| Literature DB >> 33903848 |
Amber Michon1, Liza Hinchey1, Francesca Pernice1,2, Jessica Drews1, Megan Price1, Janay Christian1, Kevin Rice2, Lee Kellogg3.
Abstract
Clubhouse communities rapidly responded to the COVID-19 pandemic to keep members connected as psychosocial rehabilitation programs were globally disrupted. This investigation aims to elucidate how Clubhouse directors responded to the pandemic and their members' needs, while also directly assessing the needs and well-being of members. This study utilized secondary data from Director and Member surveys designed to capture Clubhouse status, member engagement, and measures of well-being. Descriptive statistics and correlation coefficients were computed across data from directors (n = 140) and members (n = 1136). Directors across 19 countries indicated that the majority of Clubhouses closed and were engaging with members using a variety of technologies, primarily Zoom videoconferencing. For members, greater levels of virtual Clubhouse engagement were positively correlated with physical and mental well-being and negatively correlated with hospitalization rates. This study provides support for an association between virtual Clubhouse engagement and well-being. Repeated measures studies are needed to further investigate this association.Entities:
Keywords: COVID-19 pandemic; Clubhouse; Engagement; Virtual communities; Well-being
Year: 2021 PMID: 33903848 PMCID: PMC8059420 DOI: 10.1007/s40737-021-00217-9
Source DB: PubMed Journal: J Psychosoc Rehabil Ment Health
Clubhouse country participation
| Country | Proportion | Proportion of clubhouse participation by clubhouses per country |
|---|---|---|
| Belarus | 0.007 | 1 |
| Canada | 0.029 | 0.4 |
| China | 0.007 | 0.25 |
| Denmark | 0.014 | 1 |
| Estonia | 0.007 | 1 |
| Finland | .014 | 0.15 |
| France | 0.014 | 0.67 |
| Germany | 0.014 | 1 |
| Hong Kong (SAR) | 0.007 | 1 |
| India | 0.007 | 1 |
| Ireland | 0.007 | 0.2 |
| Italy | 0.036 | 1 |
| Netherlands | 0.007 | 1 |
| Norway | 0.036 | 0.42 |
| Poland | 0.007 | 1 |
| Russian Federation | 0.007 | 1 |
| South Africa | 0.007 | 1 |
| Sweden | 0.029 | 0.33 |
| United States (U.S.A) | 0.743 | 0.52 |
n = 140
Questions used in the time 1 directors survey
| Location | In which country is your Clubhouse located? |
| Accreditation | Is your Clubhouse accredited through Clubhouse International? |
| Closure | Did your Clubhouse building close due to COVID-19? |
| Funding | Has your Clubhouse |
| Has your Clubhouse | |
| Has your Clubhouse | |
| Membership | Total active membership |
| Average daily attendance | |
| Number of members your Clubhouse has stayed in contact with since the Clubhouse building closure due to COVID-19 | |
| How many new members have joined your Clubhouse since the COVID-19 building closure? | |
| Has your Clubhouse connected with inactive members during the COVID-19 crisis? | |
| Staff | How many Clubhouse staff have stopped working (I.e. laid off, fired, etc.) due to COVID-19? |
| Hospitalizations | How many Clubhouse members have been hospitalized for COVID-19? |
| How many Clubhouse members have been hospitalized for emotional/psychiatric/medical reasons since the onset of COVID-19? | |
| Communication | Which of the following did your Clubhouse use to communicate with members |
| Which of the following is your Clubhouse using to communicate |
For Time 1, directors were asked to respond to survey questions based on their organizational experiences since COVID-19 Clubhouse closures
Questions used in the time 1 members survey
| Control Variables | What is the member's age? |
| What is the member's gender identity? | |
| Virtual Clubhouse Interactions | What is their general frequency of attendance? |
| Is the member receiving enough phone contact from the Clubhouse? | |
| Does the member call other members? | |
| Coping Mechanisms: What is the member doing that is helping them maintain their physical and mental wellness? | |
| Contact with Clubhouse/Staff | |
| Contact with Members | |
| Crisis Questions | Has the member visited the emergency room? |
| Type of visit: Medical or Psychiatric | |
| Has the member visited the hospital? | |
| Type of visit: Medical or Psychiatric | |
| Has the member had a crisis that was prevented by a Clubhouse intervention since your Clubhouse building closed due to COVID-19? | |
| Member Well-being | Current Physical Health: rated from 1 to 10, 10 being the best |
| Physical Health before COVID-19: rated from 1 to 10, 10 being the best | |
| Current Mental Health: rated from 1 to 10, 10 being the best | |
| Mental Health before COVID-19: rated from 1 to 10, 10 being the best | |
| Other | Is the member keeping a daily routine? |
For Time 1, members were asked to respond to survey questions based on their experiences since the COVID-19 closures
Member survey sample demographics and preferred communication modalities
| Variable | Mean/proportion | SD | Range |
|---|---|---|---|
| Member demographics | |||
| Age | 46.68 | 13.6 | 61 |
| % Male | 0.56 | ||
| % Female | 0.45 | ||
| Race/Ethnicity | |||
| % White/Caucasian | 0.57 | ||
| % Hispanic | 0.02 | ||
| % Black/African American | 0.32 | ||
| % American Indian/Alaska Native | 0.01 | ||
| % Asian | 0.008 | ||
| % Other/Unknown | 0.08 | ||
| Living Arrangement | |||
| % Independent Housing | 0.51 | ||
| % With Family | 0.31 | ||
| % Group Housing | 0.16 | ||
| % Clubhouse Housing | 0.01 | ||
| % Shelter | 0.01 | ||
| Member’s Clubhouse is Accredited | 0.9 | ||
| Frequency of Clubhouse Attendance | 3.07 | 0.86 | 3 |
| Member Health | |||
| Current Physical Health | 7.47 | 1.89 | 9 |
| Physical Health before COVID-19 | 7.75 | 1.83 | 9 |
| Current Member Health | 7.30 | 2.05 | 9 |
| Member Health before COVID-19 | 7.84 | 1.84 | 9 |
| Emergency Room Visits since Closures | 0.08 | ||
| Psychiatric Emergency Visit | 0.25 | ||
| COVID-19 Emergency Visit | 0.10 | ||
| Hospital Visits since Closures | 0.09 | ||
| Psychiatric Hospital Visit | 0.28 | ||
| COVID-19 Hospital Visit | 0.02 | ||
| Crisis Prevented by Clubhouse Intervention | 0.19 | ||
| Member Employment During COVID-19 | |||
| Full or Partial Loss of Employment | 0.24 | ||
| Receiving Unemployment | 0.05 | ||
| Member Participation | |||
| Participating in Educational Activities | 0.19 | ||
| Participating in a Daily Routine | 0.89 | ||
| Clubhouse Help and Contact | |||
| Received Technology Tools | 0.15 | ||
| Receiving Phone Contact with Clubhouse | 0.95 | ||
| Preferred Frequency of Phone Contact | 2.81 | 0.86 | 4 |
| Calls other Clubhouse Members | 0.52 | ||
| Desire for More Contact with Other Members | 0.48 | ||
| Utilizing Contact with Staff or Members as Coping Mechanism | 0.89 | ||
| Member’s Preferred Communication Modality | |||
| Telephone calls | 0.93 | ||
| Texting | 0.43 | ||
| Emailing | 0.22 | ||
| 0.25 | |||
| Messenger | 0.16 | ||
| Snapchat | 0.02 | ||
| 0.05 | |||
| YouTube | 0.10 | ||
| 0.02 | |||
| TikTok | 0.01 | ||
| HouseParty | 0.01 | ||
| Zoom | 0.22 | ||
| GoToMeeting | 0.02 | ||
| WebEx | 0.02 | ||
| Facetime | 0.07 | ||
| Other | 0.05 |
n = 1136
Communication used with clubhouse members prior to and during COVID-19
| Communication technology | Proportion prior to | Proportion during |
|---|---|---|
| Phone Calls | 1 | 0.986 |
| Texting/Text Now | 0.712 | 0.842 |
| 0.122 | 0.158 | |
| FaceTime | 0.115 | 0.302 |
| Emailing | 0.691 | 0.755 |
| Fountain House Learning Exchange (LEX) WebEx | 0.072 | 0.122 |
| Skype | 0.065 | 0.101 |
| Zoom | 0.086 | 0.647 |
| GoToMeetings | 0.007 | 0.058 |
| Google Dup | – | 0.050 |
| Google Hangout | 0.014 | 0.108 |
| Slack | 0.007 | 0.072 |
| Discord | 0.022 | 0.072 |
| Facebook and Facebook Messenger | 0.748 | 0.770 |
| Instagram and Instagram Live | 0.245 | 0.273 |
| 0.072 | 0.072 | |
| Snapchat | 0.036 | 0.036 |
| YouTube | 0.108 | 0.144 |
| House Party | 0.007 | 0.043 |
| Other | 0.128 | 0.307 |
n = 139
Summary of logistic regression analyses of variables predicting member hospitalizations
| Variable | Reported hospital or emergency visit | Reported psychiatric or emergency visit | ||||
|---|---|---|---|---|---|---|
| Exp (B) | Exp (B) | |||||
| Age | −0.009 | 0.007 | 0.991 | −0.03* | 0.012 | 0.971 |
| Gender (1 = female) | 0.474* | 0.187 | 10.606 | 0.572 | 0.330 | 1.771 |
| Daily Routine | −0.16 | 0.273 | 0.852 | −0.466 | 0.434 | 0.627 |
| Clubhouse Contact (1 = Yes) | −0.339* | 0.273 | 0.712 | −0.538 | 0.504 | 0.584 |
| Frequency of Clubhouse Attendance | −0.375*** | 0.101 | 0.687 | −0.082 | 0.189 | 0.921 |
| Receiving Enough Phone Contact from the Clubhouse | −0.315 | 0.372 | 0.73 | 0.808 | 1.03 | 2.242 |
| Constant | 0.124 | 0.621 | 0.884 | −1.924 | 1.337 | 0.146 |
n = 1136. Clubhouse contact refers to answering yes to any/all of the following: calls other members, considers contact with members a coping mechanism, considers contact with Clubhouse/Staff a coping mechanism. Additionally, the number of members reporting psychiatric hospitalizations was 40 (3.5%), a low N which may have impacted the analyses
*p < 0.05; **p < 0.01; ***p < 0.001
Summary of multiple regression analyses of variables predicting member well-being
| Variable | Physical Health | Mental Health | ||||
|---|---|---|---|---|---|---|
| 95% CI | 95% CI | |||||
| Age | −0.005 | 0.004 | [−0.013, 0.003] | 0.004 | 0.004 | [−0.005, 0.012] |
| Gender (1 = female) | −0.387** | 0.111 | [−0.605, −0.169] | −0.423*** | 0.120 | [−0.658, −0.189] |
| Daily Routine | 0.970*** | 0.173 | [0.631, 1.309] | 1.252*** | 0.186 | [0.887, 1.618] |
| Clubhouse Contact | −0.098 | 0.203 | [−0.495, 0.3] | −0.239 | 0.218 | [−0.668, 0.189] |
| Frequency of Clubhouse Attendance | 0.16* | 0.064 | [0.034, 0.286] | 0.013 | 0.069 | [−0.123, 0.149] |
| Receiving Adequate Phone Contact from the Clubhouse | 0.333 | 0.248 | [−0.155, 0.82] | 0.64* | 0.268 | [0.114, 1.165] |
n = 1136
*p < 0.05; **p < 0.01; ***p < 0.001