Dataset Information

Outpatient antibiotic prescribing for common infections via telemedicine versus face-to-face visits: Systematic literature review and meta-analysis.

ABSTRACT:

Objective

To evaluate the frequency of antibiotic prescribing for common infections via telemedicine compared to face-to-face visits.

Design

Systematic literature review and meta-analysis.

Methods

We searched PubMed, CINAHL, Embase (Elsevier platform) and Cochrane CENTRAL to identify studies comparing frequency of antibiotic prescribing via telemedicine and face-to-face visits without restrictions by publish dates or language used. We conducted meta-analyses of 5 infections: sinusitis, pharyngitis, otitis media, upper respiratory infection (URI) and urinary tract infection (UTI). Random-effect models were used to obtain pooled odds ratios (ORs). Heterogeneity was evaluated with I² estimation and the Cochran Q statistic test.

Results

Among 3,106 studies screened, 23 studies (1 randomized control study, 22 observational studies) were included in the systematic literature review. Most of the studies (21 of 23) were conducted in the United States. Studies were substantially heterogenous, but stratified analyses revealed that providers prescribed antibiotics more frequently via telemedicine for otitis media (pooled odds ratio [OR], 1.26; 95% confidence interval [CI], 1.04-1.52; I² = 31%) and pharyngitis (pooled OR, 1.16; 95% CI, 1.01-1.33; I² = 0%). We detected no significant difference in the frequencies of antibiotic prescribing for sinusitis (pooled OR, 0.86; 95% CI, 0.70-1.06; I² = 91%), URI (pooled OR, 1.18; 95% CI, 0.59-2.39; I² = 100%), or UTI (pooled OR, 2.57; 95% CI, 0.88-7.46; I² = 91%).

Conclusions

Telemedicine visits for otitis media and pharyngitis were associated with higher rates of antibiotic prescribing. The interpretation of these findings requires caution due to substantial heterogeneity among available studies. Large-scale, well-designed studies with comprehensive assessment of antibiotic prescribing for common outpatient infections comparing telemedicine and face-to-face visits are needed to validate our findings.

SUBMITTER: Suzuki H

PROVIDER: S-EPMC9495625 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Outpatient antibiotic prescribing for common infections via telemedicine versus face-to-face visits: Systematic literature review and meta-analysis.

Suzuki Hiroyuki H Marra Alexandre R AR Hasegawa Shinya S Livorsi Daniel J DJ Goto Michihiko M Perencevich Eli N EN Ohl Michael E ME DeBerg Jennifer J Schweizer Marin L ML

Antimicrobial stewardship & healthcare epidemiology : ASHE 20210831 1

<h4>Objective</h4>To evaluate the frequency of antibiotic prescribing for common infections via telemedicine compared to face-to-face visits.<h4>Design</h4>Systematic literature review and meta-analysis.<h4>Methods</h4>We searched PubMed, CINAHL, Embase (Elsevier platform) and Cochrane CENTRAL to identify studies comparing frequency of antibiotic prescribing via telemedicine and face-to-face visits without restrictions by publish dates or language used. We conducted meta-analyses of 5 infections ...[more]

PMID: 36168456

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Project description:ImportanceAcute respiratory infections (ARIs) are the syndrome for which antibiotics are most commonly prescribed; viruses for which antibiotics are ineffective cause most ARIs.ObjectivesTo characterize antibiotic prescribing among outpatients with ARI during influenza season and to identify targets for reducing inappropriate antibiotic prescribing for common ARI diagnoses, including among outpatients with laboratory-confirmed influenza.Design, setting, and participantsCohort study enrolling outpatients aged 6 months or older with ARI evaluated at outpatient clinics associated with 5 US Influenza Vaccine Effectiveness Network sites during the 2013-2014 and 2014-2015 influenza seasons. All patients received influenza testing by real-time reverse transcriptase-polymerase chain reaction for research purposes only. Antibiotic prescriptions, medical history, and International Classification of Diseases, Ninth Revision diagnosis codes were collected from medical and pharmacy records, as were group A streptococcal (GAS) testing results in a patient subset.ExposureVisit for ARI, defined by a new cough of 7 days' duration or less.Main outcomes and measuresAntibiotic prescription within 7 days of enrollment. Appropriateness of antibiotic prescribing was based on diagnosis codes, clinical information, and influenza and GAS testing results.ResultsOf 14 987 patients with ARI (mean [SD] age, 32 [24] years; 8638 [58%] women; 11 892 [80%] white), 6136 (41%) were prescribed an antibiotic. Among these 6136 patients, 2522 (41%) had diagnoses for which antibiotics are not indicated; 2106 (84%) of these patients were diagnosed as having a viral upper respiratory tract infection or bronchitis (acute or not otherwise specified). Among the 3306 patients (22%) not diagnosed as having pneumonia and who had laboratory-confirmed influenza, 945 (29%) were prescribed an antibiotic, accounting for 17% of all antibiotic prescriptions among patients with nonpneumonia ARI. Among 1248 patients with pharyngitis, 1137 (91%) had GAS testing; 440 of the 1248 patients (35%) were prescribed antibiotics, among whom 168 (38%) had negative results on GAS testing. Of 1200 patients with sinusitis and no other indication for antibiotic treatment who received an antibiotic, 454 (38%) had symptoms for 3 days or less prior to the outpatient visit, suggesting acute viral sinusitis not requiring antibiotics.Conclusions and relevanceAntibiotic overuse remains widespread in the treatment of outpatient ARIs, including among patients with laboratory-confirmed influenza, although study sites may not be representative of other outpatient settings. Identified targets for improved outpatient antibiotic stewardship include eliminating antibiotic treatment of viral upper respiratory tract infections and bronchitis and improving adherence to prescribing guidelines for pharyngitis and sinusitis. Increased access to sensitive and timely virus diagnostic tests, particularly for influenza, may reduce unnecessary antibiotic use for these syndromes.

Project description:ImportanceIn the US, 50% of all pediatric outpatient antibiotics prescribed are unnecessary or inappropriate. Less is known about the appropriateness of pediatric outpatient antibiotic prescribing.ObjectiveTo identify the overall percentage of outpatient antibiotic prescriptions that are optimal according to guideline recommendations for first-line antibiotic choice and duration.Design, setting, and participantsThis cross-sectional study obtained data on any clinical encounter for a patient younger than 20 years with at least 1 outpatient oral antibiotic, intramuscular ceftriaxone, or penicillin prescription filled in the state of Tennessee from January 1 to December 31, 2022, from IQVIA's Longitudinal Prescription Claims and Medical Claims databases. Each clinical encounter was assigned a single diagnosis corresponding to the lowest applicable tier in a 3-tier antibiotic tier system. Antibiotics prescribed for tier 1 (nearly always required) or tier 2 (sometimes required) diagnoses were compared with published national guidelines. Antibiotics prescribed for tier 3 (rarely ever required) diagnoses were considered to be suboptimal for both choice and duration.Main outcomes and measuresPrimary outcome was the percentage of optimal antibiotic prescriptions consistent with guideline recommendations for first-line antibiotic choice and duration. Secondary outcomes were the associations of optimal prescribing by diagnosis, suboptimal antibiotic choice, and patient- and clinician-level factors (ie, age and Social Vulnerability Index) with optimal antibiotic choice, which were measured by odds ratios (ORs) and 95% CIs calculated using a multivariable logistic regression model.ResultsA total of 506 633 antibiotics were prescribed in 488 818 clinical encounters (for 247 843 females [50.7%]; mean [SD] age, 8.36 [5.5] years). Of these antibiotics, 21 055 (4.2%) were for tier 1 diagnoses, 288 044 (56.9%) for tier 2 diagnoses, and 197 660 (39.0%) for tier 3 diagnoses. Additionally, 194 906 antibiotics (38.5%) were optimal for antibiotic choice, 259 786 (51.3%) for duration, and 159 050 (31.4%) for both choice and duration. Acute otitis media (AOM) and pharyngitis were the most common indications, with 85 635 of 127 312 (67.3%) clinical encounters for AOM and 42 969 of 76 865 (55.9%) clinical encounters for pharyngitis being optimal for antibiotic choice. Only 257 of 4472 (5.7%) antibiotics prescribed for community-acquired pneumonia had a 5-day duration. Optimal antibiotic choice was more likely in patients who were younger (OR, 0.98; 95% CI, 0.98-0.98) and were less socially vulnerable (OR, 0.84; 95% CI, 0.82-0.86).Conclusions and relevanceThis cross-sectional study found that less than one-third of antibiotics prescribed to pediatric outpatients in Tennessee were optimal for choice and duration. Four stewardship interventions may be targeted: (1) reduce the number of prescriptions for tier 3 diagnoses, (2) increase optimal prescribing for AOM and pharyngitis, (3) provide clinician education on shorter antibiotic treatment courses for community-acquired pneumonia, and (4) promote optimal antibiotic prescribing in resource-limited settings.

Project description:ObjectiveLive interactive telemedicine is increasingly covered by state Medicaid programs, but whether telemedicine is improving equity in utilization of subspecialty care is not known. We examined patterns of telemedicine use for outpatient pediatric subspecialty care within the state Medicaid programs.MethodsWe identified children ≤17 years old in 2014 Medicaid Analysis eXtract data for 12 states. We identified telemedicine-using and telemedicine-nonusing medical and surgical subspecialists. Among children cared for by telemedicine-using subspecialists, we assessed child and subspecialist characteristics associated with any telemedicine visit using logistic regression with subspecialist-level random effects. Among children cared for by telemedicine-using and nonusing subspecialists, we compared visit rates across child characteristics by assessing negative binomial regression interaction terms.ResultsOf 12,237,770 pediatric Medicaid beneficiaries, 2,051,690 (16.8%) had ≥1 subspecialist visit. Of 42,695 subspecialists identified, 146 (0.3%) had ≥1 telemedicine claim. Among children receiving care from telemedicine-using subspecialists, likelihood of any telemedicine use was increased for rural children (odds ratio [OR] 10.4, 95% confidence interval [CI] 6.3-17.1 compared to large metropolitan referent group) and those >90 miles from the subspecialist (OR 13.4, 95% CI 10.2-17.7 compared to 0-30 mile referent group). Compared to children receiving care from telemedicine-nonusing subspecialists, matched children receiving care from telemedicine-using subspecialists had larger differences in visit rates by distance to care, county rurality, ZIP code median income, and child race/ethnicity (P < .001 for interaction terms).ConclusionsChildren in rural communities and at distance to subspecialists had increased likelihood of telemedicine use. Use overall was low, and results indicated that early telemedicine policies and implementation did not close disparities in subspecialty visit rates by child geographic and sociodemographic characteristics.

Project description:BACKGROUND:Patients with facial nerve paralysis (FNP) experience challenges in accessing health care that could potentially be overcome by telemedicine. However, the reliability of telemedicine has yet to be established in this field. OBJECTIVE:This study aimed to investigate the consistency between face-to-face and video assessments of patients with FNP by experienced clinicians. METHODS:A repeated-measures design was used. A total of 7 clinicians assessed the FNP of 28 patients in a face-to-face clinic using standardized grading systems (the House-Brackmann, Sydney, and Sunnybrook facial grading systems). After 3 months, the same grading systems were used to assess facial palsy in video recordings of the same patients. RESULTS:The House-Brackmann system in video assessment had excellent reliability and agreement (intraclass correlation coefficient [ICC]=0.780; principal component analysis [PCA]=87.5%), similar to face-to-face assessment (ICC=0.686; PCA=79.2%). Reliability of the Sydney system was good to excellent, with excellent agreement face-to-face (ICC=0.633 to 0.834; PCA=81.0%-95.2%). However, video assessment of the cervical branch and synkinesis had fair reliability and good agreement (ICC=0.437 to 0.597; PCA=71.4%), whereas that of other branches had good to excellent reliability and excellent agreement (ICC=0.625 to 0.862; PCA=85.7%-100.0%). Reliability of the Sunnybrook system was poor to fair for resting symmetry (ICC=0.195 to 0.498; PCA=91.3%-100.0%) and synkinesis (ICC=-0.037 to 0.637; PCA=69.6%-87.0%) but was good to excellent for voluntary movement (ICC=0.601 to 0.906; PCA=56.5%-91.3%) in face-to-face and video assessments. Bland-Altman plots indicated normal limits of agreement within ±1 between face-to-face and video-assessed scores only for the temporal and buccal branches of the Sydney system and for resting symmetry in the Sunnybrook system. CONCLUSIONS:Video assessment of FNP with the House-Brackmann and Sunnybrook systems was as reliable as face-to-face but with insufficient agreement, especially in the assessment of synkinesis. However, video assessment does not account for the impact of real-time interactions that occur during tele-assessment sessions.

Project description:BackgroundThe COVID-19 pandemic has led to an ongoing increase in the use of remote consultations in general practice in England. Although the evidence is limited, there are concerns that the increase in remote consultations could lead to more antibiotic prescribing.MethodsIn this cohort study, we used patient-level primary care data from the Clinical Practice Research Datalink to estimate the association between consultation mode (remote versus face-to-face) and antibiotic prescribing in England for acute respiratory infections (ARI) between April 2021 and March 2022. Eligibility criteria were applied at both practice-level and patient-level. 400 practices in England were sampled at random and then 600,000 patients were randomly sampled from the eligible patients (whose sex was recorded). Consultations for acute respiratory infections were identified. All antibiotic prescriptions were included, with the exception of antituberculosis drugs and antileprotic drugs, as identified through chapter 5.1 of the British National Formulary. The CPRD Aurum data was linked to the COVID-19 ONS infection survey by region. All analyses were done at the individual level. Repeated consultations from the same patient within 7 days were grouped together. We used targeted maximum likelihood estimation, a causal machine learning method with adjustment for infection type and patient-level, clinician-level and practice-level factors.FindingsThere were 45,997 ARI consultations (34,555 unique patients) within the study period, of which 28,127 were remote and 17,870 were face-to-face. For children, 48% of consultations were remote and, for adults, 66% were remote. For children, 42% of remote and 43% of face-to-face consultations led to an antibiotic prescription; the equivalent values for adults were 52% and 42%, respectively. After adjustment with TMLE, adults with a remote consultation had 23% (odds ratio [OR] 1.23, 95% CI: 1.18-1.29) higher chance of being prescribed antibiotics than if they had been seen face-to-face. We found no significant association between consultation mode and antibiotic prescribing in children (OR 1.04 95% CI: 0.98-1.11).InterpretationThe higher rates of antibiotic prescribing in remote consultations for adults are cause for concern. We see no significant difference in antibiotic prescribing between consultation mode for children. These findings should inform antimicrobial stewardship activities for health-care professionals and policy makers. Future research should examine differences in guideline-compliance between remote and face-to-face consultations to understand the factors driving antibiotic prescribing in different consultation modes.FundingNone.

Dataset Information

Outpatient antibiotic prescribing for common infections via telemedicine versus face-to-face visits: Systematic literature review and meta-analysis.

Objective

Design

Methods

Results

Conclusions

Publications

Outpatient antibiotic prescribing for common infections via telemedicine versus face-to-face visits: Systematic literature review and meta-analysis.

Similar Datasets

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