Community-based blood pressure measurement by non-health workers using electronic devices: a validation study

References

• Beaglehole R, Bonita R, Horton R, Adams C, Alleyne G, Asaria P, et al.. Priority actions for the non-communicable disease crisis. Lancet. 2011; 377: 1438–47. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Bovet P, Hirsiger P, Emery F, De Bernardini J, Rossier C, Trebeljahr J, et al.. Impact and cost of a 2-week community-based screening and awareness program for diabetes and cardiovascular risk factors in a Swiss canton. Diabetes Metab Syndr Obes. 2011; 4: 213–23.
   Google Scholar
• Sorof JM, Turner J, Martin DS, Garcia K, Garami Z, Alexandrov AV, et al.. Cardiovascular risk factors and sequelae in hypertensive children identified by referral versus school-based screening. Hypertension. 2004; 43: 214–8. 10.3402/gha.v5i0.14876.
   PubMedGoogle Scholar
• Burt VL, Whelton P, Roccella EJ, Brown C, Cutler JA, Higgins M, et al.. Prevalence of hypertension in the US adult population. Results from the Third National Health and Nutrition Examination Survey, 1988–1991. Hypertension. 1995; 25: 305–13. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Cornoni-Huntley J, Harlan WR, Leaverton PE. Blood pressure in adolescence. The United States Health Examination survey. Hypertension. 1979; 1: 566–71. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Falaschetti E, Chaudhury M, Mindell J, Poulter N. Continued improvement in hypertension management in England: results from the Health Survey for England 2006. Hypertension. 2009; 53: 480–6. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Harlan WR, Cornoni-Huntley J, Leaverton PE. Blood pressure in childhood. The National Health Examination Survey. Hypertension. 1979; 1: 559–65. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Harlan WR, Hull AL, Schmouder RL, Landis JR, Larkin FA, Thompson FE. High blood pressure in older Americans. The First National Health and Nutrition Examination Survey. Hypertension. 1984; 6(6 Pt 1):802–9. 10.3402/gha.v5i0.14876.
   Google Scholar
• Poirier P, Lemieux I, Mauriège P, Dewailly E, Blanchet C, Bergeron J, et al.. Impact of waist circumference on the relationship between blood pressure and insulin: the Quebec Health Survey. Hypertension. 2005; 45: 363–7. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Primatesta P, Brookes M, Poulter NR. Improved hypertension management and control: results from the health survey for England 1998. Hypertension. 2001; 38: 827–32.
   PubMed Web of Science ®Google Scholar
• Redmond N, Baer HJ, Hicks LS. Health behaviors and racial disparity in blood pressure control in the national health and nutrition examination survey. Hypertension. 2011; 57: 383–9. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Westat inc. National Health and Nutrition Survey III: cycle 2: blood pressure quality control program [Internet]. ; 1991. Available from: http://www.cdc.gov/nchs/data/nhanes/nhanes3/cdrom/nchs/manuals/bpqc.pdf [cited 20 June 2011].
   Google Scholar
• Jones DW, Frohlich ED, Grim CM, Grim CE, Taubert KA. Mercury sphygmomanometers should not be abandoned: an advisory statement from the Council for High Blood Pressure Research, American Heart Association. Hypertension. 2001; 37: 185–6. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Primatesta P, Poulter NR. Improvement in hypertension management in England: results from the Health Survey for England 2003. J Hypertens. 2006; 24(6):1187–92. 10.3402/gha.v5i0.14876.
   Google Scholar
• World Health Organization. Task shifting : rational redistribution of tasks among health workforce teams: global recommendations and guidelines. Geneva: World Health Organization. 2008.
   Google Scholar
• Gillman MW, Cook NR. Blood pressure measurement in childhood epidemiological studies. Circulation. 1995; 92: 1049–57. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Van Minh H, Soonthornthada K, Ng N, Juvekar S, Razzaque A, Ashraf A, et al.. Blood pressure in adult rural INDEPTH population in Asia. Glob Health Action. 2009; 2: 60–7.
   Web of Science ®Google Scholar
• Msyamboza KP, Ngwira B, Dzowela T, Mvula C, Kathyola D, Harries AD, et al.. The burden of selected chronic non-communicable diseases and their risk factors in Malawi: Nationwide STEPS Survey. PLoS ONE. 2011; 6: e20316.10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Minh HV, Byass P, Huong DL, Chuc NTK, Wall S. Risk factors for chronic disease among rural Vietnamese adults and the association of these factors with sociodemographic variables: findings from the WHO STEPS Survey in Rural Vietnam. Prev Chronic Dis. 2005; 4: A22.
   Google Scholar
• Wan Y, Heneghan C, Stevens R, McManus RJ, Ward A, Perera R, et al.. Determining which automatic digital blood pressure device performs adequately: a systematic review. J Hum Hypertens. 2010; 24: 431–8. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Lewis JE, Boyle E, Magharious L, Myers MG. Evaluation of a community-based automated blood pressure measuring device. CMAJ. 2002; 166: 1145–8.
   Web of Science ®Google Scholar
• Shuler CL, Allison N, Holcomb S, Harlan M, McNeill J, Robinett G, et al.. Accuracy of an automated blood pressure device in stable inpatients: optimum vs routine use. Arch Intern Med. 1998; 158: 714–21. 10.3402/gha.v5i0.14876.
   Google Scholar
• Cartwright C, Unwin N, Stephenson P. Agreement between the Takeda UA-731 automatic blood pressure measuring device and the manual mercury sphygmomanometer: an assessment under field conditions in Newcastle upon Tyne, UK. J Epidemiol Community Health. 1996; 50: 218–22. 10.3402/gha.v5i0.14876.
   Google Scholar
• Gallacher JE, Yarnell JW, Rogers S, Sweetnam P. Automatic measurement of blood pressure: evaluation of the Copal UA-231 automatic sphygmomanometer. J Epidemiol Community Health. 1985; 39: 220–3. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Rogers S, Smith GD, Doyle W. Field evaluation of the Copal UA-231 automatic sphygmomanometer. J Epidemiol Community Health. 1988; 42: 321–4. 10.3402/gha.v5i0.14876.
   Google Scholar
• Nolly H, Osso P, Nolly A, Silva M, Nolly M, Romero M. Self-measurement of blood pressure: validation of the Braun BP VitalScan Plus 1650 monitor according to the European Society of Hypertension International Protocol. Blood Press Monit. 2008; 13: 101–6. 10.3402/gha.v5i0.14876.
   Google Scholar
• Yi J, Wan Y, Pan F, Yu X, Zhao H, Shang F, et al.. Validation of the Medipro MediCare 100f upper arm blood pressure monitor, for self-measurement, according to the European Society of Hypertension International Protocol revision 2010. Blood Press Monit. 2011; 16: 197–9. 10.3402/gha.v5i0.14876.
   Google Scholar
• Erdem E, Aydogdu T, Akpolat T. Validation of the Medisana MTP Plus upper arm blood pressure monitor, for self-measurement, according to the European Society of Hypertension International Protocol revision 2010. Blood Press Monit. 2011; 16: 43–6. 10.3402/gha.v5i0.14876.
   Google Scholar
• Zeng W-F, Huang Q-F, Sheng C-S, Li Y, Wang J-G. Validation of the Kingyield BP101H blood pressure monitor for home blood pressure monitoring according to the European Society of Hypertension International Protocol. Blood Press Monit. 2010; 15: 329–31. 10.3402/gha.v5i0.14876.
   Google Scholar
• Chen H-E, Cui Y, Sheng C-S, Li L-H, Li Y, Wang J-G. Validation of the Health & Life HL868BA blood pressure monitor for home blood pressure monitoring according to the European Society of Hypertension International Protocol. Blood Press Monit. 2008; 13: 305–8. 10.3402/gha.v5i0.14876.
   Google Scholar
• Cotte UV, Faltenbacher VH, von Willich W, Bogner JR. Trial of validation of two devices for self-measurement of blood pressure according to the European Society of Hypertension International Protocol: the Citizen CH-432B and the Citizen CH-656C. Blood Press Monit. 2008; 13: 55–62. 10.3402/gha.v5i0.14876.
   Google Scholar
• O'Brien E, Atkins N, Stergiou G, Karpettas N, Parati G, Asmar R, et al.. European Society of Hypertension International Protocol revision for the validation of blood pressure measuring devices in adults. Blood Press Monit. 2010; 15: 23–38. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Powers BJ, Olsen MK, Smith VA, Woolson RF, Bosworth HB, Oddone EZ. Measuring blood pressure for decision making and quality reporting: where and how many measures?. Ann Intern Med. 2011; 154: 781–8.
   PubMed Web of Science ®Google Scholar
• Asmar R, Khabouth J, Mattar J, Pecchioli V, Germano G. Validation of three professional devices measuring office blood pressure according to three different methods: the Omron BP10, the Omron HBP T105 and the Pic Indolor Professional. J Hypertens. 2010; 28: 452–8. 10.3402/gha.v5i0.14876.
   Google Scholar
• Westat inc. National Health and Nutrition Survey III: cycle 2: physician examiner's training manual [Internet]. ; 1991. Available from: http://www.cdc.gov/nchs/data/nhanes/nhanes3/cdrom/nchs/manuals/phys.pdf [cited 20 June 2011].
   Google Scholar
• Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 1: 307–10. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Snijders T, Bosker R. Multilevel analysis: an Introduction to basic and advanced multilevel modeling. Sage Publishers. London, 1999
   Google Scholar
• Pinheiro JC, Bates DM. Mixed-effects models in S and S-PLUS. Springer. New York NY, 2000
   Google Scholar
• Baayen RH, Davidson DJ, Bates DM. Mixed-effects modeling with crossed random effects for subjects and items. J Mem Lang. 2008; 59: 390–412. 10.3402/gha.v5i0.14876.
   Web of Science ®Google Scholar
• R Development Core Team. R: a language and environment for statistical computing [Internet]. ViennaAustria: R Foundation for Statistical Computing. 2011. Available from: http://www.R-project.org.
   Google Scholar
• Bates D, Maechler M, Bolker B. lme4: linear mixed-effects models using S4 classes [Internet]. 2011. Available from: http://CRAN.R-project.org/package = lme4.
   Google Scholar
• Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al.. The seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. 2003; 289: 2560–72. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN, et al.. Recommendations for blood pressure measurement in humans and experimental animals. Circulation. 2005; 111: 697–716. 10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar
• Allotey P, Reidpath D, Ghalib H, Pagnoni F, Skelly W. Efficacious, effective, and embedded interventions: implementation research in infectious disease control. BMC Public Health. 2008; 8: 343.10.3402/gha.v5i0.14876.
   PubMed Web of Science ®Google Scholar