mHealth (mobile technologies for health) represents a growing array of tools being applied in diverse health care settings. mHealth interventions for improving HIV/AIDS care is a promising strategy, but its evidence-base is limited. We conducted a formative research evaluation to inform the development of novel, mHealth HIV/AIDS care interventions to be used by community health workers (CHWs) in Kampala, Uganda. A mixed methods formative research approach was utilized. Qualitative methods included 20 in-depth interviews and 6 focus groups with CHWs, clinic staff, and patients. Thematic analysis was performed and selected quotations used to illustrate themes. Quantitative methods consisted of a survey administered to CHWs and clinic staff using categorical and Likert scale questions regarding current mobile phone and internet access and perceptions on the potential use of smartphones by CHWs. Qualitative results included themes on significant current care challenges, multiple perceived mHealth benefits, and general intervention acceptability. Key mHealth features desired included tools to verify CHW task completions, clinical decision support tools, and simple access to voice calling. Inhibiting factors identified included concerns about CHW job security and unrealistic expectations of mHealth capabilities. Quantitative results from 27 staff participants found that 26 (96%) did not have internet access at home; yet, only 2 (7.4%) did not own a mobile phone. Likert scale survey responses (1–5, 1=Strongly Disagree, 5=Strongly Agree) indicated general agreement that smartphones would improve efficiency (Mean=4.35) and patient care (4.31) but might be harmful to patient confidentiality (3.88) and training was needed (4.63). Qualitative and quantitative results were generally consistent, and, overall, there was enthusiasm for mHealth technology. However, a number of potential inhibiting factors were also discovered. Findings from this study may help guide future design and implementation of mHealth interventions in this setting, optimizing their chances for success.

Personal exposure of nail salon workers to 10 phthalates and 19 organophosphate esters (OPEs) was assessed in 18 nail salons in Toronto, Canada. Active air samplers (n = 60) and silicone passive samplers, including brooches (n = 58) and wristbands (n = 60), were worn by 45 nail salon workers for ∼8 working hours. Diethyl phthalate (median = 471 ng m–3) and diisobutyl phthalate (337 ng m–3) were highest in active air samplers. Most abundant OPEs in active air samplers were tris­(2-chloroisopropyl)­phosphate or TCIPP (303 ng m–3) and tris­(2-chloroethyl)­phosphate or TCEP (139 ng m–3), which are used as flame retardants but have not been reported for use in personal care products or nail salon accessories. Air concentrations of phthalates and OPEs were not associated with the number of services performed during each worker’s shift. Within a single work shift, a combined total of 16 (55%) phthalates and OPEs were detected on passive silicone brooches; 19 (66%) were detected on wristbands. Levels of tris­(2-chloroisopropyl)­phosphate, tris­(1,3-dichloro-2-propyl)­phosphate or TDCIPP, and triphenyl phosphate or TPhP wristbands were significantly higher than those worn by e-waste workers. Significant correlations (p < 0.05) were found between the levels of some phthalates and OPEs in silicone brooches and wristbands versus those in active air samplers. Stronger correlations were observed between active air samplers versus brooches than wristbands. Sampler characteristics, personal characteristics, and chemical emission sources are the three main factors proposed to influence the use of passive samplers for measuring semi-volatile organic compound exposure.

Developing capacity for HIV research and clinical practice is critically needed in resource-limited countries. The purpose of this study was to evaluate a research capacity building program for community-based participants in preparation and conduct of mHealth interventions. A descriptive, cross-sectional design was used. Participants completed self-report surveys at three time points. Thirty-three participated in the situational analysis and all (100%) felt that the research training was needed. For the interim evaluation, over 96.8% (n=30) reported increased knowledge and confidence and attributed this to the training. Fourteen participants completed the final evaluation. Dedicated time from work was an important factor to facilitate recruitment and data collection followed by financial incentives to commute to data collection sites. Expertise through supervision and mentorship for participants and sustained funding for research projects are critical to innovation for improved HIV prevention and care outcomes.