Cancer survivors as activated patients: Exploring the relationship between cancer history and patient activation

Bernat, Jennifer K.; Coa, Kisha; Blanch‐Hartigan, Danielle

doi:10.1080/07347332.2016.1265624

Cited by 7 publications

(9 citation statements)

References 21 publications

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“…Although we did not observe differences among smokers versus non-smokers with respect to searching for health information online, our findings are consistent with prior studies that have reported widespread use of the internet among smokers [ 35 , 39 ]. Consistent with prior studies, we observed increased HRIU among individuals with a personal or family history of cancer, compared to those without [ 36 , 37 , 38 , 68 , 69 ]. These findings highlight the potential for eHealth and mHealth-based interventions to target the unique needs of cancer survivors [ 36 , 70 ].…”

Section: Discussionsupporting

confidence: 91%

Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey

Calixte

Rivera

Oridota

et al. 2020

IJERPH

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National surveys of U.S. adults have observed significant increases in health-related internet use (HRIU), but there are documented disparities. The study aims to identify social and demographic patterns of health-related internet use among U.S. adults. Using data from the Health Information National Trends Survey (HINTS) 4 cycle 3 and HINTS 5 cycle 1, we examined HRIU across healthcare, health information seeking, and participation on social media. Primary predictors were gender, race/ethnicity, age, education, income, and nativity with adjustments for smoking and survey year. We used multivariable logistic regression with survey weights to identify independent predictors of HRIU. Of the 4817 respondents, 43% had used the internet to find a doctor; 80% had looked online for health information. Only 20% had used social media for a health issue; 7% participated in an online health support group. In multivariable models, older and low SES participants were significantly less likely to use the internet to look for a provider, use the internet to look for health information for themselves or someone else, and less likely to use social media for health issues. Use of the internet for health-related purposes is vast but varies significantly by demographics and intended use.

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Section: Discussionsupporting

confidence: 91%

Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey

Calixte

Rivera

Oridota

et al. 2020

IJERPH

View full text Add to dashboard Cite

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“…This is a thirteen‐item instrument that measures knowledge, skills and confidence to self‐manage. It has been widely used internationally to measure self‐management in people living with cancer 37–39 …”

Section: Methodsmentioning

confidence: 99%

“…It has been widely used internationally to measure self-management in people living with cancer. [37][38][39] Based on the responses to the 13 items each participant receives a PAM-13 score that can range from 0 to 100 with higher scores indicative of higher activation. The individual PAM-13 scores can be categorised into one of four levels of activation which represent a developmental progression from being passive with regard to one's health to being highly proactive about self-management.…”

Section: Self-managementmentioning

confidence: 99%

A rural‐urban comparison of self‐management in people living with cancer following primary treatment: A mixed methods study

et al. 2022

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Objective: To investigate and compare self-management in people living with cancer following treatment, from rural and urban areas in the United Kingdom where there is a significant evidence gap. Methods:A cross-sectional explanatory sequential mixed methods design. This involved a self-completion questionnaire that collected data on demographics, self-management using the PAM-13 and rural-urban residence and 34 in-depth interviews that aimed to explore and compare the barriers and facilitators to selfmanagement in rural and urban settings.Results: 227 participants completed the questionnaire: mean age 66.86 (�11.22).Fifty-two percent (n = 119) were female and 48% (n = 108) were male. Fifty-three percent (n = 120) resided in urban areas and 45 % (n = 103) in rural areas. Participants had a range of different types of cancer but the three most common were breast (n = 73), urological (n = 53), upper and lower gastrointestinal (n = 41). Rural respondents (63.31 � 13.66) were significantly (p < 0.05) more activated than those in urban areas (59.59 � 12.75). The barriers and facilitators to self-management identified in the interviews were prevalent in both rural and urban settings but some barriers were more explicit in rural settings. For example, there was a lack of bespoke support in rural areas and participants acknowledged how travelling long distances to urban centres for support groups was problematic. Equally, there were barriers and facilitators that were not necessarily unique to either geographic setting. Conclusion:Whilst the active treatment phase can present considerable challenges for people living with cancer in rural areas the findings suggest that the rural environment has the potential to increase engagement with self-management in the transition to survivorship. The rigorous mixed methods design has led to different and complementary conclusions that would not have been possible had either quantitative or qualitative methods been used in isolation.

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“…Females (aged 18 years or over) newly diagnosed with early stage breast cancer as a first primary diagnosis will be eligible to take part. Eligibility was restricted to early stage and first primary diagnoses as metastatic patients may have confounding care and psychosocial experiences and patient activation naturally increases with time after a breast cancer diagnosis [22]. Patients must complete the baseline measure before starting anticancer treatment.…”

Section: Participantsmentioning

confidence: 99%

Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)

Lidington

McGrath

Noble

et al. 2020

Trials

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Background: There are a growing number of mHealth tools for breast cancer patients but a lack of scientific evidence for their effects. Recent studies have shown a mix of positive and negative impacts on users. Here we will assess the impact of OWise Breast Cancer, a mobile application for self-monitoring symptoms and managing care, on the process of self-management. Methods: This randomized controlled trial with early stage breast cancer patients will assess the effect of OWise use on patient activation at 3 months from diagnosis measured by the PAM-13 questionnaire. We will also assess differences in changes in health-related quality of life, psychological distress, health status, and National Health Service (NHS) health resource utilization over the first year from diagnosis. Participants will be randomly allocated (1:1) to standard care or standard care plus OWise. Participants will complete questionnaires before starting anti-cancer treatment and at 3, 6, and 12 months from diagnosis. Clinical and patient-reported outcome data will be linked to health resource utilization data from Discover, an integrated care record of primary, secondary, and social care in North West London. We will measure contamination in the control group and adjust the sample size to mitigate the dilution of effect estimates. A per-protocol analysis will be conducted as a sensitivity analysis to assess robustness of the primary results. Discussion: This study aims to generate evidence for the effectiveness of OWise at improving patient activation for women with early-stage breast cancer. The results will show the impact of using the tool at the patient level and the NHS health system level. The outcomes of the study will have implications for the application of OWise across the NHS for breast cancer patients and expansion into other tumor types. Assessing publicly available mHealth tools poses a challenge to trialists due to the risk of contamination. Here we apply various methods to measure, mitigate, and assess the effects of contamination. Trial registration: The study was registered at clincaltrials.gov (NCT03866655) on 7 March 2019.

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Cancer survivors as activated patients: Exploring the relationship between cancer history and patient activation

Cited by 7 publications

References 21 publications

Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey

Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey

A rural‐urban comparison of self‐management in people living with cancer following primary treatment: A mixed methods study

Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)

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