Medication adherence is a growing concern to clinicians and healthcare providers in psychiatric communities, mounting evidence of the prevalence of non-adherence have been significantly associated with undesirable health outcomes and burdensome healthcare expenditure. This study examined medication adherence in psychiatric patients exposed to psychotomimetic medications and how therapeutic relationship predicts the level of medication adherence. This study was a cross-sectional survey design. Snowballing sampling technique was used to select psychiatric out-patients. The total number of participants for this study was thirty-six (36), males (65%) and females (35%). Majority of participants were between the ages of 31-50 years. Participants responded to Morinsky Medication Adherence Scale (α=0.91), Liverpool University Neuroleptic Side-Effect Scale (α= 0.89), and Therapeutic Relationship Scale (patient version) (α=0.71). Three hypotheses were formulated and tested using multiple regression analysis. Results of the multiple regression indicate that psychotomimetic side-effects inversely predicted medication adherence among psychiatric patients exposed to psychotomimetic drugs [β = .35, p <0.01]. Also, the outcome of the results indicated that therapeutic relationship was a significant predictor of medication adherence among psychiatric patients exposed to psychotomimetic drugs [β = .40, p <0.01]. Therefore, it was recommended that therapeutic relationship should be an integral part of the modalities in psychiatric treatment and to adopt best practices by effectively communicating with patients about the importance of adhering to treatment plans; and provide medication support services to patients and family caregivers. This helps to improve, build a sustainable therapeutic relationship (nurse-patient) through empathy and professional intimacy that facilitates diagnosis accuracy, and desired health outcome.
This study examined the roles of collaborative shiftwork schedule and procedural justice as predictors of clinical decision-making in managed care practice among a selected sample of health workers in Abuja, Nigeria. The study was survey design conducted among 197 healthcare workers were selected using convenient sample from public and private healthcare institutions in Abuja. The Bergen Shift Work Sleep Questionnaire (BSWSQ) developed by Flo et al. (2012) was used to assess shiftwork collaborative scheduling. Procedural justice was measured using the Procedural Justice Scale (OJS) developed by Niehoff and Moorman (1993). While The Clinical Decision-Making Survey (CDMS) developed by Ferrell et al. (1991) was used to measure clinical decision-making. The result revealed that shiftwork did show significant relationship with clinical decision-making among psychiatric nurses [r (197) = .451, p <. 01]. Results from the multiple regression showed that procedural justice significantly predicted clinical decision-making among healthcare workers [? = .331, p <0.01]. The result of this study suggest that healthcare workers who engage in shift-schedule with a high perception of procedural justice have higher propensity to provide enhanced clinical decision-making at the workplace. The Nigerian healthcare reforms and policies should be reviewed, specifying issues relating to collaborative shiftwork for healthcare workers.
This study examined social support and gender differences as correlates of self-esteem: Implications for improving health among patients living with HIV/AIDS in Ondo State, Nigeria. Using accidental sampling technique, one hundred and ninety-eight patients were tested. The dimensions of social support were measured using scale of Perceived Social Support Assessment and self-esteem was measured using the Rosenberg Self-Esteem Scale. In order to determine the extent and direction of associations among the study variables, Pearson Product Moment Correlation (PPMC) analysis was conducted. Multiple Regression analysis was then used to test hypothesis 1, 2, and 3. The study revealed that social support had a significant positive relationship with self-esteem The result indicated that gender significantly predicted influence on self-esteem [β = .23; t = .27; p > 0.05]. The result also revealed that social support significantly predicted self-esteem [β = .31; t = .27; p > 0.05]. On the contribution of all the independent variables (gender differences and social support) to the prediction of self-esteem, the outcome of the summary in Table 4.2 signify that all the independent variables when pulled together yield a multiple R of .21 and R2 of .045 [ F (2, 198) = 18.19*, p < 0.01]. Based on the result of the study, it was recommended that government organizations, non-governmental organization, religious organization and communities should all take part in giving the PLWH a holistic support and encouragement needed pending the time they spend in recovery until they begin full adult functional life.
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