, School of Pharmacy, Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Christine Y Lu
- The University of Sydney, School of Pharmacy, Faculty of Medicine and Health, Sydney, New South Wales, Australia; Kolling Institute, The University of Sydney Faculty of Medicine and Health, Northern Clinical School and Northern Sydney Local Health District, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Sarah N Hilmer
- Kolling Institute, The University of Sydney Faculty of Medicine and Health, Northern Clinical School and Northern Sydney Local Health District, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Yun-Hee Jeon
- The University of Sydney, Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Edwin C K Tan
- The University of Sydney, School of Pharmacy, Faculty of Medicine and Health, Sydney, New South Wales, Australia; Pharmaceutical Policy Node, Charles Perkins Centre, The University of Sydney, New South Wales, Australia.
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Lin X, Ward SA, Pritchard E, Ahern S, Gardam M, Brodaty H, Ryan J, McNeil J, Tsindos T, Wallis K, Jeon Y, Robinson S, Krysinska K, Ayton D. Carer-reported measures for a dementia registry: A systematic scoping review and a qualitative study. Australas J Ageing 2023; 42:34-52. [PMID: 36383194 PMCID: PMC10947070 DOI: 10.1111/ajag.13148] [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: 06/26/2022] [Revised: 09/30/2022] [Accepted: 10/08/2022] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Informal carers play a critical role in supporting people with dementia. We conducted a scoping review and a qualitative study to inform the identification and development of carer-reported measures for a dementia clinical quality registry. METHODS Phase 1-Scoping review: Searches to identify carer-reported health and well-being measures were conducted in three databases (MEDLINE, PsycINFO and Embase). Data were extracted to record how the measures were administered, the domains of quality-of-life addressed and whether they had been used in a registry context. Phase 2-Qualitative study: Four focus groups were conducted with carers to examine the acceptability of selected measures and to identify outcomes that were important but missing from these measures. RESULTS Phase 1: Ninety-nine carer measures were identified with the top four being the Zarit Burden Interview (n = 39), the Short-Form12/36 (n = 14), the Brief Coping Orientation to Problems Experienced scale and the Sense of Coherence scale (both n = 9). Modes of administration included face-to-face (n = 50), postal (n = 11), telephone (n = 8) and online (n = 5). No measure had been used in a registry context. Phase 2: Carers preferred brief measures that included both outcome and experience questions, reflected changes in carers' circumstances and included open-ended questions. CONCLUSIONS Carer-reported measures for a dementia clinical quality registry need to include both outcome and experience questions to capture carers' perceptions of the process and outcomes of care and services. Existing carer-reported measures have not been used in a dementia registry context and adaption and further research are required.
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Affiliation(s)
- Xiaoping Lin
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Stephanie A. Ward
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Centre for Healthy Brain Ageing (CHeBA), School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
- Department of Geriatric MedicineThe Prince of Wales HospitalRandwickNew South WalesAustralia
| | - Elizabeth Pritchard
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Susannah Ahern
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Madeleine Gardam
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
- Dementia Centre for Research Collaboration, School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Joanne Ryan
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - John McNeil
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Tess Tsindos
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Kasey Wallis
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Yun‐Hee Jeon
- Susan Wakil School of Nursing and MidwiferyUniversity of SydneySydneyNew South WalesAustralia
| | - Sandra Robinson
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Karolina Krysinska
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Centre for Mental Health, School of Population and Global HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Darshini Ayton
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
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Sluggett JK, Air T, Cations M, Caughey GE, Lang CE, Ward SA, Ahern S, Lin X, Wallis K, Crotty M, Inacio MC. Clinical Quality Indicators for Monitoring Hospitalizations Among Older People with Dementia Accessing Aged Care Services. J Alzheimers Dis 2023; 96:1747-1758. [PMID: 38007661 DOI: 10.3233/jad-230730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
BACKGROUND There is a need for clinical quality indicators (CQIs) that can be applied to dementia quality registries to monitor care outcomes for people with Alzheimer's disease and other forms of dementia. OBJECTIVE To develop tertiary and primary care-based dementia CQIs for application to clinical registries for individuals with dementia accessing aged care services and determine 1) annual trends in CQI incidence between 2011-2012 and 2015-2016, 2) associated factors, and 3) geographic and facility variation in CQI incidence. METHODS This retrospective repeated cross-sectional study included non-Indigenous individuals aged 65-105 years who lived with dementia between July 2008-June 2016, were assessed for government-funded aged care services, and resided in New South Wales or Victoria (n = 180,675). Poisson or negative binomial regression models estimated trends in annual CQI incidence and associated factors. Funnel plots examined CQI variation. RESULTS Between 2011-2012 and 2015-2016, CQI incidence increased for falls (11.0% to 13.9%, adjusted incidence rate ratio (aIRR) 1.05 (95% CI 1.01-1.06)) and delirium (4.7% to 6.7%, aIRR 1.09 (95% CI 1.07-1.10)), decreased for unplanned hospitalizations (28.7% to 27.9%, aIRR 0.99 (95% CI 0.98-0.99)) and remained steady for fracture (6.2% to 6.5%, aIRR 1.01 (95% CI 0.99-1.01)) and pressure injuries (0.5% to 0.4%, aIRR 0.99 (95% CI 0.96-1.02)). Being male, older, having more comorbidities and living in a major city were associated with higher CQI incidence. Considerable geographical and facility variation was observed for unplanned hospitalizations and delirium CQIs. CONCLUSIONS The CQI results highlighted considerable morbidity. The CQIs tested should be considered for application in clinical quality registries to monitor dementia care quality.
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Affiliation(s)
- Janet K Sluggett
- University of South Australia, UniSA Allied Health and Human Performance, Adelaide, South Australia, Australia
- Registry of Senior Australians (ROSA), Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Tracy Air
- Registry of Senior Australians (ROSA), Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Monica Cations
- Registry of Senior Australians (ROSA), Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- College of Education, Psychology and Social Work, Flinders University, Adelaide, South Australia, Australia
| | - Gillian E Caughey
- University of South Australia, UniSA Allied Health and Human Performance, Adelaide, South Australia, Australia
- Registry of Senior Australians (ROSA), Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Catherine E Lang
- Registry of Senior Australians (ROSA), Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Stephanie A Ward
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Department of Geriatric Medicine, The Prince of Wales Hospital, Randwick, New South Wales, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Susannah Ahern
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Xiaoping Lin
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Kasey Wallis
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Maria Crotty
- Southern Adelaide Local Health Network, SA Health, Adelaide, South Australia, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Maria C Inacio
- University of South Australia, UniSA Allied Health and Human Performance, Adelaide, South Australia, Australia
- Registry of Senior Australians (ROSA), Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
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Inacio MC, Caughey GE, Wesselingh S. Registry of Senior Australians (ROSA): integrating cross-sectoral information to evaluate quality and safety of care provided to older people. BMJ Open 2022; 12:e066390. [PMID: 36396322 PMCID: PMC9676420 DOI: 10.1136/bmjopen-2022-066390] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
PURPOSE The Registry of Senior Australians (ROSA) was established to evaluate aged care experiences in Australia. In this manuscript, we describe the ROSA framework, the two ROSA cohorts, highlights from research findings, and future plans. PARTICIPANTS The South Australian ROSA Prospective Cohort (August 2018-June 2020) enrolled 26 605 participants, of which 59.2% (N=15 745) are women, with a median age of 83 (interquartile range (IQR) 77-88). The National ROSA Historical Cohort (January 2002-June 2020) includes 1 694 206 participants with an aged care eligibility assessment, of which 59.1% (N=1 001 705) are women and the median age is 78 (IQR 72-83). FINDINGS TO DATE Most research using the ROSA has focused on dementia, service accessibility, quality and safety of care, falls and injuries and quality use of medicines. The ROSA has also examined the experience of individuals with highly prevalent and understudied conditions in aged care settings (eg, eye and mental health) and aspects of services (eg, built environment) and innovation (eg, mobile radiological services) that can affect older people's health. Important learnings from the ROSA's development include the significant resources and multidisciplinary expertise required for establishing this platform. Between 2018 and 2022, 43 academic publications, eight reports of the Australian Government Royal Commission into Aged Care Quality and Safety, and several reports to state health authorities and professional societies have used the ROSA. FUTURE PLANS Our plans include to: (1) continue delivering high-quality evidence to support the improvement of ageing and aged care services; (2) influence and improve the quality of research in and for the aged care sector; (3) expand scope to facilitate examining aims in more depth; (4) include future aged care sector data collections within the ROSA; (5) inform best practices and innovate how consumer engagement occurs in research; (6) monitor and evaluate the impact of the 2021 Australian Aged Care Reforms.
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Affiliation(s)
- Maria C Inacio
- Registry of Older South Australians, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- UniSA Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Gillian Elizabeth Caughey
- Registry of Older South Australians, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- UniSA Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Steve Wesselingh
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
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Rahja M, Air T, Ahern S, Ward SA, Caughey GE, Sluggett JK, Cations M, Lin X, Wallis K, Crotty M, Inacio M. Primary and Secondary Care Related Quality Indicators for Dementia Care Among Australian Aged Care Users: National Trends, Risk Factors, and Variation. J Alzheimers Dis 2022; 88:1511-1522. [DOI: 10.3233/jad-220336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Studies related to clinical quality indicators (CQIs) in dementia have focused on hospitalizations, medication management, and safety. Less attention has been paid to indicators related to primary and secondary care. Objective: To evaluate the incidence of primary and secondary care CQIs for Australians with dementia using government-subsidized aged care. The examined CQIs were: comprehensive medication reviews, 75+ health assessments, comprehensive geriatric assessments, chronic disease management plans, general practitioner (GP) mental health treatment plans, and psychiatrist attendances. Methods: Retrospective cohort study (2011–2016) of 255,458 individuals. National trend analyses estimated incidence rates and 95% confidence intervals (CI) using Poisson or negative binomial regression. Associations were assessed using backward stepwise multivariate Poisson or negative binomial regression model, as appropriate. Funnel plots examined geographic and PRAC facility variation. Results: CQI incidence increased in all CQIs but medication reviews. For the overall cohort, 75+ health assessments increased from 1.07/1000 person-days to 1.16/1000 person-days (adjusted incidence rate ratio (aIRR) = 1.03, 95% CI 1.02–1.03).Comprehensive geriatric assessments increased from 0.24 to 0.37/1000 person-days (aIRR = 1.12, 95% CI 1.10–1.14). GP mental health treatment plans increased from 1.30 to 2.1/1000 person-days (aIRR = 1.13, 95% CI 1.12–1.15). Psychiatric attendances increased from 0.09 to 0.11/1000 person-days (aIRR = 1.05, 95% CI 1.03–1.07). Being female, older, having fewer comorbidities, and living outside a major city were associated with lower likelihood of using the services. Large geographical and facility variation was observed (0–92%). Conclusion: Better use of primary and secondary care services to address needs of individuals with dementia is urgently needed.
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Affiliation(s)
- Miia Rahja
- Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, Division of Rehabilitation, Aged and Palliative Care, Flinders Drive, Bedford Park, SA, Australia
| | - Tracy Air
- Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Susannah Ahern
- Department of Epidemiology and Preventive Medicine, Monash University, Parkville, VIC, Australia
| | - Stephanie A. Ward
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Department of Geriatric Medicine, Prince of Wales Hospital, Randwick, NSW, Australia
| | - Gillian E. Caughey
- Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Janet K. Sluggett
- Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
- University of South Australia, UniSA Allied Health and Human Performance, Adelaide, SA, Australia
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia
| | - Monica Cations
- College of Education, Psychology and Social Work, Flinders University, Bedford Park, Australia
| | - Xiaoping Lin
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia
| | - Kasey Wallis
- Department of Epidemiology and Preventive Medicine, Monash University, Parkville, VIC, Australia
| | - Maria Crotty
- Flinders Health and Medical Research Institute, Division of Rehabilitation, Aged and Palliative Care, Flinders Drive, Bedford Park, SA, Australia
| | - Maria Inacio
- Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
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