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Research

Antibiotic prescribing for acute infections in synchronous telehealth consultations: a systematic review and meta-analysis

Mina Bakhit, Emma Baillie, Natalia Krzyzaniak, Mieke van Driel, Justin Clark, Paul Glasziou and Christopher Del Mar
BJGP Open 2021; 5 (6): BJGPO.2021.0106. DOI: https://doi.org/10.3399/BJGPO.2021.0106
Mina Bakhit
1 Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Robina, Australia
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  • ORCID record for Mina Bakhit
  • For correspondence: mbakhit@bond.edu.au
Emma Baillie
2 Primary Care Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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Natalia Krzyzaniak
1 Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Robina, Australia
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Mieke van Driel
2 Primary Care Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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Justin Clark
1 Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Robina, Australia
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Paul Glasziou
1 Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Robina, Australia
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Christopher Del Mar
1 Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Robina, Australia
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Article Figures & Data

Figures

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  • Figure 1.
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    Figure 1. PRISMA flow diagram10
  • Figure 2.
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    Figure 2. Antibiotic prescribing in synchronous TH compared with F2F consultations

Tables

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    Table 1. Risk of bias of included observational studies using ROBINS-I
    ReferenceBias owing to confoundingBias in selection of participants into the studyBias inclassification of interventionsBias owing todeviations from intended interventionsBias owing to missing dataBias inmeasurement of outcomesBias in selection of the reported resultsOverall risk of bias
    Uscher-Pines (US, 2016)27 SeriousModerateModerateSeriousNo available informationModerateNo available informationModerate
    Gordon (US, 2017)16 SeriousModerateModerateModerateNo available informationModerateNo available informationModerate
    Shi (US, 2018)25 ModerateSeriousModerateModerateNo available informationModerateNo available informationModerate
    Davis (US, 2019)15 SeriousModerateModerateSeriousNo available informationModerateNo available informationSerious
    Halpren-Ruder (US, 2019)17 SeriousSeriousModerateModerateNo available informationModerateNo available informationModerate
    Ray (US, 2019)24 ModerateSeriousModerateModerateNo available informationModerateNo available informationModerate
    Miller (US, 2020)19 SeriousModerateModerateSeriousNo available informationModerateNo available informationModerate
    Murray (US, 2020)20 SeriousSeriousModerateSeriousNo available informationModerateNo available informationSerious
    Penza (US, 2020 A)22 SeriousSeriousSeriousSeriousNo available informationModerateNo available informationSerious
    Penza (US, 2020 B)23 SeriousSeriousSeriousSeriousNo available informationModerateNo available informationSerious
    Stenehjem (US, 2020)26 SeriousSeriousModerateSeriousModerateModerateNo available informationModerate
    Norden (US, 2020)21 SeriousSeriousSeriousSeriousNo available informationModerateNo available informationSerious
    • View popup
    Table 2. Diagnostic test performed
    Study IDDiagnostic tests requestedConditionTH group N (%)F2F group N (%)Reported P valuea
    RCT
    McKinstry (UK, 2002)18 Not specified blood testAll conditions8 (4%)10 (5%)Not reported
    Not specified urine test6 (3%)8 (4%)
    X-ray1 (0.6%)5 (3%)
    Cross-sectional studies
    Gordon (US, 2017)b 16 Not specified lab testsUTI85 (20.6%)1095 (88.4%) < 0.001*
    Pharyngitis45 (15.8%)627 (73.5%) < 0.001*
    Sinusitis185 (11%)1302 (25.7%) < 0.001*
    Bronchitis40 (10.1%)308 (25.8%) < 0.001*
    Not specified ImagingCough18 (11.4)111 (23.5) 0.001*
    Bronchitis34 (8.6%)212 (17.8%) < 0.001*
    UTI34 (8.2%)227 (18.3%) < 0.001*
    URI69 (8.1%)236 (9.3%)0.31
    Sinusitis90 (5.3%)497 (9.8%) < 0.001*
    Murray (US, 2020)c 20 Urinalysis/dip stickUTI8 (5%)140 (93%) < 0.0001*
    Urine culture11 (7%)31 (21%) < 0.001*
    Norden (US, 2020)d 21 Not specified lab testsPharyngitis0.1250.2070.55
    URI excluding pharyngitis0.0230.1290.096
    Otitis media0.2500.1070.60
    Ray (US, 2019)24 Strep testStreptococcal Pharyngitis7 (1%)10 878 (67%)Not reported
    Shi (US, 2018)25 Strep testStreptococcal Pharyngitis9 (4%)17 818 (68%)Not reported
    • *Bold and asterisked P values indicate statistical significance.

    • ↵a χ2 test.

    • ↵b Tests were conducted within 21 days of index visit for all conditions.

    • ↵c Tests were conducted at initial encounter.

    • ↵d Average numbers of labs ordered.

    • URI
      upper respiratory tract infections
      UTI
      urinary tract infections
      TH
      telehealth
      F2F
      face-to-face
    • View popup
    Table 3. Follow-up characteristics by initial encounter type
    Study IDFollow-up visits withinConditionTH groupF2F
    Number of follow-up visits%Number of follow-up visits%
    Ray (US, 2019)24 2 daysARI226558751
    21 days5251145 6299
    Shi (US, 2018)25 2 daysARI1165347130.5
    21 days38841056 5576
    Gordon (US, 2017)16 21 daysAll conditions130228390028
    Murray (US, 2020)20 Same day as initial encounterUTI151069
    30 days47313926
    Penza (US, 2020 A)22 Same day as initial encounterSinusitis264915
    30 days53352114
    Penza (US, 2020 B)23 14 daysConjunctivitis9246157
    Norden (US, 2020)21 1 dayPharyngitisNot reported40Not reported21
    ARI72
    Otitis media137
    3 daysPharyngitisNot reported53Not reported28
    ARI149
    Otitis media1314
    • TH
      telehealth
      F2F
      face-to-face
      ARI
      acute respiratory infection

Supplementary Data

  • BJGPO.2021.0106.pdf -

    Supplementary material is not copyedited or typeset, and is published as supplied by the author(s). The author(s) retain(s) responsibility for its accuracy.

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Antibiotic prescribing for acute infections in synchronous telehealth consultations: a systematic review and meta-analysis
Mina Bakhit, Emma Baillie, Natalia Krzyzaniak, Mieke van Driel, Justin Clark, Paul Glasziou, Christopher Del Mar
BJGP Open 2021; 5 (6): BJGPO.2021.0106. DOI: 10.3399/BJGPO.2021.0106

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Antibiotic prescribing for acute infections in synchronous telehealth consultations: a systematic review and meta-analysis
Mina Bakhit, Emma Baillie, Natalia Krzyzaniak, Mieke van Driel, Justin Clark, Paul Glasziou, Christopher Del Mar
BJGP Open 2021; 5 (6): BJGPO.2021.0106. DOI: 10.3399/BJGPO.2021.0106
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Keywords

  • anti-bacterial agents
  • COVID-19
  • drug resistance, microbial
  • Primary health care
  • remote consultation
  • respiratory tract infections
  • SARS-CoV-2
  • telemedicine
  • urinary tract infections

More in this TOC Section

  • Podcasting in primary care: attitudes of Scottish GP specialty trainees and trainers towards podcast-based education in primary care
  • Patient perceptions of relational continuity in England: insights from two cross-sectional surveys
  • COVID-19 and patient-reported experience of general practice in England
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