Mental health and quality of life in patients with chronic liver disease: a single-center structural equation model.

BACKGROUND: Chronic liver disease (CLD) is one of the leading disease burdens in Pakistan. Until now, there has only been limited focus in the country on providing health services through tertiary services in urban cities, whereas there is almost no research in Pakistan on the mental health and quality of life of CLD patients. This study aimed to understand which predictors influence the mental health and quality of life of CLD patients in order to advise better policy protection. METHODS: Data was collected from CLD patients at the Pakistan Kidney and Liver Institute and Research Centre, Lahore, Pakistan. A total of 850 respondents were part of the final sample. The age of respondents ranged from 18 to 79 years and included the following diagnosis: (i) Chronic Viral Hepatitis (n = 271), (ii) Cirrhosis (n = 259), (iii) Hepatocellular Carcinoma (n = 193), and (iv) Non-viral Liver Disease (n = 127). RESULTS: Mean results reveal that females as well as illiterate patients need more support for mental health and communication with their physician; whereas men need more support to develop coping strategies. Structural equation modelling results reveal that the severity of symptoms (ß = 0.24, p < 0.001), coping strategies (ß=-0.51, p < 0.001), and doctor communication (ß=-0.35, p < 0.001) predict mental health. Quality of life is associated with the severity of symptoms (ß=-0.36, p < 0.001), coping strategies (ß = 0.26, p < 0.05), and doctor communication (ß = 0.09, p < 0.05). CONCLUSIONS: A 'bio-psycho-social-spiritual' model is recommended for Pakistan's CLD patients which includes the integration of social officers to provide support in four key areas to secure mental health and quality of life of patients.

Infection preparedness of community health workers: implications for maternal and neonatal health services in Pakistan.

AIM: This study aimed to (i) identify community health workers' (CHWs) perceived satisfaction for maternal and neonatal health services, with respect to (1) socio-demographic characteristics; (2) coronavirus preparedness; (3) coronavirus responsiveness; and (4) employee satisfaction and (ii) investigate the interplay among study variables to identify the role of direct effects and mediation. BACKGROUND: Women CHWs are salient providers for maternal and neonatal services at the primary level, especially in conservative regions. Service delivery is a valuable indicator for mother and newborn wellbeing. There is need for empirical evidence to understand how CHWs may be supported in delivering maternal and neonatal health services during pandemics. METHODS: Bivariate regression was used to identify the lower odds for CHWs' perceived satisfaction for maternal and neonatal health services. In addition, structural equation modeling was used to investigate if coronavirus responsiveness and employee satisfaction as mediating variables influence the relationship between coronavirus preparedness and maternal and neonatal health services. Data were collected telephonically from 350 CHWs. The sample was representative of 35 districts of Punjab, which is the most populated province in the country. FINDINGS: We found thirty predictors with respect to coronavirus preparedness, coronavirus responsiveness and employee satisfaction which contribute to lower odds of satisfaction for maternal and neonatal health services. We also found that coronavirus preparedness has a direct effect on maternal and neonatal health service satisfaction (ß = .242, P < .001) and an indirect effect on maternal health satisfaction (ß = .242, P < .001) via the mediation of employee satisfaction. We conclude with four critical recommendations to support CHWs in delivering optimal services, comprising of education and training, operational support, public acceptance, and employee support and benefits. The findings are important for the planning of primary health services and governance support for CHWs and poor women clients in Pakistan and other developing countries.