Publications by authors named "Namita Mohta"

Article Synopsis
  • Interventions aimed at improving care for seriously ill patients often do not reach marginalized communities, including racialized, indigenous, and rural populations, despite their demonstrated benefits.
  • The study focused on understanding the implementation of the Serious Illness Care Program in healthcare systems that primarily serve these underserved groups by conducting qualitative interviews and focus groups with healthcare team members.
  • Three main themes were identified regarding implementation factors: patient-related challenges, specific elements of the intervention, and the health system's context; notable barriers include resource limitations and mistrust in healthcare, while mission-driven efforts and interprofessional collaboration were seen as supportive factors.
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The COVID-19 pandemic has exposed the medical and social vulnerability of an unprecedented number of people. Consequently, there has never been a more important time for clinicians to engage patients in advance care planning (ACP) discussions about their goals, values, and preferences in the event of critical illness. An evidence-based communication tool-the Serious Illness Conversation Guide-was adapted to address COVID-related ACP challenges using a user-centered design process: convening relevant experts to propose initial guide adaptations; soliciting feedback from key clinical stakeholders from multiple disciplines and geographic regions; and iteratively testing language with patient actors.

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Importance: Medication nonadherence accounts for up to half of uncontrolled hypertension. Smartphone applications (apps) that aim to improve adherence are widely available but have not been rigorously evaluated.

Objective: To determine if the Medisafe smartphone app improves self-reported medication adherence and blood pressure control.

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Background: Hypertension is a major contributor to the health and economic burden imposed by stroke, heart disease, and renal insufficiency. Antihypertensives can prevent many of the harmful effects of elevated blood pressure, but medication nonadherence is a known barrier to the effectiveness of these treatments. Smartphone-based applications that remind patients to take their medications, provide education, and allow for social interactions between individuals with similar health concerns have been widely advocated as a strategy to improve adherence but have not been subject to rigorous testing.

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Alternative payment models, such as accountable care organizations (ACOs), attempt to stimulate improvements in care delivery by better alignment of payer and provider incentives. However, limited attention has been paid to the physicians who actually deliver the care. In a large Medicare Pioneer ACO, we found that the number of beneficiaries per physician was low (median of seventy beneficiaries per physician, or less than 5 percent of a typical panel).

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Article Synopsis
  • - The study investigates how patients are chosen for care management programs (CMPs), focusing on hybrid methods that combine large data analysis with clinical reviews to identify high-risk patients among Medicare beneficiaries.
  • - Researchers analyzed 2,685 Medicare beneficiaries across 35 primary care practices, using mixed effects logistic models to identify factors that predict high-risk status, such as age, health conditions, and healthcare usage patterns.
  • - Findings show significant variation in high-risk patient identification between practices, suggesting that differences in resources and the need for ongoing training may contribute to inconsistencies in selecting patients for CMPs.
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There is an ongoing move toward payment models that hold providers increasingly accountable for the care of their patients. The success of these new models depends in part on the stability of patient populations. We investigated the amount of population turnover in a large Medicare Pioneer accountable care organization (ACO) in the period 2012-14.

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Objectives: Hybrid approaches to case finding show promise as a method to increase the success of care management programs (CMPs). A large healthcare system implemented a hybrid approach in which clinicians review algorithm-generated lists of potential high-risk patients within their practice and select the patients most appropriate for the CMP. We sought to understand the criteria clinicians used when selecting patients.

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Background: High-quality discharge summaries are a key component of a safe transition in care. The purpose of this study was to determine the effects of standardised feedback and a 'discharge time-out' (DTO) on the quality of discharge summaries.

Methods: During 2006-2007, the authors trained hospitalists to provide two interventions at their discretion: (1) feedback on one discharge summary to each intern using a standardised form and (2) a DTO, modelled after the surgical time-out, in which key questions about the patient's hospital course and discharge plan are answered verbally by the intern during rounds on the day of discharge.

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