Conectar
by Patrick Kaggwa, Juliet Nabbuye Sekandi, Mcdonald Kerone Adenike, Peter Nabende, Sarah Nabukeera, Kenneth Kidonge Katende, Esther Buregyeya, Nazarius Mbona Tumwesigye
BackgroundUnique patient identification is often challenging in healthcare systems, especially in low- and middle-income countries. Digital facial recognition is a promising alternative to traditional identification methods. This pilot study explores the perceptions and attitudes of healthcare workers towards using facial recognition technology in a healthcare setting in Uganda.
MethodsWe conducted an explorative qualitative study using key informant interviews with healthcare workers in Kampala, Uganda, to assess perceptions and attitudes towards digital facial recognition. We interviewed a total of 10 healthcare workers, including five doctors and five nurses, aged 20–39 years, with at least one year of professional experience. A trained interviewer provided a brief overview and demonstration of the facial recognition application and then used an open-ended interview guide to elicit responses about perceptions and attitudes. The interviews were audio recorded and transcribed verbatim. Data obtained from Key Informant Interviews were manually analyzed using thematic content analysis.
ResultsOverall, the healthcare workers perceived digital facial recognition as a more effective and acceptable way to identify patients who receive service at outpatient clinics. Four themes emerged, including: i) Challenges affecting current patient identification standards, ii) Healthcare workers’ views on facial recognition, iii) Perceived digital facial recognition implementation challenges, and iv) Solutions to challenges of digital facial recognition. The healthcare workers recommended ensuring the protection patients’ images privacy, providing adequate technological infrastructure in clinics, and securing stable internet access for the successful implementation of digital facial recognition.
ConclusionOur exploratory study indicates that overall, healthcare workers have a positive perception of the digital facial recognition application. However, it is crucial to acknowledge and address concerns regarding confidentiality and privacy to pave the way for the future implementation of the system.
This study aimed to investigate the relationship between coping strategies and compassion fatigue among healthcare professionals in Central Uganda.
A facility-based cross-sectional study conducted between June and July 2023. Three tools were used for data collection: a socio-demographic survey, the Professional Quality of Life Scale (ProQOL-5) and the Brief-Coping, Orientation to Problem Experienced tool. Participants were asked to recall experiences from the previous 30 days.
The study was conducted in five prominent hospitals in Central Uganda.
A total of 548 healthcare providers, including 191 physicians, 256 nurses and 103 technicians.
Compassion fatigue scores.
Most participants were under 29 years old (50.9%) and women (62.0%). High levels of compassion fatigue were reported by 37.8% of participants. Active coping, self-distraction and denial were associated with higher compassion fatigue, while informational support, positive reframing and venting were linked to lower fatigue levels. Seeking social support effectively reduced compassion fatigue.
The findings highlight significant compassion fatigue among healthcare providers in Central Uganda, impacting their well-being and patient care. Coping strategies like active problem-solving and social support are promising in mitigating compassion fatigue. Interventions should focus on reducing self-distraction, enhancing problem-solving skills and fostering supportive work environments to improve healthcare workers’ well-being and patient care quality.
FreshRSS 