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Journal articles on the topic 'Pumwani Maternity Hospital'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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1

Kinanu, Lucy, Eunice Odhiambo, James Mwaura, and Michael Habtu. "Cord Care Practices and Omphalitis among Neonates Aged 3 - 28 Days at Pumwani Maternity Hospital, Kenya." Journal of Biosciences and Medicines 04, no. 01 (2016): 27–36. http://dx.doi.org/10.4236/jbm.2016.41004.

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2

Mwangi, Daniel K., Stanley K. Waithaka, and Alfred O. Odongo. "Risky behavioral factors associated with preterm deliveries among women of childbearing age (15-49 years) at Pumwani Maternity Hospital, Nairobi County, Kenya." International Journal Of Community Medicine And Public Health 8, no. 9 (August 27, 2021): 4161. http://dx.doi.org/10.18203/2394-6040.ijcmph20213513.

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Background: Worldwide, pre-term delivery (PTD) or pre-term birth (PTB) is on the rise. World Health Organization (WHO) data shows an increase from 2 million in 1990 to 2.2 million in 2012 with about 60% of the preterm deliveries occurring in developing countries and 12.3% in Kenya. The study objective was to determine risky behavioral factors associated with preterm deliveries 1among women of childbearing age (15- 49 years) at Pumwani Maternity Hospital (PMH).Methods: Maternity delivery register (MDR) was used to identify and recruit eligible study participants. A sampling frame constituting of serial numbers assigned to the mothers was made. Data was collected using pretested and structured questionnaire and a data abstraction tool. The statistical package for social sciences (SPSS) version 23 was used to perform statistical analysis. Descriptive statistics were used to summarize categorical variables. Chi-square was used to examine the differences among the categorical variables. Prevalence adjusted odds ratios (PAOR) with their respective 95% confidence interval (CI) was used to estimate the strengths of associations.Results: The study recorded proportional differences among the study variables in their association with preterm deliveries. Among them, 100%, 40%, 22.2% and 17.1% of the mothers who used firewood, charcoal, kerosene and gas/electricity respectively had preterm deliveries.Conclusions: There was no statistically significant association between the study variables (general maternal smoking, maternal smoking during pregnancy, husband smoking, husband smoking during pregnancy, main household type of fuel) and preterm delivery.
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3

Mwangi, Daniel K., Stanley K. Waithaka, and Alfred O. Odongo. "Medical and obstetric factors associated with preterm deliveries among women of childbearing age at Pumwani maternity hospital, Nairobi County, Kenya." International Journal Of Community Medicine And Public Health 8, no. 5 (April 27, 2021): 2180. http://dx.doi.org/10.18203/2394-6040.ijcmph20211735.

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Background: The rate of pre-term birth (PTB) in Kenya stands at 12.3%. Preterm deliveries are associated with high neonatal mortality and have a huge financial burden on the parents and the government. Prematurity is also associated with chronic diseases like diabetes and hypertension in adult life. The study objective was to determine the medical1and obstetric factors1associated1with preterm deliveries among women of childbearing age (15-49 years) at Pumwani maternity hospital (PMH).Methods: A hospital-based cross-sectional study was conducted among 191 mothers of reproductive age (15-49 years) who delivered at PMH during the study period. Data was collected using a questionnaire and a data abstraction tool. Descriptive statistics were used to summarize categorical variables. Chi-square was used to test for the strengths of associations. Prevalence adjusted odds ratios (PAOR) were used to estimate the strengths of associations.Results: The study found that the association between past pregnancy (p=1.0), history of surgery (p=1.0), medication (p=1.0), urinary tract infection (p=0.453), miscarriage (p=1.0) and chronic disease (p=0.395) and preterm delivery among women of child bearing age (15-49 years) at PMH was not statistically significant. The association between premature delivery (p=0.021), parity (p=0.000), premature rapture of membranes (PROM) (p=0.000), antepartum hemorrhage (APH) (p=0.045), cervical incompetence (p=0.001), pre-eclampsia toxemia (PET) (p=0.000), and placenta abruption complications (p=0.009) and preterm delivery was statistically significant.Conclusions: The association between premature delivery, parity, PROM, APH, cervical incompetence, PET and placenta abruption complications and preterm delivery was statistically significant.
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4

Clement, Nyaboke,, Gesimba, Beatrice, and Juma, Rose. "Assessment of Knowledge of Kenya’s Breast Milk Substitutes Act (2012) among Nurses in Mbagathi and Pumwani Hospital, Kenya." Galore International Journal of Health Sciences and Research 6, no. 2 (June 15, 2021): 48–53. http://dx.doi.org/10.52403/gijhsr.20210407.

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Breast Milk Substitutes Regulation and Control Act, 2012 aimed to provide for appropriate marketing and distribution of breast milk substitutes, safe and adequate nutrition for infants, through the promotion of breast-feeding and proper use of breast milk substitutes. Nurses are responsible for providing information about benefits of breastfeeding to help the new mother to make a fully informed decision about infant nutrition. The aim of this study was to determine nurses' knowledge on the recommendations of the BMS Act in Mbagathi and Pumwani Hospitals, Nairobi County. This study used a cross-sectional descriptive research/study design. The target population were nurses who all work in maternity wards because of their responsibility for counseling mothers on infant nutrition. The study used a sample of 200 nurses. Questionnaires were use to collect data. Data analysis involved descriptive statistics and chi-square Analysis with the help of SPSS. Majority (68%) of the respondents had high knowledge. There was a significant relationship (p=0.014) between the level of education and nurses knowledge on BMS. Nurse’s knowledge on the recommendations of the BMS Act was generally high. Nurses with bachelors and postgraduate degree were more likely to have high knowledge than those with certificates and diplomas in nursing. Diploma curriculum therefore needs to be bolstered to include current recommendations of breastfeeding in line with the BMS Act. Keywords: Breastfeeding, Breast Milk Substitutes Regulation and Control Act, Nurses knowledge.
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5

Onyango, Hellen A., Carolyne Ngugi, John Maina, and John Kiiru. "Urinary Tract Infection among Pregnant Women at Pumwani Maternity Hospital, Nairobi, Kenya: Bacterial Etiologic Agents, Antimicrobial Susceptibility Profiles and Associated Risk Factors." Advances in Microbiology 08, no. 03 (2018): 175–87. http://dx.doi.org/10.4236/aim.2018.83012.

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6

Mbuthia, OW, EN Ndonga, SO Odiwour, and MW Muraguri. "Factors associated with antibiotic prescription among healthcare workers at tertiary hospitals in Nairobi County, Kenya." Annals of Health Research 6, no. 2 (May 17, 2020): 158–70. http://dx.doi.org/10.30442/ahr.0602-05-78.

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Background: Globally, there has been an overall decline in the effectiveness of antibiotics resulting in an upsurge in bacterial resistance, increased cost of healthcare and consequent high morbidity and mortality rates. Objective: To determine antibiotic prescription practices among healthcare workers at the Kenyatta National Hospital, Mbagathi, Pumwani Maternity and Mama Lucy Kibaki Hospitals, Nairobi, Kenya. Methods: The study design was a mixture of quantitative and qualitative methods. Self-administered questionnaires were used to gather information from 230 prescribing healthcare workers. Interviews and Focus Group Discussions (FGDs) were conducted purposively with the prescribing healthcare workers and patients to obtain qualitative data. Results: There was a significant difference in the distribution of study participants with regards to the availability of antibiotics prescribing policy (p = 0.05). Only 53 (23%) prescribers prescribed antibiotics as per the policy guide while 51 (22.2%) did not and 126 (54.8%) were not sure. Oral antibiotics (OR = 0.5, 95%CI 0.3-0.9), always referring to the 2016 Kenya Essential Medicines List (KEML) to prescribe antibiotics (OR = 4.2, 95%CI 1.3-13.1), separating antibiograms for inpatient and outpatient departments (OR = 4.3, 95%CI 1.11-15.5), and confidence of healthcare workers to prescribe antibiotics without laboratory tests (OR = 0.3, 95%CI 0.2-0.8) were associated with the prescription of antibiotics. Conclusion: There is need to improve antibiotic prescription practices among healthcare workers in public tertiary hospitals in Nairobi County to promote rational antibiotic use and control bacterial resistance.
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7

Okube, Okubatsion Tekeste, Waithira Mirie, Eunice Odhiambo, Wakasiaka Sabina, and Michael Habtu. "Prevalence and Factors Associated with Anaemia among Pregnant Women Attending Antenatal Clinic in the Second and Third Trimesters at Pumwani Maternity Hospital, Kenya." Open Journal of Obstetrics and Gynecology 06, no. 01 (2016): 16–27. http://dx.doi.org/10.4236/ojog.2016.61003.

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8

Ginsburg, Amy Sarah, Evangelyn Nkwopara, William Macharia, Roseline Ochieng, Mary Waiyego, Guohai Zhou, Roman Karasik, Shuai Xu, and J. Mark Ansermino. "Evaluation of non-invasive continuous physiological monitoring devices for neonates in Nairobi, Kenya: a research protocol." BMJ Open 10, no. 4 (April 2020): e035184. http://dx.doi.org/10.1136/bmjopen-2019-035184.

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IntroductionContinuous physiological monitoring devices are often not available for monitoring high-risk neonates in low-resource settings. Easy-to-use, non-invasive, multiparameter, continuous physiological monitoring devices could be instrumental in providing appropriate care and improving outcomes for high-risk neonates in these low-resource settings.Methods and analysisThe purpose of this prospective, observational, facility-based evaluation is to provide evidence to establish whether two existing non-invasive, multiparameter, continuous physiological monitoring devices developed by device developers, EarlySense and Sibel, can accurately and reliably measure vital signs in neonates (when compared with verified reference devices). We will also assess the feasibility, usability and acceptability of these devices for use in neonates in low-resource settings in Africa. Up to 500 neonates are enrolled in two phases: (1) a verification and accuracy evaluation phase at Aga Khan University—Nairobi and (2) a clinical feasibility evaluation phase at Pumwani Maternity Hospital in Nairobi, Kenya. Both quantitative and qualitative data are collected and analysed. Agreement between the investigational and reference devices is determined using a priori-defined accuracy thresholds.Ethics and disseminationThis trial was approved by the Aga Khan University Nairobi Research Ethics Committee and the Western Institutional Review Board. We plan to disseminate research results in peer-reviewed journals and international conferences.Trial registration numberNCT03920761.
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9

Karoki, Anne Wanjiru, and Dr Patrick Mwangangi. "Influence of Contract Management on Performance of Public Hospitals in Nairobi City County, Kenya." International Journal of Supply Chain and Logistics 4, no. 1 (October 14, 2020): 46. http://dx.doi.org/10.47941/ijscl.v4i1.457.

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Purpose: The study sought to establish the influence of contract management on performance of public hospitals in Nairobi City County, Kenya.Methodology: This study employed descriptive research design. The study reviewed both theoretical and empirical literature and then proposed the research methodology that addressed the gaps identified in literature as well as to validate the statistical hypotheses. The researcher preferred this method because it allows an in-depth study of the subject. The study population was all public hospitals in Kenya. To gather data, structured questionnaire was used to collect data from 76 staff in procurement, administration and finance departments from the four largest public hospitals in Nairobi County; Kenyatta National Hospital, Mama Lucy Kibaki Hospital, Mbagathi District Hospital and Pumwani Maternity. The target population was all public hospitals in Nairobi City County. The target population was first stratified then using simple random sampling among the four strata, select the samples. The study combined two methods in its data collection that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analysis was used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Findings: R square value of 0.647 means that 64.7% of the corresponding variation in performance of public hospitals in Kenya can be explained or predicted by (contract planning, monitoring and evaluation, contractor relationship management and dispute resolution) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.647), p=0.000 <0.05). The findings of the study concluded that contract planning, monitoring and evaluation, contractor relationship management, dispute resolution have a positive relationship with performance of public hospitals in Kenya.Unique contribution to theory, practice and policy: The study recommended that public institutions should embrace contract management practices so as to improve performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.
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10

Karoki, Anne Wanjiru, and Dr Patrick Mwangangi. "Influence of Contract Management on Performance of Public Hospitals in Nairobi City County, Kenya." Human Resource and Leadership Journal 5, no. 1 (October 14, 2020): 51. http://dx.doi.org/10.47941/hrlj.456.

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Purpose: The study will help unearth the influence of contract management on performance of public hospitals in Nairobi City County, Kenya.Methodology: This study employed descriptive research design. The study reviewed both theoretical and empirical literature and then proposed the research methodology that addressed the gaps identified in literature as well as to validate the statistical hypotheses. The researcher preferred this method because it allows an in-depth study of the subject. The study population was all public hospitals in Kenya. To gather data, structured questionnaire was used to collect data from 76 staff in procurement, administration and finance departments from the four largest public hospitals in Nairobi County; Kenyatta National Hospital, Mama Lucy Kibaki Hospital, Mbagathi District Hospital and Pumwani Maternity. The target population was all public hospitals in Nairobi City County. The target population was first stratified then using simple random sampling among the four strata, select the samples. The study combined two methods in its data collection that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analysis was used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Findings: R square value of 0.647 means that 64.7% of the corresponding variation in performance of public hospitals in Kenya can be explained or predicted by (contract planning, monitoring and evaluation, contractor relationship management and dispute resolution) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.647), p=0.000 <0.05). The findings of the study concluded that contract planning, monitoring and evaluation, contractor relationship management, dispute resolution have a positive relationship with performance of public hospitals in Kenya.Unique contribution to theory, practice and policy: The study recommended that public institutions should embrace contract management practices so as to improve performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.
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11

Karoki, Anne Wanjiru, and Dr Patrick Mwangangi. "Influence of Contract Management on Performance of Public Hospitals in Nairobi City County, Kenya." International Journal of Supply Chain and Logistics 4, no. 1 (October 14, 2020): 46–69. http://dx.doi.org/10.47941/ijscl.457.

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Purpose: The study sought to establish the influence of contract management on performance of public hospitals in Nairobi City County, Kenya.Methodology: This study employed descriptive research design. The study reviewed both theoretical and empirical literature and then proposed the research methodology that addressed the gaps identified in literature as well as to validate the statistical hypotheses. The researcher preferred this method because it allows an in-depth study of the subject. The study population was all public hospitals in Kenya. To gather data, structured questionnaire was used to collect data from 76 staff in procurement, administration and finance departments from the four largest public hospitals in Nairobi County; Kenyatta National Hospital, Mama Lucy Kibaki Hospital, Mbagathi District Hospital and Pumwani Maternity. The target population was all public hospitals in Nairobi City County. The target population was first stratified then using simple random sampling among the four strata, select the samples. The study combined two methods in its data collection that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analysis was used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Findings: R square value of 0.647 means that 64.7% of the corresponding variation in performance of public hospitals in Kenya can be explained or predicted by (contract planning, monitoring and evaluation, contractor relationship management and dispute resolution) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.647), p=0.000 <0.05). The findings of the study concluded that contract planning, monitoring and evaluation, contractor relationship management, dispute resolution have a positive relationship with performance of public hospitals in Kenya.Unique contribution to theory, practice and policy: The study recommended that public institutions should embrace contract management practices so as to improve performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained.
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12

Adipo, Auma, Diana Ondieki, Omondi Ogutu, and Anne Pulei. "Association between the Length of Interpregnancy Interval and Pregnancy Outcomes in Women with One Previous Caeserian Section Undergoing a Repeat Caeserian Delivery at Term at Pumwani Maternity Hospital between 2014 and 2018 a Cross-Sectional Study." Open Journal of Obstetrics and Gynecology 11, no. 02 (2021): 80–87. http://dx.doi.org/10.4236/ojog.2021.112010.

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13

Waweru, J., O. Mugenda, and E. Kuria. "Anaemia in the context of pregnancy and HIV/AIDS: A case of Pumwani Maternity Hospital in Nairobi, Kenya." African Journal of Food, Agriculture, Nutrition and Development 9, no. 2 (March 27, 2009). http://dx.doi.org/10.4314/ajfand.v9i2.19226.

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14

Mochache, Kingi, Muthoni Mathai, Onesmus Gachuno, Ann Vander Stoep, and Manasi Kumar. "Depression during pregnancy and preterm delivery: a prospective cohort study among women attending antenatal clinic at Pumwani Maternity Hospital." Annals of General Psychiatry 17, no. 1 (July 25, 2018). http://dx.doi.org/10.1186/s12991-018-0202-6.

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15

Mgamb, Elizabeth, Zeinab Gura, Peter Wanzala, Jane Githuku, and Anselimo Makokha. "Folate deficiency and utilization of folic acid fortified flour among pregnant women attending antenatal clinic at Pumwani Maternity Hospital, Kenya, 2015." Pan African Medical Journal 28 (2017). http://dx.doi.org/10.11604/pamj.supp.2017.28.1.9296.

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16

Mochache, Kingi, Muthoni Mathai, Onesmus Gachuno, Ann Vander Stoep, and Manasi Kumar. "Correction to: Depression during pregnancy and preterm delivery: a prospective cohort study among women attending antenatal clinic at Pumwani Maternity Hospital." Annals of General Psychiatry 17, no. 1 (October 5, 2018). http://dx.doi.org/10.1186/s12991-018-0210-6.

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