Literature DB >> 27617836

Correction: Costs and Cost-Effectiveness of Hypertension Screening and Treatment in Adults with Hypertension in Rural Nigeria in the Context of a Health Insurance Program.

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Abstract

[This corrects the article DOI: 10.1371/journal.pone.0157925.].

Entities:  

Year:  2016        PMID: 27617836      PMCID: PMC5019417          DOI: 10.1371/journal.pone.0162421

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Within Fig 3, Fig 3A and 3B are incorrectly reversed. The authors have provided the correct Fig 3 here.
Fig 3

3A: One-way sensitivity analysis, risk and HT based strategy. Fig 3B: One-way sensitivity analysis, risk based strategy. Legend Fig 3A and 3B: Presents the change in ICER (incremental costs per DALY averted) compared to the baseline when parameter input is either varied in a high and low bound or when parameter input is varied to an alternative scenario (presented as lower bound). Darker and lighter bars represent the change in ICER when a parameter is varied to a respectively lower value (or alternative scenario) and higher value compared to the baseline estimate. *effect of treatment on SBP: -14.6, coverage of 100% for eligible patients and no disability loss for hypertension treatment. ^based on observed costs in a scenario when limited diagnostic testing and task-shifting from doctors to nurses[24]. Abbreviations: SBP: systolic blood pressure; CHD: coronary heart disease; LVH: left ventricle hypertrophy. noHT: no hypertension; HT1: hypertension stage 1; HT2: hypertension stage 2. All values for the parameters tested as well as resulting ICERs are reported in Tables K and L (S1 File).

3A: One-way sensitivity analysis, risk and HT based strategy. Fig 3B: One-way sensitivity analysis, risk based strategy. Legend Fig 3A and 3B: Presents the change in ICER (incremental costs per DALY averted) compared to the baseline when parameter input is either varied in a high and low bound or when parameter input is varied to an alternative scenario (presented as lower bound). Darker and lighter bars represent the change in ICER when a parameter is varied to a respectively lower value (or alternative scenario) and higher value compared to the baseline estimate. *effect of treatment on SBP: -14.6, coverage of 100% for eligible patients and no disability loss for hypertension treatment. ^based on observed costs in a scenario when limited diagnostic testing and task-shifting from doctors to nurses[24]. Abbreviations: SBP: systolic blood pressure; CHD: coronary heart disease; LVH: left ventricle hypertrophy. noHT: no hypertension; HT1: hypertension stage 1; HT2: hypertension stage 2. All values for the parameters tested as well as resulting ICERs are reported in Tables K and L (S1 File). There is an error in Table 1. The row “Relative risk reduction (RRR0 per 10 mmHg SBP decrease” was incorrectly omitted. The publisher apologizes for this error.
Table 1

Input parameters for cost-effectiveness analyses.

Population and risk factor distributions
Proportion (SE)Average (SE)DistributionSource #
Age categories
30–44 years old0.37 (0.01)35.8 (0.15)BetaKwara HH survey
45–59 years old0.34 (0.01)50.1 (0.15)BetaKwara HH survey
60–69 years old0.19 (0.01)62.5 (0.14)BetaKwara HH survey
70–79 years old0.11 (0.01)71.8 (0.17)BetaKwara HH survey
Gender, male0.45 (0.01)-BetaKwara HH survey
Hypertension severity^
No hypertension0.77 (0.01)114.0 (0.30)BetaKwara HH survey
Hypertension, stage 10.13 (0.01)142.66 (0.56)BetaKwara HH survey
Hypertension, stage 20.11 (0.01)173.49 (1.36)BetaKwara HH survey
Total Cholesterol
TC > 5 mmol/L0.08 (0.01)5.49 (0.05)BetaKwara HH survey
TC < = 5 mmol/L0.92 (0.01)3.66 (0.02)BetaKwara HH survey
High Density Lipoprotein Cholesterol
TC > 5 mmol/L*0.08 (0.01)1.36 (0.09)BetaKwara HH survey
TC < = 5 mmol/L*0.92 (0.01)1.08 (0.02)BetaKwara HH survey
Current daily smoking0.12 (0.01)N.A.BetaKwara HH survey
Diabetes0.04 (0.01)N.A.BetaKwara HH survey
Probabilities and outcomes in model
Stroke eventBase CaseRangeDistributionSource #
Probability of stroke eventFramingham risk score per risk profile per year[26]
Probability of stroke to be fatal within one year0.530.50–0.57Triangular[30–42]
Survival time if stroke fatal within one year82.0 days77.6–89.6 daysTriangular[30–42]
Survival time if stroke non-fatal within one yearAge- and gender-specific, adapted to Nigeria[43,44]
CHD eventBase CaseRangeDistributionSource #
Probability of CHD eventFramingham risk score per risk profile per year[25]
Probability of CHD to be fatal within one year0.300.26–0.33Triangular[16,45,46]
Survival time if CHD fatal within one year49.3 days44.3–61.3 daysTriangular[16,45,46]
Survival time if CHD non-fatal within one yearAge- and gender-specific, adapted to Nigeria[44,47]
Other deathDistributionSource #
Probability of non-CVD mortality per yearAge- and gender-specific table in supplement[44]
Hypertension treatmentBase CaseRangeDistributionSource #
Coverage in KSHI program29%--Kwara HH survey
SBP decrease–individuals on antihypertensive treatment (mmHg)-20(-31.6–-8.4)TriangularKwara HH survey
SBP decrease–screened hypertensive individuals, not on antihypertensive treatment (mmHg)-2.4(-6.0–0)TriangularKwara HH survey
Relative risk reduction (RRR) per 10 mmHg SBP decreaseBase CaseRangeDistributionSource #
RRR Stroke–based on Lawes 30–44 years old2.382.13–2.63Triangular[7]
RRR Stroke–based on Lawes 45–59 years old21.92–2.04Triangular[7]
RRR Stroke–based on Lawes 60–69 years old1.561.52–1.61Triangular[7]
RRR Stroke–based on Lawes 70–79 years old1.371.32–1.43Triangular[7]
RRR CHD–based on Lawes 30–44 years old1.921.54–2.38Triangular[7]
RRR CHD–based on Lawes 45–59 years old1.671.56–1.75Triangular[7]
RRR CHD–based on Lawes 60–69 years old1.331.27–1.39Triangular[7]
RRR CHD–based on Lawes 70–79 years old1.251.191.32Triangular[7]
RRR Stroke–based on Rapsomaniki1.161.14–1.18TriangularCalculated from[48]
RRR CHD–based on Rapsomaniki1.161.15–1.18TriangularCalculated from[48]
Cost parameters (2012 US$)
Base CaseRangeDistributionSource #
Cost of hypertension care per patient per year112101–126TriangularAdapted from [24]
Cost of screening per person screened54–6Triangular[49]
Above-service delivery costs of insurance program management per patient per year24-TriangularKSHI program management
Cost of acute care after a stroke per patient380242–1,556TriangularBase Case: UITH data, [24] Range: [16,17,19,35,50–57]
Cost of follow up care after a stroke per patient per year240206–275Triangular[24]
Cost of acute care after CHD event per patient181115–1,180TriangularBase Case: UITH data, [24] Range: [16,17,19]
Cost of follow up care after CHD event per patient per year278235–320Triangular[24]
DALY assumptions
Base CaseRangeDistribution
Disability weight during survival period after a fatal stroke (death during first year)0.5530.363–0.738TriangularAdapted from [27]
Disability weight during survival after a non-fatal stroke0.2560.021–0.553TriangularAdapted from [27]
Disability weight during survival period after a fatal CHD event (death during first year)0.1800.135–0.250TriangularAdapted from [27]
Disability weight during survival after a non-fatal CHD event0.090.022–0.234TriangularAdapted from [27]
Disability weight while on antihypertensive treatment0.0310.017–0.05Triangular[27]
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1.  Costs and Cost-Effectiveness of Hypertension Screening and Treatment in Adults with Hypertension in Rural Nigeria in the Context of a Health Insurance Program.

Authors:  Nicole T A Rosendaal; Marleen E Hendriks; Mark D Verhagen; Oladimeji A Bolarinwa; Emmanuel O Sanya; Philip M Kolo; Peju Adenusi; Kayode Agbede; Diederik van Eck; Siok Swan Tan; Tanimola M Akande; William Redekop; Constance Schultsz; Gabriela B Gomez
Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

  1 in total

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