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Assessing the quality of care in a new nation: South Sudan's first national health facility assessment
Author(s) -
Berendes Sima,
Lako Richard L.,
Whitson Donald,
Gould Simon,
Valadez Joseph J.
Publication year - 2014
Publication title -
tropical medicine and international health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 114
eISSN - 1365-3156
pISSN - 1360-2276
DOI - 10.1111/tmi.12363
Subject(s) - medicine , lot quality assurance sampling , health care , environmental health , population , staffing , health facility , nursing , family medicine , medical emergency , health services , cluster sampling , economic growth , economics
Objectives We adapted a rapid quality of care monitoring method to a fragile state with two aims: to assess the delivery of child health services in South Sudan at the time of independence and to strengthen local capacity to perform regular rapid health facility assessments. Methods Using a two‐stage lot quality assurance sampling ( LQAS ) design, we conducted a national cross‐sectional survey among 156 randomly selected health facilities in 10 states. In each of these facilities, we obtained information on a range of access, input, process and performance indicators during structured interviews and observations. Results Quality of care was poor with all states failing to achieve the 80% target for 14 of 19 indicators. For example, only 12% of facilities were classified as acceptable for their adequate utilisation by the population for sick‐child consultations, 16% for staffing, 3% for having infection control supplies available and 0% for having all child care guidelines. Health worker performance was categorised as acceptable in only 6% of cases related to sick‐child assessments, 38% related to medical treatment for the given diagnosis and 33% related to patient counselling on how to administer the prescribed drugs. Best performance was recorded for availability of in‐service training and supervision, for seven and ten states, respectively. Conclusions Despite ongoing instability, the Ministry of Health developed capacity to use LQAS for measuring quality of care nationally and state‐by‐state, which will support efficient and equitable resource allocation. Overall, our data revealed a desperate need for improving the quality of care in all states.