29 results on '"Gc, Vijay S."'
Search Results
2. Migrant workers' health-related research in Nepal: A bibliometric study
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Wasti, Sharada P., Shrestha, Ayushka, Atteraya, Madhu Sudhan, and GC, Vijay S.
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- 2023
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3. The prevalence of exclusive breastfeeding practice in the first six months of life and its associated factors in Nepal: A systematic review and meta-analysis
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Wasti, Sharada P., Shrestha, Ayushka, Dhakal, Pushpa, and GC, Vijay S.
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- 2023
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4. Machine Learning Methods to Estimate Individualized Treatment Effects for Use in Health Technology Assessment.
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Zhang, Yingying, Kreif, Noemi, GC, Vijay S., and Manca, Andrea
- Abstract
Background: Recent developments in causal inference and machine learning (ML) allow for the estimation of individualized treatment effects (ITEs), which reveal whether treatment effectiveness varies according to patients' observed covariates. ITEs can be used to stratify health policy decisions according to individual characteristics and potentially achieve greater population health. Little is known about the appropriateness of available ML methods for use in health technology assessment. Methods: In this scoping review, we evaluate ML methods available for estimating ITEs, aiming to help practitioners assess their suitability in health technology assessment. We present a taxonomy of ML approaches, categorized by key challenges in health technology assessment using observational data, including handling time-varying confounding and time-to event data and quantifying uncertainty. Results: We found a wide range of algorithms for simpler settings with baseline confounding and continuous or binary outcomes. Not many ML algorithms can handle time-varying or unobserved confounding, and at the time of writing, no ML algorithm was capable of estimating ITEs for time-to-event outcomes while accounting for time-varying confounding. Many of the ML algorithms that estimate ITEs in longitudinal settings do not formally quantify uncertainty around the point estimates. Limitations: This scoping review may not cover all relevant ML methods and algorithms as they are continuously evolving. Conclusions: Existing ML methods available for ITE estimation are limited in handling important challenges posed by observational data when used for cost-effectiveness analysis, such as time-to-event outcomes, time-varying and hidden confounding, or the need to estimate sampling uncertainty around the estimates. Implications: ML methods are promising but need further development before they can be used to estimate ITEs for health technology assessments. Highlights: Estimating individualized treatment effects (ITEs) using observational data and machine learning (ML) can support personalized treatment advice and help deliver more customized information on the effectiveness and cost-effectiveness of health technologies. ML methods for ITE estimation are mostly designed for handling confounding at baseline but not time-varying or unobserved confounding. The few models that account for time-varying confounding are designed for continuous or binary outcomes, not time-to-event outcomes. Not all ML methods for estimating ITEs can quantify the uncertainty of their predictions. Future work on developing ML that addresses the concerns summarized in this review is needed before these methods can be widely used in clinical and health technology assessment–like decision making. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Prevalence of Perinatal Depression and Its Associated Risk Factors among Nepalese Women in Kathmandu, Nepal.
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Wasti, Pratikshya, Panta, Prem Prasad, Gc, Vijay S., Ghimire, Biwash, Sapkota, Pooja, and Wasti, Sharada Prasad
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MENTAL depression risk factors ,RISK assessment ,CROSS-sectional method ,POISSON distribution ,MATERNAL health services ,INTIMATE partner violence ,INTERVIEWING ,NEPALI people ,DISEASE prevalence ,DESCRIPTIVE statistics ,TERTIARY care ,AGE distribution ,SURVEYS ,RACE ,WOMEN'S health ,CONFIDENCE intervals ,FAMILY support ,PREGNANCY complications ,COUNSELING ,SOCIAL support ,MENTAL depression ,PERINATAL period ,REGRESSION analysis - Abstract
Perinatal mental health is a major public health issue that arises during pregnancy and/or after birth, with substantial implications for social, parental, and maternal functioning, as well as overall quality of life. The study aimed to determine the prevalence of perinatal depression and its associated risk factors among women who visited a maternity hospital in Kathmandu, Nepal. A cross-sectional study was conducted at the Paropakar Maternity and Women's Hospital in Kathmandu. A total of 300 women in their perinatal period were interviewed. The Edinburgh Perinatal Depression Scale (EPDS) was used to measure perinatal depression. The Poisson regression model was used to determine risk factors associated with perinatal depression. The mean age of respondents was 25.5 (SD 4.5) years; average age during their first pregnancy was 23.5 (SD 3.7) years; and 53.7% of respondents were in the antenatal period. The prevalence of depressive symptoms (EPDS ≥ 10) was 40% (95% CI 31.4% to 45.8%). Unsupportive family members (adjusted prevalence ratio [aPR] 2.23; 95% CI 1.75–2.86), postnatal period (aPR 2.64; 95% CI 1.97–3.53), complications faced during delivery (aPR 1.76; 95%CI 1.30–2.39), history of intimate partner violence (aPR 0.48; 95% CI 0.36–0.64), and first pregnancy at the age of ≤25 years (aPR 0.61; 95% CI 0.42–0.88) were identified as key risk factors of perinatal depression. Strong family support and the active involvement of partners in counselling can contribute to alleviating perinatal depression symptoms. Targeted interventions in health and well-being services should be implemented to address mental health burden during both pregnancy and postpartum periods. [ABSTRACT FROM AUTHOR]
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- 2024
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6. Nepali Migrant Workers and Their Occupational Health Hazards in the Workplace: A Scoping Review.
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Wasti, Sharada Prasad, Babatunde, Emmanuel, Bhatta, Santosh, Shrestha, Ayushka, Wasti, Pratikshya, and GC, Vijay S.
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An increasing number of people are relocating to search for work, leading to substantial implications for both local and global health. Approximately 3.6% of the global population (281 million) migrates annually. Nepal has experienced a notable surge in labour migration in recent years, with a substantial proportion of its residents actively seeking work opportunities abroad. Understanding work-related risks is crucial for informing policies, interventions, and practices that can improve the welfare of this hard-to-reach population. This scoping review aims to systematically identify and analyse occupational health hazards encountered by Nepali migrant workers employed overseas. Medline, Scopus, Directory of Open Access Journals (DOAJ), and the NepJOL databases were systematically searched for primary research papers published in English up to July 2024. Relevant data, including workplace hazards and their impact on health outcomes, were extracted and narratively synthesised by highlighting key themes in the existing literature. A total of 24 articles met the inclusion criteria and were included in this review. Of these, twelve studies were conducted in Nepal, five in Gulf countries, four in Malaysia, two in Hong Kong, and one each in India and Korea. Workplace injuries (motor vehicle injuries, machinery injuries, falls from a height, and falls on a heavy object), poor working environment (including long working hours, work without leave, discrepancy in pay scale, limited access to drinking water and toilet/bathroom facilities), workplace abuse, sexual abuse, and torture were identified as key occupational health hazards faced by the Nepali migrant workers abroad. Multi-level intervention strategies, such as safety training standards, improving working conditions, and eliminating exploitative labour practices, are critical to improving occupational health and safety standards for Nepali migrant workers abroad. This includes creating a supportive working environment where employees can easily and timely access health services as needed. [ABSTRACT FROM AUTHOR]
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- 2024
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7. Pathways of patients with chronic haematological malignancies: a report from the UK's population-based HMRN.
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Roman, Eve, Howell, Debra, Smith, Alexandra, Crouch, Simon, Bagguley, Timothy, Painter, Daniel, Sheridan, Rebecca, McCaughan, Dorothy, Blase, John, Curson, William, Wang, Han-I, Manca, Andrea, Bennett, Alastair, Gc, Vijay S, Miller, Carol, Atkin, Karl, Thomson, Richard, Hanratty, Barbara, Burton, Cathy, and Ashcroft, John
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- 2024
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8. Fear, Risk Perception, and Engagement in Preventive Behaviors for COVID-19 during Nationwide Lockdown in Nepal
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Khanal, Ashok, primary, GC, Sulochan, additional, Panthee, Suresh, additional, Paudel, Atmika, additional, Ghimire, Rakesh, additional, Neupane, Garima, additional, Gaire, Amrit, additional, Sitaula, Rukmini, additional, Bhattarai, Suman, additional, Khadka, Shubhechchha, additional, Khatri, Bibek, additional, Khanal, Aashis, additional, Panthee, Bimala, additional, Wasti, Sharada P, additional, and GC, Vijay S, additional
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- 2022
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9. Burden of tuberculosis and hepatitis co-infection among people living with HIV in Nepal: a systematic review and meta-analysis
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GC, Sulochan, primary, Khanal, Ashok, additional, GC, Vijay S., additional, Bhattarai, Suman, additional, Panthee, Suresh, additional, Khanal, Aashis, additional, Gaire, Amrit, additional, Poudel, Sagar, additional, Ghimire, Rakesh, additional, and Wasti, Sharada P., additional
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- 2022
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10. Using discrete-choice experiments to elicit preferences for digital wearable health technology for self-management of chronic kidney disease
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Gc, Vijay S, primary, Iglesias, Cynthia P, additional, Erdem, Seda, additional, Hassan, Lamiece, additional, Peek, Niels, additional, and Manca, Andrea, additional
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- 2022
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11. OP348 Assessing The Potential Value Of Wearable Digital Health Technologies In Chronic Kidney Disease Using Early Health Technology Assessment Methods
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Gc, Vijay S., primary, Manca, Andrea, additional, Casson, Alexander J., additional, Antrobus, Steven, additional, and Iglesias, Cynthia, additional
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- 2021
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12. OP340 Kidney Patients’ Preferences For A Wearable Digital Health Technology To Support Self-Management Of Chronic Kidney Disease - A Discrete Choice Experiment
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Gc, Vijay S., primary, Iglesias, Cynthia, additional, Erdem, Seda, additional, Hassan, Lamiece, additional, and Manca, Andrea, additional
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- 2021
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13. Fear, Risk Perception, and Engagement in Preventive Behaviors for COVID-19 during Nationwide Lockdown in Nepal.
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Khanal, Ashok, GC, Sulochan, Panthee, Suresh, Paudel, Atmika, Ghimire, Rakesh, Neupane, Garima, Gaire, Amrit, Sitaula, Rukmini, Bhattarai, Suman, Khadka, Shubhechchha, Khatri, Bibek, Khanal, Aashis, Panthee, Bimala, Wasti, Sharada P, and GC, Vijay S
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COVID-19 pandemic ,RISK perception ,MENTAL health services ,MULTIPLE regression analysis ,STAY-at-home orders - Abstract
The world has faced huge negative effects from the COVID-19 pandemic between early 2020 and late 2021. Each country has implemented a range of preventive measures to minimize the risk during the COVID-19 pandemic. This study assessed the COVID-19-related fear, risk perception, and preventative behavior during the nationwide lockdown due to COVID-19 in Nepal. In a cross-sectional study, conducted in mid-2021 during the nationwide lockdown in Nepal, a total of 1484 individuals completed measures on fear of COVID-19, COVID-19 risk perception, and preventive behavior. A multiple linear regression analysis was used to identify factors associated with COVID-19 fear. The results revealed significant differences in the fear of COVID-19 in association with the perceived risk of COVID-19 and preventive behaviors. Age, risk perception, preventive behavior, and poor health status were significantly positively related to fear of COVID-19. Perceived risk and preventive behaviors uniquely predicted fear of COVID-19 over and above the effects of socio-demographic variables. Being female and unmarried were the significant factors associated with fear of COVID-19 among study respondents. Higher risk perception, poor health status, and being female were strong factors of increased fear of COVID-19. Targeted interventions are essential to integrate community-level mental health care for COVID-19 resilience. [ABSTRACT FROM AUTHOR]
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- 2023
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14. Comparative analysis of COVID‐19 case fatality rate between two waves in Nepal
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GC, Sulochan, primary, Khanal, Ashok, additional, Paudel, Atmika, additional, GC, Vijay S., additional, Khanal, Aashis, additional, and Panthee, Suresh, additional
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- 2021
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15. Factors influencing adherence to antiretroviral treatment in Asian developing countries: a systematic review
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Wasti, Sharada P., van Teijlingen, Edwin, Simkhada, Padam, Randall, Julian, Baxter, Susan, Kirkpatrick, Pamela, and GC, Vijay S.
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- 2012
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16. First-line oxygen therapy with high-flow in bronchiolitis is not cost saving for the health service
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Gc, Vijay S, primary, Franklin, Donna, additional, Whitty, Jennifer A, additional, Dalziel, Stuart R, additional, Babl, Franz E, additional, Schlapbach, Luregn J, additional, Fraser, John F, additional, Craig, Simon, additional, Neutze, Jocelyn, additional, Oakley, Ed, additional, and Schibler, Andreas, additional
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- 2020
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17. Comparative analysis of COVID‐19 case fatality rate between two waves in Nepal.
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GC, Sulochan, Khanal, Ashok, Paudel, Atmika, GC, Vijay S., Khanal, Aashis, and Panthee, Suresh
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COVID-19 pandemic ,COMPARATIVE studies ,COVID-19 ,COMORBIDITY - Abstract
The first COVID‐19 case in Nepal was reported on January 23, 2020. Then infection, then, started to spread gradually, and October marked the most devastating increase in COVID‐19 cases of the year 2020. Compared with the October 2020 peak in Nepal, the May 2021 peak of COVID‐19 observed 2‐ and 10‐fold rise in new cases and deaths per day, respectively. Given that this surprising increase in the death rate was not observed in other countries, this study analyzed the COVID‐19 case fatality rates between the two peaks in Nepal. We found an increase in death rates among younger adults and people without comorbidities. [ABSTRACT FROM AUTHOR]
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- 2022
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18. Using discrete-choice experiments to elicit preferences for digital wearable health technology for self-management of chronic kidney disease.
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Gc, Vijay S, Iglesias, Cynthia P, Erdem, Seda, Hassan, Lamiece, Peek, Niels, and Manca, Andrea
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Objectives: Wearable digital health technologies (DHTs) have the potential to improve chronic kidney disease (CKD) management through patient engagement. This study aimed to investigate and elicit preferences of individuals with CKD toward wearable DHTs designed to support self-management of their condition. Methods: Using the results of our review of the published literature and after conducting qualitative patient interviews, five-choice attributes were identified and included in a discrete-choice experiment. The design consisted of 10-choice tasks, each comprising two hypothetical technologies and one opt-out scenario. We collected data from 113 adult patients with CKD stages 3–5 not on dialysis and analyzed their responses via a latent class model to explore preference heterogeneity. Results: Two patient segments were identified. In all preference segments, the most important attributes were the device appearance , format, and type of information provided. Patients within the largest preference class (70 percent) favored information provided in any format except the audio, while individuals in the other class preferred information in text format. In terms of the style of engagement with the device, both classes wanted a device that provides options rather than telling them what to do. Conclusions: Our analysis indicates that user preferences differ between patient subgroups, supporting the case for offering a different design of the device for different patients' strata, thus moving away from a one-size-fits-all service provision. Furthermore, we showed how to leverage the information from user preferences early in the R&D process to inform and support the provision of nuanced person-centered wearable DHTs. [ABSTRACT FROM AUTHOR]
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- 2021
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19. Cost-effectiveness of physical activity interventions in adolescents: model development and illustration using two exemplar interventions
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Gc, Vijay S, primary, Suhrcke, Marc, additional, Atkin, Andrew J, additional, van Sluijs, Esther, additional, and Turner, David, additional
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- 2019
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20. Cost-minimisation analysis alongside a pilot study of early Tissue Doppler Evaluation of Diastolic Dysfunction in Emergency Department Non-ST Elevation Acute Coronary Syndromes (TEDDy-NSTEACS)
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Gc, Vijay S, primary, Alshurafa, Mohamad, additional, Sturgess, David J, additional, Ting, Joseph, additional, Gregory, Kye, additional, Oliveira Gonçalves, Ana Sofia, additional, and Whitty, Jennifer A, additional
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- 2019
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21. Evaluation of a very brief pedometer-based physical activity intervention delivered in NHS Health Checks in England: The VBI randomised controlled trial.
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Hardeman, Wendy, Mitchell, Joanna, Pears, Sally, Van Emmenis, Miranda, Theil, Florence, Gc, Vijay S., Vasconcelos, Joana C., Westgate, Kate, Brage, Søren, Suhrcke, Marc, Griffin, Simon J., Kinmonth, Ann Louise, Wilson, Edward C. F., Prevost, A. Toby, Sutton, Stephen, and VBI Research Team
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PHYSICAL activity ,MEDICAL screening ,NATIONAL health services ,PRIMARY care ,RANDOMIZED controlled trials ,NURSES' aides - Abstract
Background: The majority of people do not achieve recommended levels of physical activity. There is a need for effective, scalable interventions to promote activity. Self-monitoring by pedometer is a potentially suitable strategy. We assessed the effectiveness and cost-effectiveness of a very brief (5-minute) pedometer-based intervention ('Step It Up') delivered as part of National Health Service (NHS) Health Checks in primary care.Methods and Findings: The Very Brief Intervention (VBI) Trial was a two parallel-group, randomised controlled trial (RCT) with 3-month follow-up, conducted in 23 primary care practices in the East of England. Participants were 1,007 healthy adults aged 40 to 74 years eligible for an NHS Health Check. They were randomly allocated (1:1) using a web-based tool between October 1, 2014, and December 31, 2015, to either intervention (505) or control group (502), stratified by primary care practice. Participants were aware of study group allocation. Control participants received the NHS Health Check only. Intervention participants additionally received Step It Up: a 5-minute face-to-face discussion, written materials, pedometer, and step chart. The primary outcome was accelerometer-based physical activity volume at 3-month follow-up adjusted for sex, 5-year age group, and general practice. Secondary outcomes included time spent in different intensities of physical activity, self-reported physical activity, and economic measures. We conducted an in-depth fidelity assessment on a subsample of Health Check consultations. Participants' mean age was 56 years, two-thirds were female, they were predominantly white, and two-thirds were in paid employment. The primary outcome was available in 859 (85.3%) participants. There was no significant between-group difference in activity volume at 3 months (adjusted intervention effect 8.8 counts per minute [cpm]; 95% CI -18.7 to 36.3; p = 0.53). We found no significant between-group differences in the secondary outcomes of step counts per day, time spent in moderate or vigorous activity, time spent in vigorous activity, and time spent in moderate-intensity activity (accelerometer-derived variables); as well as in total physical activity, home-based activity, work-based activity, leisure-based activity, commuting physical activity, and screen or TV time (self-reported physical activity variables). Of the 505 intervention participants, 491 (97%) received the Step it Up intervention. Analysis of 37 intervention consultations showed that 60% of Step it Up components were delivered faithfully. The intervention cost £18.04 per participant. Incremental cost to the NHS per 1,000-step increase per day was £96 and to society was £239. Adverse events were reported by 5 intervention participants (of which 2 were serious) and 5 control participants (of which 2 were serious). The study's limitations include a participation rate of 16% and low return of audiotapes by practices for fidelity assessment.Conclusions: In this large well-conducted trial, we found no evidence of effect of a plausible very brief pedometer intervention embedded in NHS Health Checks on objectively measured activity at 3-month follow-up.Trial Registration: Current Controlled Trials (ISRCTN72691150). [ABSTRACT FROM AUTHOR]- Published
- 2020
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22. Prevalence of depressive symptoms and its associated factors in older adults: a cross-sectional study in Kathmandu, Nepal
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Simkhada, Rajani, primary, Wasti, Sharada P., additional, GC, Vijay S., additional, and Lee, Andrew C. K., additional
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- 2017
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23. Prevalence of depressive symptoms and its associated factors in older adults: a cross-sectional study in Kathmandu, Nepal.
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Simkhada, Rajani, Wasti, Sharada P., GC, Vijay S., and Lee, Andrew C. K.
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MENTAL depression risk factors ,GERIATRIC assessment ,CONFIDENCE intervals ,MENTAL depression ,METROPOLITAN areas ,MULTIVARIATE analysis ,LOGISTIC regression analysis ,EXTENDED families ,SOCIAL support ,BODY movement ,DISEASE prevalence ,CROSS-sectional method ,GERIATRIC Depression Scale ,ODDS ratio ,OLD age - Abstract
Objective : Globally, depression is one of the most prevalent and burdensome conditions in older adults. However, there are few population-based studies of depression in older adults in developing countries. In this paper, we examine the prevalence of depressive symptoms and explore possible contributory risk factors in older adults living in Nepal.Methods : A cross-sectional study was conducted in two semi-urban communities in Kathmandu, Nepal. Depression was assessed using the 15-item Geriatric Depression Scale in 303 participants, aged 60 years and over. Multivariate logistic regression was then used to assess associations between potential risk factors and depression.Results : More than half of the participants (n = 175, 60.6%) had significant depressive symptomatology, with 27.7% having scores suggesting mild depression. Illiteracy (aOR = 2.01, 95% CI: 1.08-3.75), physical immobility (aOR = 5.62, 95% CI: 1.76-17.99), the presence of physical health problems (aOR = 1.97, 95% CI: 1.03-3.77), not having any time spent with family members (aOR = 3.55, 95% CI: 1.29-9.76) and not being considered in family decision-making (aOR = 4.02, 95% CI: 2.01-8.04) were significantly associated with depression in older adults.Conclusion : The prevalence of depression was significant in older adults. There are clear associations of depression with demographic, social support and physical well-being factors in this population. Strategies that increase awareness in the community along with the health and social care interventions are needed to address the likely drivers of depression in older adults. [ABSTRACT FROM AUTHOR]- Published
- 2018
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24. Factors influencing adherence to antiretroviral treatment in Asian developing countries: a systematic review
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Wasti, Sharada P., primary, van Teijlingen, Edwin, additional, Simkhada, Padam, additional, Randall, Julian, additional, Baxter, Susan, additional, Kirkpatrick, Pamela, additional, and GC, Vijay S., additional
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- 2011
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25. Evaluation of a very brief pedometer-based physical activity intervention delivered in NHS Health Checks in England: The VBI randomised controlled trial
- Author
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Hardeman, Wendy, Mitchell, Joanna, Pears, Sally, Van Emmenis, Miranda, Theil, Florence, Gc, Vijay S, Vasconcelos, Joana C, Westgate, Kate, Brage, Søren, Suhrcke, Marc, Griffin, Simon J, Kinmonth, Ann Louise, Wilson, Edward CF, Prevost, A Toby, Sutton, Stephen, and VBI Research Team
- Subjects
Adult ,Male ,Time Factors ,Primary Health Care ,Cost-Benefit Analysis ,Fitness Trackers ,Health Care Costs ,Middle Aged ,Actigraphy ,Healthy Volunteers ,State Medicine ,3. Good health ,England ,Humans ,Female ,Healthy Lifestyle ,Exercise ,Aged - Abstract
BACKGROUND: The majority of people do not achieve recommended levels of physical activity. There is a need for effective, scalable interventions to promote activity. Self-monitoring by pedometer is a potentially suitable strategy. We assessed the effectiveness and cost-effectiveness of a very brief (5-minute) pedometer-based intervention ('Step It Up') delivered as part of National Health Service (NHS) Health Checks in primary care. METHODS AND FINDINGS: The Very Brief Intervention (VBI) Trial was a two parallel-group, randomised controlled trial (RCT) with 3-month follow-up, conducted in 23 primary care practices in the East of England. Participants were 1,007 healthy adults aged 40 to 74 years eligible for an NHS Health Check. They were randomly allocated (1:1) using a web-based tool between October 1, 2014, and December 31, 2015, to either intervention (505) or control group (502), stratified by primary care practice. Participants were aware of study group allocation. Control participants received the NHS Health Check only. Intervention participants additionally received Step It Up: a 5-minute face-to-face discussion, written materials, pedometer, and step chart. The primary outcome was accelerometer-based physical activity volume at 3-month follow-up adjusted for sex, 5-year age group, and general practice. Secondary outcomes included time spent in different intensities of physical activity, self-reported physical activity, and economic measures. We conducted an in-depth fidelity assessment on a subsample of Health Check consultations. Participants' mean age was 56 years, two-thirds were female, they were predominantly white, and two-thirds were in paid employment. The primary outcome was available in 859 (85.3%) participants. There was no significant between-group difference in activity volume at 3 months (adjusted intervention effect 8.8 counts per minute [cpm]; 95% CI -18.7 to 36.3; p = 0.53). We found no significant between-group differences in the secondary outcomes of step counts per day, time spent in moderate or vigorous activity, time spent in vigorous activity, and time spent in moderate-intensity activity (accelerometer-derived variables); as well as in total physical activity, home-based activity, work-based activity, leisure-based activity, commuting physical activity, and screen or TV time (self-reported physical activity variables). Of the 505 intervention participants, 491 (97%) received the Step it Up intervention. Analysis of 37 intervention consultations showed that 60% of Step it Up components were delivered faithfully. The intervention cost £18.04 per participant. Incremental cost to the NHS per 1,000-step increase per day was £96 and to society was £239. Adverse events were reported by 5 intervention participants (of which 2 were serious) and 5 control participants (of which 2 were serious). The study's limitations include a participation rate of 16% and low return of audiotapes by practices for fidelity assessment. CONCLUSIONS: In this large well-conducted trial, we found no evidence of effect of a plausible very brief pedometer intervention embedded in NHS Health Checks on objectively measured activity at 3-month follow-up. TRIAL REGISTRATION: Current Controlled Trials (ISRCTN72691150).
26. Cost-effectiveness of physical activity interventions in adolescents: model development and illustration using two exemplar interventions
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Gc, Vijay S, Suhrcke, Marc, Atkin, Andrew J, Van Sluijs, Esther, and Turner, David
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Male ,Schools ,Adolescent ,Primary Health Care ,4. Education ,Cost-Benefit Analysis ,physical activity ,Markov Chains ,3. Good health ,Quality of Life ,health economics ,young adult ,Humans ,Female ,cost-effectiveness ,Exercise ,Program Evaluation - Abstract
OBJECTIVE: To develop a model to assess the long-term costs and health outcomes of physical activity interventions targeting adolescents. DESIGN: A Markov cohort simulation model was constructed with the intention of being capable of estimating long-term costs and health impacts of changes in activity levels during adolescence. The model parameters were informed by published literature and the analysis took a National Health Service perspective over a lifetime horizon. Univariate and probabilistic sensitivity analyses were undertaken. SETTING: School and community. PARTICIPANTS: A hypothetical cohort of adolescents aged 16 years at baseline. INTERVENTIONS: Two exemplar school-based: a comparatively simple, after-school intervention and a more complex multicomponent intervention compared with usual care. PRIMARY AND SECONDARY OUTCOME MEASURES: Incremental cost-effectiveness ratio as measured by cost per quality-adjusted life year gained. RESULTS: The model gave plausible estimates of the long-term effect of changes in physical activity. The use of two exemplar interventions suggests that the model could potentially be used to evaluate a number of different physical activity interventions in adolescents. The key model driver was the degree to which intervention effects were maintained over time. CONCLUSIONS: The model developed here has the potential to assess long-term value for money of physical activity interventions in adolescents. The two applications of the model indicate that complex interventions may not necessarily be the ones considered the most cost-effective when longer-term costs and consequences are taken into account.
27. Evaluation of a very brief pedometer-based physical activity intervention delivered in NHS Health Checks in England: The VBI randomised controlled trial
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Hardeman, Wendy, Mitchell, Joanna, Pears, Sally, Van Emmenis, Miranda, Theil, Florence, Gc, Vijay S., Vasconcelos, Joana C., Westgate, Kate, Brage, Søren, Suhrcke, Marc, Griffin, Simon J., Kinmonth, Ann Louise, Wilson, Edward C. F., Prevost, A. Toby, Sutton, Stephen, and Team, On Behalf Of The VBI Research
- Subjects
Medicine and health sciences ,Research and analysis methods ,FOS: Social sciences ,Engineering and technology ,People and places ,FOS: Engineering and technology ,Social sciences ,3. Good health ,Research Article - Abstract
Background: The majority of people do not achieve recommended levels of physical activity. There is a need for effective, scalable interventions to promote activity. Self-monitoring by pedometer is a potentially suitable strategy. We assessed the effectiveness and cost-effectiveness of a very brief (5-minute) pedometer-based intervention (‘Step It Up’) delivered as part of National Health Service (NHS) Health Checks in primary care. Methods and findings: The Very Brief Intervention (VBI) Trial was a two parallel-group, randomised controlled trial (RCT) with 3-month follow-up, conducted in 23 primary care practices in the East of England. Participants were 1,007 healthy adults aged 40 to 74 years eligible for an NHS Health Check. They were randomly allocated (1:1) using a web-based tool between October 1, 2014, and December 31, 2015, to either intervention (505) or control group (502), stratified by primary care practice. Participants were aware of study group allocation. Control participants received the NHS Health Check only. Intervention participants additionally received Step It Up: a 5-minute face-to-face discussion, written materials, pedometer, and step chart. The primary outcome was accelerometer-based physical activity volume at 3-month follow-up adjusted for sex, 5-year age group, and general practice. Secondary outcomes included time spent in different intensities of physical activity, self-reported physical activity, and economic measures. We conducted an in-depth fidelity assessment on a subsample of Health Check consultations. Participants’ mean age was 56 years, two-thirds were female, they were predominantly white, and two-thirds were in paid employment. The primary outcome was available in 859 (85.3%) participants. There was no significant between-group difference in activity volume at 3 months (adjusted intervention effect 8.8 counts per minute [cpm]; 95% CI −18.7 to 36.3; p = 0.53). We found no significant between-group differences in the secondary outcomes of step counts per day, time spent in moderate or vigorous activity, time spent in vigorous activity, and time spent in moderate-intensity activity (accelerometer-derived variables); as well as in total physical activity, home-based activity, work-based activity, leisure-based activity, commuting physical activity, and screen or TV time (self-reported physical activity variables). Of the 505 intervention participants, 491 (97%) received the Step it Up intervention. Analysis of 37 intervention consultations showed that 60% of Step it Up components were delivered faithfully. The intervention cost £18.04 per participant. Incremental cost to the NHS per 1,000-step increase per day was £96 and to society was £239. Adverse events were reported by 5 intervention participants (of which 2 were serious) and 5 control participants (of which 2 were serious). The study’s limitations include a participation rate of 16% and low return of audiotapes by practices for fidelity assessment. Conclusions: In this large well-conducted trial, we found no evidence of effect of a plausible very brief pedometer intervention embedded in NHS Health Checks on objectively measured activity at 3-month follow-up. Trial registration: Current Controlled Trials (ISRCTN72691150).
28. Evaluation of a very brief pedometer-based physical activity intervention delivered in NHS Health Checks in England: The VBI randomised controlled trial
- Author
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Hardeman, Wendy, Mitchell, Joanna, Pears, Sally, Van Emmenis, Miranda, Theil, Florence, Gc, Vijay S, Vasconcelos, Joana C, Westgate, Kate, Brage, Søren, Suhrcke, Marc, Griffin, Simon J, Kinmonth, Ann Louise, Wilson, Edward C F, Prevost, A Toby, and Sutton, Stephen
- Subjects
3. Good health - Abstract
BACKGROUND:The majority of people do not achieve recommended levels of physical activity. There is a need for effective, scalable interventions to promote activity. Self-monitoring by pedometer is a potentially suitable strategy. We assessed the effectiveness and cost-effectiveness of a very brief (5-minute) pedometer-based intervention ('Step It Up') delivered as part of National Health Service (NHS) Health Checks in primary care. METHODS AND FINDINGS:The Very Brief Intervention (VBI) Trial was a two parallel-group, randomised controlled trial (RCT) with 3-month follow-up, conducted in 23 primary care practices in the East of England. Participants were 1,007 healthy adults aged 40 to 74 years eligible for an NHS Health Check. They were randomly allocated (1:1) using a web-based tool between October 1, 2014, and December 31, 2015, to either intervention (505) or control group (502), stratified by primary care practice. Participants were aware of study group allocation. Control participants received the NHS Health Check only. Intervention participants additionally received Step It Up: a 5-minute face-to-face discussion, written materials, pedometer, and step chart. The primary outcome was accelerometer-based physical activity volume at 3-month follow-up adjusted for sex, 5-year age group, and general practice. Secondary outcomes included time spent in different intensities of physical activity, self-reported physical activity, and economic measures. We conducted an in-depth fidelity assessment on a subsample of Health Check consultations. Participants' mean age was 56 years, two-thirds were female, they were predominantly white, and two-thirds were in paid employment. The primary outcome was available in 859 (85.3%) participants. There was no significant between-group difference in activity volume at 3 months (adjusted intervention effect 8.8 counts per minute [cpm]; 95% CI -18.7 to 36.3; p = 0.53). We found no significant between-group differences in the secondary outcomes of step counts per day, time spent in moderate or vigorous activity, time spent in vigorous activity, and time spent in moderate-intensity activity (accelerometer-derived variables); as well as in total physical activity, home-based activity, work-based activity, leisure-based activity, commuting physical activity, and screen or TV time (self-reported physical activity variables). Of the 505 intervention participants, 491 (97%) received the Step it Up intervention. Analysis of 37 intervention consultations showed that 60% of Step it Up components were delivered faithfully. The intervention cost £18.04 per participant. Incremental cost to the NHS per 1,000-step increase per day was £96 and to society was £239. Adverse events were reported by 5 intervention participants (of which 2 were serious) and 5 control participants (of which 2 were serious). The study's limitations include a participation rate of 16% and low return of audiotapes by practices for fidelity assessment. CONCLUSIONS:In this large well-conducted trial, we found no evidence of effect of a plausible very brief pedometer intervention embedded in NHS Health Checks on objectively measured activity at 3-month follow-up. TRIAL REGISTRATION:Current Controlled Trials (ISRCTN72691150).
29. Evaluation of a very brief pedometer-based physical activity intervention delivered in NHS Health Checks in England: The VBI randomised controlled trial
- Author
-
A Toby Prevost, Stephen Sutton, Soren Brage, Joana C. Vasconcelos, Ann Louise Kinmonth, Simon J. Griffin, Florence Theil, Wendy Hardeman, Joanna Mitchell, Kate Westgate, Miranda Van Emmenis, Edward C. F. Wilson, Marc Suhrcke, Sally Pears, Vijay Gc, Hardeman, Wendy [0000-0002-6498-9407], Mitchell, Joanna [0000-0003-2138-3402], Pears, Sally [0000-0002-6417-1402], Gc, Vijay S [0000-0003-0365-2605], Vasconcelos, Joana C [0000-0001-7709-4058], Westgate, Kate [0000-0002-0283-3562], Brage, Søren [0000-0002-1265-7355], Suhrcke, Marc [0000-0001-7263-8626], Griffin, Simon J [0000-0002-2157-4797], Wilson, Edward CF [0000-0002-8369-1577], Prevost, A Toby [0000-0003-1723-0796], Apollo - University of Cambridge Repository, Gc, Vijay S. [0000-0003-0365-2605], Vasconcelos, Joana C. [0000-0001-7709-4058], Griffin, Simon J. [0000-0002-2157-4797], Wilson, Edward C. F. [0000-0002-8369-1577], Prevost, A. Toby [0000-0003-1723-0796], and Wilson, Edward C F [0000-0002-8369-1577]
- Subjects
Male ,Time Factors ,Economics ,Health Care Providers ,Cost-Benefit Analysis ,Psychological intervention ,Fitness Trackers/economics ,Nurses ,Social Sciences ,030204 cardiovascular system & hematology ,Cardiovascular Medicine ,Primary Health Care/economics ,State Medicine ,law.invention ,0302 clinical medicine ,Randomized controlled trial ,law ,Medicine and Health Sciences ,Public and Occupational Health ,030212 general & internal medicine ,Medical Personnel ,Cost–benefit analysis ,General Medicine ,Cost-effectiveness analysis ,Health Care Costs ,Middle Aged ,Healthy Volunteers ,3. Good health ,Actigraphy/economics ,Professions ,England ,Cardiovascular Diseases ,Medicine ,Engineering and Technology ,State Medicine/economics ,Female ,Behavioral and Social Aspects of Health ,Research Article ,Adult ,medicine.medical_specialty ,Drug Research and Development ,Cost-Effectiveness Analysis ,Fitness Trackers ,Research and Analysis Methods ,03 medical and health sciences ,Intervention (counseling) ,medicine ,Humans ,Clinical Trials ,Healthy Lifestyle ,Exercise ,Primary Care ,Aged ,NHS health check ,Pharmacology ,Primary Health Care ,business.industry ,Physical Activity ,Actigraphy ,Randomized Controlled Trials ,Economic Analysis ,Health Care ,Pedometer ,People and Places ,Physical therapy ,Population Groupings ,Brief intervention ,Electronics ,Accelerometers ,Clinical Medicine ,business - Abstract
Background The majority of people do not achieve recommended levels of physical activity. There is a need for effective, scalable interventions to promote activity. Self-monitoring by pedometer is a potentially suitable strategy. We assessed the effectiveness and cost-effectiveness of a very brief (5-minute) pedometer-based intervention (‘Step It Up’) delivered as part of National Health Service (NHS) Health Checks in primary care. Methods and findings The Very Brief Intervention (VBI) Trial was a two parallel-group, randomised controlled trial (RCT) with 3-month follow-up, conducted in 23 primary care practices in the East of England. Participants were 1,007 healthy adults aged 40 to 74 years eligible for an NHS Health Check. They were randomly allocated (1:1) using a web-based tool between October 1, 2014, and December 31, 2015, to either intervention (505) or control group (502), stratified by primary care practice. Participants were aware of study group allocation. Control participants received the NHS Health Check only. Intervention participants additionally received Step It Up: a 5-minute face-to-face discussion, written materials, pedometer, and step chart. The primary outcome was accelerometer-based physical activity volume at 3-month follow-up adjusted for sex, 5-year age group, and general practice. Secondary outcomes included time spent in different intensities of physical activity, self-reported physical activity, and economic measures. We conducted an in-depth fidelity assessment on a subsample of Health Check consultations. Participants’ mean age was 56 years, two-thirds were female, they were predominantly white, and two-thirds were in paid employment. The primary outcome was available in 859 (85.3%) participants. There was no significant between-group difference in activity volume at 3 months (adjusted intervention effect 8.8 counts per minute [cpm]; 95% CI −18.7 to 36.3; p = 0.53). We found no significant between-group differences in the secondary outcomes of step counts per day, time spent in moderate or vigorous activity, time spent in vigorous activity, and time spent in moderate-intensity activity (accelerometer-derived variables); as well as in total physical activity, home-based activity, work-based activity, leisure-based activity, commuting physical activity, and screen or TV time (self-reported physical activity variables). Of the 505 intervention participants, 491 (97%) received the Step it Up intervention. Analysis of 37 intervention consultations showed that 60% of Step it Up components were delivered faithfully. The intervention cost £18.04 per participant. Incremental cost to the NHS per 1,000-step increase per day was £96 and to society was £239. Adverse events were reported by 5 intervention participants (of which 2 were serious) and 5 control participants (of which 2 were serious). The study’s limitations include a participation rate of 16% and low return of audiotapes by practices for fidelity assessment. Conclusions In this large well-conducted trial, we found no evidence of effect of a plausible very brief pedometer intervention embedded in NHS Health Checks on objectively measured activity at 3-month follow-up. Trial registration Current Controlled Trials (ISRCTN72691150)., Wendy Hardeman and colleagues investigate a short physical activity intervention in a randomized controlled trial., Author summary Why was this study done? Systematic reviews support the effectiveness and cost-effectiveness of brief (up to 30 minutes) physical activity interventions in primary care and the effectiveness of intensive pedometer interventions. There is a need for briefer interventions in primary care, where time is limited but potential reach is large. However, the reviews show uncertainty about the effectiveness and cost-effectiveness of very brief (up to 5 minutes) interventions in primary care. Until now, there have been no randomised controlled trials (RCTs) of a very brief pedometer-based intervention to increase physical activity in primary care. What did the researchers do and find? We randomly assigned participants who attended preventive health checks in primary care (National Health Service [NHS] Health Checks) to the health check alone or additionally a very brief pedometer-based physical activity intervention delivered by practice nurses or healthcare assistants. We measured physical activity objectively at 3 months after the intervention. Our large trial found no benefit of a very brief physical activity intervention in the context of preventive health checks in primary care. Despite the intervention being apparently simple and very brief, fidelity of delivery was suboptimal. Trial participants were more active than might have been expected. The economic evaluation shows a small added cost for a small and uncertain benefit. What do these findings mean? The absence of a positive effect of a very brief physical activity intervention challenges the commissioning of such interventions in this context. Primary care practitioners should continue to opportunistically provide very brief advice about physical activity.
- Published
- 2020
- Full Text
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