Establishing a Research Agenda on Mobile Health Technologies and Later-Life Pain Using an Evidence-Based Consensus Workshop Approach

Wethington, Elaine; Eccleston, Christopher; Gooberman‐Hill, Rachael; Schofield, Patricia; Bacon, Liz; Dombrowski, Wen; Jamison, Robert N.; Rothman, Max; Meador, Lauren; Kenien, Cara; Pillemer, Karl; Löckenhoff, Corinna E.; Reid, M. Carrington

doi:10.1016/j.jpain.2018.06.006

Cited by 13 publications

(14 citation statements)

References 23 publications

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“…Future pain app development work should consider a co-design approach involving academic experts in pain self-management, experts in technology implementation, primary and allied health clinicians, and older people to ensure the app is rigorously built, while also being relevant and effective. These recommendations agree with the newly published report [52] outlining athe research agenda on mHealth technology for chronic pain management in older adultsthe elderly.…”

Section: Implication For Research and Developmentsupporting

confidence: 77%

Apps for Older People’s Pain Self-Management: Perspectives of Primary Care and Allied Health Clinicians

Bhattarai

Newton‐John²,

Phillips

2019

Pain Medicine

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Background Chronic arthritic pain is one of the major causes of physical suffering and disability among older people. Primary care and allied health clinicians use various approaches to help their older clients better manage their arthritic pain. The growing uptake of technology among older people offers the potential for clinicians to integrate an arthritic pain app into their patients’ self-management plans. This study explored the perspectives of Australian primary care and allied health clinicians regarding the use of pain self-management apps to help their older patients/clients better manage their arthritic pain. Methods Qualitative design using a semistructured interview approach. Interviews were conducted via telephone with primary and allied health clinicians (N = 17) across Australia. Results The overarching theme underlying participants’ views on integration of apps into older people’s pain self-management strategy was that this approach is an idealistic but uniquely challenging endeavor. Four subthemes emerged, namely: 1) self-management apps are a potentially useful tool but require careful consideration; 2) clinicians’ involvement is crucial yet potentially onerous; 3) no single app is right for every older person with arthritic pain; and 4) patient data access is beneficial, but caution is needed for real-time data access. Discussion The predominant clinician perspective of integrating apps into their older patients/clients’ pain self-management strategies was that this approach is an idealistic but uniquely challenging endeavor. Apps were seen as having potential to support various aspects of patients’ self-management behaviors; however, there were notable concerns with regards to the challenges inherent in this approach for both clinicians and older users (patients/clients).

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Section: Implication For Research and Developmentsupporting

confidence: 77%

Apps for Older People’s Pain Self-Management: Perspectives of Primary Care and Allied Health Clinicians

Bhattarai

Newton‐John²,

Phillips

2019

Pain Medicine

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“…Factors that were shown to be associated with loneliness were included in multivariable models, where all the selected variables were entered simultaneously. Estimates derived from Cox regressions are presented in graphical format showing hazard ratios [21] and 95% CI. Statistical analyses were performed using SPSS, Windows version 25.0 (SPSS Inc., Chicago, IL, USA) and graphics were produced using R version 3.4.3 (The R Foundation for Statistical Computing).…”

Section: Discussionmentioning

confidence: 99%

“…Leisure time physical activity was defined as moderate/regular versus inactive. Alcohol consumption was measured with questions regarding weekly consumption of beer, wine, and spirits in centiliters [21] during the past month. Based on these volumes, average weekly grams of alcohol consumption were calculated using conversion factors based on average alcohol concentration by volume (spirits 1 cl = 3 g, wine 1 cl = 1 g, beer > 3.5% 1 cl = 1/3 g).…”

Section: Other Covariatesmentioning

confidence: 99%

Cardiovascular and all-cause mortality attributable to loneliness in older Swedish men and women

et al. 2020

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Background: This study examined whether loneliness predicts cardiovascular-and all-cause mortality in older men and women. Methods: Baseline data from the Gothenburg H70 Birth Cohort Studies, collected during 2000 on 70-year-olds born 1930 and living in Gothenburg were used for analysis (n = 524). Mortality data were analyzed until 2012 through Swedish national registers. Results: Perceived loneliness was reported by 17.1% of the men and 30.9% of the women in a face-to-face interview with mental health professional. A total of 142 participants died during the 12-year follow-up period, with 5334 person-years at risk, corresponding to 26.6 deaths/1000 person-years. Cardiovascular disease accounted for 59.2% of all deaths. The cumulative rates/1000 person-years for cardiovascular mortality were 20.8 (men) and 11.5 (women), and for all-cause mortality 33.8 (men) and 20.5 (women), respectively. In Cox regression models, no significant increased risk of mortality was seen for men with loneliness compared to men without loneliness (cardiovascular mortality HR 1.52, 95% CI 0.78-2.96; all-cause HR 1.32, 95% CI 0.77-2.28). Increased risk of cardiovascular mortality was observed in women with loneliness compared to those without (HR 2.25 95% CI 1.14-4.45), and the risk remained significant in a multivariable-adjusted model (HR 2.42 95% CI 1.04-5.65). Conclusions: Loneliness was shown to be an independent predictor of cardiovascular mortality in women. We found no evidence to indicate that loneliness was associated with an increased risk of either cardiovascular-or allcause mortality in men.

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“…The four categories were then merged into a dichotomous variable as 0 = not lonely (responses 1-2), and 1 = lonely (responses 3-4). wine, and spirits in centiliters [21] during the past month. Based on these volumes, average weekly grams of alcohol consumption were calculated using conversion factors based on average alcohol concentration by volume (spirits 1 cl = 3 g, wine 1 cl = 1 g, beer >3.5% 1 cl= 1/3 g).…”

Section: Assessment Of Lonelinessmentioning

confidence: 99%

Cardiovascular and all-cause mortality attributable to loneliness in older Swedish men and women.

Novak

waern

Johansson

et al. 2020

Preprint

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Background. This study examined whether loneliness predicts cardiovascular- and all-cause mortality in older men and women. Methods. Baseline data from the Gothenburg H70 Birth Cohort Studies, collected during 2000 on 70-year-olds born 1930 and living in Gothenburg were used for analysis (n=524). Mortality data were analyzed until 2012 through Swedish national registers. Results. Perceived loneliness was reported by 17.1% of the men and 30.9% of the women in a face-to-face interview with mental health professional. A total of 142 participants died during the 12-year follow-up period, with 5 334 person-years at risk, corresponding to 26.6 deaths/1000 person-years. Cardiovascular disease accounted for 59.2% of all deaths. The cumulative rates/1000 person-years for cardiovascular mortality were 20.8 (men) and 11.5 (women), and for all-cause mortality 33.8 (men) and 20.5 (women), respectively. In Cox regression models, no significant increased risk of mortality was seen for men with loneliness compared to men without loneliness (cardiovascular mortality HR 1.52, 95% CI 0.78 - 2.96; all-cause HR 1.32, 95% CI 0.77 - 2.28). Increased risk of cardiovascular mortality was observed in women with loneliness compared to those without (HR 2.25 95% CI 1.14 - 4.45), and the risk remained significant in a multivariable-adjusted model (HR 2.42 95% CI 1.04 - 5.65). Conclusions. Loneliness was shown to be an independent predictor of cardiovascular mortality in women. We found no evidence to indicate that loneliness was associated with an increased risk of either cardiovascular- or all-cause mortality in men.

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Establishing a Research Agenda on Mobile Health Technologies and Later-Life Pain Using an Evidence-Based Consensus Workshop Approach

Cited by 13 publications

References 23 publications

Apps for Older People’s Pain Self-Management: Perspectives of Primary Care and Allied Health Clinicians

Apps for Older People’s Pain Self-Management: Perspectives of Primary Care and Allied Health Clinicians

Cardiovascular and all-cause mortality attributable to loneliness in older Swedish men and women

Cardiovascular and all-cause mortality attributable to loneliness in older Swedish men and women.

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