Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 6 of 6

Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment

A Multivariable Model Of Parent Satisfaction, Pain, And Opioid Administration In A Pediatric Emergency Department, Candice D. Donaldson, Thomas W. Heyming, Louis Ehwerhemuepha, Brooke N. Jenkins, Michelle A. Fortier, William Feaster, Zeev N. Kain Jan 2021

A Multivariable Model Of Parent Satisfaction, Pain, And Opioid Administration In A Pediatric Emergency Department, Candice D. Donaldson, Thomas W. Heyming, Louis Ehwerhemuepha, Brooke N. Jenkins, Michelle A. Fortier, William Feaster, Zeev N. Kain

Psychology Faculty Articles and Research

Introduction: Children and adolescents are not impervious to the unprecedented epidemic of opioid misuse in the United States. In 2016 more than 88,000 adolescents between the ages of 12–17 reported misusing opioid medication, and evidence suggests that there has been a rise in opioid-related mortality for pediatric patients. A major source of prescribed opioids for the treatment of pain is the emergency department (ED). The current study sought to assess the complex relationship between opioid administration, pain severity, and parent satisfaction with children’s care in a pediatric ED.

Methods: We examined data from a tertiary pediatric care facility. A health …


Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae Jul 2019

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …


Parameterizing And Validating Existing Algorithms For Identifying Out-Of-Bed Time Using Hip-Worn Accelerometer Data From Older Women, John Belletierre, Yiliang Zhang, Vincent Berardi, Kelsie M. Full, Jacqueline Kerr, Michael J. Lamonte, Kelly R. Evenson, Melbourne Hovell, Andrea Z. Lacroix, Chongzhi Di Apr 2019

Parameterizing And Validating Existing Algorithms For Identifying Out-Of-Bed Time Using Hip-Worn Accelerometer Data From Older Women, John Belletierre, Yiliang Zhang, Vincent Berardi, Kelsie M. Full, Jacqueline Kerr, Michael J. Lamonte, Kelly R. Evenson, Melbourne Hovell, Andrea Z. Lacroix, Chongzhi Di

Psychology Faculty Articles and Research

Objective: To parameterize and validate two existing algorithms for identifying out-of-bed time using 24-hour hip-worn accelerometer data from older women. Approach: Overall, 628 women (80±6 years old) wore ActiGraph GT3X+ accelerometers 24 hours/day for up to 7 days and concurrently completed sleep-logs. Trained staff used a validated visual analysis protocol to measure in-bed periods on accelerometer tracings (criterion). The Tracy and McVeigh algorithms were adapted for optimal use in older adults. A training set of 314 women was used to choose two key thresholds by maximizing the sum of sensitivity and specificity for each algorithm and data (vertical axis, VA, …


Changing Healthcare Provider And Parent Behaviors In The Pediatric Post‐Anesthesia‐Care‐Unit To Reduce Child Pain: Nurse And Parent Training In Postoperative Stress (Np‐Tips), Brooke N. Jenkins, Michelle Fortier, Robert S. Stevenson, Mai Makhlouf, Paulina Lim, Remy Converse, Zeev N. Kain Apr 2019

Changing Healthcare Provider And Parent Behaviors In The Pediatric Post‐Anesthesia‐Care‐Unit To Reduce Child Pain: Nurse And Parent Training In Postoperative Stress (Np‐Tips), Brooke N. Jenkins, Michelle Fortier, Robert S. Stevenson, Mai Makhlouf, Paulina Lim, Remy Converse, Zeev N. Kain

Psychology Faculty Articles and Research

Background

Children who undergo surgery experience significant pain in the post anesthesia care unit. Nurse and parent behaviors in the post anesthesia care unit directly impact child postoperative pain. Therefore, we have developed and evaluated (Phase 1) and then tested (Phase 2) the feasibility of a new intervention (Nurse and Parent Training in Postoperative Stress) to alter parent and nurse behaviors in a way consistent with reducing child postoperative pain.

Methods

In Phase 1, a multidisciplinary team of experts (physicians, nurses, and psychologists) developed an empirically‐based intervention which was then evaluated by experienced nurses (N = 8) and parents …


Postoperative Pain Management In Children Of Hispanic Origin: A Descriptive Cohort Study, Rebecca Brown, Michelle A. Fortier, Sheeva Zolghadr, Padma Gulur, Brooke N. Jenkins, Zeev N. Kain Feb 2016

Postoperative Pain Management In Children Of Hispanic Origin: A Descriptive Cohort Study, Rebecca Brown, Michelle A. Fortier, Sheeva Zolghadr, Padma Gulur, Brooke N. Jenkins, Zeev N. Kain

Psychology Faculty Articles and Research

BACKGROUND:

It has been established that pain is frequently undertreated in children following outpatient surgery. Very few studies, however, have investigated this phenomenon in ethnically diverse populations.

METHODS:

This study included 105 families of children aged 2 to 15 years of Hispanic origin and low income undergoing outpatient tonsillectomy and adenoidectomy surgery. Participating parents completed baseline and demographic packets. Recorded postoperative pain ratings and administration of analgesics at home for 1 week were collected during home visits.

RESULTS:

Despite the high (70%; 99% confidence interval [CI], 57%–82%) incidence of significant pain in the first 24 hours home, 32% (95% CI, …


Development Of Fetal Movement Between 26 And 36 Weeks’ Gestation In Response To Vibroacoustic Stimulation, Marybeth Grant-Beuttler, Laura M. Glynn, Amy L. Salisbury, Elyssia Poggi Davis, Carol Holliday, Curt A. Sandman Jan 2011

Development Of Fetal Movement Between 26 And 36 Weeks’ Gestation In Response To Vibroacoustic Stimulation, Marybeth Grant-Beuttler, Laura M. Glynn, Amy L. Salisbury, Elyssia Poggi Davis, Carol Holliday, Curt A. Sandman

Psychology Faculty Articles and Research

BACKGROUND: Ultrasound observation of fetal movement has documented general trends in motor development and fetal age when motor response to stimulation is observed. Evaluation of fetal movement quality, in addition to specific motor activity, may improve documentation of motor development and highlight specific motor responses to stimulation.

AIM: The aim of this investigation was to assess fetal movement at 26 and 36-weeks gestation during three conditions (baseline, immediate response to vibro-acoustic stimulation (VAS), and post-response).

DESIGN: A prospective, longitudinal design was utilized.

SUBJECTS: Twelve normally developing fetuses, eight females and four males, were examined with continuous ultrasound imaging.

OUTCOME MEASURES: …