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Research

The effectiveness of a proven chronic disease prevention and screening intervention in diverse and remote primary care settings: an implementation study on the BETTER 2 Program

Kris Aubrey-Bassler, Carolina Fernandes, Carla Penney, Richard Cullen, Christopher Meaney, Nicolette Sopcak, Denise Campbell-Scherer, Rahim Moineddin, Julia Baxter, Paul Krueger, Margo Wilson, Andrea Pike, Eva Grunfeld and Donna Manca
BJGP Open 2019; 3 (3): bjgpopen19X101656. DOI: https://doi.org/10.3399/bjgpopen19X101656
Kris Aubrey-Bassler
1 Director, Primary Healthcare Research Unit, Memorial University of Newfoundland, St. John’s, Canada
MSc, MD, FCFP
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  • For correspondence: kaubrey{at}mun.ca
Carolina Fernandes
2 Lead Coordinator, Department of Family Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
MA, MSc
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Carla Penney
3 Research Coordinator, Primary Healthcare Research Unit, Memorial University of Newfoundland, St. John's, Canada
BSc (Hons), MSc
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  • ORCID record for Carla Penney
Richard Cullen
4 Research Coordinator, Primary Healthcare Research Unit, Memorial University of Newfoundland, St. John's, Canada
BSc
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Christopher Meaney
5 Biostatistician, Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
MSc
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Nicolette Sopcak
6 Qualitative Research Lead, Department of Family Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
MA, MC, CCC, PhD(HEcol)
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Denise Campbell-Scherer
7 Professor, Department of Family Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
MD, PhD, CCFP, FCFP
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Rahim Moineddin
8 Professor, Department of Family & Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
PhD
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Julia Baxter
9 Research Program Coordinator, Department of Family & Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
BA
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Paul Krueger
10 Associate Professor, Department of Family & Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
PhD
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Margo Wilson
11 Clinical Assistant Professor of Emergency Medicine, Discipline of Emergency Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
MD, CCFP(EM)
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Andrea Pike
12 Research Manager, Primary Healthcare Research Unit, Memorial University of Newfoundland, St. John's, Canada
MSc
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Eva Grunfeld
8 Professor, Department of Family & Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
13 Director, Knowledge Translation Research, Health Services Research Program, Ontario Institute for Cancer Research, Toronto, Canada
MD, DPhil, FCFP
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Donna Manca
14 Professor and Director of Research, Department of Family Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
MD, MClSc, FCFP
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Article Figures & Data

Tables

  • ToolDescription
    The BETTER Health SurveyA survey including validated a tools to capture alcohol use, diet, physical activity, smoking, family history, and demographic information. Designed to be completed by patients before the prevention visit.
    The BETTER Care MapCombines all the evidence on CDPS actions, providing their associated targets and corresponding care paths. Designed to be used by the PP to assist with decision-making.
    The Spaghetti DiagramPreviously published diagram illustrating the interrelation of various lifestyle factors and disease risk. Designed to be used by the PP to assist with patient education.
    The Bubble DiagramA visual representation of the BETTER algorithm containing sex-specific prevention and screening targets. Designed to be used by the PP to assist with patient education about disease risk factors.
    The BETTER Prevention PrescriptionA summary of the patient’s risk for chronic disease and their discussion with the PP. Contains the Goals Sheet on the reverse. Designed to be used by the PP for patient information.
    The BETTER Goals SheetContains three prevention goals set by the patient with the support and guidance of the PP. Designed as a patient motivation and planning tool.
    • CDPS = chronic disease prevention and screening. PP = prevention practitioner.

    • ↵ awhere possible

    • View popup
    Table 1. Selected baseline characteristics of the BETTER trial and BETTER 2 participants
    BETTER trialaBETTER 2
    Characteristicn = 209Remotebn = 57Ruralbn = 23Urbanbn = 74Totaln = 154
    Female, n (%) 138 (66)41 (72)20 (87)58 (78)119 (77)
    Mean a ge , years (SD) 53 (6.7)55 (6.7)57 (6.7)56 (7.0)56 (6.8)
    Ethnic group, n (%)
    European184 (88)22 (39)16 (94)65 (88)103 (67)
    Indigenous2 (1)28 (49)0 (0)0 (0)28 (18)
    Other23 (11) c c c 5 (3)
    Citizenship, n (%)
    Canadian161 (77)56 (98)23 (100)67 (91)146 (95)
    Other48 (23) c c 7 (10)8 (5)
    Education, n (%)
    High school or lower25 (12)3 (5)14 (61)5 (7)22 (14)
    Some college/university144 (69)46 (81)8 (35)46 (62)100 (65)
    Graduate degree40 (19) c c 21 (29)29 (19)
    Employment, n (%)
    Fully employed140 (67)34 (60)6 (26)44 (60)84 (55)
    Retired10 (5)10 (18)7 (30)17 (23)34 (22)
    Other59 (28)13 (23)9 (39)12 (16)34 (22)
    Married or c ommon l aw, n (%) 155 (74)47 (82)21 (91)54 (73)122 (79)
    Income, n (%)
    <$60 00040 (19)7 (12)10 (53)19 (26)36 (23)
    $60 000–$99 99965 (31)17 (30)7 (37)15 (20)39 (25)
    ≥$100 000104 (50)23 (40)2 (11)30 (41)55 (36)
    Current s moker , n (%) 31 (15)10 (18)1 (4)6 (8)17 (11)
    Alcohol c onsumption , n (%)
    Never31 (15)8 (14)5 (23)13 (18)26 (17)
    Less than weekly100 (48)36 (63)10 (43)27 (37)73 (47)
    Weekly or more77 (37)13 (23)7 (30)33 (45)53 (35)
    Exercise, n (%):
    <150 minutes/week169 (81)39 (68)12 (52)33 (45)84 (55)
    ≥150 minutes/week40 (19)18 (32)11 (48)41 (55)70 (45)
    Mean BMI (SD) 26 (5.8)33 (6.2)31 (4.2)30 (5.6)31 (5.7)
    BMI ≥30, n (%)52 (25)35 (61)13 (57)34 (46)82 (53)
    Mean w aist c irc , cm (SD) 108 (4)102 (14)108 (10)99 (13)101 (13)
    Diabetes m ellitus , n (%) 15 (7)11 (19)1 (4.8)10 (14)14 (9)
    Coronary a rtery d is ease , n (%) 10 (5)11 (19)11 (48)9 (12)32 (21)
    Family h istory of…, n (%)
    Breast cancer31 (15) c c c 9 (6)
    Colorectal cancer23 (11) c c 2 (1)
    • Circ = circumference. Dis = disease. SD = standard deviation.

    • aBETTER trial demographics for patients receiving the prevention practitioner intervention are presented for comparison purposes. bSee Method section for an expanded description of study sites. cSuppressed for privacy reasons because of small numbers.

    • View popup
    Table 2. Prevention and screening actions by study (BETTER trial, BETTER 2) and randomisation groupa
    BETTER trialBETTER 2
    ControlPP
    Patients, n 183209154
    Eligible actions, mean (SD)b 9.1 (3.4)8.9 (3.2)12.3 (2.8)
    Achieved actions, mean (SD)c 1.9 (1.8)4.7 (2.7)6.0 (3.1)
    Actions achieved, % (SD)21.0 (17.5)53.6 (26.0)49.3 (25.0)
    • PP = prevention practitioner.

    • aRandomisation group applies only to the BETTER trial.

    • bThe number of actions patients were eligible to improve at baseline.

    • cThe number of eligible actions achieved at follow-up.

    • View popup
    Table 3. Eligibility and achievement of individual prevention and screening actions
    Prevention and screening actionsaEligiblebAchievedc
    n%n%95% CI
    Screening
    1. FBS or HbA1c monitoring (n = 145)32.1133.30.8 to 90.6
    2. BP monitor (n = 153)63.9116.70.4 to 64.1
    3. Cervical cancer screen (n = 90)88.967534.9 to 96.8
    4. Breast cancer screen (n = 115)1613.9127547.6 to 92.7
    5. BP screen (n = 153)2617.01557.736.9 to 76.7
    6. CRC screen (n = 154)3623.41438.923.1 to 56.5
    7. LDL measured (n = 153)4026.12562.545.8 to 77.3
    8. FBS or HbA1c screen (n = 154)4529.22044.429.6 to 60.0
    9. Smoking screen (n = 154)6542.22436.925.3 to 49.8
    10. Alcohol use screen (n = 154)9964.34848.538.3 to 58.8
    11. Physical activity screen (n = 154)10467.56360.650.5 to 70.0
    12. Nutrition screen (n = 154)12983.85341.132.5 to 50.1
    13. BMI screen (n = 154)13185.110882.474.8 to 88.5
    14. Waist circumference recorded (n = 154)14795.512383.776.7 to 89.3
    Treatment i nitiation or r eferral
    15. Cholesterol treatment (n = 121)21.7210015.8 to 100.0
    16. Referral smoking cessation (n = 154)2214.3522.77.8 to 45.4
    17. Referral alcohol cessation (n = 154)10467.543.91.1 to 9.6
    18. Referral nutrition (n = 154)12379.94435.827.3 to 44.9
    19. Referral physical activity (n = 153)13085.03627.720.2 to 36.2
    20. Referral weight control (n = 151)13287.45843.935.3 to 52.8
    Risk m odification
    21. LDL improvement (n = 121)1814.91161.135.8 to 82.7
    22. Smoking cessation (n = 154)2214.3836.417.2 to 59.3
    23. Hypertension control (n = 153)2919.02485.767.3 to 96.0
    24. At risk alcohol improvement (n = 154)7951.33260.446.0 to 73.4
    25. Diet score improvement (n = 154)12379.95462.151.0 to 72.3
    26. Physical activity improvement (n = 153)13085.0616756.4 to 76.5
    27. Overweight stabilisation (n = 151)13287.46750.841.9 to 59.6
    • BMI = body mass index. BP = blood pressure. CI = confidence intervals. CRC = colorectal cancer. FBS = fasting blood sugar. HbA1c = haemoglobin A1C. LDL = low-density lipoprotein.

    • aComplete description of each item available from the authors on request. This column includes the number of participants for whom this CDPS action was assessable at follow-up. Action items intended for women were only assessed for female participants (n = 119). bIndicates the patients who were eligible to improve the action at baseline. cOf the patients who were eligible at baseline, indicates the patients who accomplished the action at follow-up.

    • View popup
    Table 4. Demographic and clinical characteristics associated with differences in composite outcome score
    Bivariate modelsMultivariate modela
    Δ Outcome (95% CI)b P value Δ Outcome ( 95% CI) b P value
    Female -7.3 (-13.3 to -1.3)0.02-13.8 (-18.9 to -8.7)<0.001
    Age, years 0.5 (0.1 to 0.9)0.020.0 (-0.5 to 0.5)0.99
    Ethnicity: Europeanreference—reference—
    Indigenous-0.8 (-10.9 to 9.3)0.87-4.9 (-12.2 to 2.5)0.20
    Other7.1 (-9.4 to 23.7)0.406.1 (-7.0 to 19.1)0.36
    Citizenship: Canadianreference—reference—
    Non-Canadian10.9 (2.4 to 19.4)0.015.3 (-5.3 to 15.9)0.33
    Education: ≤High schoolreference—reference—
    Some college/university12.1 (3.7 to 20.5)0.00513.7 (0.3 to 27.0)0.04
    Graduate degree18.0 (11.6 to 24.4)<0.00121.6 (6.1 to 37.0)0.006
    Employment: Fully employedreference—reference—
    Retired2.8 (-2.5 to 8.2)0.30-3.7 (-11.0 to 3.5)0.31
    Other0.1 (-5.9 to 6.0)0.98-2.1 (-9.9 to 5.6)0.59
    Relationship: Partneredreference—reference—
    Non-partnered3.0 (-3.8 to 9.8)0.39-2.2 (-9.1 to 4.6)0.52
    Income: $0–$60 000reference—reference—
    $60 000–$100 000-2.3 (-9.0 to 4.5)0.52-7.0 (-17.0 to 2.9)0.16
    ≥$100 000-6.1 (-12.4 to 0.1)0.06-11.5 (-20.7to -2.4)0.01
    Smoking status: Non-smokerreference—reference—
    Smoker-16.7 (-23.7 to -9.7)<0.001-8.8 (-17.5 to -0.1)0.05
    Alcohol consumption: Neverreference—reference—
    Less than weekly9.6 (1.9 to 17.4)0.023.4 (-3.5 to 10.3)0.34
    Weekly or more-1.2 (-6.5 to 4.2)0.68-11.5 (-22.3 to -0.6)0.04
    Exercise: <150 minutes/weekreference—reference—
    >150 minutes/week-1.3 (-8.5 to 5.9)0.73-1.2 (-7.8 to 5.5)0.73
    • CI = confidence intervals. aMultivariate models contain all listed variables, plus variables for study site. b Data are difference in composite outcome relative to the reference condition for the variable (for example, women achieved a mean of 7.3% less than men on the unadjusted analysis, and 13.8% less than men on the composite outcome after adjustment for the effect of other covariates)

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The effectiveness of a proven chronic disease prevention and screening intervention in diverse and remote primary care settings: an implementation study on the BETTER 2 Program
Kris Aubrey-Bassler, Carolina Fernandes, Carla Penney, Richard Cullen, Christopher Meaney, Nicolette Sopcak, Denise Campbell-Scherer, Rahim Moineddin, Julia Baxter, Paul Krueger, Margo Wilson, Andrea Pike, Eva Grunfeld, Donna Manca
BJGP Open 2019; 3 (3): bjgpopen19X101656. DOI: 10.3399/bjgpopen19X101656

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The effectiveness of a proven chronic disease prevention and screening intervention in diverse and remote primary care settings: an implementation study on the BETTER 2 Program
Kris Aubrey-Bassler, Carolina Fernandes, Carla Penney, Richard Cullen, Christopher Meaney, Nicolette Sopcak, Denise Campbell-Scherer, Rahim Moineddin, Julia Baxter, Paul Krueger, Margo Wilson, Andrea Pike, Eva Grunfeld, Donna Manca
BJGP Open 2019; 3 (3): bjgpopen19X101656. DOI: 10.3399/bjgpopen19X101656
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Keywords

  • chronic disease
  • primary prevention
  • early detection of cancer
  • disease management
  • General Practice
  • primary care

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