Rajesh Vedanthan1, Jemima H Kamano2, Carol R Horowitz3, Deborah Ascheim3, Eric J Velazquez4, Sylvester Kimaiyo5, Valentin Fuster6. 1. Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: rajesh.vedanthan@mssm.edu. 2. Moi Teaching and Referral Hospital, Eldoret, Kenya. 3. Icahn School of Medicine at Mount Sinai, New York, NY. 4. Duke University, Durham, North Carolina. 5. Moi University College of Health Sciences, Eldoret, Kenya. 6. Icahn School of Medicine at Mount Sinai, New York, NY; Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain.
Abstract
BACKGROUND: Hypertension is the leading global risk factor for mortality. Hypertension treatment and control rates are low worldwide, and insufficient human resource capacity is among the contributing factors. Thus, a critical component of hypertension management is to develop novel and effective solutions to the human resources challenge. One potential solution is task redistribution and nurse management of hypertension in these settings. OBJECTIVES: The aim of this study is to investigate whether nurses can effectively reduce blood pressure in hypertensive patients in rural western Kenya and, by extension, throughout sub-Saharan Africa. METHODS: An initial phase of qualitative inquiry will assess facilitators and barriers of nurse management of hypertension. In addition, we will perform usability and feasibility testing of a novel, electronic tablet-based integrated decision-support and record-keeping tool for the nurses. An impact evaluation of a pilot program for nurse-based management of hypertension will be performed. Finally, a needs-based workforce estimation model will be used to estimate the nurse workforce requirements for stable, long-term treatment of hypertension throughout western Kenya. FINDINGS: The primary outcome measure of the impact evaluation will be the change in systolic blood pressure of hypertensive individuals assigned to nurse-based management after 1 year of follow-up. The workforce estimation modeling output will be the full-time equivalents of nurses. CONCLUSIONS: This study will provide evidence regarding the effectiveness of strategies to optimize task redistribution and nurse-based management of hypertension that can be applicable to noncommunicable disease management in low- and middle-income countries.
BACKGROUND:Hypertension is the leading global risk factor for mortality. Hypertension treatment and control rates are low worldwide, and insufficienthuman resource capacity is among the contributing factors. Thus, a critical component of hypertension management is to develop novel and effective solutions to the human resources challenge. One potential solution is task redistribution and nurse management of hypertension in these settings. OBJECTIVES: The aim of this study is to investigate whether nurses can effectively reduce blood pressure in hypertensivepatients in rural western Kenya and, by extension, throughout sub-Saharan Africa. METHODS: An initial phase of qualitative inquiry will assess facilitators and barriers of nurse management of hypertension. In addition, we will perform usability and feasibility testing of a novel, electronic tablet-based integrated decision-support and record-keeping tool for the nurses. An impact evaluation of a pilot program for nurse-based management of hypertension will be performed. Finally, a needs-based workforce estimation model will be used to estimate the nurse workforce requirements for stable, long-term treatment of hypertension throughout western Kenya. FINDINGS: The primary outcome measure of the impact evaluation will be the change in systolic blood pressure of hypertensive individuals assigned to nurse-based management after 1 year of follow-up. The workforce estimation modeling output will be the full-time equivalents of nurses. CONCLUSIONS: This study will provide evidence regarding the effectiveness of strategies to optimize task redistribution and nurse-based management of hypertension that can be applicable to noncommunicable disease management in low- and middle-income countries.
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