Telehealth: Increasing Access to High Quality Care by Expanding the Role of Technology in Correctional Medicine

Young, J D; Badowski, Melissa E

doi:10.3390/jcm6020020

Cited by 41 publications

(39 citation statements)

References 38 publications

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“…[7][8][9][10][11][12] Despite many studies reporting positive clinician and patient satisfaction with telepsychiatry, 8,9,11,13,14 implementation has not been rapid, easy, or widespread. [15][16][17][18] In 2009, only about 2% of psychiatrists had used telepsychiatry in the United States. 12 Although the numbers of Medicare telemedicine visits have been increasing, less than 1% of rural Medicare beneficiaries received a telemedicine visit as of 2016.…”

mentioning

confidence: 99%

Barriers to Use of Telepsychiatry: Clinicians as Gatekeepers

Cowan

McKean

Gentry

et al. 2019

Mayo Clinic Proceedings

322

327

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Telepsychiatry is effective and has generated hope and promise for improved access and enhanced quality of care with reasonable cost containment. Clinicians and organizations are informed about clinical, technological, and administrative telepsychiatric barriers via guidelines, but there are many practical patient and clinician factors that have slowed implementation and undermined sustainability. Literature describing barriers to use of telepsychiatry was reviewed.

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mentioning

confidence: 99%

Barriers to Use of Telepsychiatry: Clinicians as Gatekeepers

Cowan

McKean

Gentry

et al. 2019

Mayo Clinic Proceedings

322

327

View full text Add to dashboard Cite

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“…[1617] Another review by Young and Badowski in 2018 concluded that the use of telemedicine technologies could remove barriers and help in increasing access to high-quality multidisciplinary care. [18]…”

Section: Discussionmentioning

confidence: 99%

“…Literature proposes the following as barriers to health for prisoners: (a) tendency to escape during travel by prison inmates, (b) the cost of security (escorts for patient assisted travel), (c) need for vigilance, etc., These can be overcome or minimized using tele-medicine thus lessening the police workforce requirement during transport and saving the travel expense while bettering the ease of specialist accessibility and reducing the waiting time for consultation. [1819] These barriers were identified and agreed on by medical officers of central prison of Karnataka and acknowledge overcoming this by collaborative tele-neuropsychiatry services.…”

Section: Discussionmentioning

confidence: 99%

Collaborative Tele-Neuropsychiatry Consultation Services for Patients in Central Prisons

Agarwal

Manjunatha

Gowda

et al. 2019

Journal of Neurosciences in Rural Practice

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Background: Tele-medicine helps to provide clinical care comparable to in-person treatment in various clinical settings. It is a novel system of healthcare delivery in both low-resource settings and sites where adequate medical care continues to pose greatest challenge like in prison’s in India and worldwide. Aim: To study the sociodemographic and clinical profile of patients from Central Prisons, having received collaborative Tele-Neuropsychiatric Care. Methodology: Psychiatry, neurology, and neurosurgery specialists provided tele-neuropsychiatry consultation through Specialist–Doctor–Patient model as part of the state-run program for the two central prisons from July 1, 2014, to June 30, 2016. A retrospective file review was done of the tele-neuropsychiatry case records at Tele-Medicine Centre, Located at Tertiary Neuro Psychiatric centre of South India. Results: A total of 53 patients were provided tele-neuropsychiatric consultation over 2-year period. Of these, 48 (90.6%) were male and 34 (64.1%) were aged more than 30 years. In total, 20.7% of them had severe mental illness, i.e., schizophrenia and mood disorders, 20.7% with substance use disorder (alcohol and cannabis), 17% had anxiety disorders while 17% with seizure disorder. Nearly 81.1% of patients (inmates) were advised pharmacotherapy while 18.9% were suggested further evaluation of illness and inpatient care at the higher center. Conclusion: The collaborative care was successful in delivering psychiatry, neurology, and neurosurgery consultation with a Specialist–Doctor–Patient model to prison inmates.

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“…Someone might indicate the students' participation in the study as another limitation. As has been pointed out by Young and Badowski, 31 however, academic centers can also use telemedicine for teaching and training students showing them that collaboration in research is effective and might involve state-of-the-art technologies.…”

Section: Limitationsmentioning

confidence: 99%

Feasibility of Atrial Fibrillation Screening With Mobile Health Technologies at Pharmacies

Zaprutko

Baszko

et al. 2019

J Cardiovasc Pharmacol Ther

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Background: Atrial fibrillation (AF) is the most common cardiac arrhythmia. Thus, the aim of our study was to evaluate the smartphone-based electrocardiogram (ECG) recordings aimed at AF screening at Polish pharmacies. Methods: Prospective AF screening among patients aged ≥65 years was conducted at 10 pharmacies using Kardia Mobile with a dedicated application (Kardia app). Prior AF was a study exclusion criterion. CHA2DS2-VASc score (congestive heart failure, hypertension, age, diabetes mellitus, previous stroke/transient ischemic attack, female sex, and vascular disease) has been collected from every patient. A single-lead ECG has been acquired by the placement of fingers from each hand on the pads. Kardia app diagnosis has been evaluated by the cardiologist. Results: A total of 525 ECGs were performed. Kardia app diagnosis was provided in 490 cases. In 437 (89.18%) cases, it was “normal” rhythm, in 17 (3.47%) recordings “possible AF,” in 23 (4.69%) ECGs “unreadable,” and in 13 (2.65%) “unclassified”. After the cardiologist reevaluation, the new AF was identified in 7 (1.33%) patients. Sensitivity and specificity of Kardia app in detecting AF was 100% (95% confidence interval [CI]: 71.5%-100%) and 98.7% (95% CI: 97.3%-99.5%), respectively. The positive predictive value was 64.7% (95% CI: 38.3%-85.7%) and the negative predictive value was 100% (95% CI: 99.2%-100%). CHA2DS2-VASc score was 2.14 ± 0.69 for those with new AF and 3.33 ± 1.26 in the non-AF group. Conclusion: Kardia app is capable of fast screening and detecting AF with high sensitivity and specificity. The possible diagnosis of AF deserves additional cardiological evaluation. The results obtained in patients with low CHA2DS2-VASc score and “silent” AF confirm the importance of routine AF screening. Cardiovascular screening with the use of mobile health technology is feasible at pharmacies.

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Telehealth: Increasing Access to High Quality Care by Expanding the Role of Technology in Correctional Medicine

Cited by 41 publications

References 38 publications

Barriers to Use of Telepsychiatry: Clinicians as Gatekeepers

Barriers to Use of Telepsychiatry: Clinicians as Gatekeepers

Collaborative Tele-Neuropsychiatry Consultation Services for Patients in Central Prisons

Feasibility of Atrial Fibrillation Screening With Mobile Health Technologies at Pharmacies

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