scholarly journals HEALTHCARE PROVIDER PATIENT VERBAL LANGUAGE USE ON DIABETES MELLITUS MANAGEMENT PRACTICES IN SELECTED HOSPITALS IN KENYA

2021 ◽  
Vol 7 (2) ◽  
pp. 61-98
Author(s):  
Geoffrey Ungaya ◽  
Hellen Mberia ◽  
Kyalo Wa Ngula ◽  
William Sigilai ◽  
Saira Sokwalla

Purpose: To establish the effect of healthcare provider patient verbal language use on diabetes mellitus management practices in selected hospital in Kenya. Methodology: This was a causal comparative research study design with application of quantitative and qualitative methodology. The study was carried out at the outpatient diabetic clinics of Kenyatta National Hospital and MP Shah Hospital. 400 patient participants were involved in the study and comprised of 313 patients at Kenyatta National Hospital (KNH) and 87 patients at MP Shah respectively studied between the months of February 2019 and November 2019. A researcher administered questionnaire was used to collect data. The results were summarized using percentages and means or medians for categorical and continuous data respectively. Comparisons were done using chi square test of association of categorical variables and independent t-test for comparison of means. Linear regression and ANOVA were used to test for associations and hypothesis between healthcare provider patient verbal language use (VLU) and diabetes mellitus management practices (DMMPs). Results: Patients at MP Shah Hospital rated the verbal language use significantly higher than the patients at KNH (p< 0.001). However, linear regression analysis showed that verbal language use was not statistically significant overall in Kenya [β=0.04, (95% CI -0.09, 0.17), p=0.552], at KNH [β=0.05, (95% CI -0.10, 0.19), p=0.513] and MP Shah Hospital [β=0.09, (95% CI -0.21, 0.39), p=0.552]; (P > 0.05), hence the failure to reject the null hypothesis. Therefore, there was no significant effect of verbal language use by the healthcare provider and the patient on diabetes mellitus management practices in selected hospitals Kenya. Unique contribution to theory, practice and policy: Verbal language use though important in healthcare provider patient interactions was not responsible for improvement in the diabetes mellitus management practices among the patients. Therefore, verbal language use by the healthcare providers in their communication interaction with patients need to be reinforced in healthcare practice to ensure improved DMMPs. Strategies should be developed to enhance verbal language use through educational curriculum development and implementation at the medical training institutions.

2021 ◽  
Vol 6 (3) ◽  
pp. 1-41
Author(s):  
Geoffrey Ungaya ◽  
Kyalo Wa Ngula ◽  
Hellen Mberia ◽  
William Sigilai ◽  
Saira Sokwalla

Purpose: To examine the effect of healthcare provider patient communication nonverbal communicative behaviour on diabetes mellitus management practices in selected hospital in Kenya. Methodology: This was a causal comparative research design study with application of quantitative methodology. The study was carried out at Kenyatta National Hospital (KNH) and MP Shah Hospital. Systematic random sampling was used to sample patients. 400 participants were involved in the study and comprised 313 patients at KNH and 87 patients at MP Shah Hospital studied between the months of February 2019 and November 2019. The researcher administered questionnaire was used to collect data. The results were summarized using percentages and means or medians for categorical and continuous data respectively. Comparisons were done using chi square test of association of categorical variables and independent t-test for comparison of means. Linear regression and ANOVA were used to test for associations and hypothesis between healthcare provider patient nonverbal communicative behaviour (NVCB) and diabetes mellitus management practices (DMMPs). Findings: The rating of nonverbal communicative behavior was significantly higher at MP Shah Hospital than at KNH, p=0.010. Nonverbal communicative behavior had positive significant effect on diabetes mellitus management practices in Kenya [β=0.15, (95% CI 0.03, 0.27), p=0.016] with similar outcome at KNH [β=0.20, (95% CI 0.08, 0.33), p=0.002] and not at MP Shah Hospital [β=0.03, (95% CI 0.37, 0.42), p=0.899]. Thus, the null hypothesis was rejected in Kenya; the null hypothesis was rejected at KNH; the null hypothesis was not rejected at MP Shah Hospital. Therefore, there was significant effect of NVCB on DMMPs in Kenya, at KNH and not at MP Shah Hospital. Unique contribution to theory, practice and policy: Nonverbal communicative behaviour was responsible for improved performance in diabetes mellitus management practices among patients in Kenya and at KNH. At MP Shah Hospital, NVCB was not responsible for improvement in the DMMPs. The findings reinforce uncertainty reduction and communication accommodation theories basis in the dyadic interaction between patients and healthcare providers. Therefore, NVCB needs to be well conceptualized and incorporated at the health ministry and medical training institutions to equip medical workers with the required communication skills.


2017 ◽  
Vol 1 (1) ◽  
pp. 22
Author(s):  
Dr. Daniel K. Wanjaria ◽  
Prof. Koigi Kamau

Purpose: The purpose of this study was to correlate fetal weight estimation by ultrasound and clinical methods with actual birth weight in KNH.Methodology: This is a prospective comparative study. The design was suitable because it enabled comparison of the predictive value, sensitivity and specificity in estimating fetal weight which is known after birth. Study area was KNH Obstetric wards. The study population was all pregnant women admitted to obstetric wards for elective caesarean delivery and study period was February -March 2016. Data was analysed using SPSS version 20. Categorical variables were presented as proportions in tables and graphs, bars or pie charts). Continuous variable were summarized as means or medians and presented in table form.Results: The findings show that the correlation between actual weight and Ultra Sound estimated weight was significant (r=0.65, p<0.000). The findings further showed that the proportion of Ultra Sound methods estimations within 10% of the actual birth weight was 44% of the overall weights. Clinical methods estimations within 10% of the actual birth weight were 47% of the overall weights. The mean difference between actual birth weights and ultra sound estimated weights were statistically insignificantThe findings revealed that the correlation between actual weight and clinical methods estimated weight was stronger (r=0.79, p<0.000) as compared to the correlation between actual weight and Ultra Sound estimated weight (r=0.65, p<0.000).Unique contribution to theory, practice and policy: The finding of this study may influence further studies and decision on estimation of fetal weight. If clinical estimation is equal or same as ultrasound estimation then it can be recommended that all mothers undergo this instead of ultrasound for estimation of fetal weight. The results may be shared with the University of Nairobi, Kenyatta National Hospital and the Ministry of Health and any policy change resulting from this can be rolled down to counties.


Author(s):  
Ria Hayatun Nur ◽  
Indahwati A ◽  
Erfiani A

In this globalization era, health is the most important thing to be able to run various activities. Without good health, this will hinder many activities. Diabetes mellitus is one of the diseases caused by unhealty lifestyle.There are many treatments that can be done to prevent the occurrence of diabetes. The treatments are giving the insulin and also checking the glucose rate to the patients.Checking the glucose rate needs the tools which is safety to the body. This research want to develop non invasive tool which is safety and do not injure the patient. The purpose of this research is also finding the best model which derived from Linear, Quadratic, and Cubic Spline Regression. Some respondents were taking to get the glucose measuring by invasive and non invasive tools. It could be seen clearly that Spline Linear Regression was the best model than Quadratic and Cubic Spline Regression. It had 70% and 33.939 for R2 and RMSEP respectively.


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