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.
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.
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.
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.
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.
Current Controlled Trials (ISRCTN72691150).
Introduction
Wearable Digital Health Technologies (WDHTs) can support and enhance self-management by giving individuals with chronic conditions more control over their health, safety and wellbeing. ...Involving patients early on in the design of these technologies facilitates the development of person-centered products. It may increase the potential uptake of (and adherence to) any intervention they are designed to deliver. This research aims to elicit chronic kidney disease (CKD) patients’ preferences for WDHTs that may help patients manage their conditions.
Methods
We used discrete choice experiments (DCE) to elicit preferences for WDHTs characterized by their generalizable characteristics. The study design was informed by a multi-stage mixed-method approach (MSMMA). This included a review of the published literature, focus group interviews and one-to-one interactions with CKD patients to identify relevant characteristics (that is, attributes and levels) associated with wearable DHTs. We collected the data from 113 patients (age ≥18 years) with stage 3 or above CKD. The analysis started with a conventional multinomial logit model and was extended by investigating heterogeneity in preferences via latent class models.
Results
Our MSMMA yielded ten potential attributes for consideration in a choice task. The final list included five attributes, cross-checked and validated by the research team, and patient representatives. The most preferred attributes of WDHTs were device appearance, format and type of information provided, and mode of engagement with patients. Respondents preferred a discreet device, which offered options that individuals could choose from and provided medical information.
Conclusions
We show how to use MSMMA to elicit user preferences in (and to inform the) early stages of the development of WDHTs. Individuals with CKD preferred specific characteristics that would make them more likely to engage with the self-management support WDHT. Our results provide valuable insights that can be used to inform the development of different WDHTs for different segments of the CKD patients population, moving away from a one-size-fits-all provision and resulting in population health gains.
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.
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.
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.
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.
Introduction
Wearable digital health technologies (WDHTs) offer several solutions in terms of disease monitoring, management and delivery of specific interventions. In chronic conditions, WDHTs can ...be used to support individuals’ self-management efforts, potentially improving adherence to (and outcomes resulting from) interventions. Early health technology assessment (HTA) methods can inform considerations about the potential clinical and economic benefits of technology in the initial phases of the product's lifecycle, facilitating identification of those Research & Development (R&D) investments with the greatest potential stakeholders’ payoff. We report our experience of using early HTA methods to support R&D decisions relating to novel WDHT being designed to support self-management of chronic kidney disease (CKD).
Methods
We performed a literature review, focus-group interviews with patients, and qualitative interviews with the prototype development team to understand the relevant characteristics of WDHTs, quantify relevant clinical indications and existing technological constraints. An early economic evaluation was used to identify the key drivers of value for money, and a discrete choice experiment shed light onto patient preferences towards what key features the WDHT should have for the users to adopt it. Then a model-based cost-effectiveness analysis was undertaken incorporating headroom analysis, return on investment, one-way sensitivity analysis and scenario analyses using data from secondary sources.
Results
The review of the literature, focus groups with CKD patients, and qualitative interviews with technology developers helped to understand relevant characteristics of WDHT and user preferences helped inform the next R&D iteration. Compared to the standard care, WDHT that support stage ≥3 CKD patients self-management at home by measuring blood pressure and monitor mobility has the potential to be cost-effective at conventional cost-effectiveness threshold levels. From the headroom analysis, novel WDHT can be priced up to GBP280 (EUR315, USD360) and still be cost-effective compared to standard home blood pressure monitoring.
Conclusions
Our study provides valuable information for the further development of the WDHT, such as defining a go/no-go decision, as well as providing a template for performing early HTA of Digital Health Interventions.
Abstract
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.
•Exclusive breastfeeding (EBF) for the first six months of life ensures a child's health and survival, but global breastfeeding rates lag behind recommendations.•This study assessed the prevalence of ...EBF practice in the first six months of life and associated factors in Nepal.•The pooled prevalence of EBF was 43 per cent, which is lower compared to both global and national targets.•Type of delivery, ethnic minority groups, and first-birth order were identified as key predictors of the EBF practices.•The EBF counselling should be incorporated into the existing healthcare counselling package to boost EBF practice in Nepal.
Despite the global emphasis on breastfeeding, exclusive breastfeeding (EBF) in the first six months of life still lag behind the global recommendations in low- and middle-income countries, such as Nepal. This systematic review aims to determine the prevalence of EBF in the first six months of life and the associated factors determining EBF practices in Nepal. The databases PubMed/MEDLINE, Embase, Scopus, Web of Science, Cochrane Library, MIDIRS, DOAJ, and the NepJOL were searched for peer-reviewed literature published up to December 2021. The JBI quality appraisal checklist was used to assess the quality of studies. Analyses were performed by pooling together studies using the random-effect model, and the I2 test was used to assess the heterogeneity of the included studies. A total of 340 records were found, out of which 59 full-text were screened. Finally, 28 studies met the inclusion criteria and were selected for analysis. The pooled prevalence of EBF was 43 % (95 % confidence interval: 34–53). The odds ratio for the type of delivery was 1.59 (1.24–2.05), for ethnic minority groups 1.33 (1.02–1.75) and for first-birth order 1.89 (1.33–2.67). We found a lower prevalence of exclusive breastfeeding practice in Nepal compared to the national target. Multifaceted, effective, evidence-based interventions would encourage individuals in the exclusive breastfeeding journey. Incorporating the BEF counselling component into Nepal’s existing maternal health counselling package may help promote exclusive breastfeeding practice. Further research to explore the reasons for the suboptimal level of EBF practice would help develop the targeted interventions pragmatically.
In recent years, the health of migrants has become an important global public health issue. However, less is known about the current status of research activity among Nepalese migrants' health. This ...study aimed to assess the current status of research activity by analysing published peer review literature on Nepalese migrants' health.
A systematic search of published literature on Nepalese migrant workers' health was conducted in Scopus, Medline, CINAHL, Embase, PsycINFO and Web of Science, and a bibliometric analysis methodology was used. The search of databases retrieved 520 records, and a total of 161 papers were included in the analysis. Bibliometric analyses were performed in R and VoSViewer to create visualisation maps.
The retrieved documents were published in the last three decades, and a total of 533 researchers originating from 24 countries contributed to the literature. A large proportion of papers (n=22) were published in a single year, in 2019, and the number of authors per journal ranged from one to 14. The topmost preferred journals for publications in Nepalese migrants’ health were PLoS One (n=9), followed by the Journal of Immigration and Minority Health (n=6). The retrieved articles received 2425 citations, with an average of 15.1 citations per article. The study identified nine overlapping research domains (thematic areas) - infectious disease, non-communicable diseases, health and lifestyle, sexual and reproductive health, access to health services, workplace safety, maternal health, gender-based violence, and health system and policy.
The present bibliometric study fills an analytical gap in the field of migrat's health research in Nepal and provides evidence and insights to advocate the formulation of strategies to promote the migrants' health vulnerabilities often associated with individual-related hazards such as working in 'difficult, dirty, and dangerous (3Ds) working conditions.
BackgroundBronchiolitis is the most common reason for hospital admission in infants. High-flow oxygen therapy has emerged as a new treatment; however, the cost-effectiveness of using it as first-line ...therapy is unknown.ObjectiveTo compare the cost of providing high-flow therapy as a first-line therapy compared with rescue therapy after failure of standard oxygen in the management of bronchiolitis.MethodsA within-trial economic evaluation from the health service perspective using data from a multicentre randomised controlled trial for hypoxic infants (≤12 months) admitted to hospital with bronchiolitis in Australia and New Zealand. Intervention costs, length of hospital and intensive care stay and associated costs were compared for infants who received first-line treatment with high-flow therapy (early high-flow, n=739) or for infants who received standard oxygen and optional rescue high-flow (rescue high-flow, n=733). Costs were applied using Australian costing sources and are reported in 2016–2017 AU$.ResultsThe incremental cost to avoid one treatment failure was AU$1778 (95% credible interval (CrI) 207 to 7096). Mean cost of bronchiolitis treatment including intervention costs and costs associated with length of stay was AU$420 (95% CrI −176 to 1002) higher per infant in the early high-flow group compared with the rescue high-flow group. There was an 8% (95% CrI 7.5 to 8.6) likelihood of the early high-flow oxygen therapy being cost saving.ConclusionsThe use of high-flow oxygen as initial therapy for respiratory failure in infants with bronchiolitis is unlikely to be cost saving to the health system, compared with standard oxygen therapy with rescue high-flow.
PDF
