Abhishek Ghosh, Subodh Bn, Kshitiz Sharma, Fazl e Roub, Tathagata Mahintamani, Debasish Basu and Surendra Kumar Mattoo
Individuals with dual diagnoses might experience significant clinical and social vulnerabilities during the pandemic and lockdown. This study aims to compare medication adherence…
Abstract
Purpose
Individuals with dual diagnoses might experience significant clinical and social vulnerabilities during the pandemic and lockdown. This study aims to compare medication adherence, substance use, clinical stability and overall functioning before and during lockdown periods.
Design/methodology/approach
This was a cross-sectional survey among patients registered in dual diagnosis clinic of an addiction psychiatry center in Northern India between March 2019 and February 2020. This study approached 250 patients for telephonic interviews. This study assessed adherence to medications with the brief adherence rating scale (BARS). Global functioning was measured by global assessment of functioning. Clinical interviews assessed substance use and the clinical status of psychiatric disorders.
Findings
One hundred fifty patients were recruited. The mean age of the sample was 35.8 years. The sample had a slight preponderance of alcohol dependence. Depressive disorder was the largest category of psychiatric diagnosis. Compared to prelockdown period, during the lockdown, there were an increased number of days of nonadherence (X2 17.61, p < 0.05), proportion of patients underdosing (X2 8.96, p = 0.003) and lower BARS scores (t = 10.52, df = 144, p < 0.0001). More patients were abstinent from substances during the lockdown (X2 49.02, p < 0.0001). Clinical stability of psychiatric disorders did not differ during the two-time points, but overall functioning decreased during the lockdown (t = 2.118, p = 0.036). This study observed a small positive correlation (r = 0.2, p = 0.02) between functioning and adherence levels.
Originality/value
Lockdown was associated with poor medication adherence, change in substance use patterns and functional impairment. In the future, treatment programs and policies must take preemptive steps to minimize the effects of restrictions.
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Debasish Batabyal, Nilanjan Ray, Sudin Bag and Kaustav Nag
India is the birthplace of four major religions which are Hinduism, Jainism, Buddhism, and Sikhism. It is a country where people of all religions live in peace and harmony. Many…
Abstract
India is the birthplace of four major religions which are Hinduism, Jainism, Buddhism, and Sikhism. It is a country where people of all religions live in peace and harmony. Many tourists experience different forms of harassment during their pilgrimage journey, for example, fleecing, extortion of money, harassment by beggars, persistence by vendors and priests, fraud, sexual harassment, and other unacceptable behaviors. In order to appreciate the extent of harassment encountered by tourists, an in-depth study was conducted on the reviews provided by tourists on TripAdvisor's (Indian) website. This study characterizes harassments through ethnographic research approach of published reviews. A total of 260 reviews of 28 top Hindu temples are considered for all the states and union territories where the top Hindu pilgrim centers are located, (excluding Nagaland) according to TripAdvisor. The concerned reviews are categorized and further investigated through a primary data collection in proportion with the reviews received in respective temple sites in the study. through structural equation modeling (SEM). Important factors have been identified for future policy issues and recommendations in these most crowded places with unique mass tourism practices.
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Varuna Kharbanda and Archana Singh
The purpose of this paper is to study the lead-lag relationship between the futures and spot foreign exchange (FX) market in India to understand the price discovery mechanism and…
Abstract
Purpose
The purpose of this paper is to study the lead-lag relationship between the futures and spot foreign exchange (FX) market in India to understand the price discovery mechanism and the relationship between these two markets.
Design/methodology/approach
The estimation of lead-lag relationship is realized in three steps. First unit root and stationarity tests (Augmented Dickey-Fuller, Phillips-Perron, and Kwiatkowski-Phillips-Schmidt-Shin) are applied to check the stationarity of the data. Second, cointegration tests (Engle and Granger’s residual based approach and Johansen’s cointegration test) are applied to determine long run relationship between the markets. Third, error correction estimation is carried out by applying Vector Error Correction Model (VECM) to determine the leading market.
Findings
The study finds that there is a long run relationship between the futures and spot market where the futures market has emerged as the leading market for the four currencies studied in the paper.
Originality/value
Majorly, the studies on Indian FX market limit themselves to identifying the efficiency of the market and the studies which talk about the lead-lag relationship focus on the Indian stock market. This paper enhances the existing literature on Indian FX market by exploring the less explored subject of the lead-lag relationship between futures and spot FX market in India.
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Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) launched in the year 2006, with the pursuit of the objective of removing poverty and unemployment and thus…
Abstract
Purpose
Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) launched in the year 2006, with the pursuit of the objective of removing poverty and unemployment and thus address the issue of financial inclusion. The performance of the programme across the states in India has not been uniform. The purpose of this study is to focus on the financial inclusiveness features associated with MGNREGS program across the selected districts in West Bengal in the years of recent past.
Design/methodology/approach
In this study, financial inclusion index has been developed by consideration of four indicators with the help of principal component method. Fixed effect regression model has been applied to explain the impact of relevant determinants on financial inclusion index.
Findings
It is observed that out of 19 districts, seven districts registered an increase in the value of the financial inclusion index in the year 2019 compared to that in the year 2013. The empirical analysis for identifying the determinants of overall inclusion reveals that factors like households having active job card, utilization of fund, amount of labour cost and number of works have significant influence on financial inclusion.
Originality/value
The study widely discussed how the scheme was helping in promoting financial inclusion by providing wage payment through banks and post offices accounts. The author has also tried to highlight some of the difficulties in accelerating the speed of financial inclusion when banks and post offices are used as a means for wage payment and finally provide remedial measures that could be taken to tackle these problems.