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Research

Cost effectiveness of case-finding strategies for primary prevention of cardiovascular disease: a modelling study

Catriona Crossan, Joanne Lord, Ronan Ryan, Leo Nherera and Tom Marshall
British Journal of General Practice 2017; 67 (654): e67-e77. DOI: https://doi.org/10.3399/bjgp16X687973
Catriona Crossan
Health Economics Research Group, Brunel University London, Uxbridge.
Roles: Research fellow
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Joanne Lord
Southampton Health Technology Assessments Centre, University of Southampton, Southampton.
Roles: Director
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Ronan Ryan
Primary Care Clinical Sciences, School of Health and Population Sciences, University of Birmingham, Birmingham.
Roles: Research fellow
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Leo Nherera
Smith & Nephew, Hull.
Roles: Health economics manager
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Tom Marshall
School of Health and Population Sciences, University of Birmingham, Birmingham.
Roles: Professor of public health and primary care
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    Discrete-event simulation flowchart.

    BMI = body mass index. BP = blood pressure. PSA = probabilistic sensitivity analysis. QALY = quality-adjusted life year. TC/HDL = total cholesterol/high-density lipoprotein. THIN = The Health Improvement Network database.

  • Figure 2.
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    Figure 2.

    Mean cost and QALY gain per 10 000 population compared with no active case finding. CVD = cardiovascular disease. QALY = quality-adjusted life year.

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    Figure 3.

    Difference in net benefit per sensitivity analysis compared with base case.

    RR = relative risk. SA1 = sensitivity analysis 1. SA2 = sensitivity analysis 2. SA3 = sensitivity analysis 3.

Tables

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    Table 1.

    Sample characteristicsa,b

    CharacteristicMissing data, n (%)Observed valueImputed value
    Age48 (10.96)c
    Male, n (%)525 400 (49)
    Ethnicity, n (%)499 346 (46.8)
      White304 533 (28.5)
      Indian17 401 (1.63)
      Pakistani7090 (0.66)
      Bangladeshi1866 (0.17)
      Other Indian8581 (0.80)
      Black Caribbean4706 (0.44)
      Black African12 316 (1.15)
      Chinese3933 (0.37)
      Other ethnic group207 882 (19.5)
    Smoking status, n (%)45 091 (4)
      Non-smoker604 889 (57)
      Ex-smoker212 865 (20)
      Current smoker204 809 (19)
    Townsend index55 370 (5)−0.92 (3.84)c−0.91 (3.85)c
    Body mass index156 686 (15)26.37 (5.19)c26.37 (5.19)c
    Systolic blood pressure93 989 (9)125.46 (14.69)c125.42 (14.68)c
    Diastolic blood pressure94 080 (9)77.01 (9.44)c77.01 (9.43)c
    Total cholesterol581 011 (54)5.29 (0.98)c5.17 (0.98)c
    HDL cholesterol632 782 (59)1.47 (0.44)c1.45 (0.43)c
    Family history CVD, n (%)5214 (0.15%)
    Family history diabetes, n (%)9288 (0.87%)
    Atrial fibrillation, n (%)1626 (0.15%)
    Rheumatoid arthritis, n (%)7330 (0.69%)
    Chronic kidney disease, n (%)5366 (0.50%)
    Taking corticosteroids, n (%)115 186 (11%)
    • ↵a Population aged 30–74 years, without CVD, diabetes, or prescriptions for antihypertensives or statins in THIN database (total dataset for 2013: 1 067 654).

    • ↵b For diagnoses and other categorical variables, the absence of a clinical code is taken to mean the condition is absent.

    • ↵c Mean (standard deviation). CVD = cardiovascular disease. THIN = The Health Improvement Network.

    • View popup
    Table 2.

    Estimated cost and QALY gain of a case-finding strategy based on prior estimated CVD risk versus opportunistic assessmenta

    Invited, %Cut-off 10-year QRisk threshold above which patients are invitedExtra cost, £QALY gainIncremental cost-effectiveness ratio, £Net benefit, £bProbability highest net benefit, %
    0000.00003.9
    20.202718 5536.962666120 62411.2
    40.166759 68911.269567165 49712.0
    60.1445109 24814.6814 491184 36010.2
    80.1277162 28017.5318 608188 3978.3
    100.1142215 72219.8922 645181 9946.7
    130.0983278 48722.3925 106169 3084.7
    150.0896298 68623.3221 719167 6414.6
    200.0721323 63224.8716 094173 8207.3
    250.0590343 94926.0816 791177 5667.6
    300.0488364 68426.9922 786175 2006.9
    350.0406386 54827.7628 395168 6666.0
    400.0339409 01628.3836 239158 5514.2
    450.0283431 76428.8647 392145 4523.2
    500.0236455 91529.2365 273128 6481.6
    550.0197480 42229.5187 525107 7971.0
    600.0163505 46129.74108 86589 3780.4
    700.0110555 95530.04168 31344 7470.2
    800.0071606 74330.21298 753−25360.01
    900.0041656 96330.30558 000−51 0290.00
    950.0028681 60830.312 464 500−75 3700.00
    1000.0006705 73230.322 412 400−99 4300.00
    • ↵a Selecting 0–100% of the population for assessment compared with usual practice for 10 000 patients. Mean per 10 000 persons.

    • ↵b Based on £20 000 per QALY gained. CVD = cardiovascular disease. QALY = quality-adjusted life year.

    • View popup
    Table 3.

    Sensitivity analysis, individuals prioritised for invitation based on prior CVD risk estimates compared with usual carea

    Sensitivity analysisChangeOptimum invite, %bRisk thresholdCost, £Incremental QALYsNet benefit, £c
    Base caseNot applicable80.1276162 28017.53188 397
    Uptake assessmentReduce from 63% to 46% uptake80.1276120 31012.99139 516
    Start medicationReduce by 50%d60.144569 0607.3678 155
    Stop medicationIncrease by 50%e200.0721191 75918.47177 579
    Assessment costReduce by 50% (£37.20)400.0339326 02328.50243 943
    Annual monitoring costReduce by 50% (£60.06)300.0488116 31427.20427 743
    RR of diabetes SA1Change from 1.31 to 0.99300.0488264 88143.41603 313
    RR of diabetes SA2Change from 1.31 to 1.12300.0488303 98636.86433 247
    RR of diabetes SA3Change from 1.31 to 1.7320.202931 5914.5759 793
    Utility decrement diabetesChange from 0.131 to 0.015300.0488362 95640.16440 154
    Disutility of treatmentChange from 0 to 0.00160.1445108 84913.01151 389
    • ↵a Results per 10 000 persons.

    • ↵b Strategy with the largest incremental net benefit is the ‘optimum’ at this threshold, yielding the greatest QALY gain while accounting for the opportunity cost of scarce healthcare resources.

    • ↵c Based on £20 000 per QALY gained.

    • ↵d Initiate treatment with statins, reduce from 0.683 to 0.3415, and with antihypertensives, reduce from 0.565 to 0.2825 (invitation-based strategies).

    • ↵e Stay on statin medication, 1 year: 0.8614 to 0.4307, 5 years: 0.6877 to 0.343875; stay on antihypertensive medication, 1 year: 0.7055 to 0.35275, 5 years: 0.4905 to 0.24525. CVD = cardiovascular disease. QALY = quality-adjusted life year. RR = relative risk. SA1 = sensitivity analysis 1, SA2 = sensitivity analysis 2. SA3 = sensitivity analysis 3.

    • View popup
    Table 4.

    Sensitivity analyses: net benefit per 10 000 persons for inviting for assessment population with 10-year CVD risk thresholds by effect on diabetes risk and varying statin treatment thresholdsa

    Invited, %Cut-offb10-year CVD risk treatment threshold for statins (statins assumed to increase diabetes risk)
    Net benefit for 10% threshold, £Net benefit for 15% threshold, £Net benefit for 20% threshold, £Net benefit for 25% threshold, £Net benefit for 7.5% threshold, £
    80.1276195 319188 397112 700184 396167 790
    100.1142188 736183 987128 576196 675179 743
    130.0983159 806172 395144 537208 960193 451
    150.0896128 521171 427151 326218 406199 252
    200.072166 060178 734169 385232 759212 812
    250.059048 489181 858176 995238 400215 999
    300.048842 467181 101180 853237 444215 407
    350.040636 219174 050178 669231 126210 097
    400.033926 217162 976172 179221 274200 799
    450.028312 992150 559165 075207 209187 863
    500.0236−3225132 937156 436191 749172 612
    8Cut-offb
    0.1276
    10-year CVD risk treatment threshold for statins (statins assumed not to affect diabetes risk)
    420 494414 083347 839245 586193 065
    100.1142478 593468 227365 636259 219205 668
    130.0983550 404527 239382 343273 194220 312
    150.0896585 960547 727392 544283 562226 582
    200.0721647 281574 502408 967299 397240 952
    250.0590668 209586 376414 148306 451245 221
    300.0488675 641590 219412 947306 481245 441
    350.0406675 835586 021406 288300 916241 082
    400.0339670 013577 154397 083291 742232 443
    450.0283659 702566 787384 913278 268219 889
    500.0236645 655550 856368 788263 606205 184
    • ↵a Invitation based on estimated prior CVD risk versus usual care.

    • ↵b 10-year QRisk threshold above which patients are invited. Benefit based on £20 000 per QALY gained. CVD = cardiovascular disease. QALY = quality-adjusted life year.

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British Journal of General Practice: 67 (654)
British Journal of General Practice
Vol. 67, Issue 654
January 2017
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Cost effectiveness of case-finding strategies for primary prevention of cardiovascular disease: a modelling study
Catriona Crossan, Joanne Lord, Ronan Ryan, Leo Nherera, Tom Marshall
British Journal of General Practice 2017; 67 (654): e67-e77. DOI: 10.3399/bjgp16X687973

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Cost effectiveness of case-finding strategies for primary prevention of cardiovascular disease: a modelling study
Catriona Crossan, Joanne Lord, Ronan Ryan, Leo Nherera, Tom Marshall
British Journal of General Practice 2017; 67 (654): e67-e77. DOI: 10.3399/bjgp16X687973
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Keywords

  • cardiovascular diseases
  • cost-effectiveness
  • primary care
  • risk stratification
  • screening

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