Midwives in rural Ghana work at the frontline of the healthcare system, where they have access to essential data about the patient population. However, current methods of data capture, primarily pen and paper, make the data neither accessible nor usable for monitoring patient care or program evaluation. Electronic health (eHealth) systems present a potential mechanism for enhancing the roles of midwives by providing tools for collecting, exchanging, and viewing patient data as well as offering midwives the possibility for receiving information and decision support. Introducing such technology in low-resource settings has been challenging due to low levels of user acceptance, software design that does not match the end-user environment, and/or unforeseen challenges, such as irregular power availability. These challenges are often attributable to a lack of understanding by the software developers of the end-users’ needs and work environment. A mobile health (mHealth) application, known as mClinic was designed to support midwife access to the Millennium Village-Global Network (MVG-Net), an eHealth delivery platform that captures data for managing patient care as well as program evaluation and monitoring, decision-making and management. We conducted a descriptive usability study comprised of three phases to evaluate an mClinic prototype: 1) hybrid lab-live software evaluation of mClinic to identify usability issues; 2) completion of a usability questionnaire; and 3) interviews that included low-fidelity prototyping of new functionality proposed by midwives. The heuristic evaluation identified usability problems related to four of eight usability categories. Analysis of usability questionnaire data indicated that the midwives perceived mClinic as useful but were more neutral about the ease-of-use. Analysis of midwives’ reactions to low-fidelity prototypes during the interview process supported the applicability of mClinic to midwives’ work and identified the need for additional functionality. User acceptance is essential for the success of any mHealth implementation. Usability testing identified mClinic development flaws and needed software enhancements.

BackgroundThe recent Ebola Virus Disease (EVD) epidemic that hit some countries in West Africa underscores the need to train front line high-risk health workers on disease prevention skills. Although Ghana did not record (and is yet to) any case, and several health workers have received numerous training schemes, there is no record of any study that assessed preparedness of healthcare workers (HCWS) regarding EVD and any emergency prone disease in Ghana. We therefore conducted a hospital based cross sectional study involving 101 HCWs from two facilities in Kumasi, Ghana to assess the level of preparedness of HCWs to respond to any possible EVD.MethodsWe administered a face-to-face questionnaire using an adapted WHO (2015) and CDC (2014) Checklist for Ebola Preparedness and assessed overall knowledge gaps, and preparedness of the Ghanaian HCWs in selected health facilities of the Ashanti Region of Ghana from October to December 2015.ResultsA total 92 (91.09%) HCWs indicated they were not adequately trained to handle an EVD suspected case. Only 25.74% (n = 26) considered their facilities sufficiently equipped to handle and manage EVD patients. When asked which disinfectant to use after attending to and caring for a suspected patient with EVD, only 8.91% (n = 9) could correctly identify the right disinfectant (χ2 = 28.52, p = 0.001).ConclusionOur study demonstrates poor knowledge and ill preparedness and unwillingness of many HCWs to attend to EVD. Beyond knowledge acquisition, there is the need for more training from time to time to fully prepare HCWs to handle any possible EVD case.

Resistance to Tuberculosis drugs has become a major threat to the control of tuberculosis (TB) globally. We conducted the first nation-wide drug resistance survey to investigate the level and pattern of resistance to first-line TB drugs among newly and previously treated sputum smear-positive TB cases. We also evaluated associations between potential risk factors and TB drug resistance. Using the World Health Organization (WHO) guidelines on conducting national TB surveys, we selected study participants from 33 health facilities from across the country, grouped into 29 clusters, and included them into the survey. Between April 2016 and June 2017, a total of 927 patients (859 new and 68 previously treated) were enrolled in the survey. Mycobacterium tuberculosis complex (MTBC) isolates were successfully cultured from 598 (65.5%) patient samples and underwent DST, 550 from newly diagnosed and 48 from previously treated patients. The proportion of patients who showed resistance to any of the TB drugs tested was 25.2% (95% CI; 21.8–28.9). The most frequent resistance was to Streptomycin (STR) (12.3%), followed by Isoniazid (INH) (10.4%), with Rifampicin (RIF), showing the least resistance of 2.4%. Resistance to Isoniazid and Rifampicin (multi-drug resistance) was found in 19 (3.2%; 95% CI: 1.9–4.9) isolates. Prevalence of multidrug resistance was 7 (1.3%; 95% CI: 0.5–2.6) among newly diagnosed and 12 (25.0%; 95% CI: 13.6–39.6) among previously treated patients. At both univariate and multivariate analysis, MDR-TB was positively associated with previous history of TB treatment (OR = 5.09, 95% CI: 1.75–14.75, p = 0.003); (OR = 5.41, 95% CI: 1.69–17.30, p = 0.004). The higher levels of MDR-TB and overall resistance to any TB drug among previously treated patients raises concerns about adherence to treatment. This calls for strengthening existing TB programme measures to ensure a system for adequately testing and monitoring TB drug resistance.