Literature DB >> 28622079

Use of an Automated Mobile Phone Messaging Robot in Postoperative Patient Monitoring.

Chris A Anthony1, Ericka A Lawler1, Christina M Ward2, Ines C Lin3, Apurva S Shah4.   

Abstract

BACKGROUND: Mobile phone messaging software robots allow clinicians and healthcare systems to communicate with patients without the need for human intervention. The purpose of this study was to (1) describe a method for communicating with patients postoperatively outside of the traditional healthcare setting by utilizing an automated software and mobile phone messaging platform and to (2) evaluate the first week of postoperative pain and opioid use after common ambulatory hand surgery procedures.
MATERIALS AND METHODS: The investigation was a prospective, multicenter investigation of patient-reported pain and opioid usage after ambulatory hand surgery. Inclusion criteria included any adult with a mobile phone capable of text messaging, who was undergoing a common ambulatory hand surgical procedure at one of three tertiary care institutions. Participants received daily, automated text messages inquiring about their pain level and how many tablets of prescription pain medication they had taken in the past 24 h. Initial 1-week response rate was assessed and compared between different patient demographics. Patient-reported pain and opioid use were also quantified for the first postoperative week. Statistical significance was set as p < 0.05.
RESULTS: Forty-seven (n = 47) patients were enrolled in this investigation. Total response rate of both pain and opioid medication questions through 7 days was 88.3%. Pain trended down on a daily basis for the first postoperative week, with the highest levels of pain being reported in the first 48 h after surgery. Patients reported an average use of 15.9 ± 14.8 tablets of prescription opioid pain medication.
CONCLUSIONS: We find that a mobile phone messaging software robot allows for effective data collection of postoperative pain and pain medication use. Patients undergoing common ambulatory hand procedures utilized an average of 16 tablets of opioid medication in the first postoperative week.

Entities:  

Keywords:  e-health; m-health; telehealth; telemedicine

Mesh:

Substances:

Year:  2017        PMID: 28622079     DOI: 10.1089/tmj.2017.0055

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  8 in total

1.  Post Ambulatory Discharge Follow-up Using Automated Text Messaging.

Authors:  David Leconte; Hélène Beloeil; Thierry Dreano; Claude Ecoffey
Journal:  J Med Syst       Date:  2019-06-06       Impact factor: 4.460

2.  Automated Mobile Phone Messaging Utilizing a Cognitive Behavioral Intervention: A Pilot Investigation.

Authors:  Edward O Rojas; Chris A Anthony; Jill Kain; Natalie Glass; Apurva S Shah; Tammy Smith; Benjamin J Miller
Journal:  Iowa Orthop J       Date:  2019

3.  Development of the KOOSglobal Platform to Measure Patient-Reported Outcomes After Anterior Cruciate Ligament Reconstruction.

Authors:  Cale A Jacobs; Michael R Peabody; Christian Lattermann; Jose F Vega; Laura J Huston; Kurt P Spindler; Annunziato Amendola; Jack T Andrish; Robert H Brophy; Warren R Dunn; David C Flanigan; Morgan H Jones; Christopher C Kaeding; Robert G Marx; Matthew J Matava; Eric C McCarty; Richard D Parker; Emily K Reinke; Michelle L Wolcott; Brian R Wolf; Rick W Wright; Armando F Vidal
Journal:  Am J Sports Med       Date:  2018-08-03       Impact factor: 6.202

4.  Diabetic Foot Surveillance Using Mobile Phones and Automated Software Messaging, a Randomized Observational Trial.

Authors:  Chris A Anthony; John E Femino; Aaron C Miller; Linnea A Polgreen; Edward O Rojas; Shelby L Francis; Alberto M Segre; Philip M Polgreen
Journal:  Iowa Orthop J       Date:  2020

Review 5.  The role of telemedicine in postoperative care.

Authors:  Aaron M Williams; Umar F Bhatti; Hasan B Alam; Vahagn C Nikolian
Journal:  Mhealth       Date:  2018-05-02

6.  Acceptance and Commitment Therapy Delivered via a Mobile Phone Messaging Robot to Decrease Postoperative Opioid Use in Patients With Orthopedic Trauma: Randomized Controlled Trial.

Authors:  Chris A Anthony; Edward Octavio Rojas; Valerie Keffala; Natalie Ann Glass; Apurva S Shah; Benjamin J Miller; Matthew Hogue; Michael C Willey; Matthew Karam; John Lawrence Marsh
Journal:  J Med Internet Res       Date:  2020-07-29       Impact factor: 5.428

7.  Detailing postoperative pain and opioid utilization after periacetabular osteotomy with automated mobile messaging.

Authors:  Christina Hajewski; Chris A Anthony; Edward O Rojas; Robert Westermann; Michael Willey
Journal:  J Hip Preserv Surg       Date:  2019-11-07

8.  Subacute Pain Trajectories following major musculoskeletal surgery in adolescents: A Pilot Study.

Authors:  Jennifer A Rabbitts; Cornelius B Groenewald; Chuan Zhou
Journal:  Can J Pain       Date:  2020-12-30
  8 in total

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