Effects of real-time electronic data entry on HIV programme data quality in Lusaka, Zambia.

Setting: Human immunodeficiency virus (HIV) clinics in five hospitals and five health centres in Lusaka, Zambia, which transitioned from daily entry of paper-based data records to an electronic medical record (EMR) system by dedicated data staff (Electronic-Last) to direct real-time data entry into the EMR by frontline health workers (Electronic-First).

Objective: To compare completeness and accuracy of key HIV-related variables before and after transition of data entry from Electronic-Last to Electronic-First.

Design: Comparative cross-sectional study using existing secondary data.

Home deliveries in the capital: a qualitative exploration of barriers to institutional deliveries in peri-urban areas of Lusaka, Zambia.

Background: A shortage of skilled birth attendants and low quality of care in health facilities along with unattended home deliveries contribute to the high maternal and neonatal mortality in sub Saharan Africa. Identifying and addressing context-specific reasons for not delivering at health care facilities could increase births assisted by skilled attendants who, if required, can provide life-saving interventions.

Methods: We conducted 22 in-depth interviews (IDIs) with midwives at three health facilities in peri-urban communities and 24 semi-structured surveys with mothers in two areas served by health facilities with the highest number of reported home deliveries in Lusaka, Zambia.

Can we predict detrusor overactivity in women with lower urinary tract symptoms? The King's Detrusor Overactivity Score (KiDOS).

Objective: Traditionally, urodynamic studies (UDS) have been used to assess lower urinary tract symptoms (LUTS), but their routine use is now discouraged. While urodynamic stress incontinence is strongly associated with the symptom of stress urinary incontinence (SUI) and a positive cough test, there is a weak relationship between symptoms of overactive bladder and detrusor overactivity (DO). The aim of our study was to develop a model to predict DO in women with LUTS.