scholarly journals Practice-Level Variation in Telemedicine Use in a Pediatric Primary Care Network During the COVID-19 Pandemic: Retrospective Analysis and Survey Study

10.2196/24345 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e24345
Author(s):  
Kelsey Schweiberger ◽  
Alejandro Hoberman ◽  
Jennifer Iagnemma ◽  
Pamela Schoemer ◽  
Joseph Squire ◽  
...  

Background Telehealth, the delivery of health care through telecommunication technology, has potential to address multiple health system concerns. Despite this potential, only 15% of pediatric primary care clinicians reported using telemedicine as of 2016, with the majority identifying inadequate payment for these services as the largest barrier to their adoption. The COVID-19 pandemic led to rapid changes in payment and regulations surrounding telehealth, enabling its integration into primary care pediatrics. Objective Due to limited use of telemedicine in primary care pediatrics prior to the COVID-19 pandemic, much is unknown about the role of telemedicine in pediatric primary care. To address this gap in knowledge, we examined the association between practice-level telemedicine use within a large pediatric primary care network and practice characteristics, telemedicine visit diagnoses, in-person visit volumes, child-level variations in telemedicine use, and clinician attitudes toward telemedicine. Methods We analyzed electronic health record data from 45 primary care practices and administered a clinician survey to practice clinicians. Practices were stratified into tertiles based on rates of telemedicine use (low, intermediate, high) per 1000 patients per week during a two-week period (April 19 to May 2, 2020). By practice tertile, we compared (1) practice characteristics, (2) telemedicine visit diagnoses, (3) rates of in-person visits to the office, urgent care, and the emergency department, (4) child-level variation in telemedicine use, and (5) clinician attitudes toward telemedicine across these practices. Results Across pediatric primary care practices, telemedicine visit rates ranged from 5 to 23 telemedicine visits per 1000 patients per week. Across all tertiles, the most frequent telemedicine visit diagnoses were mental health (28%-36% of visits) and dermatologic (15%-28%). Compared to low telemedicine use practices, high telemedicine use practices had fewer in-person office visits (10 vs 16 visits per 1000 patients per week, P=.005) but more total encounters overall (in-office and telemedicine: 28 vs 22 visits per 1000 patients per week, P=.006). Telemedicine use varied with child age, race and ethnicity, and recent preventive care; however, no significant interactions existed between these characteristics and practice-level telemedicine use. Finally, clinician attitudes regarding the usability and impact of telemedicine did not vary significantly across tertiles. Conclusions Across a network of pediatric practices, we identified significant practice-level variation in telemedicine use, with increased use associated with more varied telemedicine diagnoses, fewer in-person office visits, and increased overall primary care encounter volume. Thus, in the context of the pandemic, when underutilization of primary care was prevalent, higher practice-level telemedicine use supported pediatric primary care encounter volume closer to usual rates. Child-level telemedicine use differed by child age, race and ethnicity, and recent preventive care, building upon prior concerns about differences in access to telemedicine. However, increased practice-level use of telemedicine services was not associated with reduced or increased differences in use, suggesting that further work is needed to promote equitable access to primary care telemedicine.

2020 ◽  
Author(s):  
Kelsey Schweiberger ◽  
Alejandro Hoberman ◽  
Jennifer Iagnemma ◽  
Pamela Schoemer ◽  
Joseph Squire ◽  
...  

BACKGROUND Telehealth, the delivery of health care through telecommunication technology, has potential to address multiple health system concerns. Despite this potential, only 15% of pediatric primary care clinicians reported using telemedicine as of 2016, with the majority identifying inadequate payment for these services as the largest barrier to their adoption. The COVID-19 pandemic led to rapid changes in payment and regulations surrounding telehealth, enabling its integration into primary care pediatrics. OBJECTIVE Due to limited use of telemedicine in primary care pediatrics prior to the COVID-19 pandemic, much is unknown about the role of telemedicine in pediatric primary care. To address this gap in knowledge, we examined the association between practice-level telemedicine use within a large pediatric primary care network and practice characteristics, telemedicine visit diagnoses, in-person visit volumes, child-level variations in telemedicine use, and clinician attitudes toward telemedicine. METHODS We analyzed electronic health record data from 45 primary care practices and administered a clinician survey to practice clinicians. Practices were stratified into tertiles based on rates of telemedicine use (low, intermediate, high) per 1000 patients per week during a two-week period (April 19 to May 2, 2020). By practice tertile, we compared (1) practice characteristics, (2) telemedicine visit diagnoses, (3) rates of in-person visits to the office, urgent care, and the emergency department, (4) child-level variation in telemedicine use, and (5) clinician attitudes toward telemedicine across these practices. RESULTS Across pediatric primary care practices, telemedicine visit rates ranged from 5 to 23 telemedicine visits per 1000 patients per week. Across all tertiles, the most frequent telemedicine visit diagnoses were mental health (28%-36% of visits) and dermatologic (15%-28%). Compared to low telemedicine use practices, high telemedicine use practices had fewer in-person office visits (10 vs 16 visits per 1000 patients per week, <i>P</i>=.005) but more total encounters overall (in-office and telemedicine: 28 vs 22 visits per 1000 patients per week, <i>P</i>=.006). Telemedicine use varied with child age, race and ethnicity, and recent preventive care; however, no significant interactions existed between these characteristics and practice-level telemedicine use. Finally, clinician attitudes regarding the usability and impact of telemedicine did not vary significantly across tertiles. CONCLUSIONS Across a network of pediatric practices, we identified significant practice-level variation in telemedicine use, with increased use associated with more varied telemedicine diagnoses, fewer in-person office visits, and increased overall primary care encounter volume. Thus, in the context of the pandemic, when underutilization of primary care was prevalent, higher practice-level telemedicine use supported pediatric primary care encounter volume closer to usual rates. Child-level telemedicine use differed by child age, race and ethnicity, and recent preventive care, building upon prior concerns about differences in access to telemedicine. However, increased practice-level use of telemedicine services was not associated with reduced or increased differences in use, suggesting that further work is needed to promote equitable access to primary care telemedicine.


PEDIATRICS ◽  
2010 ◽  
Vol 125 (6) ◽  
pp. e1410-e1418 ◽  
Author(s):  
L. J. Meltzer ◽  
C. Johnson ◽  
J. Crosette ◽  
M. Ramos ◽  
J. A. Mindell

BJGP Open ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. bjgpopen20X101052 ◽  
Author(s):  
Philip Emeka Anyanwu ◽  
Koen Pouwels ◽  
Anne Walker ◽  
Michael Moore ◽  
Azeem Majeed ◽  
...  

BackgroundIn 2017, approximately 73% of antibiotics in England were prescribed from primary care practices. It has been estimated that 9%–23% of antibiotic prescriptions between 2013 and 2015 were inappropriate. Reducing antibiotic prescribing in primary care was included as one of the national priorities in a financial incentive scheme in 2015–2016.AimTo investigate whether the effects of the Quality Premium (QP), which provided performance-related financial incentives to clinical commissioning groups (CCGs), could be explained by practice characteristics that contribute to variations in antibiotic prescribing.Design & settingLongitudinal monthly prescribing data were analysed for 6251 primary care practices in England from April 2014 to March 2016.MethodLinear generalised estimating equations models were fitted, examining the effect of the 2015–2016 QP on the number of antibiotic items per specific therapeutic group age–sex related prescribing unit (STAR-PU) prescribed, adjusting for seasonality and months since implementation. Consistency of effects after further adjustment for variations in practice characteristics were also examined, including practice workforce, comorbidities prevalence, prescribing rates of non-antibiotic drugs, and deprivation.ResultsAntibiotics prescribed in primary care practices in England reduced by -0.172 items per STAR-PU (95% confidence interval [CI] = -0.180 to -0.171) after 2015–2016 QP implementation, with slight increases in the months following April 2015 (+0.014 items per STAR-PU; 95% CI = +0.013 to +0.014). Adjusting the model for practice characteristics, the immediate and month-on-month effects following implementation remained consistent, with slight attenuation in immediate reduction from -0.172 to -0.166 items per STAR-PU. In subgroup analysis, the QP effect was significantly greater among the top 20% prescribing practices (interaction p<0.001). Practices with low workforce and those with higher diabetes prevalence had greater reductions in prescribing following 2015–2016 QP compared with other practices (interaction p<0.001).ConclusionIn high-prescribing practices, those with low workforce and high diabetes prevalence had more reduction following the QP compared with other practices, highlighting the need for targeted support of these practices and appropriate resourcing of primary care.


2020 ◽  
Vol 20 (4) ◽  
pp. 532-539 ◽  
Author(s):  
Olga Kovalerchik ◽  
Emily Powers ◽  
Margaret L. Holland ◽  
Mona Sharifi ◽  
Melissa L. Langhan

2017 ◽  
Vol 9 (1) ◽  
pp. 78 ◽  
Author(s):  
Leah Palapar ◽  
Laura Wilkinson-Meyers ◽  
Thomas Lumley ◽  
Ngaire Kerse

ABSTRACT INTRODUCTION Information on the processes used by primary care practices to help identify older patients in need of assistance are limited in New Zealand. AIM To describe the processes used to promote early problem detection in older patients in primary care and the practice characteristics associated with the use of these proactive processes. METHODS Sixty practices were randomly selected from all primary care practices in three regions (52% response rate) and surveyed in 2010 to identify characteristics of practices performing the following activities: using assessment tools; auditing the practice; conducting specific clinics; providing home visits; and providing active patient follow-up. Practice level variables were examined. RESULTS Only 4 (7%) of 57 practices did not perform any of the activities. We found the following associations in the many comparisons done: no activities and greater level of deprivation of practice address (p = 0.048); more activities in main urban centres (p = 0.034); more main urban centre practices doing home visits (p = 0.001); less Canterbury practices conducting specific clinics for frail older patients (p = 0.010); and more Capital and Coast practices following-up patients who do not renew their prescriptions (p = 0.019). DISCUSSION There are proactive processes in place in most New Zealand practices interested in a trial about care of older people. Future research should determine whether different types of practices or the activities that they undertake make a difference to older primary care patients’ outcomes.


2020 ◽  
Author(s):  
Chiamaka Chiedozie ◽  
Mark Murphy ◽  
Tom Fahey ◽  
Frank Moriarty

Aim: To apply the DU90% indicator (the number of unique drugs which make up 90% of a doctor's prescribing) to GP practices prescribing in England to examine time trends, practice-level variation, and relationships with practice characteristics Method: This is an observational cohort study of all general practices in England. It utilises publicly available prescribing data from the National Health Service (NHS) Digital platform for 2013-2017. The DU90% was calculated on an annual basis for each practice based on medication BNF codes. Descriptive statistics were generated per year on time trends and practice-level variation in the DU90%. Multi-level linear regression was used to examine the practice characteristics (relating to staff, patients, and deprivation of the practice area). Results: A total of 7,623 GP practices were included. The mean DU90% ranged from 130.1 to 133.4 across study years, and variation between practices was low (with a 1.4 fold difference between the lowest and highest 5% of practices). A range of medications were included in the DU90% of virtually all practices, including atorvastatin, levothyroxine, omeprazole, ramipril, amlodipine, simvastatin and aspirin. A higher volume of prescribing was associated with a lower DU90%, while having more patients, higher proportions of patients who are female or aged 65+, higher number of GPs working in the practice, and being in a more deprived area were associated with a higher DU90%. Conclusion: GP practices typically use 130 different medications in the bulk of their prescribing. Increasing use of personal formularies may enhance prescribing quality and reduce costs.


CHEST Journal ◽  
2011 ◽  
Vol 140 (4) ◽  
pp. 910A
Author(s):  
Shahid Sheikh ◽  
Muffy Chrysler ◽  
Karen McCoy

2010 ◽  
Vol 35 (4) ◽  
pp. 365-371 ◽  
Author(s):  
Kevin Brazil ◽  
Dorothy B. Wakefield ◽  
Michelle M. Cloutier ◽  
Howard Tennen ◽  
Charles B. Hall

PEDIATRICS ◽  
2016 ◽  
Vol 137 (3) ◽  
pp. e20153673 ◽  
Author(s):  
Andrew F. Beck ◽  
Megan M. Tschudy ◽  
Tumaini R. Coker ◽  
Kamila B. Mistry ◽  
Joanne E. Cox ◽  
...  

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