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. 2016 Sep 12;11(9):e0162421. doi: 10.1371/journal.pone.0162421

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

The PLOS ONE Staff
PMCID: PMC5019417  PMID: 27617836

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

Fig 3.

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).

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) Distribution Source #
Age categories
30–44 years old 0.37 (0.01) 35.8 (0.15) Beta Kwara HH survey
45–59 years old 0.34 (0.01) 50.1 (0.15) Beta Kwara HH survey
60–69 years old 0.19 (0.01) 62.5 (0.14) Beta Kwara HH survey
70–79 years old 0.11 (0.01) 71.8 (0.17) Beta Kwara HH survey
Gender, male 0.45 (0.01) - Beta Kwara HH survey
Hypertension severity^
No hypertension 0.77 (0.01) 114.0 (0.30) Beta Kwara HH survey
Hypertension, stage 1 0.13 (0.01) 142.66 (0.56) Beta Kwara HH survey
Hypertension, stage 2 0.11 (0.01) 173.49 (1.36) Beta Kwara HH survey
Total Cholesterol
TC > 5 mmol/L 0.08 (0.01) 5.49 (0.05) Beta Kwara HH survey
TC < = 5 mmol/L 0.92 (0.01) 3.66 (0.02) Beta Kwara HH survey
High Density Lipoprotein Cholesterol
TC > 5 mmol/L* 0.08 (0.01) 1.36 (0.09) Beta Kwara HH survey
TC < = 5 mmol/L* 0.92 (0.01) 1.08 (0.02) Beta Kwara HH survey
Current daily smoking 0.12 (0.01) N.A. Beta Kwara HH survey
Diabetes 0.04 (0.01) N.A. Beta Kwara HH survey
Probabilities and outcomes in model
Stroke event Base Case Range Distribution Source #
Probability of stroke event Framingham risk score per risk profile per year [26]
Probability of stroke to be fatal within one year 0.53 0.50–0.57 Triangular [30–42]
Survival time if stroke fatal within one year 82.0 days 77.6–89.6 days Triangular [30–42]
Survival time if stroke non-fatal within one year Age- and gender-specific, adapted to Nigeria [43,44]
CHD event Base Case Range Distribution Source #
Probability of CHD event Framingham risk score per risk profile per year [25]
Probability of CHD to be fatal within one year 0.30 0.26–0.33 Triangular [16,45,46]
Survival time if CHD fatal within one year 49.3 days 44.3–61.3 days Triangular [16,45,46]
Survival time if CHD non-fatal within one year Age- and gender-specific, adapted to Nigeria [44,47]
Other death Distribution Source #
Probability of non-CVD mortality per year Age- and gender-specific table in supplement [44]
Hypertension treatment Base Case Range Distribution Source #
Coverage in KSHI program 29% - - Kwara HH survey
SBP decrease–individuals on antihypertensive treatment (mmHg) -20 (-31.6–-8.4) Triangular Kwara HH survey
SBP decrease–screened hypertensive individuals, not on antihypertensive treatment (mmHg) -2.4 (-6.0–0) Triangular Kwara HH survey
Relative risk reduction (RRR) per 10 mmHg SBP decrease Base Case Range Distribution Source #
RRR Stroke–based on Lawes 30–44 years old 2.38 2.13–2.63 Triangular [7]
RRR Stroke–based on Lawes 45–59 years old 2 1.92–2.04 Triangular [7]
RRR Stroke–based on Lawes 60–69 years old 1.56 1.52–1.61 Triangular [7]
RRR Stroke–based on Lawes 70–79 years old 1.37 1.32–1.43 Triangular [7]
RRR CHD–based on Lawes 30–44 years old 1.92 1.54–2.38 Triangular [7]
RRR CHD–based on Lawes 45–59 years old 1.67 1.56–1.75 Triangular [7]
RRR CHD–based on Lawes 60–69 years old 1.33 1.27–1.39 Triangular [7]
RRR CHD–based on Lawes 70–79 years old 1.25 1.191.32 Triangular [7]
RRR Stroke–based on Rapsomaniki 1.16 1.14–1.18 Triangular Calculated from[48]
RRR CHD–based on Rapsomaniki 1.16 1.15–1.18 Triangular Calculated from[48]
Cost parameters (2012 US$)
Base Case Range Distribution Source #
Cost of hypertension care per patient per year 112 101–126 Triangular Adapted from [24]
Cost of screening per person screened 5 4–6 Triangular [49]
Above-service delivery costs of insurance program management per patient per year 24 - Triangular KSHI program management
Cost of acute care after a stroke per patient 380 242–1,556 Triangular Base Case: UITH data, [24] Range: [16,17,19,35,50–57]
Cost of follow up care after a stroke per patient per year 240 206–275 Triangular [24]
Cost of acute care after CHD event per patient 181 115–1,180 Triangular Base Case: UITH data, [24] Range: [16,17,19]
Cost of follow up care after CHD event per patient per year 278 235–320 Triangular [24]
DALY assumptions
Base Case Range Distribution
Disability weight during survival period after a fatal stroke (death during first year) 0.553 0.363–0.738 Triangular Adapted from [27]
Disability weight during survival after a non-fatal stroke 0.256 0.021–0.553 Triangular Adapted from [27]
Disability weight during survival period after a fatal CHD event (death during first year) 0.180 0.135–0.250 Triangular Adapted from [27]
Disability weight during survival after a non-fatal CHD event 0.09 0.022–0.234 Triangular Adapted from [27]
Disability weight while on antihypertensive treatment 0.031 0.017–0.05 Triangular [27]

Reference

  • 1.Rosendaal NTA, Hendriks ME, Verhagen MD, Bolarinwa OA, Sanya EO, Kolo PM, et al. (2016) Costs and Cost-Effectiveness of Hypertension Screening and Treatment in Adults with Hypertension in Rural Nigeria in the Context of a Health Insurance Program. PLoS ONE 11(6): e0157925 doi:10.1371/journal.pone.0157925 [DOI] [PMC free article] [PubMed] [Google Scholar]

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