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The Patient Activation Measure (PAM) and the pandemic

Predictors of patient activation among Australian health consumers during the Covid‐19 pandemic

Bibliographic Data

ID19506963
AuthorsGenevieve Dammery (0000-0002-8188-712X, Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation Macquarie University Sydney Australia, corresponding author), Kathryn Vitangcol (0000-0002-6279-8033, NHMRC Partnership Centre for Health System Sustainability Macquarie University Sydney Australia), James Ansell (0000-0001-5813-0623, Consumers Health Forum of Australia Deakin West Australian Capital Territory Australia), Louise A Ellis (0000-0001-6902-4578, Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation Macquarie University Sydney Australia), Carolynn L Smith (0000-0003-4377-5490, Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation Macquarie University Sydney Australia), Ann Carrigan (0000-0002-2525-9241, Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation Macquarie University Sydney Australia), Jeffrey Braithwaite (0000-0003-0296-4957, Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation Macquarie University Sydney Australia), Yvonne Zurynski (0000-0001-7744-8717, Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation Macquarie University Sydney Australia)
Year2023
Volume26
Issue3
Pages1107-1117
Publication date2023-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHealth Expectations (JOURNAL)
Journal identifiersISSN: 1369-6513 • E-ISSN: 1369-7625
PublisherWiley (PUBLISHER • GB)
DOI10.1111/hex.13725
PMID36810854
OpenAlexW4321499309
LanguageEN
Citations received3
References cited35

BACKGROUND: Preventative healthcare is crucial for improving individual patient outcomes and is integral to sustainable health systems. The effectiveness of prevention programs is enhanced by activated populations who are capable of managing their own health and are proactive to keep themselves well. However, little is known about the level of activation among people drawn from general populations. We used the Patient Activation Measure (PAM) to address this knowledge gap. METHODS: A representative, population-based survey of Australian adults was conducted in October 2021 during the Delta strain outbreak of the COVID-19 pandemic. Comprehensive demographic information was collected, and the participants completed the Kessler-6 psychological distress scale (K6) and PAM. Multinomial and binomial logistic regression analyses were performed to determine the effect of demographic factors on PAM scores, which are categorised into four levels: 1-participants disengaged with their health; 2-becoming aware of how to manage their health; 3-acting on their health; and 4-engaging with preventative healthcare and advocating for themselves. RESULTS: Of 5100 participants, 7.8% scored at PAM level 1; 13.7% level 2, 45.3% level 3, and 33.2% level 4. The mean score was 66.1, corresponding to PAM level 3. More than half of the participants (59.2%) reported having one or more chronic conditions. Respondents aged 18 to 24 years old were twice as likely to score PAM level 1 compared with people aged 25-44 (p < .001) or people aged over 65 years (p < .05). Speaking a language other than English at home was significantly associated with having low PAM (p < .05). Greater psychological distress scores (K6) were significantly predictive of low PAM scores (p < .001). CONCLUSION: Overall, Australian adults showed high levels of patient activation in 2021. People with lower incomes, of younger age, and those experiencing psychological distress were more likely to have low activation. Understanding the level of activation enables targeting sociodemographic groups for extra support to increase the capacity to engage in prevention activities. Conducted during the COVID-19 pandemic, our study provides a baseline for comparison as we move out of the pandemic and associated restrictions and lockdowns. PATIENT OR PUBLIC CONTRIBUTION: The study and survey questions were co-designed with consumer researchers from the Consumers Health Forum of Australia (CHF) as equal partners. Researchers from CHF were involved in the analysis of data and production of all publications using data from the consumer sentiment survey

Disease · Distress · Environmental health · Family medicine · Health care · Logistic regression · Multinomial logistic regression · Pandemic · Population · Cancer survivorship and care · Clinical Psychology · Demography · Diabetes Management and Education · Medicine · Patient Satisfaction in Healthcare · Psychology · Gerontology

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Unique citing works3
Citations per year1
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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