Gibson Dustin G, Pariyo George William, Wosu Adaeze C, Greenleaf Abigail R, Ali Joseph, Ahmed Saifuddin, Labrique Alain B, Islam Khaleda, Masanja Honorati, Rutebemberwa Elizeus, Hyder Adnan A
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
JMIR Res Protoc. 2017 May 5;6(5):e81. doi: 10.2196/resprot.7534.
Mobile phone ownership and access have increased rapidly across low- and middle-income countries (LMICs) within the last decade. Concomitantly, LMICs are experiencing demographic and epidemiologic transitions, where non-communicable diseases (NCDs) are increasingly becoming leading causes of morbidity and mortality. Mobile phone surveys could aid data collection for prevention and control of these NCDs but limited evidence of their feasibility exists.
The objective of this paper is to describe a series of sub-studies aimed at optimizing the delivery of interactive voice response (IVR) and computer-assisted telephone interviews (CATI) for NCD risk factor data collection in LMICs. These sub-studies are designed to assess the effect of factors such as airtime incentive timing, amount, and structure, survey introduction characteristics, different sampling frames, and survey modality on key survey metrics, such as survey response, completion, and attrition rates.
In a series of sub-studies, participants will be randomly assigned to receive different airtime incentive amounts (eg, 10 minutes of airtime versus 20 minutes of airtime), different incentive delivery timings (airtime delivered before survey begins versus delivery upon completion of survey), different survey introductions (informational versus motivational), different narrative voices (male versus female), and different sampling frames (random digit dialing versus mobile network operator-provided numbers) to examine which study arms will yield the highest response and completion rates. Furthermore, response and completion rates and the inter-modal reliability of the IVR and CATI delivery methods will be compared.
Research activities are expected to be completed in Bangladesh, Tanzania, and Uganda in 2017.
This is one of the first studies to examine the feasibility of using IVR and CATI for systematic collection of NCD risk factor information in LMICs. Our findings will inform the future design and implementation of mobile phone surveys in LMICs.
在过去十年中，低收入和中等收入国家（LMICs）的手机拥有量和使用率迅速增长。与此同时，LMICs正在经历人口结构和流行病学转变，非传染性疾病（NCDs）日益成为发病和死亡的主要原因。手机调查有助于收集这些非传染性疾病预防和控制的数据，但关于其可行性的证据有限。
本文的目的是描述一系列子研究，旨在优化交互式语音应答（IVR）和计算机辅助电话访谈（CATI）在LMICs中收集非传染性疾病风险因素数据的实施方式。这些子研究旨在评估诸如通话时长激励时间、金额和结构、调查介绍特征、不同抽样框架以及调查方式等因素对关键调查指标（如调查应答率、完成率和损耗率）的影响。
在一系列子研究中，参与者将被随机分配接受不同的通话时长激励金额（例如，10分钟通话时长与20分钟通话时长）、不同的激励发放时间（调查开始前发放通话时长与调查完成后发放）、不同的调查介绍（信息性与激励性）、不同的叙述声音（男性与女性）以及不同的抽样框架（随机数字拨号与移动网络运营商提供的号码），以研究哪些研究组将产生最高的应答率和完成率。此外，还将比较IVR和CATI交付方法的应答率、完成率以及模式间可靠性。
预计2017年在孟加拉国、坦桑尼亚和乌干达完成研究活动。
这是首批研究之一，旨在检验在LMICs中使用IVR和CATI系统收集非传染性疾病风险因素信息的可行性。我们的研究结果将为未来LMICs中手机调查的设计和实施提供参考。
