Department of Nursing
Permanent URI for this collectionhttps://repository.chuka.ac.ke/handle/chuka/255
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Item PUHE 473: HUMAN POPULATION DYNAMICS AND HEALTH(Chuka University, 2024-12-19) Chuka UniversityItem PUHE 371: BEHAVIORAL SCIENCE(Chuka University, 2024-12-19) Chuka UniversityItem PUHE 251: ANATOMY AND PHYSIOLOGY OF FOOD ANIMALS(Chuka University, 2024-12-19) Chuka UniversityItem PUHE 241/PUHU 141: COMMUNITY HEALTH I(Chuka University, 2024-12-19) Chuka UniversityItem PUHE 241/PUHU 141: COMMUNITY HEALTH I(Chuka University, 2024-12-19) Chuka UniversityItem NURU 132/HRIM 131: MEDICAL SOCIOLOGY AND ANTHROPOLOGY(Chuka University, 2024-12-19) Chuka UniversityItem NURU 123: CLINICAL CHEMISTRY(Chuka University, 2024-12-19) Chuka UniversityItem NURS 279: PRIMARY HEALTH CARE(Chuka University, 2024-12-19) Chuka UniversityItem NURS 273: COMMUNITY HEALTH II(Chuka University, 2024-12-19) Chuka UniversityItem NURS 224: HUMAN PATHOLOGY II(Chuka University, 2024-12-19) Chuka UniversityItem NURS 192: HEALTH ASSESSMENT(Chuka University, 2024-12-19) Chuka UniversityItem NUMS 848: DERMATOLOGY NURSING(Chuka University, 2024-12-19) Chuka UniversityItem NUMS 846: NEUROLOGY AND NEUROSURGICAL NURSING(Chuka University, 2024-12-19) Chuka UniversityItem NUMS 846: NEUROLOGY AND NEUROSURGICAL NURSING(Chuka University, 2024-12-19) Chuka UniversityItem HRIM 251: MEDICAL DATA CLASSIFICATION(Chuka University, 2024-12-19) Chuka UniversityItem HNDS 371: NUTRITION EPIDEMIOLOGY(Chuka University, 2024-12-19) Chuka UniversityItem HNDS 423: FOOD AND NUTRITION SECURITY(Chuka University, 2024-12-16) Chuka UniversityItem DETERMINANTS OF PERIOPERATIVE RISKS ASSOCIATED WITH SURGICAL OUTCOMES AMONG ADULT PATIENTS UNDERGOING ELECTIVE SURGERY AT CHUKA COUNTY REFERRAL HOSPITAL, KENYA(Chuka University, 2023-10) MWANGI VIRGINIA MUTHONIMore than 313 million surgical procedures are carried out annually worldwide, with surgical mortality and complications estimated to range in affluent countries between 0.4-0.8% and 3-17%, respectively as reported by World Health Organization. In Africa, surgical patients are twice as likely to die following surgery when compared to the global average for postoperative fatalities. In Kenya, a national system for tracking perioperative mortality rate and surgical volume has not been established although a surgical target 5000 procedures per 100,000 populations has been set. It is important to understand the perioperative risks and their prevention in order to reduce length of hospital stays and avoid suffering and loss of life that result from complications of surgical procedures. This study aimed at determining the perioperative risks associated with surgical outcomes among patients undergoing elective surgery at Chuka County Referral Hospital, Kenya. The study was guided by the following specific objectives; to determine how patient related perioperative risks influences surgical outcomes, to determine how procedure related perioperative risks influences surgical outcomes, to establish how health system related perioperative risks influences surgical outcomes among patients undergoing elective surgery at Chuka County referral hospital. The study adopted a descriptive cross-sectional design. The study targeted all the surgical patients that were undergoing elective surgery annually at Chuka County Referral hospital. Published reports from the hospital records during the year 2021 indicated that 2005 patients underwent elective surgery at the hospital. A sample size of 202 patients was achieved through systematic sampling method. Both structured questionnaire and interview schedule were used to collect data. Quantitative information for each variable under examination was described using frequencies and percentages. At a 5% level of significance, a Chi square was employed to evaluate the association between perioperative risks factors and surgical outcomes. The study concluded that risks factors such as obesity, malnutrition, presence of comorbidities as well as harmful alcohol consumption and cigarette smoking have adverse effects on surgical outcomes among patients undergoing elective surgery with a p-value<0.05. Therefore, appropriate interventions for the surgical environment should be considered. Complexity of a surgical procedure and duration of procedure are firmly regarded to be risk factors for surgical outcome (pain levels, blood loss Post-operative nausea and vomiting) among patients undergoing elective surgery with p-value<0.05. Thus, surgical team should use judgment to accurately determine the risks associated with the surgery's perioperative period and whether further testing is necessary. Also, prolonged hospital stay was attributed to slow wound healing, wound infections, elevated blood sugar and financial constraints. Out-of-pocket payment can result in high medical expenditure such as surgical charges and other associated cost. Thus there is need for emphasis on importance of enrollment of general population in NHIF scheme. It is anticipated that the findings of this study will provide necessary information useful to policy makers in policy formulation and implementation of vision 2023, health workers and patients undergoing elective surgery on perioperative risks and associated surgical outcome. This will guarantee patients’ undergoing elective surgery positive surgical outcomes with minimal complications and reduced morbidity and mortality rates.Item DETERMINANTS OF HIGH INCIDENCE RATE OF MENTAL DISORDERS AMONG YOUTHS IN CHUKA SUB-COUNTY, KENYA(Chuka University, 2019-09) Kaburi, John MwitiYouth are most vulnerable to mental disorders and psychological disturbances than any other group in the society. Globally, mental disorders amongst the youths have been on increase with one fourth to one-third of the youths and adolescents experiencing these disorders across their lifetime. Kenya mental health policy 2015 – 2030 states that: about 40% of in patients youths in hospitals suffer from mental illness. In Tharaka Nithi County, statistical reports for the year 2014 indicate that there was a total of 1,966 mentally ill persons who visited the health facilities. Chuka sub-county hospital had a total of 806 in-patients diagnosed with mental disorders. Out of the 806 patients, 216 were youths aged 15 – 35 years representing 41%. This high percentage of youths admitted with mental disorders necessitated the study. The current study sought to find the risk factors for mental disorders among the youths in Chuka Sub County. Six locations were conveniently sampled, after which proportion of participants from each selected location was calculated. Individual participants were purposively sampled. The study adopted a cross-sectional survey design to collect data from 384 youths who were sampled through convenience sampling technique. Structured questionnaires were used to collect data. Data was analyzed using Statistical Package for Social Science (SPSS) version 24. Frequencies and percentages were used to present descriptive statistics while Chi Square test of independence was used to test the relationship between the dependent and independent variables. Significant results were then be subjected to logistic regression analysis. Majority of the youths were male, 74%. Those who were aged between 21-25 were 42.5%, 15-20 years were 28%, 31-35 years were 28% and 25-30 years were 0.5%. Majority of the youths had secondary education, 58.8%, followed by college 21.5%, primary 12.2% and university at 7.5%. A big percentage of the youths, 63% were single by the time of study, 34.7% were married and 2.3% had divorced or separated. The following demographic factors were associated with high risk of developing mental disorders; age of the youth (p=0.022), level of education of the youth ( p<0.001), marital status of the youths (p=0.018), significant social risk factors included; youth discrimination (p=0.016), bullying by fellow students (p<0.001), mistreatment while growing up (p=0.013), and frequency of family conflicts, on economic risk factors, significant factors included; satisfaction with income earned (p=0.018), youth straining to fund social needs (p=0.046), and family financial support (p<0.001). Significant environmental risk factors included; area of residence (p=0.025), youths’ participation in societal civic activities (p=0.020) and crime rate at the youths’ area of residence (p<0.001). In conclusion, the study found interplay between social and economic variables which increased the risk of developing mental disorders among the youths. These socioeconomic risk factors compounded with environmental exposures increased the risk of developing mental disorders among the youths. The study recommended, that these interpretations of these findings should be done with caution, as inferences about real cause cannot be made.Item DETERMINANTS OF HIGH INCIDENCE RATE OF MENTAL DISORDERS AMONG YOUTHS IN CHUKA SUB-COUNTY, KENYA(Chuka University, 2020-12) MWITI, KABURI JOHNDETERMINANTS OF HIGH INCIDENCE RATE OF MENTAL DISORDERS AMONG YOUTHS IN CHUKA SUB-COUNTY, KENYA