Intention to undergo dementia screening in primary care settings among community‐dwelling older people

2020 ◽  
Vol 35 (9) ◽  
pp. 1036-1042 ◽  
Author(s):  
Yoko Aihara ◽  
Kiyoshi Maeda
Keyword(s):  
Primary Care ◽  
Older People ◽  
Community Dwelling ◽  
Dementia Screening ◽  
Primary Care Settings ◽  
Community Dwelling Older People

scholarly journals How primary care providers promote active aging in community-dwelling older people with mental disorders: A qualitative study

2018 ◽  
Vol 7 (1) ◽  
pp. 31 ◽  
Author(s):  
Kedsaraporn Kenbubpha ◽  
Isabel Higgins ◽  
Amanda Wilson ◽  
Sally Wai-Chi Chan
Keyword(s):  
Primary Care ◽  
Mental Disorders ◽  
Older People ◽  
Primary Care Providers ◽  
Community Dwelling ◽  
Active Aging ◽  
Care Providers ◽  
New Instrument ◽  
Aging In Community ◽  
Community Dwelling Older People

The promotion of active aging in community-dwelling older people with mental disorders is an under-researched area. Primary care providers play an important role in engaging older people with mental health disorders to optimize active aging and increase their quality of life. This study explored how primary care providers apply the concept of active aging in community-dwelling older people with mental disorders and to identify factors that facilitate or hinder such application for promoting active aging in this group. Two focus groups were conducted. Fourteen primary care providers were recruited by purposive sampling from two primary care units located in Ubonratchathani province, the northeast region of Thailand. Content analysis was used to analyse the data. The study found that the majority of primary care providers were unfamiliar with the notion of active aging and that older people with mental disorders were not encouraged to join the health promotion activities organised by the community centre. Thai primary care providers need to be supported with training to enhance skills for promoting active ageing in this group. They also lack resources from the national and local government. The findings of this study were used to help develop a new instrument to measure perspectives of primary care providers in a quantitative study.

O3-07-07: An in-home geriatric program for vulnerable community-dwelling older people improves the detection of dementia in primary care

2008 ◽  
Vol 4 ◽  
pp. T175-T175
Author(s):  
Marieke Perry ◽  
René Melis ◽  
Steven Teerenstra ◽  
Irena Drašković ◽  
Theo van Achterberg ◽  
...  
Keyword(s):  
Primary Care ◽  
Older People ◽  
Community Dwelling ◽  
Vulnerable Community ◽  
Community Dwelling Older People

An in-home geriatric programme for vulnerable community-dwelling older people improves the detection of dementia in primary care

2008 ◽  
Vol 23 (12) ◽  
pp. 1312-1319 ◽  
Author(s):  
M. Perry ◽  
R. J. F. Melis ◽  
S. Teerenstra ◽  
I. Drašković ◽  
T. van Achterberg ◽  
...  
Keyword(s):  
Primary Care ◽  
Older People ◽  
Community Dwelling ◽  
Vulnerable Community ◽  
Community Dwelling Older People

scholarly journals Development and internal validation of a risk prediction model for falls among older people using primary care electronic health records

2021 ◽  
Author(s):  
Noman Dormosh ◽  
Martijn C Schut ◽  
Martijn W Heymans ◽  
Nathalie van der Velde ◽  
Ameen Abu-Hanna
Keyword(s):  
Primary Care ◽  
High Risk ◽  
Older People ◽  
Prediction Model ◽  
Community Dwelling ◽  
Receiver Operating Curve ◽  
Free Text ◽  
Medical Conditions ◽  
History Of ◽  
Community Dwelling Older People

Abstract Background Currently used prediction tools have limited ability to identify community-dwelling older people at high risk for falls. Prediction models utilizing Electronic Heath Records (EHR) provide opportunities but up to now showed limited clinical value as risk stratification tool; because of among others the underestimation of falls prevalence. The aim of this study was to develop a fall prediction model for community-dwelling older people using a combination of structured data and free text of primary care EHR and to internally validate its predictive performance. Methods EHR data of individuals aged 65 or over. Age, sex, history of falls, medications and medical conditions were included as potential predictors. Falls were ascertained from the free text. We employed the Bootstrap-enhanced penalized logistic regression with the least absolute shrinkage and selection operator to develop the prediction model. We used 10-fold cross-validation to internally validate the prediction strategy. Model performance was assessed in terms of discrimination and calibration. Results Data of 36,470 eligible participants were extracted from the dataset. The number of participants who fell at least once was 4,778 (13.1%). The final prediction model included age, sex, history of falls, two medications and five medical conditions. The model had a median area under the receiver operating curve of 0.705 (IQR 0.700-0.714) . Conclusions Our prediction model to identify older people at high risk for falls achieved fair discrimination, and had reasonable calibration. It can be applied in clinical practice as it relies on routinely collected variables and does not require mobility assessment tests.

scholarly journals The cost of community research—recruiting community-dwelling participants to a feasibility primary care cluster randomised controlled trial

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Nicola Harrison ◽  
Caroline Brundle ◽  
Anne Heaven ◽  
Andrew Clegg
Keyword(s):  
Primary Care ◽  
Older People ◽  
Controlled Trial ◽  
Cluster Randomised Controlled Trial ◽  
Community Dwelling ◽  
Baseline Data ◽  
Community Based ◽  
Cluster Randomised ◽  
Community Dwelling Older People ◽  
Randomised Controlled

Abstract Background To support a robust evidence base for the organisation and provision of community-delivered health services for older people, clinical trials need to be designed to account for community-based participant recruitment. There is currently little reported information available on the time and cost of recruiting community-dwelling older people, which makes the completion of cost attribution documentation problematic when applying for research funding. Main body We aimed to establish the amount of researcher time it takes to recruit community-dwelling older people to a feasibility primary care cluster randomised controlled trial, including collecting baseline data. The trial was part of a programme of work investigating an intervention to improve the quality of life for older people with frailty. Two researchers conducting home visits to recruit and collect baseline data from participants recorded the time spent on travelling to and from the visit, at the visit itself and any associated administration. The median total researcher activity time per visit was 148 min. We discuss the various elements of recruitment and data collection activity and the factors that impacted the length of time taken, including location, individuals’ capacity and cognition, hearing and visual impairment and the desire for social contact. Conclusion Studies cannot reach their recruitment targets if they are unrealistically planned and resourced. We recommend that trials recruiting older people in the community allocate two and a half hours of researcher time per person, on average, for consent, baseline data collection, travel and administration. We acknowledge that a variety of different factors will mean that researcher activity will vary between different community-based trials. Our findings give a good starting point for timing calculations, and evidence on which to base the justification of research activity costings. Trial registration Personalised care planning for older people with frailty ISRCTN12363970. 08/11/2018.

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