OBJECTIVE: To understand the psychological processes involved in the experiencing of suffering at the end phase of life.
METHODS: Semistructured interviews were conducted with 20 palliative care inpatients from an academic medical centre in Kuala Lumpur, Malaysia. The transcripts were thematically analysed with NVIVO9.
RESULTS: 5 themes of psychological processes of suffering were generated: (1) perceptions, (2) cognitive appraisals, (3) hope and the struggles with acceptance, (4) emotions and (5) clinging. A model of suffering formation was constructed.
CONCLUSION: The findings may inform the development of mechanism-based interventions in the palliation of suffering.
OBJECTIVE: To investigate the association between severe anxiety disorder and other factors with COVID-19 disease severity.
METHODS: This was cross-sectional study during March - November 2020. The diagnosis of SARS-CoV-2 was done by using RT-PCR from throat swabs, based on WHO's interim guidelines. AD was measured using self-reporting Generalized Anxiety Disorder-7 (GAD-7). All participants underwent, history taking, physical examinations, blood routine examination and chest radiography. Association between severe AD and other factors with COVID-19 disease severity were analyzed. Chi-square test (bivariate) and Logistic regression (multivariate) with the precision value of 95% was done and p-value less than 5% was considered significant.
RESULTS: Positive rate of Covid-19 patients was 43% (292 / 678). Among those 292 with Covid-19, 74 (25.3%) participants had severe disease. Multivariate analysis showed severe anxiety (OR 696.11; 95%CI: 78.54 to 6169.98; p<0.001), hypertension (OR 37.02; 95%CI: 4.49 to 305.39; p=0.001) and neutrophyl lymphocyte ratio (NLR) less than 2.89 (OR 0.15; 95%CI: 0.04 to 0.62; p=0.009).
CONCLUSION: Severe anxiety, hypertension and NLR less than 2.89 are potential independent risk factors for severe infection of SARS-CoV-2 (COVID-19).
DESIGN: We conducted a multi-country cross-sectional study.
METHODS: Following a literature review and patient focus groups, an expert panel generated questionnaire items. Following a pilot study, item numbers were reduced. The final questionnaire consisted of three sections: demographics, perceived QoC and one open-ended question. Data was collected from patients (n = 531) discharged from hospitals across seven countries in South East Europe (languages: Turkish, Greek, Portuguese, Romanian, Croatian, Macedonian and Bulgarian). Reliability and validity of the measure were assessed.
RESULTS: Confirmatory factor analysis was used to compare various factor models of patient-perceived QoC. Good model fit was demonstrated for a two-factor model: communication and interpersonal care, and hospital facilities.
CONCLUSIONS: The ORCAB (Improving quality and safety in the hospital: The link between organisational culture, burnout and quality of care) Patient QoC questionnaire has been collaboratively and exhaustively developed between healthcare professionals and patients. It enables patient QoC data to be assessed in the context of the IOM pillars of quality, considering both technical and interpersonal dimensions of care. It represents an important first step in including the patient perspective.