Catherine Paquet

Dr. Catherine Paquet

Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide SA 5001, Australia
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2019 in Sleep Medicine Reviews
Verified
Journal Article
Closed access
LMLisa Matricciani
Lisa Matricciani
Catherine PaquetCatherine Paquet
Catherine Paquet
BGBarbara Galland
Barbara Galland
MSMichelle Short
Michelle Short
TOTim Stephen Olds
Tim Stephen Olds

1 October 2017 in Sleep Health
Verified
Journal Article
Closed access
LMLisa Matricciani
Lisa Matricciani
Yu Sun BinYu Sun Bin
Yu Sun Bin
TLTea Lallukka
Tea Lallukka
EKErkki Kronholm
Erkki Kronholm
DDDorothea Dumuid
Dorothea Dumuid
TOTim Stephen Olds
Tim Stephen Olds

17 May 2023 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Catherine PaquetCatherine Paquet
Catherine Paquet
JWJocelyne Whitehead
Jocelyne Whitehead
RSRishabh Shah
Rishabh Shah
AAAlayne Adams
Alayne Adams
DDDamion Dooley
Damion Dooley
LDLaurette Dube
Laurette Dube
Background: Social prescription programs represent a viable solution to linking primary care patients to nonmedical community resources for improving patient well-being. However, their success depends on the integration of patient needs with local resources. This integration could be accelerated by digital tools that use expressive ontology to organize knowledge resources, thus enabling the seamless navigation of diverse community interventions and services tailored to the needs of individual users. This infrastructure bears particular relevance for older adults, who experience a range of social needs that impact their health, including social isolation and loneliness. An essential first step in enabling knowledge mobilization and the successful implementation of social prescription initiatives to meet the social needs of older adults is to incorporate the evidence-based academic literature on what works, with on-the-ground solutions in the community.Objective: This study aims to integrate scientific evidence with on-the-ground knowledge to build a comprehensive list of intervention terms and keywords related to reducing social isolation and loneliness in older adults.Methods: A meta-review was conducted using a search strategy combining terms related to older adult population, social isolation and loneliness, and study types relevant to reviews using 5 databases. Review extraction included intervention characteristics, outcomes (social [eg, loneliness, social isolation, and social support] or mental health [eg, psychological well-being, depression, and anxiety]), and effectiveness (reported as consistent, mixed, or not supported). Terms related to identified intervention types were extracted from the reviewed literature as well as descriptions of corresponding community services in Montréal, Canada, available from web-based regional, municipal, and community data sources.Results: The meta-review identified 11 intervention types addressing social isolation and loneliness in older adults by either increasing social interactions, providing instrumental support, promoting mental and physical well-being, or providing home and community care. Group-based social activities, support groups with educational elements, recreational activities, and training or use of information and communication technologies were the most effective in improving outcomes. Examples of most intervention types were found in community data sources. Terms derived from the literature that were the most commonly congruent with those describing existing community services were related to telehealth, recreational activities, and psychological therapy. However, several discrepancies were observed between review-based terms and those addressing the available services.Conclusions: A range of interventions found to be effective at addressing social isolation and loneliness or their impact on mental health were identified from the literature, and many of these interventions were represented in services available to older residents in Montréal, Canada. However, different terms were occasionally used to describe or categorize similar services across data sources. Establishing an efficient means of identifying and structuring such sources is important to facilitate referrals and help-seeking behaviors of older adults and for strategic planning of resources.


1 August 2018 in Sleep Health
Verified
Journal Article
Closed access
LMLisa Matricciani
Lisa Matricciani
Yu Sun BinYu Sun Bin
Yu Sun Bin
TLTea Lallukka
Tea Lallukka
EKErkki Kronholm
Erkki Kronholm
MWMelissa Anne Wake
Melissa Anne Wake
TOTim Stephen Olds
Tim Stephen Olds

1 October 2013 in Landscape and Urban Planning
Verified
Journal Article
Closed access
Catherine PaquetCatherine Paquet
Catherine Paquet
TOThomas P. Orschulok
Thomas P. Orschulok
NCNeil T. Coffee
Neil T. Coffee
NNatasha Howard
Natasha Howard
GHGraeme Hugo
Graeme Hugo
MDMark Daniel
Mark Daniel