TY - JOUR
T1 - Accuracy of a smartphone application for blood pressure estimation in Bangladesh, South Africa, and Tanzania
AU - Festo, Charles
AU - Vannevel, Valerie
AU - Ali, Hasmot
AU - Tamrat, Tigest
AU - Mollel, Getrud J.
AU - Hlongwane, Tsakane
AU - Fahmida, Kaniz A.
AU - Alland, Kelsey
AU - Barreix, María
AU - Mehrtash, Hedieh
AU - Silva, Ronaldo
AU - Thwin, Soe Soe
AU - Mehl, Garrett
AU - Labrique, Alain B.
AU - Masanja, Honorati
AU - Tunçalp, Ӧzge
N1 - Funding Information:
The authors appreciate the support received from the JiVitA project, Bangladesh site, the staff and pregnant women attending services at the Kalafong Hospital Antenatal Clinic in South Africa; and the Regional, District and Wards authorities in Tanzania. We are grateful to the following members of the research teams at each site for their work and dedication during data collection:—Tanzania: Anzigara Lipingu, Abdurazack Nurmohamed Abdulkadili, Anastazia Paulo Mwara, and Vallentine Mteki;—Bangladesh: the nurse team, Riva Rani, Shahanaj Akter, Afrin Akter, Sabita Rani, Shahonaz Akter, Neela Zaman and Anjuman A Begum, and the IT team, Khurshid Alam; and—South Africa: Sisters Connie Malapane, Tilly Masemene, Magdalene Nkome, Susan Keena, Mr Thabang Maluleka and Mr Clive Khubayi. We thank the drivers, administrators, and field supervisor teams for their efforts to ensure smooth operation of the field work activities; the study participants, whose cooperation and voluntary participation made this study successful; Rezwanul Haque for technological and data management support; Robert Tilya for reviewing the study documents; Nichole Young-Lin for developing the standard operating procedures of the study; Metin Gülmezoglu, Lale Say, and Olufemi Oladapo for their support in conducting the study; Ona for the development of the e-CRF and Biospectal for the development of the blinded research version of the smartphone application (CamBP). Lastly, we are grateful to the guidance from the independent data review panel: Tabassum Firoz, and Oommen John, and George Stergiou. This work was funded by the Bill and Melinda Gates Foundation (grant number OPP1201339) and the UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), a cosponsored programme executed by the World Health Organization (WHO). Under the grant conditions of the Bill and Melinda Gates Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission.
Funding Information:
The authors appreciate the support received from the JiVitA project, Bangladesh site, the staff and pregnant women attending services at the Kalafong Hospital Antenatal Clinic in South Africa; and the Regional, District and Wards authorities in Tanzania. We are grateful to the following members of the research teams at each site for their work and dedication during data collection:—Tanzania: Anzigara Lipingu, Abdurazack Nurmohamed Abdulkadili, Anastazia Paulo Mwara, and Vallentine Mteki;—Bangladesh: the nurse team, Riva Rani, Shahanaj Akter, Afrin Akter, Sabita Rani, Shahonaz Akter, Neela Zaman and Anjuman A Begum, and the IT team, Khurshid Alam; and—South Africa: Sisters Connie Malapane, Tilly Masemene, Magdalene Nkome, Susan Keena, Mr Thabang Maluleka and Mr Clive Khubayi. We thank the drivers, administrators, and field supervisor teams for their efforts to ensure smooth operation of the field work activities; the study participants, whose cooperation and voluntary participation made this study successful; Rezwanul Haque for technological and data management support; Robert Tilya for reviewing the study documents; Nichole Young-Lin for developing the standard operating procedures of the study; Metin Gülmezoglu, Lale Say, and Olufemi Oladapo for their support in conducting the study; Ona for the development of the e-CRF and Biospectal for the development of the blinded research version of the smartphone application (CamBP). Lastly, we are grateful to the guidance from the independent data review panel: Tabassum Firoz, and Oommen John, and George Stergiou. This work was funded by the Bill and Melinda Gates Foundation (grant number OPP1201339) and the UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), a cosponsored programme executed by the World Health Organization (WHO). Under the grant conditions of the Bill and Melinda Gates Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - Undetected and unmonitored hypertension carries substantial mortality and morbidity, especially during pregnancy. We assessed the accuracy of OptiBPTM, a smartphone application for estimating blood pressure (BP), across diverse settings. The study was conducted in community settings: Gaibandha, Bangladesh and Ifakara, Tanzania for general populations, and Kalafong Provincial Tertiary Hospital, South Africa for pregnant populations. Based on guidance from the International Organization for Standardization (ISO) 81,060–2:2018 for non-invasive BP devices and global consensus statement, we compared BP measurements taken by two independent trained nurses on a standard auscultatory cuff to the BP measurements taken by a research version of OptiBPTM called CamBP. For ISO criterion 1, the mean error was 0.5 ± 5.8 mm Hg for the systolic blood pressure (SBP) and 0.1 ± 3.9 mmHg for the diastolic blood pressure (DBP) in South Africa; 0.8 ± 7.0 mmHg for the SBP and −0.4 ± 4.0 mmHg for the DBP in Tanzania; 3.3 ± 7.4 mmHg for the SBP and −0.4 ± 4.3 mmHg for the DBP in Bangladesh. For ISO criterion 2, the average standard deviation of the mean error per subject was 4.9 mmHg for the SBP and 3.4 mmHg for the DBP in South Africa; 6.3 mmHg for the SBP and 3.6 mmHg for the DBP in Tanzania; 6.4 mmHg for the SBP and 3.8 mmHg for the DBP in Bangladesh. OptiBPTM demonstrated accuracy against ISO standards in study populations, including pregnant populations, except in Bangladesh for SBP (criterion 2). Further research is needed to improve performance across different populations and integration within health systems.
AB - Undetected and unmonitored hypertension carries substantial mortality and morbidity, especially during pregnancy. We assessed the accuracy of OptiBPTM, a smartphone application for estimating blood pressure (BP), across diverse settings. The study was conducted in community settings: Gaibandha, Bangladesh and Ifakara, Tanzania for general populations, and Kalafong Provincial Tertiary Hospital, South Africa for pregnant populations. Based on guidance from the International Organization for Standardization (ISO) 81,060–2:2018 for non-invasive BP devices and global consensus statement, we compared BP measurements taken by two independent trained nurses on a standard auscultatory cuff to the BP measurements taken by a research version of OptiBPTM called CamBP. For ISO criterion 1, the mean error was 0.5 ± 5.8 mm Hg for the systolic blood pressure (SBP) and 0.1 ± 3.9 mmHg for the diastolic blood pressure (DBP) in South Africa; 0.8 ± 7.0 mmHg for the SBP and −0.4 ± 4.0 mmHg for the DBP in Tanzania; 3.3 ± 7.4 mmHg for the SBP and −0.4 ± 4.3 mmHg for the DBP in Bangladesh. For ISO criterion 2, the average standard deviation of the mean error per subject was 4.9 mmHg for the SBP and 3.4 mmHg for the DBP in South Africa; 6.3 mmHg for the SBP and 3.6 mmHg for the DBP in Tanzania; 6.4 mmHg for the SBP and 3.8 mmHg for the DBP in Bangladesh. OptiBPTM demonstrated accuracy against ISO standards in study populations, including pregnant populations, except in Bangladesh for SBP (criterion 2). Further research is needed to improve performance across different populations and integration within health systems.
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U2 - 10.1038/s41746-023-00804-z
DO - 10.1038/s41746-023-00804-z
M3 - Article
C2 - 37069209
AN - SCOPUS:85153223651
SN - 2398-6352
VL - 6
JO - npj Digital Medicine
JF - npj Digital Medicine
IS - 1
M1 - 69
ER -