The prevalence of burnout and depression among medical doctors working in the Cape Town Metropole community health care clinics and district hospitals of the Provincial Government of the Western Cape : a cross-sectional study

Thesis (MMed)--Stellenbosch University, 2011.Aim: This study investigated burnout and depression among medical doctors in the context of work-related conditions and the role of resilience as a modifiable factor. Methods: A cross-sectional, observational study was conducted on all consenting medical doctors (N=132) working at Cape Town metropole primary health care facilities of the Provincial Government of the Western Cape. Data were collected from doctors at 27 facilities by means of a self-administered questionnaire battery containing socio-demographic information, the Beck Depression Inventory (BDI), the Maslach Burnout Inventory (MBI) and the Connor-Davidson Resilience Scale (CD-RISC). Results: Of 132 doctors included in the analysis, 76 % experienced burnout, as indicated by high scores on either the emotional exhaustion or depersonalisation subscales. In addition, 27% of doctors had cut-off scores on the BDI indicating moderate depression, while 3 % were identified with severe depression. The number of hours, work-load, working conditions and system-related frustrations were ranked as the most important contributing factors to burnout. More experienced doctors and those with higher resilience scores had lower levels of burnout as evident by lower scores on the emotional exhaustion and depersonalisation domains of the MBI. Conclusion: Both burnout and depression are prevalent problems among doctors working at district level and in communities. Resilience appears to be protective and may be a useful target for future intervention.AFRIKAANSE OPSOMMING: Geen opsomming beskikbaa

A conceptual framework for uncovering the hidden curriculum in private higher education

AbstractThe hidden curriculum has proven to be a challenging concept to understand and define. However, it remains an integral part of the curriculum within higher education. The literature reviewed addresses the development and different perspectives of the hidden curriculum. Specific focus was given to the hidden curriculum in private higher education, as the hidden curriculum is subjective and situational. The curriculum as the foundation of the hidden curriculum, the influence of the world of work as well as the lecturer on the hidden curriculum were further dimensions that were considered, to enable a conceptual framework of the hidden curriculum in private higher education. The conceptual framework was developed by making use of a concept mapping methodology. The conceptual framework outlines the interplay of different elements on the hidden curriculum, thereby demonstrating the relational and dynamic nature of the hidden curriculum. The framework also identifies the need for further research to enable a more holistic understanding of the hidden curriculum within private higher education

Healthcare access for children in a low-income area in Cape Town: A mixed-methods case study

Background: In Cape Town, the under-5 mortality rate has plateaued to 20 per 1000 live births, with 60% of child deaths occurring out of hospital. The southern subdistrict has the largest paediatric population in Metro West and accounts for 31% of deaths. This study aimed to uncover the access barriers and facilitators underlying this high burden of out-of-hospital deaths.Methods: An exploratory mixed-methods case study design employed three data collection strategies: a quantitative survey with randomly sampled community members, semi-structured interviews with purposively sampled caregivers whose children presented critically ill or deceased (January 2017 – December 2020) and a nominal group technique (NGT) to build solution-oriented consensus among purposively sampled health workers, representing different levels of care in the local health system.Results: A total of 62 community members were surveyed, 11 semi-structured caregiver interviews were conducted, and 11 health workers participated in the NGT. Community members (74%) experienced barriers in accessing care. Knowledge of basic home care for common conditions was limited. Thematic analysis of interviews showed affordability, acceptability, and access, household and facility factor barriers. The NGT suggested improvement in community-based services, transport access and lengthening service hours would facilitate access.Conclusion: While multiple barriers to accessing care were identified, facilitators addressing these barriers were explored. Healthcare planners should examine the barriers within their geographic areas of responsibility to reduce child deaths.Contribution: This study uncovers community perspectives on childhood out-of-hospital deaths and makes consensus-based recommendations for improvement

The quality of feedback from outpatient departments at referral hospitals to the primary care providers in the Western Cape: a descriptive survey

Background: Coordinating care for patients is a key characteristic of effective primary care. Family physicians in the Western Cape formed a research network to enable them to perform practical research on key questions from clinical practice. The initial question selected by the network focused on evaluating the quality of referrals to and feedback from outpatient departments at referral hospitals to primary care providers in the Western Cape.Methods: A descriptive survey combined quantitative data collected from the medical records with quantitative and qualitative data collected from the patients by questionnaire. Family physicians collected data on consecutive patients who had attended outpatient appointments in the last three months. Data were analysed using the Statistical Package for the Social Sciences.Results: Seven family physicians submitted data on 141 patients (41% male, 59% female; 46% metropolitan, 54% rural). Referrals were to district (18%), regional (28%) and tertiary hospitals (51%). Referral letters were predominantly biomedical. Written feedback was available in 39% of patients. In 32% of patients, doctors spent time obtaining feedback; the patient was the main source of information in 53% of cases, although many patients did not know what the hospital doctor thought was wrong (36%). The quality of referrals differed significantly by district and type of practitioner, while feedback differed significantly by level of hospital.Conclusion: Primary care providers did not obtain reliable feedback on specialist consultations at referral hospital outpatients. Attention must be given to barriers to care as well as communication, coordination and relationships across the primary–secondary interface

Evaluation of patient characteristics, management and outcomes for COVID-19 at district hospitals in the Western Cape, South Africa : descriptive observational study

CITATION: Mash, R. J. et al. 2021. Evaluation of patient characteristics, management and outcomes for COVID-19 at district hospitals in the Western Cape, South Africa : descriptive observational study. BMJ Open, 11:e047016, doi:10.1136/bmjopen-2020-047016.The original publication is available at https://bmjopen.bmj.comENGLISH ABSTRACT: Objectives To describe the characteristics, clinical management and outcomes of patients with COVID-19 at district hospitals. Design A descriptive observational cross-sectional study. Setting District hospitals (4 in metro and 4 in rural health services) in the Western Cape, South Africa. District hospitals were small (<150 beds) and led by family physicians. Participants All patients who presented to the hospitals’ emergency centre and who tested positive for COVID-19 between March and June 2020. Primary and secondary outcome measures Source of referral, presenting symptoms, demographics, comorbidities, clinical assessment and management, laboratory turnaround time, clinical outcomes, factors related to mortality, length of stay and location. Results 1376 patients (73.9% metro, 26.1% rural). Mean age 46.3 years (SD 16.3), 58.5% females. The majority were self-referred (71%) and had comorbidities (67%): hypertension (41%), type 2 diabetes (25%), HIV (14%) and overweight/obesity (19%). Assessment of COVID-19 was mild (49%), moderate (18%) and severe (24%). Test turnaround time (median 3.0 days (IQR 2.0–5.0 days)) was longer than length of stay (median 2.0 day (IQR 2.0–3.0)). The most common treatment was oxygen (41%) and only 0.8% were intubated and ventilated. Overall mortality was 11%. Most were discharged home (60%) and only 9% transferred to higher levels of care. Increasing age (OR 1.06 (95% CI 1.04 to 1.07)), male (OR 2.02 (95% CI 1.37 to 2.98)), overweight/obesity (OR 1.58 (95% CI 1.02 to 2.46)), type 2 diabetes (OR 1.84 (95% CI 1.24 to 2.73)), HIV (OR 3.41 (95% CI 2.06 to 5.65)), chronic kidney disease (OR 5.16 (95% CI 2.82 to 9.43)) were significantly linked with mortality (p<0.05). Pulmonary diseases (tuberculosis (TB), asthma, chronic obstructive pulmonary disease, post-TB structural lung disease) were not associated with increased mortality. Conclusion District hospitals supported primary care and shielded tertiary hospitals. Patients had high levels of comorbidities and similar clinical pictures to that reported elsewhere. Most patients were treated as people under investigation. Mortality was comparable to similar settings and risk factors identified.https://bmjopen.bmj.com/content/bmjopen/11/1/e047016.full.pdfPublisher's versio

Outcomes of laboratory-confirmed SARS-CoV-2 infection during resurgence driven by Omicron lineages BA.4 and BA.5 compared with previous waves in the Western Cape Province, South Africa

Objectives: We aimed to compare the clinical severity of Omicron BA.4/BA.5 infection with BA.1 and earlier variant infections among laboratory-confirmed SARS-CoV-2 cases in the Western Cape, South Africa, using timing of infection to infer the lineage/variant causing infection. Methods: We included public sector patients aged ≥20 years with laboratory-confirmed COVID-19 between May 01-May 21, 2022 (BA.4/BA.5 wave) and equivalent previous wave periods. We compared the risk between waves of (i) death and (ii) severe hospitalization/death (all within 21 days of diagnosis) using Cox regression adjusted for demographics, comorbidities, admission pressure, vaccination, and previous infection. Results: Among 3793 patients from the BA.4/BA.5 wave and 190,836 patients from previous waves, the risk of severe hospitalization/death was similar in the BA.4/BA.5 and BA.1 waves (adjusted hazard ratio [aHR] 1.12; 95% confidence interval [CI] 0.93; 1.34). Both Omicron waves had a lower risk of severe outcomes than previous waves. Previous infection (aHR 0.29, 95% CI 0.24; 0.36) and vaccination (aHR 0.17; 95% CI 0.07; 0.40 for at least three doses vs no vaccine) were protective. Conclusion: Disease severity was similar among diagnosed COVID-19 cases in the BA.4/BA.5 and BA.1 periods in the context of growing immunity against SARS-CoV-2 due to previous infection and vaccination, both of which were strongly protective

Outcomes of laboratory-confirmed SARS-CoV-2 infection during resurgence driven by Omicron lineages BA.4 and BA.5 compared with previous waves in the Western Cape Province, South Africa.

OBJECTIVE: We aimed to compare clinical severity of Omicron BA.4/BA.5 infection with BA.1 and earlier variant infections among laboratory-confirmed SARS-CoV-2 cases in the Western Cape, South Africa, using timing of infection to infer the lineage/variant causing infection. METHODS: We included public sector patients aged ≥20 years with laboratory-confirmed COVID-19 between 1-21 May 2022 (BA.4/BA.5 wave) and equivalent prior wave periods. We compared the risk between waves of (i) death and (ii) severe hospitalization/death (all within 21 days of diagnosis) using Cox regression adjusted for demographics, comorbidities, admission pressure, vaccination and prior infection. RESULTS: Among 3,793 patients from the BA.4/BA.5 wave and 190,836 patients from previous waves the risk of severe hospitalization/death was similar in the BA.4/BA.5 and BA.1 waves (adjusted hazard ratio (aHR) 1.12; 95% confidence interval (CI) 0.93; 1.34). Both Omicron waves had lower risk of severe outcomes than previous waves. Prior infection (aHR 0.29, 95% CI 0.24; 0.36) and vaccination (aHR 0.17; 95% CI 0.07; 0.40 for at least 3 doses vs. no vaccine) were protective. CONCLUSION: Disease severity was similar amongst diagnosed COVID-19 cases in the BA.4/BA.5 and BA.1 periods in the context of growing immunity against SARS-CoV-2 due to prior infection and vaccination, both of which were strongly protective