15 Improving equitable enrollment rates in pediatric remote patient monitoring programs. (30th November 2022)
- Record Type:
- Journal Article
- Title:
- 15 Improving equitable enrollment rates in pediatric remote patient monitoring programs. (30th November 2022)
- Main Title:
- 15 Improving equitable enrollment rates in pediatric remote patient monitoring programs
- Authors:
- Sump, Courtney
Denker, Kylee
Chapman, DaVona
White, Christine
Riddle, Sarah - Abstract:
- Abstract : Background: Remote patient monitoring (RPM) is a form of telemedicine that transmits patient-generated health data to the healthcare team using technology. RPM may detect health problems sooner, breakdown communication barriers, and permit more frequent changes to care plans. Our institution manages ~300 patients/month in 14 RPM programs. Lack of specific inclusion criteria and lack of enrollment analysis allows for disparities in who is offered RPM. Objectives: To Increase percent of eligible patients enrolled in RPM from 83% to 95% by June 2022. Methods: Our interdisciplinary team, including a nurse, physician, quality specialist, data analyst, and family members, aimed to improve RPM enrollment. Using the model for improvement, a high-level process map was developed, as well as a key driver diagram ( figure 1 ). Key drivers included process ownership, clear RPM inclusion criteria, family buy-in, and transparency of enrollment data. Interventions included creating program specific process maps, developing inclusion criteria for new programs, standardizing family communication, and monthly feedback to teams on enrollment successes/failures. Enrollment of eligible patients was tracked on an annotated run chart to assess the effect of our interventions over time. Secondary measures included family satisfaction. Results: Through our interventions, we increased the median percentage of eligible patients enrolled in RPM from 83% to 91% ( figure 2 ). The most commonAbstract : Background: Remote patient monitoring (RPM) is a form of telemedicine that transmits patient-generated health data to the healthcare team using technology. RPM may detect health problems sooner, breakdown communication barriers, and permit more frequent changes to care plans. Our institution manages ~300 patients/month in 14 RPM programs. Lack of specific inclusion criteria and lack of enrollment analysis allows for disparities in who is offered RPM. Objectives: To Increase percent of eligible patients enrolled in RPM from 83% to 95% by June 2022. Methods: Our interdisciplinary team, including a nurse, physician, quality specialist, data analyst, and family members, aimed to improve RPM enrollment. Using the model for improvement, a high-level process map was developed, as well as a key driver diagram ( figure 1 ). Key drivers included process ownership, clear RPM inclusion criteria, family buy-in, and transparency of enrollment data. Interventions included creating program specific process maps, developing inclusion criteria for new programs, standardizing family communication, and monthly feedback to teams on enrollment successes/failures. Enrollment of eligible patients was tracked on an annotated run chart to assess the effect of our interventions over time. Secondary measures included family satisfaction. Results: Through our interventions, we increased the median percentage of eligible patients enrolled in RPM from 83% to 91% ( figure 2 ). The most common failure of enrollment was due to caregivers with limited English proficiency ( figure 3 ). Family satisfaction was high with 98% caregivers agreeing they would recommend RPM to others. Conclusions: Using QI methods allowed us to increase the percent of eligible patients we enroll in RPM programs at our institution. Next steps include 1) creation of a workflow that allows enrollment of patients with limited English proficiency, and 2) improving adherence with a family-centered focus to meet the needs of our patients. … (more)
- Is Part Of:
- BMJ open quality. Volume 11:Supplement 3(2022)
- Journal:
- BMJ open quality
- Issue:
- Volume 11:Supplement 3(2022)
- Issue Display:
- Volume 11, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 11
- Issue:
- 3
- Issue Sort Value:
- 2022-0011-0003-0000
- Page Start:
- A23
- Page End:
- A24
- Publication Date:
- 2022-11-30
- Subjects:
- Medical care -- Quality control -- Periodicals
362.106805 - Journal URLs:
- http://www.bmj.com/archive ↗
http://bmjopenquality.bmj.com/ ↗ - DOI:
- 10.1136/bmjoq-2022-IHI.15 ↗
- Languages:
- English
- ISSNs:
- 2399-6641
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25025.xml