Daniel Lombard
London School of Economics and Political Science
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Publication
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Health & Social Care in The Community | 2017
Jacqueline Damant; Martin Knapp; Paul P. Freddolino; Daniel Lombard
It is often asserted that older peoples quality of life (QOL) is improved when they adopt information and communication technology (ICT) such as the Internet, mobile phones and computers. Similar assumptions are made about older peoples use of ICT-based care such as telecare and telehealth. To examine the evidence around these claims, we conducted a scoping review of the academic and grey literature, coving the period between January 2007 and August 2014. A framework analysis approach, based on six domains of QOL derived from the ASCOT and WHOQOL models, was adopted to deductively code and analyse relevant literature. The review revealed mixed results. Older peoples use of ICT in both mainstream and care contexts has been shown to have both positive and negative impacts on several aspects of QOL. Studies which have rigorously assessed the impact of older peoples use of ICT on their QOL mostly demonstrate little effect. A number of qualitative studies have reported on the positive effects for older people who use ICT such as email or Skype to keep in touch with family and friends. Overall, the review unearthed several inconsistencies around the effects of older peoples ICT use on their QOL, suggesting that implicit agreement is needed on the best research methods and instrumentation to adequately describe older peoples experiences in todays digital age. Moreover, the available evidence does not consider the large number of older people who do not use ICT and how non-use affects QOL.
BMC Health Services Research | 2017
Adelina Comas-Herrera; Martin Knapp; Raphael Wittenberg; Sube Banerjee; Ann Bowling; Emily Grundy; Carol Jagger; Nicolas Farina; Daniel Lombard; Klara Lorenz; David McDaid
BackgroundThe MODEM project (A comprehensive approach to MODelling outcome and costs impacts of interventions for DEMentia) explores how changes in arrangements for the future treatment and care of people living with dementia, and support for family and other unpaid carers, could result in better outcomes and more efficient use of resources.MethodsMODEM starts with a systematic mapping of the literature on effective and (potentially) cost-effective interventions in dementia care. Those findings, as well as data from a cohort, will then be used to model the quality of life and cost impacts of making these evidence-based interventions more widely available in England over the period from now to 2040. Modelling will use a suite of models, combining microsimulation and macrosimulation methods, modelling the costs and outcomes of care, both for an individual over the life-course from the point of dementia diagnosis, and for individuals and England as a whole in a particular year.Project outputs will include an online Dementia Evidence Toolkit, making evidence summaries and a literature database available free to anyone, papers in academic journals and other written outputs, and a MODEM Legacy Model, which will enable local commissioners of services to apply the model to their own populations.DiscussionModelling the effects of evidence-based cost-effective interventions and making this information widely available has the potential to improve the health and quality of life both of people with dementia and their carers, while ensuring that resources are used efficiently.
BMC Health Services Research | 2018
Jitendra Kumar Singh; Rajendra Kadel; Dilaram Acharya; Daniel Lombard; Saval Khanal; Shri Prakash Singh
BackgroundCapacity development of health volunteers and text messaging to pregnant women through mobile phones have shown improved maternal and child health (MCH) outcomes and is associated with increased utilisation of MCH services. However, such interventions are uncommon in Nepal. We aim to carry out an intervention with the hypothesis that capacity building and text messaging intervention will increase the MCH service utilisation.Method/designMATRI-SUMAN is a 12-month cluster randomized controlled trial (RCT). The trial involves pregnant women from 52 clusters of six village development committees (VDCs) covering 66,000 populations of Dhanusha district of Nepal. In the intervention clusters, Female Community Health Volunteers (FCHVs) will receive capacity development skills through reinforcement training, supervision and monitoring skills for the promotion of health seeking behaviour among pregnant women and study participants will receive periodic promotional text messaging service about MCH components through mobile phones. A sample of 354with equal numbers in each study arm is estimated using power calculation formula. The primary outcomes of this study are the rate of utilization of skilled birth attendants and consumption of a specified diversified meal. The secondary outcomes are: four antenatal (ANC) visits, weight gain of women during pregnancy, delivery of a baby at the health facility, postnatal care (PNC) visits, positive changes in child feeding practices among mothers, performance of FCHVs in MCH service utilization.DiscussionThe intervention is designed to enhance the capacity of health volunteers for the promotion of health seeking behaviour among pregnant women and text messaging through a mobile phone to expecting mothers to increase MCH service utilization. The trial if proven effective will have policy implications in poor resource settings.Trial registrationISRCTN60684155, (https://doi.org/10.1186/ISRCTN60684155). The trial was registered retrospectively.
Social Policy & Administration | 2017
Lorraine Williams; Stefanie Ettelt; Margaret Perkins; Raphael Wittenberg; Daniel Lombard; Jackie Damant; Nicholas Mays
Journal of Nepal Health Research Council | 2017
Jitendra Kumar Singh; Dilaram Acharya; Rajendra Kadel; Samaj Adhikari; Daniel Lombard; Sumitra Koirala; Rajan Paudel
LSE Research Online Documents on Economics | 2014
Josie Dixon; Sophia Winterbourne; Daniel Lombard; Sarah Watters; Marija Trachtenberg; Martin Knapp; Sarah Joy; Susana Corral; Femi Nzegwu; Alison McNulty
Journal of Social Policy | 2018
Stefanie Ettelt; Lorraine Williams; Margaret Perkins; Raphael Wittenberg; Daniel Lombard; Jacqueline Damant; Nicholas Mays
Archive | 2017
Daniel Lombard
Innovation in Aging | 2017
Adelina Comas-Herrera; David McDaid; A-La Park; Bayo Adelaja; Daniel Lombard; Martin Knapp
Archive | 2015
Stefanie Ettelt; Raphael Wittenberg; Lorraine Williams; Margaret Perkins; Daniel Lombard; Jacqueline Damant; Nicholas Mays