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  1. Article ; Online: Text-message nudges encourage COVID vaccination.

    Patel, Mitesh S

    Nature

    2021  Volume 597, Issue 7876, Page(s) 336–337

    MeSH term(s) COVID-19 ; Humans ; SARS-CoV-2 ; Vaccination
    Language English
    Publishing date 2021-08-02
    Publishing country England
    Document type News ; Comment
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-021-02043-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 26: Show issues Location:
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  2. Article ; Online: CORR Insights®: Small Social Incentives Did Not Improve the Survey Response Rate of Patients Who Underwent Orthopaedic Surgery: A Randomized Trial.

    Patel, Mitesh S

    Clinical orthopaedics and related research

    2019  Volume 477, Issue 7, Page(s) 1657–1658

    MeSH term(s) Humans ; Motivation ; Orthopedic Procedures ; Orthopedics ; Surveys and Questionnaires
    Language English
    Publishing date 2019-05-28
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 80301-7
    ISSN 1528-1132 ; 0009-921X
    ISSN (online) 1528-1132
    ISSN 0009-921X
    DOI 10.1097/CORR.0000000000000811
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.188: Show issues Location:
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  3. Article ; Online: Nudges for influenza vaccination.

    Patel, Mitesh S

    Nature human behaviour

    2018  Volume 2, Issue 10, Page(s) 720–721

    MeSH term(s) Behavioral Sciences ; Health Behavior ; Humans ; Influenza, Human ; Medicare ; United States ; Vaccination
    Language English
    Publishing date 2018-09-17
    Publishing country England
    Document type Journal Article ; Comment
    ISSN 2397-3374
    ISSN (online) 2397-3374
    DOI 10.1038/s41562-018-0445-x
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  4. Article ; Online: Statin Prescribing and Dosing-Failure Has Become an Option-Reply.

    Adusumalli, Srinath / Patel, Mitesh S

    JAMA cardiology

    2021  Volume 6, Issue 7, Page(s) 855

    MeSH term(s) Drug Prescriptions ; Humans ; Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use ; Primary Prevention
    Chemical Substances Hydroxymethylglutaryl-CoA Reductase Inhibitors
    Language English
    Publishing date 2021-04-26
    Publishing country United States
    Document type Letter ; Comment
    ISSN 2380-6591
    ISSN (online) 2380-6591
    DOI 10.1001/jamacardio.2021.0838
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  5. Article ; Online: Exploring Wearables to Focus on the "Sweet Spot" of Physical Activity and Sleep After Hospitalization: Secondary Analysis.

    Greysen, S Ryan / Waddell, Kimberly J / Patel, Mitesh S

    JMIR mHealth and uHealth

    2022  Volume 10, Issue 4, Page(s) e30089

    Abstract: Background: Inadequate sleep and physical activity are common during and after hospitalization, but their impact on patient-reported functional outcomes after discharge is poorly understood. Wearable devices that measure sleep and activity can provide ... ...

    Abstract Background: Inadequate sleep and physical activity are common during and after hospitalization, but their impact on patient-reported functional outcomes after discharge is poorly understood. Wearable devices that measure sleep and activity can provide patient-generated data to explore ideal levels of sleep and activity to promote recovery after hospital discharge.
    Objective: This study aimed to examine the relationship between daily sleep and physical activity with 6 patient-reported functional outcomes (symptom burden, sleep quality, physical health, life space mobility, activities of daily living, and instrumental activities of daily living) at 13 weeks after hospital discharge.
    Methods: This secondary analysis sought to examine the relationship between daily sleep, physical activity, and patient-reported outcomes at 13 weeks after hospital discharge. We utilized wearable sleep and activity trackers (Withings Activité wristwatch) to collect data on sleep and activity. We performed descriptive analysis of device-recorded sleep (minutes/night) with patient-reported sleep and device-recorded activity (steps/day) for the entire sample with full data to explore trends. Based on these trends, we performed additional analyses for a subgroup of patients who slept 7-9 hours/night on average. Differences in patient-reported functional outcomes at 13 weeks following hospital discharge were examined using a multivariate linear regression model for this subgroup.
    Results: For the full sample of 120 participants, we observed a "T-shaped" distribution between device-reported physical activity (steps/day) and sleep (patient-reported quality or device-recorded minutes/night) with lowest physical activity among those who slept <7 or >9 hours/night. We also performed a subgroup analysis (n=60) of participants that averaged the recommended 7-9 hours of sleep/night over the 13-week study period. Our key finding was that participants who had both adequate sleep (7-9 hours/night) and activity (>5000 steps/day) had better functional outcomes at 13 weeks after hospital discharge. Participants with adequate sleep but less activity (<5000 steps/day) had significantly worse symptom burden (z-score 0.93, 95% CI 0.3 to 1.5; P=.02), community mobility (z-score -0.77, 95% CI -1.3 to -0.15; P=.02), and perceived physical health (z-score -0.73, 95% CI -1.3 to -0.13; P=.003), compared with those who were more physically active (≥5000 steps/day).
    Conclusions: Participants within the "sweet spot" that balances recommended sleep (7-9 hours/night) and physical activity (>5000 steps/day) reported better functional outcomes after 13 weeks compared with participants outside the "sweet spot." Wearable sleep and activity trackers may provide opportunities to hone postdischarge monitoring and target a "sweet spot" of recommended levels for both sleep and activity needed for optimal recovery.
    Trial registration: ClinicalTrials.gov NCT03321279; https://clinicaltrials.gov/ct2/show/NCT03321279.
    MeSH term(s) Activities of Daily Living ; Aftercare ; Exercise ; Fitness Trackers ; Hospitalization ; Humans ; Patient Discharge ; Sleep
    Language English
    Publishing date 2022-04-27
    Publishing country Canada
    Document type Clinical Study ; Journal Article
    ZDB-ID 2719220-9
    ISSN 2291-5222 ; 2291-5222
    ISSN (online) 2291-5222
    ISSN 2291-5222
    DOI 10.2196/30089
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  6. Article ; Online: Combining Machine Learning Predictive Algorithms With Behavioral Nudges to Increase Rates of Serious Illness Conversations in Patients With Cancer-Reply.

    Manz, Christopher R / Parikh, Ravi B / Patel, Mitesh S

    JAMA oncology

    2022  Volume 7, Issue 5, Page(s) 782

    MeSH term(s) Algorithms ; Communication ; Humans ; Machine Learning ; Neoplasms/epidemiology
    Language English
    Publishing date 2022-03-23
    Publishing country United States
    Document type Letter ; Comment
    ISSN 2374-2445
    ISSN (online) 2374-2445
    DOI 10.1001/jamaoncol.2020.8499
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  7. Article ; Online: Designing Nudges for Success in Health Care.

    Harrison, Joseph D / Patel, Mitesh S

    AMA journal of ethics

    2020  Volume 22, Issue 9, Page(s) E796–801

    Abstract: Nudges are subtle changes to the design of the environment or the framing of information that can influence our behaviors. There is significant potential to use nudges in health care to improve patient outcomes and transform health care delivery. However, ...

    Abstract Nudges are subtle changes to the design of the environment or the framing of information that can influence our behaviors. There is significant potential to use nudges in health care to improve patient outcomes and transform health care delivery. However, these interventions must be tested and implemented using a systematic approach. In this article, we describe several ways to design nudges for success by focusing on optimizing and fitting them into the clinical workflow, engaging the right stakeholders, and rapid experimentation.
    MeSH term(s) Delivery of Health Care ; Humans
    Language English
    Publishing date 2020-09-01
    Publishing country United States
    Document type Journal Article
    ISSN 2376-6980
    ISSN (online) 2376-6980
    DOI 10.1001/amajethics.2020.796
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  8. Article ; Online: Predictors of Influenza Vaccination.

    Changolkar, Sujatha / Patel, Mitesh S

    Journal of general internal medicine

    2020  Volume 35, Issue 11, Page(s) 3382

    MeSH term(s) Humans ; Influenza, Human/epidemiology ; Influenza, Human/prevention & control ; Patient Acceptance of Health Care ; Physicians ; Primary Health Care ; Vaccination
    Language English
    Publishing date 2020-06-08
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 639008-0
    ISSN 1525-1497 ; 0884-8734
    ISSN (online) 1525-1497
    ISSN 0884-8734
    DOI 10.1007/s11606-020-05900-4
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2205: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
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  9. Article ; Online: Time to address disparities in care by appointment time.

    Oakes, Allison H / Patel, Mitesh S

    Healthcare (Amsterdam, Netherlands)

    2020  Volume 9, Issue 1, Page(s) 100507

    Abstract: Quality of care systematically decreases over the course of the day. Ensuring that patients seen later in the day receive the same care as patients seen first thing in the morning has broad clinical and economic implications for our health care system. ... ...

    Abstract Quality of care systematically decreases over the course of the day. Ensuring that patients seen later in the day receive the same care as patients seen first thing in the morning has broad clinical and economic implications for our health care system. In this article, we outline feasible near-term solutions to direct clinicians and patients toward consistently better primary care decisions, throughout the day. These insights could be adapted to address similar challenges in other health care settings.
    MeSH term(s) Delivery of Health Care ; Humans ; Primary Health Care
    Language English
    Publishing date 2020-12-15
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2724773-9
    ISSN 2213-0772 ; 2213-0764 ; 2213-0772
    ISSN (online) 2213-0772 ; 2213-0764
    ISSN 2213-0772
    DOI 10.1016/j.hjdsi.2020.100507
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  10. Article ; Online: Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity.

    Fendrich, Sarah J / Balachandran, Mohan / Patel, Mitesh S

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 21501

    Abstract: Smartphones and wearable devices can be used to remotely monitor health behaviors, but little is known about how individual characteristics influence sustained use of these devices. Leveraging data on baseline activity levels and demographic, behavioral, ...

    Abstract Smartphones and wearable devices can be used to remotely monitor health behaviors, but little is known about how individual characteristics influence sustained use of these devices. Leveraging data on baseline activity levels and demographic, behavioral, and psychosocial traits, we used latent class analysis to identify behavioral phenotypes among participants randomized to track physical activity using a smartphone or wearable device for 6 months following hospital discharge. Four phenotypes were identified: (1) more agreeable and conscientious; (2) more active, social, and motivated; (3) more risk-taking and less supported; and (4) less active, social, and risk-taking. We found that duration and consistency of device use differed by phenotype for wearables, but not smartphones. Additionally, "at-risk" phenotypes 3 and 4 were more likely to discontinue use of a wearable device than a smartphone, while activity monitoring in phenotypes 1 and 2 did not differ by device type. These findings could help to better target remote-monitoring interventions for hospitalized patients.
    MeSH term(s) Adult ; Exercise ; Female ; Health Behavior ; Humans ; Male ; Middle Aged ; Monitoring, Physiologic/methods ; Motivation ; Smartphone/statistics & numerical data ; Wearable Electronic Devices/statistics & numerical data
    Language English
    Publishing date 2021-11-02
    Publishing country England
    Document type Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-01021-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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