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Research

Impact of COVID-19 on the mental health of Singaporean GPs: a cross-sectional study

Alvin Lum, Yen-Li Goh, Kai Sheng Wong, Junie Seah, Gina Teo, Jun Qiang Ng, Edimansyah Abdin, Margaret Mary Hendricks, Josephine Tham, Wang Nan and Daniel Fung
BJGP Open 2021; 5 (4): BJGPO.2021.0072. DOI: https://doi.org/10.3399/BJGPO.2021.0072
Alvin Lum
1Deputy Director, Family Physician, Institute of Mental Health, Singapore, Singapore
MBBS, GDMH
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  • For correspondence: alvin_lum@imh.com.sg
Yen-Li Goh
2Director, Senior Consultant, Institute of Mental Health, Singapore, Singapore
MBBS, MMed (Psych)
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Kai Sheng Wong
3Executive, Institute of Mental Health, Singapore, Singapore
BSc (Hons)
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  • ORCID record for Kai Sheng Wong
Junie Seah
4Senior Case Manager, Institute of Mental Health, Singapore, Singapore
BPsych (Hons)
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Gina Teo
5Senior Executive, Institute of Mental Health, Singapore, Singapore
BA
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Jun Qiang Ng
3Executive, Institute of Mental Health, Singapore, Singapore
BSc
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Edimansyah Abdin
6Principal Biostatistician, Institute of Mental Health, Singapore, Singapore
PhD
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Margaret Mary Hendricks
7Senior Principal Case Manager, Institute of Mental Health, Singapore, Singapore
BHSc (Nursing), Adv Dip Adm Mgt
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Josephine Tham
4Senior Case Manager, Institute of Mental Health, Singapore, Singapore
BHSc (Nursing), MHSc (Education)
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Wang Nan
8Medical Officer, Institute of Mental Health, Singapore, Singapore
MBBS, MSc (Psych)
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Daniel Fung
9Chief Executive Officer, Senior Consultant, Institute of Mental Health, Singapore, Singapore
MBBS, MMed (Psych)
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Article Figures & Data

Tables

    • View popup
    Table 1. Responder demographics, work environment characteristics, and measures of mental health problems and illnesses
    Overall (n = 257)
    Age, years (mean, SD)41.93 (12.12)
    Sex (n, %)
     Male14154.86
     Female11243.58
     No response41.56
    Ethnic group (n, %)
     Chinese22487.16
     Malay41.56
     Indian166.23
     Eurasian10.39
     Other83.11
     No response41.56
    Marital status (n, %)
     Single4818.68
     Married19776.65
     Divorced or separated62.33
     Widowed10.39
     No response51.95
    Educational qualifications (n, %)
     MBBS5722.18
     MBBS with other postgraduate qualifications19676.26
     No response41.55
    Type of employment (n, %)
     Full time21884.82
     Part time176.61
     Locum166.23
     Other10.39
     No response51.95
    Main workplace setting (n, %)
     Individual private practice6023.35
     Shared private practice6224.12
    PHI12448.25
     Other62.33
     No response51.95
    PHPC scheme for clinics in private practice (n, %)
     PHPC11645.14
     Non-PHPC218.17
     N/A (work in PHI)11444.36
     No response62.33
    Clinically active years (n, %)
     1–3135.06
     4–52710.51
     6–107529.18
     11–153011.67
     16–203011.67
     ≥217729.96
     No response51.95
    Number of previous outbreaks participant has been clinically involved in (n, %)
     06625.68
     1238.95
     25320.62
     33212.45
     48332.30
     Mean (SD)2.17 (1.59)
    ScalesMeeting cut-off
     GAD-7 (n, %)5521.40
     PHQ-9 (n, %)6826.56
     Impact of Events-Revised (n, %)238.94
     Mean (SD)Meeting cut-off
    Oldenburg burnout inventory
     Meeting cut-off for both disengagement and exhaustion (n, %)21182.10
     Disengagement (mean score)2.72
     Exhaustion (mean score)2.57
    • GAD-7 = Generalised Anxiety Disorder-7. PHI = public health institution. PHPC = Public Health Preparedness Clinic. PHQ-9 = Public Health Questionnaire-9

    • View popup
    Table 2. Sociodemographic and work environment correlates of anxiety
    Covariate95% confidence interval
    P valueOdds ratioLowerUpper
    Age0.181.040.981.11
    Sex
     MaleBaseline
     Female0.341.410.702.87
    Ethnic group (n, %)
     ChineseBaseline
     Malay0.890.830.079.91
     Indian0.810.840.203.56
     Eurasian––––
     Other0.522.070.2219.21
    Marital status
     MarriedBaseline
     Never married0.301.590.673.78
    Type of employment
     Full timeBaseline
     Part time0.460.580.142.47
     Locum and other0.680.770.222.65
    Workplace setting
     Private clinic (PHPC)Baseline
     Private clinic (Non-PHPC)0.520.690.232.12
     Public (polyclinic)0.0033.421.507.77
    Number of outbreaks clinically involved in0.400.880.651.19
    • PHPC = Public Health Preparedness Clinic.

    • View popup
    Table 3. Sociodemographic and work environment correlates of burnout
    Covariate95% confidence interval
    P valueOdds ratioLowerUpper
    Age0.241.030.981.07
    Sex
     MaleBaseline
     Female0.601.210.602.45
    Ethnic group (n, %)
     ChineseBaseline
     Malay0.690.620.066.39
     Indian0.290.500.141.79
     Eurasian––––
     Other––––
    Marital status
     MarriedBaseline
     Never married0.981.010.432.36
    Type of employment
     Full timeBaseline
     Part time0.631.480.307.39
     Locum and other0.911.080.284.14
    Workplace setting
     Private clinic (PHPC)Baseline
     Private clinic (Non-PHPC)0.601.530.317.44
     Public (polyclinic)0.841.080.492.39
    Number of outbreaks clinically involved in0.431.120.851.48
    • PHPC = Public Health Preparedness Clinic

    • View popup
    Table 4. Sociodemographic and work environment correlates of depression
    Covariate95% confidence interval
    P valueOdds ratioLowerUpper
    Age0.351.030.971.09
    Sex
     MaleBaseline
     Female0.871.060.562.00
    Ethnic group (n, %)
     ChineseBaseline
     Malay0.230.280.032.24
     Indian0.050.300.091.01
     Eurasian––––
     Other0.660.680.123.77
    Marital status
     MarriedBaseline
     Never married0.980.990.452.19
    Type of employment
     Full timeBaseline
     Part time0.851.150.284.75
     Locum and other0.560.710.222.24
    Workplace setting
     Private clinic (PHPC)Baseline
     Private clinic (Non-PHPC)0.331.860.546.39
     Public (polyclinic)0.022.361.125.00
    Number of outbreaks clinically involved in0.251.170.901.53
    • PHPC = Public Health Preparedness Clinic

    • View popup
    Table 5. Sociodemographic and work environment correlates of post-traumatic stress disorder
    Covariate95% confidence interval
    P valueOdds ratioLowerUpper
    Age0.561.020.951.10
    Sex
     MaleBaseline
     Female0.251.820.655.09
    Ethnic group (n, %)
     ChineseBaseline
     Malay––––
     Indian0.300.400.072.26
     Eurasian––––
     Other0.830.770.078.46
    Marital status
     MarriedBaseline
     Never married0.811.160.334.07
    Type of employment
     Full timeBaseline
     Part time0.850.810.087.87
     Locum and other0.750.750.134.29
    Workplace setting
     Private clinic (PHPC)Baseline
     Private clinic (Non-PHPC)0.710.760.173.32
     Public (polyclinic)0.112.610.818.43
    Number of outbreaks clinically involved in0.151.320.901.93
    • PHPC = Public Health Preparedness Clinic

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Impact of COVID-19 on the mental health of Singaporean GPs: a cross-sectional study
Alvin Lum, Yen-Li Goh, Kai Sheng Wong, Junie Seah, Gina Teo, Jun Qiang Ng, Edimansyah Abdin, Margaret Mary Hendricks, Josephine Tham, Wang Nan, Daniel Fung
BJGP Open 2021; 5 (4): BJGPO.2021.0072. DOI: 10.3399/BJGPO.2021.0072

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Impact of COVID-19 on the mental health of Singaporean GPs: a cross-sectional study
Alvin Lum, Yen-Li Goh, Kai Sheng Wong, Junie Seah, Gina Teo, Jun Qiang Ng, Edimansyah Abdin, Margaret Mary Hendricks, Josephine Tham, Wang Nan, Daniel Fung
BJGP Open 2021; 5 (4): BJGPO.2021.0072. DOI: 10.3399/BJGPO.2021.0072
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Keywords

  • COVID-19
  • Mental health
  • General practitioners
  • Primary health care
  • anxiety
  • depression
  • burnout, psychological
  • stress disorders, post-traumatic
  • cross-sectional studies

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