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Bloomfield K, Wu Z, Tatton A, Calvert C, Hikaka J, Boyd M, Bramley D, Connolly MJ. The Association between Frailty, Quality of Life and Resilience in Community-dwelling Retirement Village Residents. J Am Med Dir Assoc 2024; 25:105256. [PMID: 39270735 DOI: 10.1016/j.jamda.2024.105256] [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: 11/30/2023] [Revised: 08/04/2024] [Accepted: 08/06/2024] [Indexed: 09/15/2024]
Abstract
OBJECTIVES Housing quality has significant impact on the wider determinants of health and quality of life (QoL). Retirement villages are considered age-friendly accommodation for community-dwelling older people, offering a variable range of services and supports. We wished to explore the relationship among frailty, QoL, and resilience in older people residing in retirement villages. DESIGN Cross-sectional analysis within a longitudinal study. SETTING AND PARTICIPANTS Residents from 33 retirement villages in Auckland, Aotearoa, New Zealand. METHODS Frailty [using an interRAI-Community Health Assessment-based frailty index FI)], QoL [World Health Organization Quality of Life-Brief Version (WHOQOL-BREF) and WHOQOL-Older Adults Module (WHOQOL-OLD)], and resilience [Brief Resilience Scale (BRS)]. Associations among frailty, QoL, and resilience were examined using regression analysis adjusting for confounders. RESULTS Mean (SD): FI 0.2 (0.1) in 479 residents, BRS 3.7 (0.8) in 395 residents, WHOQOL-OLD total score 69.9 (12.2). FI was inversely related to BRS [adjusted mean difference (MD) -0.35; 95% CI -0.43 to -0.26; P < .001] and WHOQOL-OLD (MD, -5.45; 95% CI -6.89 to 4.01; P < .001). FI inverse relationship was seen across all facets of WHOQOL-OLD and all WHOQOL-BREF facets except psychological. CONCLUSIONS AND IMPLICATIONS Frailty was inversely related to resilience and multiple domains of QoL in those living in presumed age-friendly and relatively resource-rich environments. Studies exploring causal relationships between these facets could inform interventions necessary to improve QoL and resilience in those living with frailty. Specific multidimensional needs, wishes, and concerns of older people living with frailty needs to be explored in order to potentially intervene on frailty, QoL, and resilience.
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Affiliation(s)
- Katherine Bloomfield
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand; Waitematā District Health Board/Te Whatu Ora Waitematā, Auckland, New Zealand.
| | - Zhenqiang Wu
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.
| | - Annie Tatton
- Waitematā District Health Board/Te Whatu Ora Waitematā, Auckland, New Zealand
| | - Cheryl Calvert
- Auckland District Health Board/Te Whatu Ora - Health New Zealand Te Toka Tumai Auckland, Auckland, New Zealand
| | - Joanna Hikaka
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand; Waitematā District Health Board/Te Whatu Ora Waitematā, Auckland, New Zealand
| | - Michal Boyd
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Dale Bramley
- Waitematā District Health Board/Te Whatu Ora Waitematā, Auckland, New Zealand
| | - Martin J Connolly
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand; Waitematā District Health Board/Te Whatu Ora Waitematā, Auckland, New Zealand
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Bloomfield K, Wu Z, Boyd M, Broad JB, Hikaka J, Peri K, Bramley D, Tatton A, Calvert C, Higgins AM, Connolly MJ. Changes in hospitalisation rates in older people before and after moving to a retirement village. Australas J Ageing 2023; 42:660-667. [PMID: 37036833 DOI: 10.1111/ajag.13197] [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: 09/08/2022] [Revised: 01/31/2023] [Accepted: 03/12/2023] [Indexed: 04/11/2023]
Abstract
OBJECTIVES An increasing proportion of older people live in Retirement Villages ('villages'). This population cites support for health-care issues as one reason for relocation to villages. Here, we examine whether relocation to villages is associated with a decline in hospitalisations. METHODS Retrospective, before-and-after observational study. SETTING Retirement villages, Auckland, New Zealand. PARTICIPANTS 466 cognitively intact village residents (336 [72%] female); mean (SD) age at moving to village was 73.9 (7.7) years. Segmented linear regression analysis of an interrupted time-series design was used. MAIN OUTCOME MEASURES all hospitalisations for 18 months pre- and postrelocation to village. SECONDARY OUTCOME acute hospitalisations during the same time periods. RESULTS The average hospitalisation rate (per 100 person-years) was 44.9 (95% confidence interval [CI] = 36.3-55.6) 18-10 months before village relocation, 58.9 (95% CI = 48.3-72.0) 9-1 months before moving, 47.9 (95% CI = 38.8-59.1) 1-9 months after moving and 62.4 (95% CI = 51.2-76.0) 10-18 months after moving. Monthly average hospitalisation rate (per 100 person-years) increased before relocation to village by an average of 1.2 (95% CI = 0.01-1.57, p = .04) per month from 18 to 1 month before moving, and there was a change in the level of the monthly average hospitalisation rate immediately after relocation (mean difference [MD] = -18.4 per 100 person-years, 95% CI = -32.8 to -4.1, p = .02). The trend change after village relocation did not differ significantly from that before moving. CONCLUSIONS Although we cannot reliably claim causality, relocation to a retirement village is, for older people, associated with a significant but non-sustained reduction in hospitalisation.
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Affiliation(s)
- Katherine Bloomfield
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Waitematā District Health Board, Auckland, New Zealand
| | - Zhenqiang Wu
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Michal Boyd
- School of Nursing, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Joanna B Broad
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Joanna Hikaka
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Kathy Peri
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Dale Bramley
- Waitematā District Health Board, Auckland, New Zealand
| | - Annie Tatton
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Waitematā District Health Board, Auckland, New Zealand
| | - Cheryl Calvert
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Auckland District Health Board, Auckland, New Zealand
| | - Ann-Marie Higgins
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Martin J Connolly
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Waitematā District Health Board, Auckland, New Zealand
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Merrick E, Shannon K, Neville S, Bail K, Vorster A, Fry M. A cross‐sectional description of the health characteristics of cognitively impaired older adults. Australas J Ageing 2022; 42:241-245. [PMID: 36334060 DOI: 10.1111/ajag.13152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 10/10/2022] [Accepted: 10/18/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVES The analysis presented here describes the care needs of older adults with and without cognitive impairment. To describe the health characteristics of older adults with and without cognitive impairment who receive home care or Aged Residential Care services in New Zealand. METHODS A descriptive analysis of the initial interRAI assessment for adults older than 55 years was undertaken. Data were grouped by level of assessed cognitive impairment. The population proportions for each level of the following scales were calculated: Changes in Health, End-stage Disease, Signs, and Symptoms Scale (CHESS), pain, pressure injury risk, Activities of Daily Living (ADL), depression screening, and body mass index (BMI). RESULTS The analysis included 93,680 assessments. The mean age was 83 years (SD = 8.7) a positive association was observed between age and cognitive impairment (p < 0.01). People with cognitive impairment were less likely to have been recently hospitalised or to have attended ED (p < 0.01). Significant associations with effect sizes ≥3 were observed for cognitive impairment and ADL (p < 0.01, γ = 0.63), pain (p < 0.01, γ = -0.32), and risk of pressure injury (p < 0.01, Cramer's V = 0.271). CONCLUSIONS The results reinforce a need to be alert to the differential care needs of older adults with moderate/severe cognitive impairment. The findings may act as a trigger for practitioners to focus assessment on aspects of care that, due to context, may otherwise be underassessed or untreated.
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Affiliation(s)
- Eamon Merrick
- School of Clinical Science Auckland University of Technology Auckland New Zealand
| | - Kay Shannon
- School of Clinical Science Auckland University of Technology Auckland New Zealand
| | - Stephen Neville
- Department of Nursing Auckland University of Technology Auckland New Zealand
| | - Kasia Bail
- Department of Nursing University of Canberra Canberra Australian Capital Territory Australia
| | - Anja Vorster
- Department of Biostatistics, Faculty of Health and Environmental Sciences Auckland University of Technology Auckland New Zealand
| | - Margaret Fry
- Nursing School, Faculty of Medicine and Health University of Technology Sydney Sydney New South Wales Australia
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Jung I, Bloomfield K, Hikaka J, Tatton A, Boyd M. "Making an effort for the very elderly": The acceptability of a multidisciplinary intervention to retirement village residents. HEALTH & SOCIAL CARE IN THE COMMUNITY 2022; 30:e5356-e5365. [PMID: 35913001 PMCID: PMC10087237 DOI: 10.1111/hsc.13957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 06/22/2022] [Accepted: 07/16/2022] [Indexed: 06/15/2023]
Abstract
The retirement village (RV) population is a growing one, with many residents having unmet healthcare needs. Despite this, there is a relative paucity of research in the RV community. We previously performed a randomised controlled trial (RCT) of a multidisciplinary (MD) nurse-led community intervention versus usual care within 33 RVs in Auckland, New Zealand. Participant acceptability is an important aspect in assessing intervention feasibility and effectiveness. The aim of this current qualitative study was to assess the acceptability of the intervention in participating residents. Data were collected using semi-structured interviews designed around the Theoretical Framework of Acceptability. Thematic analysis was undertaken using a general inductive approach. Of the 199 participants in the intervention arm of the original RCT, 27 were invited to take part in this qualitative study. Fifteen participants were recruited with a median age of 89 years, 10 were female and all were of European ethnicity. Participants were generally positive about the intervention and research processes. Three themes were identified: (1) participants' understanding of intervention aims and effectiveness; (2) the importance of older adult involvement and (3) level of comfort in the research process. Despite the MD intervention being deemed acceptable across several domains, results provided learning points for the future design of MD interventions in RV residents and older adults more generally. We recommend that future intervention studies incorporate co-design methodologies which may improve the likelihood of intervention success.
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Affiliation(s)
- Isabelle Jung
- Faculty of Medicine and Health SciencesUniversity of AucklandAucklandNew Zealand
| | - Katherine Bloomfield
- Faculty of Medicine and Health SciencesUniversity of AucklandAucklandNew Zealand
- Waitematā District Health BoardAucklandNew Zealand
| | - Joanna Hikaka
- Faculty of Medicine and Health SciencesUniversity of AucklandAucklandNew Zealand
| | - Annie Tatton
- Waitematā District Health BoardAucklandNew Zealand
| | - Michal Boyd
- Faculty of Medicine and Health SciencesUniversity of AucklandAucklandNew Zealand
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Bloomfield K, Wu Z, Tatton A, Calvert C, Peel N, Hubbard R, Jamieson H, Hikaka J, Boyd M, Bramley D, Connolly MJ. An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study. PLoS One 2022; 17:e0264715. [PMID: 35235598 PMCID: PMC8890727 DOI: 10.1371/journal.pone.0264715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 02/11/2022] [Indexed: 11/18/2022] Open
Abstract
Objectives The development of frailty tools from electronically recorded healthcare data allows frailty assessments to be routinely generated, potentially beneficial for individuals and healthcare providers. We wished to assess the predictive validity of a frailty index (FI) derived from interRAI Community Health Assessment (CHA) for outcomes in older adults residing in retirement villages (RVs), elsewhere called continuing care retirement communities. Design Prospective cohort study. Setting and participants 34 RVs across two district health boards in Auckland, Aotearoa New Zealand (NZ). 577 participants, mean age 81 years; 419 (73%) female; 410 (71%) NZ European, 147 (25%) other European, 8 Asian (1%), 7 Māori (1%), 1 Pasifika (<1%), 4 other (<1%). Methods interRAI-CHA FI tool was used to stratify participants into fit (0–0.12), mild (>0.12–0.24), moderate (>0.24–0.36) and severe (>0.36) frail groups at baseline (the latter two grouped due to low numbers of severely frail). Primary outcome was acute hospitalization; secondary outcomes included long-term care (LTC) entry and mortality. The relationship between frailty and outcomes were explored with multivariable Cox regression, estimating hazard ratios (HRs) and 95% confidence intervals (95%CIs). Results Over mean follow-up of 2.5 years, 33% (69/209) of fit, 58% (152/260) mildly frail and 79% (85/108) moderate-severely frail participants at baseline had at least one acute hospitalization. Compared to the fit group, significantly increased risk of acute hospitalization were identified in mildly frail (adjusted HR = 1.88, 95%CI = 1.41–2.51, p<0.001) and moderate-severely frail (adjusted HR = 3.52, 95%CI = 2.53–4.90, p<0.001) groups. Similar increased risk in moderate-severely frail participants was seen in LTC entry (adjusted HR = 5.60 95%CI = 2.47–12.72, p<0.001) and mortality (adjusted HR = 5.06, 95%CI = 1.71–15.02, p = 0.003). Conclusions and implications The FI derived from interRAI-CHA has robust predictive validity for acute hospitalization, LTC entry and mortality. This adds to the growing literature of use of interRAI tools in this way and may assist healthcare providers with rapid identification of frailty.
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Affiliation(s)
- Katherine Bloomfield
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
- Waitematā District Health Board, Auckland, New Zealand
- * E-mail:
| | - Zhenqiang Wu
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Annie Tatton
- Waitematā District Health Board, Auckland, New Zealand
| | | | - Nancye Peel
- Centre for Health Services Research, University of Queensland, Brisbane, Queensland, Australia
| | - Ruth Hubbard
- Centre for Health Services Research, University of Queensland, Brisbane, Queensland, Australia
| | - Hamish Jamieson
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Joanna Hikaka
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Michal Boyd
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Dale Bramley
- Waitematā District Health Board, Auckland, New Zealand
| | - Martin J. Connolly
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
- Waitematā District Health Board, Auckland, New Zealand
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Bloomfield K, Wu Z, Broad JB, Tatton A, Calvert C, Hikaka J, Boyd M, Peri K, Bramley D, Higgins AM, Connolly MJ. Factors associated with healthcare utilization and trajectories in retirement village residents. J Am Geriatr Soc 2021; 70:754-765. [PMID: 34910296 DOI: 10.1111/jgs.17602] [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: 06/10/2021] [Revised: 11/01/2021] [Accepted: 11/17/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND To study healthcare utilization and trajectories, and associated factors, in older adults in retirement villages (RVs), also known as continuing care retirement communities. METHODS Prospective cohort study of 578 cognitively intact residents from 34 RVs in Auckland, New Zealand (NZ). MEASUREMENT InterRAI-Community Health Assessment (includes core items that may trigger functional supplement (FS) completion in those with higher needs, and generates clinical assessment protocols (CAPs) in those with potential unmet needs). OUTCOMES time to acute hospitalization, long-term care (LTC), and death during average 2.5 years follow-up. RESULTS Three hundred seven (53%) residents had acute hospitalizations, 65 (11%) moved to LTC, and 51 (9%) died over a mean of 2.5 years. Factors associated with increased risk of acute hospitalization included CAP-falls (high risk) triggered, number of comorbidities, not having left RV in 2 weeks prior, moderate/severe hearing impairment, CAP-cardiorespiratory conditions triggered, acute hospitalization in year prior and age, with significant hazard ratios (HR) ranging between 1.03 and 2.90. Factors associated with reduced risk of hospitalization included other (non-NZ) European ethnicity (HR 0.73, 95% CI 0.55-0.98, p = 0.04), presence of on-site clinic (HR 0.62, 95% CI 0.45-0.85, p = 0.003), no influenza vaccination (HR 0.56, 95% CI 0.38-0.83, p = 0.004). Factors associated with LTC transition included FS triggered (HR 3.84, 95% CI 1.92-7.66, p < 0.001), CAP-instrumental activities of daily living (IADL) (HR 2.62, 95% CI 1.22-5.62, p = 0.01), CAP-social relationship triggered (HR 2.00, 95% CI 1.13-3.55, p = 0.02), and age (HR 1.13, 95% CI 1.07-1.18 p < 0.001). Factors associated with mortality included number of comorbidities (HR 3.75, 95% CI 1.54-9.10, p = 0.004 for 3-5 comorbidities), CAP-IADL triggered (HR 3.05, 95% CI 1.30-7.16, p = 0.01), and age (HR 1.11, 95% CI 1.05-1.18, p < 0.001). CONCLUSION A large proportion of cognitively intact RV residents are admitted to hospital in mean 2.5 years of follow-up. Multiple factors were associated with acute hospitalization risk. On-site clinics were associated with reduced risk and should be considered in RV development.
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Affiliation(s)
- Katherine Bloomfield
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.,Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
| | - Zhenqiang Wu
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Joanna B Broad
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Annie Tatton
- Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
| | - Cheryl Calvert
- Community and Long Term Conditions, Auckland District Health Board, Auckland, New Zealand
| | - Joanna Hikaka
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.,Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
| | - Michal Boyd
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Kathy Peri
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Dale Bramley
- Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
| | - Ann-Marie Higgins
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Martin J Connolly
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.,Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
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Bloomfield K, Wu Z, Broad JB, Tatton A, Calvert C, Hikaka J, Boyd M, Peri K, Bramley D, Higgins AM, Connolly MJ. Learning from a multidisciplinary randomized controlled intervention in retirement village residents. J Am Geriatr Soc 2021; 70:743-753. [PMID: 34709659 DOI: 10.1111/jgs.17533] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 09/16/2021] [Accepted: 10/02/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Retirement villages (RVs), also known as continuing care retirement communities, are an increasingly popular housing choice for older adults. The RV population has significant health needs, possibly representing a group with needs in between community-dwelling older adults and those in long-term residential care (LTC). Our previous work shows Gerontology Nurse Specialist (GNS)-facilitated multidisciplinary team (MDT) interventions may reduce hospitalizations from LTC. This study tested whether a similar intervention reduced hospitalizations in RV residents. METHODS Open-label randomized controlled trial in which 412 older residents of 33 RVs were randomized (1:1) to an MDT intervention or usual care. SETTING RVs across two District Health Boards in Auckland, New Zealand. Residents were eligible if considered high risk of health/functional decline (triggering ≥3 interRAI Clinical Assessment Protocols or needing special consideration identified by GNS). INTERVENTION GNS-facilitated MDT intervention, including geriatrician/nurse practitioner and clinical pharmacist, versus usual care. Primary outcome was time from randomization to first acute hospitalization. Secondary outcomes were rate of acute hospitalizations, LTC admission, and mortality. Twelve residents died before randomization; all others (n = 400: MDT intervention = 199; usual care = 201) were included in intention-to-treat analyses. RESULTS Mean (SD) age was 82.2 (6.9) years, 302 (75.5%) were women, and 378 (94.5%) were European. Over median 1.5 years follow-up, no difference was found in hazard of acute hospitalization between the MDT intervention (51.8%) and usual care (49.3%) groups (Hazard ratio [HR] = 1.01, 95% CI = 0.77-1.34). No difference was found in the incidence rate of acute hospitalizations between the MDT intervention (0.69 per person-year) and usual care (0.86 per person-year) groups (incidence rate ratio = 0.81, 95% CI = 0.59-1.10). Similar results were seen for the proportion of residents with LTC transition (HR = 1.18, 95% CI = 0.65-2.11) and mortality (HR = 0.70, 95% CI = 0.36-1.35). CONCLUSION Further studies are needed to assess the effects of other patient-centered interventions and outcomes with adequate primary care integration.
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Affiliation(s)
- Katherine Bloomfield
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.,Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
| | - Zhenqiang Wu
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Joanna B Broad
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Annie Tatton
- Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
| | - Cheryl Calvert
- Community and Long Term Conditions, Auckland District Health Board, Auckland, New Zealand
| | - Joanna Hikaka
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.,Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
| | - Michal Boyd
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Kathy Peri
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Dale Bramley
- Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
| | - Ann-Marie Higgins
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Martin J Connolly
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.,Older Adults' Health, Waitematā District Health Board, Auckland, New Zealand
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Gajda M, Kowalska M, Zejda JE. Impact of Two Different Recruitment Procedures (Random vs. Volunteer Selection) on the Results of Seroepidemiological Study (SARS-CoV-2). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18189928. [PMID: 34574850 PMCID: PMC8466492 DOI: 10.3390/ijerph18189928] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 11/17/2022]
Abstract
The proper recruitment of subjects for population-based epidemiological studies is critical to the external validity of the studies and, above all, to the sound and correct interpretation of the findings. Since 2020, the novel coronavirus SARS-CoV-2 pandemic has been a new factor that has been, additionally, hindering studies. Therefore, the aim of our study is to compare demographic, socio-economic, health-related characteristics and the frequency of SARS-CoV-2 infection occurrence among the randomly selected group and the group composed of volunteers. We compare two groups of participants from the cross-sectional study assessing the seroprevalence of SARS-CoV-2 coronavirus, which was conducted in autumn 2020, in three cities of the Silesian Voivodeship in Poland. The first group consisted of a randomly selected, nationally representative, age-stratified sample of subjects (1167 participants, “RG” group) and was recruited using personal invitation letters and postal addresses obtained from a national registry. The second group (4321 volunteers, “VG” group) included those who expressed their willingness to participate in response to an advertisement published in the media. Compared with RG subjects, volunteers were more often females, younger and professionally active, more often had a history of contact with a COVID-19 patient, post-contact nasopharyngeal swab, fewer comorbidities, as well as declared the occurrence of symptoms that might suggest infection with SARS-CoV-2. Additionally, in the VG group the percentage of positive IgG results and tuberculosis vaccination were higher. The findings of the study confirm that surveys limited to volunteers are biased. The presence of the bias may seriously affect and distort inference and make the generalizability of the results more than questionable. Although effective control over selection bias in surveys, including volunteers, is virtually impossible, its impact on the survey results is impossible to predict. However, whenever possible, such surveys could include a small component of a random sample to assess the presence and potential effects of selection bias.
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Bloomfield K, Wu Z, Tatton A, Calvert C, Peel N, Hubbard R, Jamieson H, Hikaka J, Boyd M, Bramley D, Connolly MJ. An interRAI-derived frailty index is associated with prior hospitalisations in older adults residing in retirement villages. Australas J Ageing 2020; 40:66-71. [PMID: 33118304 DOI: 10.1111/ajag.12863] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 08/19/2020] [Accepted: 09/09/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVES To develop and validate a frailty index (FI) from interRAI-Community Health Assessments (CHA) on older adults in retirement villages (RVs). METHODS This is a cross-sectional analysis of a current RV research study. A FI was generated using the cumulative deficit model. Health-care utilisation measures were acute, and all, hospitalisations 12 months before baseline assessment. Associations between FI and hospitalisations were explored using multivariable logistic regression to estimate odds ratio (OR). RESULTS Of 577 included residents, mean (SD) age was 81 (7) and 419 (73%) were female. Mean (SD) FI was 0.16 (0.09); 260 (45%) were mildly frail, and 108 (19%) moderate-severely frail. In multivariate-adjusted analysis, odds of acute hospitalisation for mild (OR = 3.3, P < .001) and moderate-severely frail (OR = 6.4, P < .001) were significantly higher than fit residents. Higher odds were also observed for all hospitalisations. CONCLUSION A considerable proportion of RV residents were moderately-severely frail. FI was associated with acute and all hospitalisations.
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Affiliation(s)
- Katherine Bloomfield
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.,Waitematā District Health Board, Auckland, New Zealand
| | - Zhenqiang Wu
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Annie Tatton
- Waitematā District Health Board, Auckland, New Zealand
| | | | - Nancye Peel
- University of Queensland, Brisbane, Queensland, Australia
| | - Ruth Hubbard
- University of Queensland, Brisbane, Queensland, Australia
| | - Hamish Jamieson
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Joanna Hikaka
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Michal Boyd
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Dale Bramley
- Waitematā District Health Board, Auckland, New Zealand
| | - Martin J Connolly
- Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.,Waitematā District Health Board, Auckland, New Zealand
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