20 research outputs found

    Data Segmentation in Electronic Health Information Exchange: Policy Considerations and Analysis

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    The issue of whether and, if so, to what extent patients should have control over the sharing or withholding of their health information represents one of the foremost policy challenges related to electronic health information exchange. It is widely acknowledged that patients\u27 health information should flow where and when it is needed to support the provision of appropriate and high-quality care. Equally significant, however, is the notion that patients want their needs and preferences to be considered in the determination of what information is shared with other parties, for what purposes, and under what conditions. Some patients may prefer to withhold or sequester certain elements of health information, often when it is deemed by them (or on their behalf) to be sensitive, whereas others may feel strongly that all of their health information should be shared under any circumstance. This discussion raises the issue of data segmentation, which we define for the purposes of this paper as the process of sequestering from capture, access or view certain data elements that are perceived by a legal entity, institution, organization, or individual as being undesirable to share. This whitepaper explores key components of data segmentation, circumstances for its use, associated benefits and challenges, various applied approaches, and the current legal environment shaping these endeavors

    Small contribution of gold mines to the ongoing tuberculosis epidemic in South Africa: a modeling-based study.

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    BACKGROUND: Gold mines represent a potential hotspot for Mycobacterium tuberculosis (Mtb) transmission and may be exacerbating the tuberculosis (TB) epidemic in South Africa. However, the presence of multiple factors complicates estimation of the mining contribution to the TB burden in South Africa. METHODS: We developed two models of TB in South Africa, a static risk model and an individual-based model that accounts for longer-term trends. Both models account for four populations - mine workers, peri-mining residents, labor-sending residents, and other residents of South Africa - including the size and prevalence of latent TB infection, active TB, and HIV of each population and mixing between populations. We calibrated to mine- and country-level data and used the static model to estimate force of infection (FOI) and new infections attributable to local residents in each community compared to other residents. Using the individual-based model, we simulated a counterfactual scenario to estimate the fraction of overall TB incidence in South Africa attributable to recent transmission in mines. RESULTS: We estimated that the majority of FOI in each community is attributable to local residents: 93.9% (95% confidence interval 92.4-95.1%), 91.5% (91.4-91.5%), and 94.7% (94.7-94.7%) in gold mining, peri-mining, and labor-sending communities, respectively. Assuming a higher rate of Mtb transmission in mines, 4.1% (2.6-5.8%), 5.0% (4.5-5.5%), and 9.0% (8.8-9.1%) of new infections in South Africa are attributable to gold mine workers, peri-mining residents, and labor-sending residents, respectively. Therefore, mine workers with TB disease, who constitute ~ 2.5% of the prevalent TB cases in South Africa, contribute 1.62 (1.04-2.30) times as many new infections as TB cases in South Africa on average. By modeling TB on a longer time scale, we estimate 63.0% (58.5-67.7%) of incident TB disease in gold mining communities to be attributable to recent transmission, of which 92.5% (92.1-92.9%) is attributable to local transmission. CONCLUSIONS: Gold mine workers are estimated to contribute a disproportionately large number of Mtb infections in South Africa on a per-capita basis. However, mine workers contribute only a small fraction of overall Mtb infections in South Africa. Our results suggest that curtailing transmission in mines may have limited impact at the country level, despite potentially significant impact at the mining level

    Correction to: Small contribution of gold mines to the ongoing tuberculosis epidemic in South Africa: a modeling-based study.

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    The original article [1] did not contain comprehensive information regarding two authors' affiliations that may be considered a potential competing interest

    Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models.

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    BACKGROUND: The post-2015 End TB Strategy proposes targets of 50% reduction in tuberculosis incidence and 75% reduction in mortality from tuberculosis by 2025. We aimed to assess whether these targets are feasible in three high-burden countries with contrasting epidemiology and previous programmatic achievements. METHODS: 11 independently developed mathematical models of tuberculosis transmission projected the epidemiological impact of currently available tuberculosis interventions for prevention, diagnosis, and treatment in China, India, and South Africa. Models were calibrated with data on tuberculosis incidence and mortality in 2012. Representatives from national tuberculosis programmes and the advocacy community provided distinct country-specific intervention scenarios, which included screening for symptoms, active case finding, and preventive therapy. FINDINGS: Aggressive scale-up of any single intervention scenario could not achieve the post-2015 End TB Strategy targets in any country. However, the models projected that, in the South Africa national tuberculosis programme scenario, a combination of continuous isoniazid preventive therapy for individuals on antiretroviral therapy, expanded facility-based screening for symptoms of tuberculosis at health centres, and improved tuberculosis care could achieve a 55% reduction in incidence (range 31-62%) and a 72% reduction in mortality (range 64-82%) compared with 2015 levels. For India, and particularly for China, full scale-up of all interventions in tuberculosis-programme performance fell short of the 2025 targets, despite preventing a cumulative 3·4 million cases. The advocacy scenarios illustrated the high impact of detecting and treating latent tuberculosis. INTERPRETATION: Major reductions in tuberculosis burden seem possible with current interventions. However, additional interventions, adapted to country-specific tuberculosis epidemiology and health systems, are needed to reach the post-2015 End TB Strategy targets at country level. FUNDING: Bill and Melinda Gates Foundation

    Consumer Consent Options for Electronic Health Information Exchange: Policy Considerations and Analysis

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    The issue of whether, to what extent, and how individuals should have the ability to exercise control over their health information represents one of the foremost policy challenges related to the electronic exchange of health information. The current landscape of possible consent models is varied, and the factors involved in choosing among them are complex. States and other entities engaged in facilitating the exchange of electronic health information are struggling with a host of challenges, chief among them the establishment of policies and procedures for patient participation in their exchange efforts. While some have adopted policies enabling patients to exercise individual choice, others have prioritized the needs and concerns of other key stakeholders, such as providers and payers. The purpose of this paper is to discuss in detail the issues, nuanced considerations, and possible tradeoffs associated with the various consent options to help facilitate informed decision making
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