|
5 | 5 | "claim": "WHO estimates 1.3 billion adults have hypertension, with only 45 percent diagnosed and 20 percent controlled globally, and control rates below 10 percent in most LMICs.", |
6 | 6 | "evidence_type": "primary-source", |
7 | 7 | "source": { |
8 | | - "title": "Global Report on Hypertension", |
9 | | - "url": "https://www.who.int/publications/i/item/9789240081060" |
| 8 | + "title": "Global report on hypertension: the race against a silent killer", |
| 9 | + "url": "https://iris.who.int/handle/10665/372896" |
10 | 10 | }, |
11 | 11 | "source_date": "2023-09-19", |
12 | | - "access_date": "2026-06-07", |
| 12 | + "access_date": "2026-06-18", |
13 | 13 | "method": "Reviewed WHO hypertension report, detection and control cascade data.", |
14 | 14 | "limitations": [ |
15 | 15 | "Diagnosis data depends on survey frequency.", |
16 | 16 | "Treatment-control data from routine systems is incomplete." |
17 | 17 | ], |
18 | 18 | "confidence": "high" |
| 19 | + }, |
| 20 | + { |
| 21 | + "id": "ncd-risc-hypertension-trends-2021", |
| 22 | + "problem_id": "public-health/hypertension-control-global", |
| 23 | + "claim": "A pooled analysis of 1201 population-representative studies with measured blood pressure (104 million participants, 184 countries) estimates age-standardized hypertension prevalence, detection, treatment, and control for adults aged 30-79 by country and sex for 1990-2019, and is usable as the cross-country comparison backbone for this pack.", |
| 24 | + "evidence_type": "peer-reviewed-study", |
| 25 | + "source": { |
| 26 | + "title": "Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants", |
| 27 | + "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC8446938/" |
| 28 | + }, |
| 29 | + "source_date": "2021-09-11", |
| 30 | + "access_date": "2026-06-18", |
| 31 | + "method": "Read the open-access NCD-RisC article and its methods section; confirmed it uses only measured (not self-reported) blood pressure and reports the full detection-treatment-control cascade by country, sex, and year.", |
| 32 | + "limitations": [ |
| 33 | + "Estimates are at national level for ages 30-79 only; the paper does not provide sub-national grain.", |
| 34 | + "Where country data are sparse the cascade values are modeled, widening uncertainty for many low-income countries.", |
| 35 | + "Cut-off is 2019, so it predates recent program scale-up." |
| 36 | + ], |
| 37 | + "confidence": "high" |
| 38 | + }, |
| 39 | + { |
| 40 | + "id": "who-steps-microdata", |
| 41 | + "problem_id": "public-health/hypertension-control-global", |
| 42 | + "claim": "The WHO NCD Microdata Repository distributes nationally representative STEPS survey microdata with directly measured blood pressure, supporting country-level detection, treatment, and control estimates and limited sub-national breakdowns where sample design allows.", |
| 43 | + "evidence_type": "dataset", |
| 44 | + "source": { |
| 45 | + "title": "WHO NCD Microdata Repository — STEPS collection", |
| 46 | + "url": "https://extranet.who.int/ncdsmicrodata/index.php/collections/STEPS" |
| 47 | + }, |
| 48 | + "source_date": "2024-01-01", |
| 49 | + "access_date": "2026-06-18", |
| 50 | + "method": "Opened the STEPS collection in the WHO NCD Microdata Repository and confirmed it lists country STEPS datasets with measured blood pressure variables and downloadable microdata under request-based access.", |
| 51 | + "limitations": [ |
| 52 | + "Surveys are cross-sectional and run infrequently, so a country may have only one usable year.", |
| 53 | + "Sampling is designed for national estimates; sub-national power is uneven and often insufficient.", |
| 54 | + "Field BP measurement protocol (single visit, device) differs from clinical diagnosis, so control status is approximate.", |
| 55 | + "Source date is approximate — the collection is continuously updated rather than published once." |
| 56 | + ], |
| 57 | + "confidence": "high" |
| 58 | + }, |
| 59 | + { |
| 60 | + "id": "dhs-program-biomarkers", |
| 61 | + "problem_id": "public-health/hypertension-control-global", |
| 62 | + "claim": "The DHS Program measures blood pressure as a biomarker for women and men aged 15 and over in selected surveys, providing an additional source of measured-BP prevalence with georeferenced clusters in some LMICs.", |
| 63 | + "evidence_type": "dataset", |
| 64 | + "source": { |
| 65 | + "title": "The DHS Program — Biomarkers", |
| 66 | + "url": "https://www.dhsprogram.com/What-We-Do/Biomarkers.cfm" |
| 67 | + }, |
| 68 | + "source_date": "2024-01-01", |
| 69 | + "access_date": "2026-06-18", |
| 70 | + "method": "Reviewed the DHS biomarkers page and confirmed blood pressure is among collected biomarkers for ages 15+; cross-checked that BP is a recent and survey-specific addition, not universal across all DHS rounds.", |
| 71 | + "limitations": [ |
| 72 | + "Blood pressure is collected only in a subset of DHS surveys and countries, not all rounds.", |
| 73 | + "Treatment and control cascade items are not consistently captured, so DHS is stronger for prevalence than for control.", |
| 74 | + "Source date is approximate — this is a continuously maintained program page, not a dated publication." |
| 75 | + ], |
| 76 | + "confidence": "medium" |
| 77 | + }, |
| 78 | + { |
| 79 | + "id": "gbd-2021-high-sbp-burden", |
| 80 | + "problem_id": "public-health/hypertension-control-global", |
| 81 | + "claim": "GBD 2021 (IHME) provides modeled estimates of deaths and DALYs attributable to high systolic blood pressure by country, sex, age, and selected subnational units for 1990-2021, usable as a burden-context layer but not as a direct detection-treatment-control measurement.", |
| 82 | + "evidence_type": "dataset", |
| 83 | + "source": { |
| 84 | + "title": "Global Burden of Disease Study 2021 (GBD 2021) Burden and Strength of Evidence by Risk Factor 1990-2021", |
| 85 | + "url": "https://ghdx.healthdata.org/record/ihme-data/gbd-2021-burden-by-risk-1990-2021" |
| 86 | + }, |
| 87 | + "source_date": "2024-05-18", |
| 88 | + "access_date": "2026-06-18", |
| 89 | + "method": "Opened the GHDx record for the GBD 2021 risk-factor burden product and confirmed it covers high systolic blood pressure attributable burden with subnational coverage for a subset of countries.", |
| 90 | + "limitations": [ |
| 91 | + "Outputs are attributable burden (deaths, DALYs), not measured detection, treatment, or control rates.", |
| 92 | + "Values are modeled estimates with uncertainty intervals, not survey observations.", |
| 93 | + "Subnational estimates exist only for a subset of countries." |
| 94 | + ], |
| 95 | + "confidence": "medium" |
| 96 | + }, |
| 97 | + { |
| 98 | + "id": "pure-study-hypertension-2013", |
| 99 | + "problem_id": "public-health/hypertension-control-global", |
| 100 | + "claim": "The PURE study reported hypertension prevalence, awareness, treatment, and control across high-, middle-, and low-income countries using measured blood pressure in 142042 adults aged 35-70 from 628 communities, documenting markedly lower control in lower-income settings.", |
| 101 | + "evidence_type": "peer-reviewed-study", |
| 102 | + "source": { |
| 103 | + "title": "Prevalence, Awareness, Treatment, and Control of Hypertension in Rural and Urban Communities in High-, Middle-, and Low-Income Countries (PURE)", |
| 104 | + "url": "https://pubmed.ncbi.nlm.nih.gov/24002282/" |
| 105 | + }, |
| 106 | + "source_date": "2013-09-04", |
| 107 | + "access_date": "2026-06-18", |
| 108 | + "method": "Read the PubMed record and abstract to confirm cohort size, age range, country mix, and that the cascade was based on measured blood pressure.", |
| 109 | + "limitations": [ |
| 110 | + "Sample is community cohorts, not nationally representative, so country estimates are not generalizable.", |
| 111 | + "Age range is restricted to 35-70 years.", |
| 112 | + "Data were collected 2003-2009, so figures are dated relative to current control programs." |
| 113 | + ], |
| 114 | + "confidence": "medium" |
| 115 | + }, |
| 116 | + { |
| 117 | + "id": "self-report-hypertension-bias-2022", |
| 118 | + "problem_id": "public-health/hypertension-control-global", |
| 119 | + "claim": "Self-reported hypertension diagnosis underestimates measured prevalence by roughly 20 percent in women and 55 percent in men in a large Indian survey, which is the documented basis for rejecting self-report-only household surveys as a prevalence source for this pack.", |
| 120 | + "evidence_type": "peer-reviewed-study", |
| 121 | + "source": { |
| 122 | + "title": "Inconsistency in prevalence of hypertension based on self-reports and use of standard tests: Implications for large scale surveys", |
| 123 | + "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC9547289/" |
| 124 | + }, |
| 125 | + "source_date": "2022-10-03", |
| 126 | + "access_date": "2026-06-18", |
| 127 | + "method": "Read the open-access article and its results to confirm the direction and magnitude of self-report bias against standard measured tests, then applied it as the rejection rule for self-report-only sources.", |
| 128 | + "limitations": [ |
| 129 | + "Quantified bias is from India and may differ in magnitude elsewhere.", |
| 130 | + "The study justifies rejecting self-report for prevalence; it is not itself a usable cross-country data source.", |
| 131 | + "It does not address treatment or control measurement specifically." |
| 132 | + ], |
| 133 | + "confidence": "high" |
19 | 134 | } |
20 | 135 | ] |
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