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Simulating a community mental health service during the COVID-19 pandemic: effects of clinician–clinician encounters, clinician–patient–family encounters, symptom-triggered protective behaviour, and household clustering

Simulating a community mental health service during the COVID-19 pandemic: effects of clinician–clinician encounters, clinician–patient–family encounters, symptom-triggered protective behaviour, and household clustering
Simulating a community mental health service during the COVID-19 pandemic: effects of clinician–clinician encounters, clinician–patient–family encounters, symptom-triggered protective behaviour, and household clustering

Objectives: Face-to-face healthcare, including psychiatric provision, must continue despite reduced interpersonal contact during the COVID-19 (SARS-CoV-2 coronavirus) pandemic. Community-based services might use domiciliary visits, consultations in healthcare settings, or remote consultations. Services might also alter direct contact between clinicians. We examined the effects of appointment types and clinician–clinician encounters upon infection rates. Design: Computer simulation. Methods: We modelled a COVID-19-like disease in a hypothetical community healthcare team, their patients, and patients' household contacts (family). In one condition, clinicians met patients and briefly met family (e.g., home visit or collateral history). In another, patients attended alone (e.g., clinic visit), segregated from each other. In another, face-to-face contact was eliminated (e.g., videoconferencing). We also varied clinician–clinician contact; baseline and ongoing “external” infection rates; whether overt symptoms reduced transmission risk behaviourally (e.g., via personal protective equipment, PPE); and household clustering. Results: Service organisation had minimal effects on whole-population infection under our assumptions but materially affected clinician infection. Appointment type and inter-clinician contact had greater effects at low external infection rates and without a behavioural symptom response. Clustering magnified the effect of appointment type. We discuss infection control and other factors affecting appointment choice and team organisation. Conclusions: Distancing between clinicians can have significant effects on team infection. Loss of clinicians to infection likely has an adverse impact on care, not modelled here. Appointments must account for clinical necessity as well as infection control. Interventions to reduce transmission risk can synergize, arguing for maximal distancing and behavioural measures (e.g., PPE) consistent with safe care.

clustering, community mental health team, computer simulation, COVID-19/SARS-CoV-2, infection control, personal protective equipment, susceptible–exposed–infectious–recovered model
1664-0640
Cardinal, Rudolf N.
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Meiser-Stedman, Caroline E.
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Christmas, David M.
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Price, Annabel C.
13036147-6a19-4a71-965f-b47f3ea99f95
Denman, Chess
49873219-ef16-43c4-926b-bee2aaa5e9b0
Underwood, Benjamin R.
e288c7ea-daca-4ed5-a872-d81e9486057c
Chen, Shanquan
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Banerjee, Soumya
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White, Simon R.
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Su, Li
eb58753c-1d75-48e1-889a-e64e4f9d4adc
Ford, Tamsin J.
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Chamberlain, Samuel R.
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Walsh, Catherine M.
c973f71e-2321-4861-a694-b619e95b97f7
Cardinal, Rudolf N.
1fe91ac7-8f89-4064-90a3-26dc097ba229
Meiser-Stedman, Caroline E.
d1020f0a-54d6-461a-9955-fd01eb78ffa7
Christmas, David M.
1be2c765-c3bc-4f3e-8a87-957fb20e26fb
Price, Annabel C.
13036147-6a19-4a71-965f-b47f3ea99f95
Denman, Chess
49873219-ef16-43c4-926b-bee2aaa5e9b0
Underwood, Benjamin R.
e288c7ea-daca-4ed5-a872-d81e9486057c
Chen, Shanquan
1c09ca67-e1f6-4ac7-acd8-ac09c4060e18
Banerjee, Soumya
7e4c61d4-924b-4113-8222-538079beee9b
White, Simon R.
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Su, Li
eb58753c-1d75-48e1-889a-e64e4f9d4adc
Ford, Tamsin J.
2c091f47-db6f-40ad-84e0-e40c72a324a2
Chamberlain, Samuel R.
8a0e09e6-f51f-4039-9287-88debe8d8b6f
Walsh, Catherine M.
c973f71e-2321-4861-a694-b619e95b97f7

Cardinal, Rudolf N., Meiser-Stedman, Caroline E., Christmas, David M., Price, Annabel C., Denman, Chess, Underwood, Benjamin R., Chen, Shanquan, Banerjee, Soumya, White, Simon R., Su, Li, Ford, Tamsin J., Chamberlain, Samuel R. and Walsh, Catherine M. (2021) Simulating a community mental health service during the COVID-19 pandemic: effects of clinician–clinician encounters, clinician–patient–family encounters, symptom-triggered protective behaviour, and household clustering. Frontiers in Psychiatry, 12, [620842]. (doi:10.3389/fpsyt.2021.620842).

Record type: Article

Abstract

Objectives: Face-to-face healthcare, including psychiatric provision, must continue despite reduced interpersonal contact during the COVID-19 (SARS-CoV-2 coronavirus) pandemic. Community-based services might use domiciliary visits, consultations in healthcare settings, or remote consultations. Services might also alter direct contact between clinicians. We examined the effects of appointment types and clinician–clinician encounters upon infection rates. Design: Computer simulation. Methods: We modelled a COVID-19-like disease in a hypothetical community healthcare team, their patients, and patients' household contacts (family). In one condition, clinicians met patients and briefly met family (e.g., home visit or collateral history). In another, patients attended alone (e.g., clinic visit), segregated from each other. In another, face-to-face contact was eliminated (e.g., videoconferencing). We also varied clinician–clinician contact; baseline and ongoing “external” infection rates; whether overt symptoms reduced transmission risk behaviourally (e.g., via personal protective equipment, PPE); and household clustering. Results: Service organisation had minimal effects on whole-population infection under our assumptions but materially affected clinician infection. Appointment type and inter-clinician contact had greater effects at low external infection rates and without a behavioural symptom response. Clustering magnified the effect of appointment type. We discuss infection control and other factors affecting appointment choice and team organisation. Conclusions: Distancing between clinicians can have significant effects on team infection. Loss of clinicians to infection likely has an adverse impact on care, not modelled here. Appointments must account for clinical necessity as well as infection control. Interventions to reduce transmission risk can synergize, arguing for maximal distancing and behavioural measures (e.g., PPE) consistent with safe care.

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Accepted/In Press date: 3 February 2021
Published date: 25 February 2021
Keywords: clustering, community mental health team, computer simulation, COVID-19/SARS-CoV-2, infection control, personal protective equipment, susceptible–exposed–infectious–recovered model

Identifiers

Local EPrints ID: 491846
URI: http://eprints.soton.ac.uk/id/eprint/491846
ISSN: 1664-0640
PURE UUID: 916c4f71-5b13-4d46-a51f-e2c2b8e62021
ORCID for Samuel R. Chamberlain: ORCID iD orcid.org/0000-0001-7014-8121

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Date deposited: 04 Jul 2024 17:05
Last modified: 12 Jul 2024 02:06

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Contributors

Author: Rudolf N. Cardinal
Author: Caroline E. Meiser-Stedman
Author: David M. Christmas
Author: Annabel C. Price
Author: Chess Denman
Author: Benjamin R. Underwood
Author: Shanquan Chen
Author: Soumya Banerjee
Author: Simon R. White
Author: Li Su
Author: Tamsin J. Ford
Author: Samuel R. Chamberlain ORCID iD
Author: Catherine M. Walsh

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