UNASSIGNED: To uncover variables linked to breast cancer patient satisfaction in order to improve policy choices and actions for breast cancer care in Ghana.
UNASSIGNED: We employed a cross-sectional design using a quantitative approach.
UNASSIGNED: The Radiotherapy, Oncology and Surgery Departments of the Korle Bu Teaching Hospital, Accra.
UNASSIGNED: Inpatient and outpatient breast cancer patients.
UNASSIGNED: The level of inpatient and outpatient satisfaction was measured using descriptive and inferential statistical analyses. The Shapiro-Wilk test was employed to assess normality, while the Heckman selection model assessed significance with outcomes of interest.
UNASSIGNED: A total of 636 participants, with a mean age of 52.64±14.07 years, were recruited. The measured inpatient and outpatient levels of satisfaction out of 100 were 74.06±7.41 and 49.99±1.00 respectively, while the self-reported satisfaction levels out of 5 were 4.22±0.63 and 4.11±0.85 respectively. The level of inpatient satisfaction was significantly influenced by age, marital status, income level, and number of previous facilities visited (p<0.05). Outpatient satisfaction level was significantly associated with place of residence and income level (p<0.05).
UNASSIGNED: The study offers insight into the satisfaction levels of breast cancer patients receiving inpatient and outpatient services at the largest tertiary referral centre and teaching hospital in Ghana, as well as the factors influencing attendance and satisfaction levels. Understanding and improving breast cancer patients\' levels of satisfaction is a way that providers can safeguard their emotional well-being. Improvement in patient satisfaction at our institution among outpatients is an area for future growth.
UNASSIGNED: Gardner-Holt Women\'s Health Grant program, Centre for Global Surgery 2021.

BACKGROUND: The modified early warning score (MEWS) is an objective measure of illness severity that promotes early recognition of clinical deterioration in critically ill patients. Its primary use is to facilitate faster intervention or increase the level of care. Despite its adoption in some African countries, MEWS is not standard of care in Ghana. In order to facilitate the use of such a tool, we assessed whether MEWS, or a combination of the more limited data that are routinely collected in current clinical practice, can be used predict to mortality among critically ill inpatients at the Korle-Bu Teaching Hospital in Accra, Ghana.
OBJECTIVE: The aim of this study was to identify the predictive ability of MEWS for medical inpatients at risk of mortality and its comparability to a measure combining routinely measured physiologic parameters (limited MEWS [LMEWS]).
METHODS: We conducted a retrospective study of medical inpatients, aged ≥13 years and admitted to the Korle-Bu Teaching Hospital from January 2017 to March 2019. Routine vital signs at 48 hours post admission were coded to obtain LMEWS values. The level of consciousness was imputed from medical records and combined with LMEWS to obtain the full MEWS value. A predictive model comparing mortality among patients with a significant MEWS value or LMEWS ≥4 versus a nonsignificant MEWS value or LMEWS <4 was designed using multiple logistic regression and internally validated for predictive accuracy, using the receiver operating characteristic (ROC) curve.
RESULTS: A total of 112 patients were included in the study. The adjusted odds of death comparing patients with a significant MEWS to patients with a nonsignificant MEWS was 6.33 (95% CI 1.96-20.48). Similarly, the adjusted odds of death comparing patients with a significant versus nonsignificant LMEWS value was 8.22 (95% CI 2.45-27.56). The ROC curve for each analysis had a C-statistic of 0.83 and 0.84, respectively.
CONCLUSIONS: LMEWS is a good predictor of mortality and comparable to MEWS. Adoption of LMEWS can be implemented now using currently available data to identify medical inpatients at risk of death in order to improve care.