Teaching basic Xhosa to non-Xhosa-speaking Health Care Workers : the effects on patient satisfaction, perceived competence to communicate effectively with Xhosa-speaking patients and job satisfaction levels

Includes bibliographical references (leaves 97-102).To determine if a basic Xhosa course for non-Xhosa-speaking Health Care Workers, working in Primary Health Care Centres in Cape Town improves patient satisfaction for Xhosa-speaking patients, their perceived ability to communicate effectively with Xhosa-speaking patients, and job satisfaction levels

Risk factors for Coronavirus disease 2019 (Covid-19) death in a population cohort study from the Western Cape province, South Africa

Risk factors for coronavirus disease 2019 (COVID-19) death in sub-Saharan Africa and the effects of human immunodeficiency virus (HIV) and tuberculosis on COVID-19 outcomes are unknown. We conducted a population cohort study using linked data from adults attending public-sector health facilities in the Western Cape, South Africa. We used Cox proportional hazards models, adjusted for age, sex, location, and comorbidities, to examine the associations between HIV, tuberculosis, and COVID-19 death from 1 March to 9 June 2020 among (1) public-sector “active patients” (≥1 visit in the 3 years before March 2020); (2) laboratory-diagnosed COVID-19 cases; and (3) hospitalized COVID-19 cases. We calculated the standardized mortality ratio (SMR) for COVID-19, comparing adults living with and without HIV using modeled population estimates.Among 3 460 932 patients (16% living with HIV), 22 308 were diagnosed with COVID-19, of whom 625 died. COVID19 death was associated with male sex, increasing age, diabetes, hypertension, and chronic kidney disease. HIV was associated with COVID-19 mortality (adjusted hazard ratio [aHR], 2.14; 95% confidence interval [CI], 1.70–2.70), with similar risks across strata of viral loads and immunosuppression. Current and previous diagnoses of tuberculosis were associated with COVID-19 death (aHR, 2.70 [95% CI, 1.81–4.04] and 1.51 [95% CI, 1.18–1.93], respectively). The SMR for COVID-19 death associated with HIV was 2.39 (95% CI, 1.96–2.86); population attributable fraction 8.5% (95% CI, 6.1–11.1)

Development and validation of a tool to measure patient experience in chronic disease care

Background: There is a global increase in the prevalence of non-communicable diseases and a growing understanding that patients need to be involved in their care. Patient experience should be assessed and the information used to improve on the planning and delivery of health services. Aim: This study described the development and validation of a patient-reported experience measure (PREM) tool which is appropriate for the South African context, to assess self-reported patient experience of chronic care. Setting: The study was conducted at four primary health care facilities in the Cape Town Metropole. Methods: This was a validity and reliability study with multiple phases to develop and determine the psychometric properties of a novel tool. It consisted of three phases, namely: Phase 1 – Consensus Validity; Phase 2 – Face Validity; Phase 3 – Reliability. Phase 1 consisted of an expert panel reaching consensus on a draft tool. Phase 2a consisted of qualitative semi-structured interviews and cognitive interviews. Phase 3 tested the internal consistency of the tool, the time necessary to complete, as well as floor and ceiling effects with 200 questionnaires. Results: The process described resulted in a final questionnaire with n = 10 items in three languages that was easily understood by patients. Internal consistency was determined with the overall Cronbach’s alpha 0.86. This PREM has been named Chronic Care Assessment of Patient Experience. Conclusion: Using best practice guidance in tool construction and validation, we delivered a PREM with the potential to improve the quality of care from the perspective of patients. Implementation studies are now required to determine how best to use this tool in routine practice

Genomic reconstruction of the SARS-CoV-2 epidemic in England

AbstractThe evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus leads to new variants that warrant timely epidemiological characterization. Here we use the dense genomic surveillance data generated by the COVID-19 Genomics UK Consortium to reconstruct the dynamics of 71 different lineages in each of 315 English local authorities between September 2020 and June 2021. This analysis reveals a series of subepidemics that peaked in early autumn 2020, followed by a jump in transmissibility of the B.1.1.7/Alpha lineage. The Alpha variant grew when other lineages declined during the second national lockdown and regionally tiered restrictions between November and December 2020. A third more stringent national lockdown suppressed the Alpha variant and eliminated nearly all other lineages in early 2021. Yet a series of variants (most of which contained the spike E484K mutation) defied these trends and persisted at moderately increasing proportions. However, by accounting for sustained introductions, we found that the transmissibility of these variants is unlikely to have exceeded the transmissibility of the Alpha variant. Finally, B.1.617.2/Delta was repeatedly introduced in England and grew rapidly in early summer 2021, constituting approximately 98% of sampled SARS-CoV-2 genomes on 26 June 2021.</jats:p