21 research outputs found
Neonatal mortality at the neonatal unit: the situation at a teaching hospital in Ghana
Background: The first 28 days of life- the neonatal period is the most vulnerable time for a child’s survival. Globally, neonatal mortality has seen a downward trend in recent years. The main objective of this study was to determine the percentage of neonatal mortality and to provide information on factors associated with neonatal mortality at the neonatal unit of a tertiary health facility or teaching hospital.Methods: Data of neonates admitted to the neonatal in-patient unit of the Komfo Anokye Teaching Hospital (KATH) in Ghana from January 2013 to May 2014 were analyzed. Logistic regression model was performed to assess the association between neonatal mortality and predictors.Results: A total of 5,195 neonatal admissions were recorded. The overall percentage of neonatal mortality was 20.2%. Infants with very low birth weight, having 5-minute Apgar score lower than 4, newborns with pre-term delivery, being referred from other health facilities, and being diagnosed with respiratory distress and birth asphyxia had a higher percentage of neonatal mortality.Conclusion: The mortality at the neonatal in-patient unit at the Komfo Anokye Teaching Hospital in Ghana is very high. There is the need for continuous attention and interventions to help reduce the risk of mortality among neonates admitted to the facility.Keywords: Logistic regression, neonatal mortality, Kumasi
Neonatal mortality at the neonatal unit: the situation at a teaching hospital in Ghana
Background: The first 28 days of life- the neonatal period is the most
vulnerable time for a child\u2019s survival. Globally, neonatal
mortality has seen a downward trend in recent years. The main objective
of this study was to determine the percentage of neonatal mortality and
to provide information on factors associated with neonatal mortality at
the neonatal unit of a tertiary health facility or teaching hospital.
Methods: Data of neonates admitted to the neonatal in-patient unit of
the Komfo Anokye Teaching Hospital (KATH) in Ghana from January 2013 to
May 2014 were analyzed. Logistic regression model was performed to
assess the association between neonatal mortality and predictors.
Results: A total of 5,195 neonatal admissions were recorded. The
overall percentage of neonatal mortality was 20.2%. Infants with very
low birth weight, having 5-minute Apgar score lower than 4, newborns
with pre-term delivery, being referred from other health facilities,
and being diagnosed with respiratory distress and birth asphyxia had a
higher percentage of neonatal mortality. Conclusion: The mortality at
the neonatal in-patient unit at the Komfo Anokye Teaching Hospital in
Ghana is very high. There is the need for continuous attention and
interventions to help reduce the risk of mortality among neonates
admitted to the facility
Assessment of facility readiness for implementing the WHO/UNICEF standards for improving quality of maternal and newborn care in health facilities - experiences from UNICEF's implementation in three countries of South Asia and sub-Saharan Africa.
BACKGROUND: There is a global drive to promote facility deliveries but unless coupled with concurrent improvement in care quality, it might not translate into mortality reduction for mothers and babies. The World Health Organization published the new "Standards for improving quality of care for mothers and newborns in health facilities" but these have not been tested in low- and middle-income settings. UNICEF and its partners are taking the advantage provided by the Mother and Baby Friendly Hospital Initiative in Bangladesh, Ghana and Tanzania to test these standards to inform country adaptation. This manuscript presents a framework used for assessment of facility quality of care to inform the effect of quality improvement interventions. METHODS: This assessment employed a quasi-experimental design with pre-post assessments in "implementation" and "comparison" facilities-the latter will have no quality improvement interventions implemented. UNICEF and assessment partners developed an assessment framework, developed uniform data collection tools and manuals for harmonised training and implementation across countries. The framework involves six modules assessing: facility structures, equipment, drugs and supplies; policies and guidelines supporting care-giving, staff recruitment and training; care-providers competencies; previous medical records; provider-client interactions (direct observation); and client perspectives on care quality; using semi-structured questionnaires and data collectors with requisite training. In Bangladesh, the assessment was conducted in 3 districts. In one "intervention" district, the district hospital and five upazilla health complexes were assessed. similar number of facilities were assessed each two adjoining comparison districts. In Ghana it was in three hospitals and five health centres and in Tanzania, two hospitals and four health centres. In the latter countries, same number of facilities were selected in the same number of districts to serve for comparison. Outcomes were structured to examine whether facilities currently provide services commensurate with their designation (basic or comprehensive emergency obstetric and newborn care). These outcomes were stratified so that they inform intervention implementation in the short-, medium- and long-term. CONCLUSION: This strategy and framework provides a very useful model for supporting country implementation of the new WHO standards. It will serve as a template around which countries can build quality of care assessment strategies and metrics to inform their health systems on the effect of QI interventions on care processes and outcomes
Depression and risk factors for depression among mothers of sick infants in Kumasi, Ghana
ObjectiveTo describe the prevalence of and risk factors for depression in a high‐risk population of mothers of ill newborns in Ghana.MethodsSemi‐structured interviews were conducted with women who had a hospitalized newborn at a tertiary teaching hospital in Kumasi, Ghana. Surveys included information on maternal demographics, pregnancy and delivery, interpersonal violence, and social support. Postpartum depression was measured with the Patient Health Questionnaire (PHQ)‐9. Bivariable analysis was conducted using analysis of variance, χ2, and Fisher exact tests; multivariable analysis was performed using multinomial logistic regression.ResultsIn total, 153 women completed the survey. Fifty (32.7%) had PHQ‐9 scores of 5–9, indicating mild depression; 42 (27.4%) had PHQ‐9 scores of 10–14, indicating moderate depression; and 15 (9.8%) had scores of 15 or higher, indicative of moderate/severe depression. History of interpersonal violence with current partner predicted depression.ConclusionMothers of sick infants in Ghana are at high risk for symptoms of clinical depression. This is of critical importance because maternal depression affects infant health outcomes and may be particularly important for mothers of sick infants.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135602/1/ijgo228.pd
Perception and practice of Kangaroo Mother Care after discharge from hospital in Kumasi, Ghana: A longitudinal study
BACKGROUND: The practice of Kangaroo Mother Care (KMC) is life saving in babies weighing less than 2000 g. Little is known about mothers' continued unsupervised practice after discharge from hospitals. This study aimed to evaluate its in-hospital and continued practice in the community among mothers of low birth weight (LBW) infants discharged from two hospitals in Kumasi, Ghana. METHODS: A longitudinal study of 202 mothers and their inpatient LBW neonates was conducted from November 2009 to May 2010. Mothers were interviewed at recruitment to ascertain their knowledge of KMC, and then oriented on its practice. After discharge, the mothers reported at weekly intervals for four follow up visits where data about their perceptions, attitudes and practices of KMC were recorded. A repeated measure logistic regression analysis was done to assess variability in the binary responses at the various reviews visits. RESULTS: At recruitment 23 (11.4%, 95%CI: 7.4 to 16.6%) mothers knew about KMC. At discharge 95.5% were willing to continue KMC at home with 93.1% willing to practice at night. 95.5% thought KMC was beneficial to them and 96.0% beneficial to their babies. 98.0% would recommend KMC to other mothers with 71.8% willing to practice KMC outdoors.At first follow up visit 99.5% (181) were still practicing either intermittent or continuous KMC. This proportion did not change significantly over the four weeks (OR: 1.4, 95%CI: 0.6 to 3.3, p-value: 0.333). Over the four weeks, increasingly more mothers practiced KMC at night (OR: 1.7, 95%CI: 1.2 to 2.6, p = 0.005), outside their homes (OR: 2.4, 95%CI: 1.7 to 3.3, p < 0.001) and received spousal help (OR: 1.6, 95%CI: 1.1 to 2.4, p = 0.007). Household chores and potentially negative community perceptions of KMC did not affect its practice with odds of 0.8 (95%CI: 0.5 to 1.2, p = 0.282) and 1.0 (95%CI: 0.6 to 1.7, p = 0.934) respectively. During the follow-up period the neonates gained 23.7 sg (95%CI: 22.6 g to 24.7 g) per day. CONCLUSION: Maternal knowledge of KMC was low at outset. Once initiated mothers continued practicing KMC in hospital and at home with their infants gaining optimal weight. Continued KMC practice was not affected by perceived community attitudes
Anthropometric measurements: options for identifying low birth weight newborns in Kumasi, Ghana.
BackgroundIn Ghana, 32% of deliveries take place outside a health facility, and birth weight is not measured. Low birth weight (LBW) newborns who are at increased risk of death and disability, are not identified; 13%-14% of newborns in Ghana are LBW. We aimed at determining whether alternative anthropometrics could be used to identify LBW newborns when weighing scales are not available to measure birth weight.MethodsWe studied 973 mother and newborn pairs at the Komfo Anokye Teaching and the Suntreso Government hospitals between November 2011 and October 2012. We used standard techniques to record anthropometric measurements of newborns within 24 hours of birth; low birth weight was defined as birth weight ResultsOne-fifth (21.7%) of newborns weighed less than 2.5 kg. Among LBW newborns, the following measurements had the highest correlations with birth weight: chest circumference (r = 0.69), mid-upper arm circumference (r = 0.68) and calf circumference (r = 0.66); the areas under the curves of these three measurements demonstrated the highest accuracy in determining LBW newborns. Chest, mid-upper arm and calf circumferences at cut-off values of ≤ 29.8 cm, ≤ 9.4 cm and ≤ 9.5 cm respectively, had the best combination of maximum sensitivity, specificity and predictive values for identifying newborns with LBW.ConclusionsAnthropometric measurements, such as the chest circumference, mid-upper arm circumference and calf circumference, offer an opportunity for the identification of and subsequent support for LBW newborns in settings in Ghana, where birth weights are not measured by standardized weighing scales
Comparison of the AUC of chest circumference and AUC estimates of other anthropometric measurements among LBW babies.
<p>* <b><i>p-value adjusted for multiple comparisons using Bonferroni's Method.</i></b></p><p>Comparison of the AUC of chest circumference and AUC estimates of other anthropometric measurements among LBW babies.</p
Pairwise correlation between birth weight groups and various anthropometric measurements.
<p>Pairwise correlation between birth weight groups and various anthropometric measurements.</p
Predictive values of anthropometric measurements that identify LBW newborns.
<p>Predictive values of anthropometric measurements that identify LBW newborns.</p