Cited by 12Health Promotion and Cardiovascular PreventionCardiac Health and Mental HealthCardiovascular Health and Risk Factors

Self-management support using advertising principles for older adults with low income at high cardiovascular risk: a randomized controlled trial

Open access
Campbell, David J.T., Tonelli, Marcello, Hemmelgarn, Brenda R., Faris, Peter, Zhang, Jianguo, Au, Flora, Tsuyuki, Ross T., Mitchell, Chad +7 more·2023·Circulation

Abstract

Background: Self-management education and support (SMES) interventions have modest effects on intermediate outcomes for those at risk of cardiovascular disease, but few studies have measured or demonstrated an effect on clinical end points. Advertising for commercial products is known to influence behavior, but advertising principles are not typically incorporated into SMES design. Methods: This randomized trial studied the effect of a novel tailored SMES program designed by an advertising firm among a population of older adults with low income at high cardiovascular risk in Alberta, Canada. The intervention included health promotion messaging from a fictitious “peer” and facilitated relay of clinical information to patients’ primary care provider and pharmacist. The primary outcome was the composite of death, myocardial infarction, stroke, coronary revascularization, and hospitalizations for cardiovascular-related ambulatory care–sensitive conditions. Rates of the primary outcome and its components were compared using negative binomial regression. Secondary outcomes included quality of life (EQ-5D [EuroQoL 5-dimension] index score), medication adherence, and overall health care costs. Results: We randomized 4761 individuals, with a mean age of 74.4 years, of whom 46.8% were female. There was no evidence of statistical interaction ( P =0.99) or of a synergistic effect between the 2 interventions in the factorial trial with respect to the primary outcome, which allowed us to evaluate the effect of each intervention separately. Over a median follow-up time of 36 months, the rate of the primary outcome was lower in the group that received SMES compared with the control group (incidence rate ratio, 0.78 [95% CI, 0.61 to 1.00]; P =0.047). No significant between-group changes in quality of life over time were observed (mean difference, 0.0001 [95% CI, −0.018 to 0.018]; P =0.99). The proportion of participants who were adherent to medications was not different between the 2 groups ( P =0.199 for statins and P =0.754 for angiotensin-converting enzyme inhibitors/angiotensin receptor blockers). Overall adjusted health care costs did not differ between those receiving SMES and the control group ($2015 [95% CI, −$1953 to $5985]; P =0.320). Conclusions: For older adults with low income, a tailored SMES program using advertising principles reduced the rate of clinical outcomes compared with usual care. The mechanisms of improvement are unclear and further studies are required. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02579655.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/circulationaha.123.064189

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 52

  1. [3]Rabi DM McBrien KA Sapir-Pichhadze R Nakhla M Ahmed SB Dumanski SM Butalia S Leung AA Harris KC Cloutier L. Hypertension Canada’s 2020 comprehensive guidelines for the prevention, diagnosis, risk assessment, and treatment of hypertension in adults and children. Can J Cardiol. 2020; 36: 596– 624. doi: 10.1016/j.cjca.2020.02.086 32389335 · DOI · Paper page
  2. [4]Campbell DJ Ronksley PE Manns BJ Tonelli M Sanmartin C Weaver RG Hennessy D King-Shier K Campbell T Hemmelgarn BR; Interdisciplinary Chronic Disease Collaboration. The association of income with health behavior change and disease monitoring among patients with chronic disease. PLoS One. 2014; 9: e94007. doi: 10.1371/journal.pone.0094007 24722618 PMC3983092 · DOI
  3. [6]Coupe N Cotterill S Peters S. Enhancing community weight loss groups in a low socioeconomic status area: application of the COM-B model and Behaviour Change Wheel. Health Expect. 2022; 25: 2043– 2055. doi: 10.1111/hex.13325 34350682 PMC9615060 · DOI
  4. [7]McEvoy CT Moore SE Appleton KM Cupples ME Erwin C Kee F Prior L Young IS McKinley MC Woodside JV. Development of a peer support intervention to encourage dietary behaviour change towards a Mediterranean diet in adults at high cardiovascular risk. BMC Public Health. 2018; 18: 1194. doi: 10.1186/s12889-018-6108-z 30348137 PMC6198381 · DOI
  5. [8]Warsi A Wang PS LaValley MP Avorn J Solomon DH. Self-management education programs in chronic disease: a systematic review and methodological critique of the literature. Arch Intern Med. 2004; 164: 1641– 1649. doi: 10.1001/archinte.164.15.1641 15302634 · DOI · Paper page
  6. [9]Rash JA Campbell DJ Tonelli M Campbell TS. A systematic review of interventions to improve adherence to statin medication: what do we know about what works? Prev Med. 2016; 90: 155– 169. doi: 10.1016/j.ypmed.2016.07.006 27413005 · DOI
  7. [10]Sherifali D Berard LD Gucciardi E MacDonald B MacNeill G; Diabetes Canada Clinical Practice Guidelines Expert Committee. Self-management education and support. Can J Diabetes. 2018; 42: S36– S41. doi: 10.1016/j.jcjd.2017.10.006 29650109 · DOI
  8. [11]Singh K Bawa VS Venkateshmurthy NS Gandral M Sharma S Lodhi S Wafford QE Patel SA Tandon N Narayan KMV. Assessment of studies of quality improvement strategies to enhance outcomes in patients with cardiovascular disease. JAMA Netw Open. 2021; 4: e2113375. doi: 10.1001/jamanetworkopen.2021.13375 34125220 PMC8204210 · DOI
  9. [12]Moreno-Palanco MA Ibanez-Sanz P Ciria-de Pablo C Pizarro-Portillo A Rodriguez-Salvanes F Suarez-Fernandez C. Impact of comprehensive and intensive treatment of risk factors concerning cardiovascular mortality in secondary prevention: MIRVAS Study. Rev Esp Cardiol. 2011; 64: 179– 185. doi: 10.1016/j.recesp.2010.07.009 21330034 · DOI
  10. [13]Park JH Tahk SJ Bae SH Son YJ. Effects of a psychoeducational intervention for secondary prevention in Korean patients with coronary artery disease: a pilot study. Int J Nurs Pract. 2013; 19: 295– 305. doi: 10.1111/ijn.12067 23730862 · DOI
  11. [14]Anderson L Brown JP Clark AM Dalal H Rossau HK Bridges C Taylor RS. Patient education in the management of coronary heart disease. Cochrane Database Syst Rev. 2017; 6: CD008895. doi: 10.1002/14651858.CD008895.pub3 28658719 PMC6481392 · DOI
  12. [15]Hershberger P Bricker D Conway K Torcasio M. Turning “lose-lose” into “win-win”: what is good for them is good for us! Med Sci Educ. 2021; 31: 1177– 1181. doi: 10.1007/s40670-021-01280-4 34457961 PMC8368257 · DOI
  13. [16]Fransen M Verlegh P Kirmani A Smit E. A typology of consumer strategies for resisting advertising, and a review of mechanisms for countering them. Int J Adv. 2015; 34: 6– 16.
  14. [17]Campbell DJ Tonelli M Hemmelgarn B Mitchell C Tsuyuki R Ivers N Campbell T Pannu R Verkerke E Klarenbach S. Assessing outcomes of enhanced chronic disease care through patient education and a value-based formulary study (ACCESS)-study protocol for a 2x2 factorial randomized trial. Implement Sci. 2016; 11: 131. doi: 10.1186/s13012-016-0491-6 27671037 PMC5037634 · DOI
  15. [18]Manns B Campbell D. Assessing Outcomes of Enhanced Chronic Disease Care Through Patient Education and a Value-based Formulary Study (ACCESS). ClinicalTrials.gov identifier: NCT02579655. Accessed December 14, 2022. https://clinicaltrials.gov/ct2/show/NCT02579655 PMC5037634 27671037
  16. [19]Manns BJ Tonelli M Zhang J Campbell DJ Sargious P Ayyalasomayajula B Clement F Johnson JA Laupacis A Lewanczuk R. Enrolment in primary care networks: impact on outcomes and processes of care for patients with diabetes. CMAJ. 2012; 184: E144– E152. doi: 10.1503/cmaj.110755 22143232 PMC3273535 · DOI
  17. [20]Fletcher J Saunders-Smith T Tsuyuki R Hemmelgarn B Tonelli M Campbell D. Pharmacist and patient perspectives on recruitment strategies for randomized controlled trials: a qualitative analysis. BMC Med Res Methodol. 2020; 20: 270. doi: 10.1186/s12874-020-01140-6 33129278 PMC7603682 · DOI
  18. [21]Kakumanu S Manns BJ Tran S Saunders-Smith T Hemmelgarn BR Tonelli M Tsuyuki R Ivers N Southern D Bakal J. Cost analysis and efficacy of recruitment strategies used in a large pragmatic community-based clinical trial targeting low-income seniors: a comparative descriptive analysis. Trials. 2019; 20: 577. doi: 10.1186/s13063-019-3652-5 31590686 PMC6781395 · DOI
  19. [24]Horne R Weinman J Hankins M. The beliefs about medicines questionnaire: the development and evaluation of a new method for assessing the cognitive representation of medication. Psychol Health. 1999; 14: 1– 24.
  20. [26]Hemmelgarn BR Clement F Manns BJ Klarenbach S James MT Ravani P Pannu N Ahmed SB MacRae J Scott-Douglas N. Overview of the Alberta Kidney Disease Network. BMC Nephrol. 2009; 10: 1– 7. 19840369 PMC2770500
  21. [27]Hemmelgarn BR Manns BJ Lloyd A James MT Klarenbach S Quinn RR Wiebe N Tonelli M; Alberta Kidney Disease Network. Relation between kidney function, proteinuria, and adverse outcomes. JAMA. 2010; 303: 423– 429. doi: 10.1001/jama.2010.39 20124537 · DOI
  22. [28]Hemmelgarn BR James MT Manns BJ O’Hare AM Muntner P Ravani P Quinn RR Turin TC Tan Z Tonelli M; Alberta Kidney Disease Network. Rates of treated and untreated kidney failure in older vs younger adults. JAMA. 2012; 307: 2507– 2515. doi: 10.1001/jama.2012.6455 22797451 · DOI
  23. [29]Hemmelgarn BR Zhang JG Manns BJ James MT Quinn RR Ravani P Klarenbach SW Culleton BF Krause R Thorlacius L; Alberta Kidney Disease Network. Nephrology visits and health care resource use before and after reporting estimated glomerular filtration rate. JAMA. 2010; 303: 1151– 1158. doi: 10.1001/jama.2010.303 20332400 · DOI
  24. [30]Tonelli M Muntner P Lloyd A Manns BJ Klarenbach S Pannu N James MT Hemmelgarn BR; Alberta Kidney Disease Network. Risk of coronary events in people with chronic kidney disease compared with those with diabetes: a population-level cohort study. Lancet. 2012; 380: 807– 814. doi: 10.1016/S0140-6736(12)60572-8 22717317 · DOI
  25. [31]Manns B Tonelli M Culleton B Faris P McLaughlin K Chin R Gooch K McAlister FA Taub K Thorlacius L; Alberta Kidney Disease Network. A cluster randomized trial of an enhanced eGFR prompt in chronic kidney disease. Clin J Am Soc Nephrol. 2012; 7: 565– 572. doi: 10.2215/cjn.12391211 22344504 PMC3315340 · DOI
  26. [32]Tonelli M Wiebe N Fortin M Guthrie B Hemmelgarn BR James MT Klarenbach SW Lewanczuk R Manns BJ Ronksley P; Alberta Kidney Disease Network. Methods for identifying 30 chronic conditions: application to administrative data. BMC Med Inform Decis. 2015; 15: 1– 11. PMC4415341 25886580
  27. [34]Gao S Manns BJ Culleton BF Tonelli M Quan H Crowshoe L Ghali WA Svenson LW Ahmed S Hemmelgarn BR; Alberta Kidney Disease Network. Access to health care among status Aboriginal people with chronic kidney disease. CMAJ. 2008; 179: 1007– 1012. doi: 10.1503/cmaj.080063 18981441 PMC2572655 · DOI
  28. [35]Pearson GJ Thanassoulis G Anderson TJ Barry AR Couture P Dayan N Francis GA Genest J Gregoire J Grover SA. 2021 Canadian Cardiovascular Society guidelines for the management of dyslipidemia for the prevention of cardiovascular disease in adults. Can J Cardiol. 2021; 37: 1129– 1150. doi: 10.1016/j.cjca.2021.03.016 33781847 · DOI
  29. [36]Choudhry NK Shrank WH Levin RL Lee JL Jan SA Brookhart MA Solomon DH. Measuring concurrent adherence to multiple related medications. Am J Manag Care. 2009; 15: 457– 464. 19589013 PMC2873865
  30. [37]Nau DP. Proportion of days covered (PDC) as a preferred method of measuring medication adherence. Accessed January 10, 2023. https://www.researchgate.net/publication/273505401_Cost-effectiveness_Analysis_of_LDL_cholesterol-Lowering_Therapy_in_Hypertensive_Patients_with_Type-2_Diabetes_in_Korea_Single-Pill_Regimen_AmlodipineAtorvastatin_versus_Double-Pill_Regimen_Amlodipine_/fulltext/55d8d67908aed6a199a88e96/Cost-effectiveness-Analysis-of-LDLcholesterol-Lowering-Therapy-in-Hypertensive-Patients-with-Type-2-Diabetes-in-Korea-Single-Pill-Regimen-Amlodipine-Atorvastatin-versus-Double-Pill-Regimen-Amlodipine.pdf.
  31. [38]Karve S Cleves MA Helm M Hudson TJ West DS Martin BC. Good and poor adherence: optimal cut-point for adherence measures using administrative claims data. Curr Med Res Opin. 2009; 25: 2303– 2310. doi: 10.1185/03007990903126833 19635045 · DOI · Paper page
  32. [39]Janssen MF Lubetkin EI Sekhobo JP Pickard AS. The use of the EQ-5D preference-based health status measure in adults with Type 2 diabetes mellitus. Diabet Med. 2011; 28: 395– 413. doi: 10.1111/j.1464-5491.2010.03136.x 21392061 · DOI
  33. [40]Sach TH Barton GR Doherty M Muir KR Jenkinson C Avery AJ. The rel ationship between body mass index and health-related quality of life: comparing the EQ-5D, EuroQol VAS and SF-6D. Int J Obes (Lond). 2007; 31: 189– 196. doi: 10.1038/sj.ijo.0803365 16682976 · DOI
  34. [41]Culleton BF Walsh M Klarenbach S Mortis G Scott-Douglas N Quinn R Tonelli M Donelly S Friedrich MG Kumar A. Effect of frequent nocturnal hemodialysis vs conventional hemodialysis on left ventricular mass and quality of life: a randomized controlled trial. JAMA. 2007; 298: 1291– 1299. doi: 10.1001/jama.298.11.1291 17878421 · DOI
  35. [42]Bansback N Tsuchiya A Brazier J Anis A. Canadian valuation of EQ-5D health states: preliminary value set and considerations for future valuation studies. PLoS One. 2012; 7: e31115. doi: 10.1371/journal.pone.0031115 22328929 PMC3273479 · DOI
  36. [43]Weaver CG Ravani P Oliver MJ Austin PC Quinn RR. Analyzing hospitalization data: potential limitations of Poisson regression. Nephrol Dial Transplant. 2015; 30: 1244– 1249. doi: 10.1093/ndt/gfv071 25813274 · DOI
  37. [44]Grouin JM Day S Lewis J. Adjustment for baseline covariates: an introductory note. Stat Med. 2004; 23: 697– 699. doi: 10.1002/sim.1646 14981669 · DOI
  38. [45]Benjamini Y Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B. 1995; 57: 289– 300.
  39. [46]Fine J Gray R. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999; 94: 469– 509.
  40. [47]van Buuren S Boshuizen HC Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Stat Med. 1999; 18: 681– 694. doi: 10.1002/(sici)1097-0258(19990330)18:6<681::aid-sim71>3.0.co;2-r 10204197 · DOI · Paper page
  41. [48]Harrell FE. Ordinal logistic regression. Harrell FE, ed. In: Regression Modeling Strategies. Springer; 2015: 311– 325.
  42. [49]Campbell DJT Tonelli M Hemmelgarn B Mitchell C Tsuyuki R Ivers N Campbell T Pannu R Verkerke E Klarenbach S; Interdisciplinary Chronic Disease Collaboration. Assessing outcomes of enhanced chronic disease care through patient education and a value-based formulary study (ACCESS): study protocol for a 2x2 factorial randomized trial. Implement Sci. 2016; 11: 1– 10. 27671037 PMC5037634
  43. [50]Signorini D. Sample size for Poisson regression. Biometrika. 1991; 78: 446– 450.
  44. [51]Morris NS MacLean CD Chew LD Littenberg B. The Single Item Literacy Screener: evaluation of a brief instrument to identify limited reading ability. BMC Fam Pract. 2006; 7: 21. doi: 10.1186/1471-2296-7-21 16563164 PMC1435902 · DOI
  45. [53]Arambepola C Ricci-Cabello I Manikavasagam P Roberts N French DP Farmer A. The impact of automated brief messages promoting lifestyle changes delivered via mobile devices to people with type 2 diabetes: a systematic literature review and meta-analysis of controlled trials. J Med Internet Res. 2016; 18: e86. doi: 10.2196/jmir.5425 27095386 PMC4873307 · DOI
  46. [55]Dracup K McKinley S Riegel B Moser DK Meischke H Doering LV Davidson P Paul SM Baker H Pelter M. A randomized clinical trial to reduce patient prehospital delay to treatment in acute coronary syndrome. Circ Cardiovasc Qual Outcomes. 2009; 2: 524– 532. doi: 10.1161/CIRCOUTCOMES.109.852608 20031889 PMC2802063 · DOI
  47. [56]Wick J Campbell DJT McAlister FA Manns BJ Tonelli M Beall RF Hemmelgarn BR Stewart A Ronksley PE. Identifying subgroups of adult high-cost health care users: a retrospective analysis. CMAJ Open. 2022; 10: E390– E399. doi: 10.9778/cmajo.20210265 PMC9022936 35440486 · DOI
  48. [57]Guilcher SJ Bronskill SE Guan J Wodchis WP. Who are the high-cost users? A method for person-centred attribution of health care spending. PLoS One. 2016; 11: e0149179. doi: 10.1371/journal.pone.0149179 26937955 PMC4777563 · DOI
  49. [59]Turk T Ewing M Newton F. Using ambient media to promote HIV/AIDS protective behaviour change. Int J Adv. 2006; 25: 333– 359.
  50. [60]Campbell DJT Saunders-Smith T Manns BJ Tonelli M Ivers N Hemmelgarn BR Tsuyuki RT Pannu R King-Shier K. Exploring patient and pharmacist perspectives on complex interventions for cardiovascular prevention: a qualitative descriptive process evaluation. Health Expect. 2020; 23: 1485– 1501. doi: 10.1111/hex.13133 33047417 PMC7752191 · DOI
  51. [61]Tran SHN Weaver RG Manns BJ Saunders-Smith T Campbell T Ivers N Hemmelgarn BR Tonelli M Pannu R Campbell DJT. Factors affecting the reception of self-management health education: a cross-sectional survey assessing perspectives of lower-income seniors with cardiovascular conditions. Patient Prefer Adherence. 2022; 16: 971– 981. doi: 10.2147/PPA.S351459 35422615 PMC9005130 · DOI
  52. [62]Kuo CC Lin CC Tsai FM. Effectiveness of empowerment-based self-management interventions on patients with chronic metabolic diseases: a systematic review and meta-analysis. Worldviews Evid Based Nurs. 2014; 11: 301– 315. doi: 10.1111/wvn.12066 25327253 · DOI

Cited by

Sorted by citations

Authors
Campbell, D. J. T., Tonelli, M., Hemmelgarn, B. R., Faris, P., Zhang, J., Au, F., Tsuyuki, R. T., Mitchell, C., Pannu, R., Campbell, T., Ivers, N., Fletcher, J., Exner, D. V., Manns, B. J., & for the Interdisciplinary Chronic Disease Collaboration
Affiliations
  • University of Calgary (CA)
  • University of Alberta (CA)
  • Alberta Health Services (CA)
  • Government of Alberta (CA)
  • Emergence Creative, New York, NY (R.P.).
  • University of Toronto (CA)
Corresponding author
Manns, Braden J.
Venue
Circulation
Published
2023-05-16
Volume
147
Issue
20
Pages
1492-1504
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W4323255494
Cited by
12
References
6
Citations by year
2026: 6 · 2025: 2 · 2024: 1 · 2023: 3
FWCI
3.07
Type
journal article
Language
en
Open access
Locations
  • Circulation (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
  • Canadian Institutes of Health Research (201509-FDN-353640)
  • Alberta Innovates
  • University of Calgary, Clinical Research Fund
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
self-management education, cardiovascular risk, advertising principles, older adults, low income, medication adherence, statins, ACE inhibitors, angiotensin receptor blockers, cardiovascular events, health care costs, quality of life, pharmacist referral, primary care referral, health behavior change, factorial trial
MeSH terms
Self-Management, Heart Disease Risk Factors, Advertising, Aged, Alberta, Cardiovascular Diseases, Female, Humans, Male, Quality of Life, Risk Factors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review