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To examine a possible link between substance use and risky sexual behaviour, a cross‐sectional study was conducted among 357 inmates across four South African prisons involved in a pre‐release intervention programme for parolees. About 93% of the participants reported using alcohol and 52% used marijuana prior to imprisonment, while 56% reported previous occurrence of sexually transmitted infections (STIs). Logistic regression analyses explored the impact of substance use on intention to reduce risky sexual behaviour. Age and inconsistent use of condoms were positively associated with having an STI prior to incarceration, while reported alcohol and marijuana intake had no effect. Never using condoms before was highly associated with lower intention to engage in preventive behaviours upon release. It can be concluded that inmates demonstrate high levels of substance use and engagement in risky sexual behaviours. Targeted pre‐release substance abuse interventions are essential to reduce the burden of disease amongst offenders.

Technology has revolutionized the delivery of health-care services, with e-consultations becoming popular mode of service delivery, especially during the pandemic. Extant research has examined the adoption of e-health consultation services, with little attention paid to examine the switching behavior. This study aims to identify factors affecting patients’ intentions to switch from conventional mode i.e. visiting hospitals/clinics to e-health consultations.

To understand this we use the push–pull–mooring (PPM) framework and integrate variables from status quo bias framework to the model. A cross-section research design was used, which rendered 413 valid responses which were obtained from the patients visiting a traditional hospital setup. The data was analyzed using partial least square – structural equation modeling using SmartPLS 3.0.

Findings suggest that push effects (inconvenience and perceived risk), pull effects (opportunity for alternatives and ubiquitous care), mooring effects (trust) and inertia significantly influence patients’ switching intentions from visiting hospitals/clinics to e-health consultations. Further, habit and switching cost positively influence inertia.

This study shall enable online health-care service providers and practitioners to understand patients’ intentions to switch to online health platforms and accordingly develop related marketing strategies, services and policies to encourage them to switch to the new offerings.

The current study enriches the previous research on e-health services by applying and extending PPM framework as the base model and showing its efficiency in predicting individuals switching intentions in the context of emerging economies. This study bridges the gap by focusing on switching behavior in context of health services.

To inform future intervention programmes, the purpose of this paper is to explore the psychosocial and contextual determinants of intention to reduce risky sexual behaviour amongst inmates in South African prisons.

A cross sectional study using interviewer administered questionnaires was conducted with 357 inmates across four prison facilities in South Africa that were involved in a pre‐release health education intervention for parolees in two provinces.

About 65 per cent of participants were first time offenders. Almost 50 per cent were unemployed prior to arrest and 66 per cent were married at time of incarceration. Self‐efficacy, general life skills efficacy and sexual communication were the strongest predictors of intention to reduce risky behaviour upon release. High intenders were significantly different from low intenders in their self‐efficacy, sexual communication, attitudes towards condom use and the perceived norm of sex being a non‐utilitarian transaction.

One of the key limitations is the low literacy levels amongst prison inmates. Data also relied heavily on self reports of behaviours that may have occurred prior to the participants being incarcerated.

It is concluded that the exploration of subpopulation specific behavioural determinants is a critical step in the development of effective, contextually‐relevant, health education interventions.

This study examines the influence of various COVID-19 catastrophes variables on the stock market liquidity, considering the market depth and market tightness in the technology industry of the four biggest ASEAN capital markets.

The study utilised the panel data regression analysis obtained from 177 listed technology companies across the four ASEAN countries from March 2, 2020 to June 30, 2021 using the random effect and weighted least squares. The study also supported the result with robustness test, implementing the quantile regression to further present companies' segmentation within the variables.

The regression results indicate that daily growth COVID-19 confirmed cases and stringency that adversely impacted the stock market liquidity. Confirmed deaths were also found to have a detrimental effect on the stock market liquidity. On the other hand, recoveries and vaccination of COVID-19 enhance the stock market liquidity to escalate.

The study affirms that stock market liquidity is bound to be driven by the COVID-19 variables, but only to be limited to the technology industry observed in four major ASEAN capital markets. Awareness by investors and government could be shifted towards the rise of confirmed cases, recoveries, vaccination and stringency as it improves the liquidity of capital market in aggregate. However, rise of confirmed deaths negatively affect the liquidity. All in all, government and stock market regulator should promote transparency to boost investors' confidence in trading.

This study initiates the investigation in the four biggest ASEAN capital markets, particularly in the technology industry, regarding the COVID-19 catastrophes and stock market liquidity in terms of both market depth and market tightness. Further, this study enriches the impact of COVID-19 by taking the recovery cases and vaccination of COVID-19 as additional consideration.

Government of India has launched FPOs to organise small and marginal farmers into farmer collectives called FPOs. These FPOs, through economies of scale, aim to provide better collective strength to farmers for better access to production technology, value-addition services, high-quality inputs and marketing services for improving their incomes. Recently, the government has launched a scheme for creation and promotion of 10,000 more FPOs in the country. Despite potential benefits of FPOs and encouragement from the Government, there are many farmers in India, particularly Sikkim, who do not join the FPOs. This study aims to identify the major determinants that motivate farmers to join FPOs.

Primary data for this study was collected during October, 2019–February, 2020 from 560 farm households in all four districts of Sikkim, India. The study used two-sample t-test and FPO participation probit model for determining the factors influencing a household's decision to participate in an FPO.

The results of this study illustrate that education, farming experience, farming as the primary occupation, size of landholding, access to Internet, distance to the nearest market, medium level of social participation, extension contact, transportation facility and plan to expand the scale of operation in future are the major explanatory variables that have statistically significant impact on the farm households' participation in FPOs.

This study was based on a cross-sectional survey. As a result, the findings may be subjected to some limitations though the study made all possible efforts to minimise the limitations.

This paper is based on or a novel data set, collected specifically to examine the determinants of membership in Sikkim, India that has not been studied before. Moreover, this study has identified the importance of information and awareness initiatives among the farmers as responsible for farmers' participation in FPOs. The findings of this study will have important implications and lessons to draw from for the Central Government's effort towards Formation and Promotion of 10,000 new FPOs, especially in the hilly states of India.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2022-0216.

Promoting patient satisfaction is crucial for healthcare quality improvement. However, literature on patient satisfaction with nursing care in Ghana is limited. The aim of this study was to assess patient satisfaction with perioperative nursing care in Korle-Bu Teaching Hospital, the largest tertiary hospital in Ghana.

The study was a cross-sectional study. A sample of one hundred (n = 100) in-patients in the surgical department were interviewed. Statistical Package for Social Science (SPSS), version 22, was used to analyze the data. The results were presented using univariate, bivariate and multivariate analyses.

It was found that majority of the respondents were males (53%), employed (56%) and insured (85%). It was also found that eight in ten respondents were satisfied with the perioperative nursing care. Overall patient satisfaction with perioperative nursing care was significantly associated with information provision (p < 0.001), nurse–patient relationship (p < 0.001), fear and concern (p < 0.05) and discomfort and need (p < 0.05). At the multivariate level, overall patient satisfaction was significantly influenced by nurse–patient relationship (β = 0.430, p = 0.002).

There is limited literature on nursing care in surgical departments and rarely are patients' views considered in assessing quality of perioperative care, especially in Low- and Middle- Income Countries (LMICs). This study is a modest contribution to the literature on patient satisfaction with perioperative nursing care in Ghana.

The purpose of this paper is to identify the correlates of crop insurance adoption and estimate the impact on debt and farm income.

The authors used nationally representative data from National Sample Survey Office (NSSO), which consisted of 35,200 farming households. Logit and propensity score matching (PSM) (nearest neighbor, caliper and kernel matching) techniques were used.

With only around 5% of households insuring their crops and 87% of them not receiving claims, crop insurance in India has failed. Logit model estimates of correlates of adoption indicated that households with larger family size, lower social group, less education, lower standard of living and poor were more likely to be left out of the ambit of crop insurance. Further, propensity score estimates suggested that households with access to crop insurance had significantly lesser outstanding debt with positive effect on input costs and crop income. The authors’ results were in contrast to the risk balancing theory.

Results of our work encourage us to rethink and restructure the crop insurance policy design in India. With credit and insurance markets interlinked by design and as the risk balancing in the farm business found absent, policies to strengthen both the markets are the need of the hour. To encourage more farmers to take up crop insurance, revenue-based indemnity calculation could be tried in India.

Impact estimates from three different algorithms of matching were compared and tested for robustness. Consistent average treatment effect on treated (ATT) was considered for interpretation and policy implications. Since the data are from a nationally representative survey, results are believed to be of extreme value to policy makers and insurance providers as it can be generalized.

The authors assessed the certification of street food retailers in Ghana in terms of awareness, training, willingness to be certified, determinants, agreement with certification requirements and impacts on performance.

Primary data was sourced from 200 street food retailers. Descriptive statistics, Likert scale, mean comparison test, heteroskedastic probit, inverse-probability-weighted regression adjustment (IPWRA), inverse probability weights (IPW) and augmented inverse-probability weighting (AIPW) were applied.

Most uncertified retailers were willing to be certified. Awareness about certification was high. Most of the certified retailers had been trained on certification, while most uncertified retailers had not been trained. Being a female, being educated, being a migrant vendor, possessing experience in retailing, training in certification, trust in the local certification process, the amount spent in preparing food and the number of customers are crucial variables that increase the probability of being certified among street food vendors. Street food retailers agreed to all the requirements for certification. Certification boosts the performance of street food retailers in terms of the number of customers and contracts received. Training on certification is recommended for street food retailers.

The limitation of this study is mainly due to the type of food retailers selected. Street food vending in Ghana is done among those who cook food for selling, those who sell processed products such as drinks and those who sell vegetables and other uncooked agriproducts. Meanwhile, the authors selected unorganised retailers who primarily cook local and regional dishes for sale in this study. Thus, the study did not include organised food retailers such as restaurants. Therefore, generalising the study results for street food vendors should be made with caution.

Several studies have been conducted on street food retailing across the globe on knowledge of food-safety practices, risk practices, bacterial contamination of street retailing food, toxicological hazards of street foods and compliance with technical and hygienic requirements by street food retailers, among others. However, empirical studies on the certification/licensing of street food retailers and its impact have been given little attention. As a result, this study investigates the certification of street food retailers and its impacts on retailers' performance in Ghana.