| Literature DB >> 34235615 |
Anne Honey1, Shifra Waks2, Monique Hines2, Helen Glover3, Nicola Hancock2, Debra Hamilton2, Jennifer Smith-Merry2.
Abstract
This paper uses secondary analysis to understand how COVID-19 shaped people's experiences with psychosocial support services in Australia. Data are drawn from questionnaires (n = 66) and semi-structured interviews (n = 62), conducted for a national service evaluation, with 121 people living with enduring mental health conditions and using psychosocial support services. Data relating to COVID-19 were inductively coded and analysed using constant comparative analysis. Most people's experiences included tele-support. While some people described minimal disruption to their support, many reported reduced engagement. People's wellbeing and engagement were influenced by: their location, living situation and pre-COVID lifestyles; physical health conditions; access to, comfort with, and support worker facilitation of technology; pre-COVID relationships with support workers; and communication from the organisation. The findings can help services prepare for future pandemics, adjust their services for a 'COVID-normal' world, and consider how learnings from COVID-19 could be incorporated into a flexible suite of service delivery options.Entities:
Keywords: COVID-19; Community mental health support; Lived experience perspectives; Mental health; Psychosocial support program
Mesh:
Year: 2021 PMID: 34235615 PMCID: PMC8262584 DOI: 10.1007/s10597-021-00871-0
Source DB: PubMed Journal: Community Ment Health J ISSN: 0010-3853
Program participants who discussed COVID-19
| Characteristic | Questionnaire-only respondents | Interview participants | ||
|---|---|---|---|---|
| n% | n% | |||
| Included participants | 59 | 100% | 62 | 100% |
| (n = 57) | (n = 62) | |||
| Range | 22–74 | 22–69 | ||
| Mean (standard deviation) | 47 (11.2) | 47 (11.99) | ||
| (n = 59) | (n = 62) | |||
| Female | 38 | 64.4% | 34 | 54.8% |
| Male | 19 | 32.2% | 24 | 38.7% |
| Other | 2 | 3.4% | 4 | 6.5% |
| (n = 58) | (n = 61) | |||
| No | 56 | 96.6% | 54 | 88.5% |
| Yes | 2 | 3.4% | 7 | 11.5% |
| (n = 58) | (n = 59) | |||
| Australia | 45 | 77.6% | 46 | 78.0% |
| Other | 13 | 22.4% | 13 | 22.0% |
| (n = 58) | (n = 62) | |||
| English | 439 | 88.2% | 56 | 90.3% |
| Other | 59 | 11.8% | 6 | 9.7% |
| (n = 59) | (n = 60) | |||
| City/metropolitan area | 43 | 72.9 | 44 | 73.3% |
| A regional centre | 8 | 13.6 | 6 | 10.0% |
| A rural or remote area | 8 | 13.6 | 10 | 16.7% |
| (n = 58) | (n = 62) | |||
| Yes | 5 | 8.6 | 7 | 11.3% |
| No | 53 | 91.4 | 55 | 88.7% |
| (n = 59)a | (n = 62) | |||
| Schizophrenia spectrum and other psychotic disorders | 11 | 18.6 | 9 | 14.5% |
| Bipolar and related disorders | 12 | 20.3 | 9 | 14.5% |
| Depressive disorders | 31 | 52.5 | 30 | 48.4% |
| Anxiety disorders | 25 | 42.4 | 22 | 35.5% |
| Trauma- and stressor-related disorders | 15 | 25.4 | 16 | 25.8% |
| Personality disorders | 7 | 11.9 | 9 | 14.5% |
| Other | 3 | 5.1 | 10 | 16.1% |
| (n = 59) | (n = 59) | |||
| Less than 1 month | 2 | 3.4 | 2 | 3.4% |
| Between 1 and 3 months | 12 | 20.3 | 7 | 11.9% |
| Between 4 and 6 months | 10 | 16.9 | 11 | 18.6% |
| More than 6 months | 35 | 59.3 | 39 | 66.1% |
| (n = 59) | (n = 62) | |||
| Range | 3–10 | 2–10 | ||
| Mean (standard deviation) | 7.0 (1.96) | 7.5 ( 0.5) |
Notes: n = number of people who provided a response to each question
Percentages are calculated using the number of people who responded to each question rather than the total number
aPercentage total greater than 100 as people were able to provide multiple responses