How Best to Obtain Valid, Verifiable Data Online From Male Couples? Lessons Learned From an eHealth HIV Prevention Intervention for HIV-Negative Male Couples.
How Best to Obtain Valid, Verifiable Data Online From Male Couples? Lessons Learned From an eHealth HIV Prevention Intervention for HIV-Negative Male Couples.
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DOI：
10.2196/publichealth.6392
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发表时间：
2016-09-20
影响因子：
8.5
通讯作者：
Stephenson R
中科院分区：
文献类型：
--
作者：
Mitchell J;Lee JY;Stephenson R
随着人们越来越关注为男同性恋夫妇开发电子保健人类免疫缺陷病毒（艾滋病毒）预防干预措施，还必须开发基于网络的方法，以帮助增加登记的夫妇和从他们那里收集的数据代表真正独特的二人组的可能性。缺乏从夫妇双方成员招募和收集可靠有效数据的方法，但对于采取新的性健康和预防艾滋病毒的电子保健干预措施至关重要。文献中也缺乏描述使用Facebook上的定向广告招募男性伴侣的最佳做法的方法，但也有助于这种吸收。我们研究的目的是描述两个阶段的挑战和经验教训（发展阶段和在线随机对照试验[RCT]）的eHealth艾滋病毒预防干预一致的艾滋病毒阴性男性夫妇方面（1）招募男性夫妇使用有针对性的广告在Facebook上，（2）验证数据来自两个合作伙伴的夫妇，以及（3）验证该对夫妇的两个伴侣彼此处于关系中。开发阶段通过面对面的焦点小组改进干预措施，而试点测试阶段包括在线RCT。在这两个阶段，夫妇都是通过有针对性的Facebook广告招募的。广告引导男性进入研究网页和筛选器;一旦合格，参与者以电子方式提供同意。在同意过程中嵌入了一个伙伴推荐系统，以招募参与者的关系伙伴。这对夫妇中的两个人都必须满足所有的资格标准--个人和夫妇--才能参加这项研究。夫妇关系的验证是通过从双方的合作伙伴，手动完成在开发阶段和电子在试点测试阶段的预定筛选项目的同时进行评估。一个系统的决策规则的开发，以评估数据的有效性，来自两个独特的合作伙伴的一对夫妇。从这些经验中吸取了一些重要的教训，从而为今后涉及男性夫妇的电子保健研究提出了建议。应避免在定向Facebook广告中使用某些“兴趣”和图像类型（例如，赤膊），因为这些兴趣和图像类型可能会引起更广泛受众的不良反应。强烈建议制定一种系统的方法，规定预先确定的标准和参数，以核实男性夫妇的关系。此外，鼓励研究人员开发一个决策规则系统，以检测和处理可疑数据（例如，可疑的电子邮件地址/姓名，多个条目，多个条目中使用的同一IP地址），以帮助验证男性伴侣在线关系的合法性。这些经验教训与未来研究的建议相结合，旨在帮助加强招聘工作和有效性和可靠性的收集从男性夫妇的新型电子保健艾滋病毒预防干预措施的二元数据。
As interest increases in the development of eHealth human immunodeficiency virus (HIV)-preventive interventions for gay male couples, Web-based methods must also be developed to help increase the likelihood that couples enrolled and data collected from them represent true unique dyads. Methods to recruit and collect reliable and valid data from both members of a couple are lacking, yet are crucial for uptake of novel sexual health and HIV-prevention eHealth interventions. Methods to describe best practices to recruit male couples using targeted advertisements on Facebook are also lacking in the literature, yet could also help in this uptake. The objective of our study was to describe challenges and lessons learned from experiences from two phases (developmental phase and online randomized controlled trial [RCT]) of an eHealth HIV-prevention intervention for concordant HIV-negative male couples in terms of (1) recruiting male couples using targeted advertisements on Facebook, (2) validating that data came from two partners of the couple, and (3) verifying that the two partners of the couple are in a relationship with each other. The developmental phase refined the intervention via in-person focus groups, whereas the pilot-testing phase included an online RCT. For both phases, couples were recruited via targeted Facebook advertisements. Advertisements directed men to a study webpage and screener; once eligible, participants provided consent electronically. A partner referral system was embedded in the consenting process to recruit the relationship partner of the participant. Both men of the couple had to meet all eligibility criteria—individually and as a couple—before they could enroll in the study. Verification of couples’ relationships was assessed via the concurrence of predetermined screener items from both partners, done manually in the developmental phase and electronically in the pilot-testing phase. A system of decision rules was developed to assess the validity that data came from two unique partners of a couple. Several important lessons were learned from these experiences, resulting in recommendations for future eHealth studies involving male couples. Use of certain “interests” and types of images (eg, shirtless) in targeted Facebook advertisements should be avoided or used sparingly because these interests and types of images may generate adverse reactions from a broader audience. Development of a systematic approach with predetermined criteria and parameters to verify male couples’ relationships is strongly recommended. Further, researchers are encouraged to develop a system of decision rules to detect and handle suspicious data (eg, suspicious email addresses/names, multiple entries, same IP address used in multiple entries) to help validate the legitimacy of male couples’ relationships online. These lessons learned combined with recommendations for future studies aim to help enhance recruitment efforts and the validity and reliability of collecting dyadic data from male couples for novel eHealth HIV-preventive interventions.