Abstract
Introduction: Few studies analysed the impact of COVID-19 on supported accommodations (SAs) for people with serious mental disorders. This study aimed to analyse staff’s assessments of work challenges in SAs during COVID-19, the impact of the pandemic on staff, their perception of the impact on residents, and associated factors. Methods: To assess work challenges and the impact of the pandemic on staff and their perception of the impact on residents, a questionnaire was administered to the staff of SAs. Multilevel logistic regression analyses were conducted, involving work challenges and staff’s sociodemographic characteristics, and impact on staff. Results: In total, 117 staff from 32 SAs responded. A challenging environment was felt by most participants (68.4%). There were significant differences in work challenges experienced by staff, namely, according to profession and years working in mental health. A negative impact of COVID-19 was reported by 26.5% of staff, which was associated with their feeling that residents were no longer getting an acceptable service (OR = 7.04, 95% CI [1.43, 34.65], p = 0.016) and with staff feeling at risk of infection at work (OR = 7.99, 95% CI [1.39, 45.86], p = 0.020). Relapse and deterioration of residents’ mental health were perceived by 43.6% of staff. Conclusions: Several work challenges occurred in SAs during COVID-19, which had a negative impact on staff and reportedly on residents. Implications range from the organisational to the clinical levels and may apply internationally and in similarly challenging situations.
Resumo
Introdução: Poucos estudos analisaram o impacto da pandemia de COVID-19 nas residências apoiadas (RAs) para pessoas com doença mental grave. Este estudo teve como objetivos analisar os desafios laborais sentidos pelos profissionais destas RAs durante a COVID-19, o impacto da pandemia nos profissionais, o impacto percebido nos residentes, e fatores associados.Métodos: Para avaliar os desafios laborais e o impacto da pandemia nos profissionais e a sua perceção do impacto nos residentes, um questionário foi aplicado aos profissionais das SAs. Análises de regressão logística multinível, envolvendo os desafios laborais e as características sociodemográficas dos profissionais, e impacto nos profissionais, foram realizadas.Resultados: No total, 117 profissionais de 32 RAs participaram. Um ambiente desafiante foi sentido pela maioria dos participantes (68.4%). Verificaram-se diferenças significativas nos desafios laborais experienciados pelos profissionais, nomeadamente em relação à profissão e anos de trabalho em saúde mental. Um impacto negativo da COVID-19 foi reportado por 26.5% dos profissionais, o que se associou ao sentimento de que os residentes já não estavam a receber um serviço aceitável (OR = 7.04, 95% CI [1.43, 34.65], p = 0.016) e com os profissionais se sentirem em risco de serem infetados no trabalho (OR = 7.99, 95% CI [1.39, 45.86], p = 0.020). Deterioração na saúde mental dos residentes foi percebida por 43.6% dos profissionais.Conclusões: Vários desafios laborais ocorreram nas RAs durante a COVID-19, os quais tiveram um impacto negativo nos profissionais, e alegadamente, nos residentes. As implicações vão desde o nível organizacional ao clínico e poder-se-ão aplicar internacionalmente e em situações similarmente desafiantes.
Palavras ChaveResidências apoiadas, Doença mental grave, COVID-19
Introduction
Supported accommodations (SAs) are specialised mental health services that provide housing and psychosocial rehabilitation for people with serious mental disorders and complex needs [1]. Despite their wide variation worldwide, overall, they focus on the development of living skills to promote greater autonomy and social inclusion and facilitate recovery [1, 2].
Globally, the COVID-19 pandemic has affected mental health services, with many closing or decreasing activities [3‒5]. In addition, it has been associated with a negative impact on the well-being of healthcare workers (HCWs) [6‒9]. People with a previous history of mental disorders have also been considered at risk, but findings have been contradicting [10, 11].
Very few studies have been conducted on the impact of COVID-19 on SAs despite their specificity and their importance to a community mental health system [12‒19]. The few studies conducted in this setting have been mostly qualitative and included limited numbers of SAs and different rehabilitation services besides SAs [12, 14‒19]. In addition, only a few studied the factors associated with outcomes in residents and the staff [12, 13]. Nevertheless, these studies pointed to several challenges in the provision of care in SAs, with many having to cancel daily activities and decreasing contact with residents [14‒18]. Data regarding the impact on residents have been contradictory [12, 13, 15, 17‒19]. While some reported that residents presented none to mild symptoms of anxiety, depression, and stress, others reported anxiety, distress, sleep impairment, or exacerbation of pre-existing mental disorders [12, 13, 15, 17‒19]. Regarding SAs’ staff, the limited existing studies have pointed to a negative impact of the pandemic on their well-being [14, 16, 18].
Given the specificity of SAs, it seems fundamental to better understand the impact of the COVID-19 pandemic on these services. In particular, it is important to understand what changes occurred in SAs, the impact on residents and the staff, and factors associated with worse outcomes, using a quantitative methodology and including SAs only.
This study is the first part of a larger one on the impact of COVID-19 on SAs in Portugal. Here, we aimed to quantitatively analyse how the staff of different SAs assessed work challenges during the COVID-19 pandemic, the impact of the pandemic on the staff, and how they perceived the impact on residents. We also aimed to analyse associations between the staff’s assessments of work challenges and their sociodemographic characteristics, and also between the staff’s assessments of work challenges and the impact of the pandemic on themselves.
Methods
Study Design and Selection of Participants
A cross-sectional study was conducted on the staff of SAs for people with serious mental disorders in Portugal. Nationally, SAs typically vary according to the support provided, ranging from maximum support, where residents present high disability levels and in-person support is provided 24 h/day, to minimum support, where residents present low disability levels and in-person support is usually provided a few hours per week.
As a first step, to identify the existing SAs nationwide, contacts were made with the Ministry of Health, religious orders, public psychiatric hospitals, and a governmental website on social organisations was consulted [20]. In total, 60 SAs were identified, and an email inviting them to participate in the study was sent to each. Of these, 42 SAs agreed to participate (70% response rate). Upon acceptance, a second email was sent to the managers of each SA with an online link to a questionnaire which was asked to be filled out by all the staff of the SAs, including the manager. A letter explaining the study and encouraging staff participation was also included and asked to be distributed among all professionals. Data were collected between January and July 2022. The final analysable sample was composed of professionals of 32 SAs from the 42 that initially accepted to participate (i.e., a 53.3% adherence considering the 60 nationally identified SAs).
Ethical Considerations
This study was approved by an Ethics Committee. Written informed consent was obtained from every participant, and data confidentiality was guaranteed.
Identification and Measurement of Variables
A questionnaire based on the instrument “COVID-19: what’s happening in mental health care?” developed by Johnson et al. [14] was used. The original questionnaire was developed to measure the impact of the COVID-19 pandemic on mental health care according to the staff of different mental health settings across the UK. An extended group of clinicians, researchers, and people with lived experience was involved, with additional input from experts in specific mental healthcare fields. Afterwards, it was pilot tested for length, acceptability, and relevance. The first section of the questionnaire was to be answered by the staff from all mental health services, which was then followed by sections aimed at the staff from specific settings, including SAs. In both sections, the staff were asked to rate the relevance or the presence of several work challenges during the pandemic, including problems faced by residents from the staff’s perspective. For example, for certain work challenges such as “greater workload than usual,” the staff were asked to rate its relevance during the pandemic as “not relevant,” “slightly relevant,” “moderately relevant,” “very relevant,” or “extremely relevant.” For items such as “has your service had to ask any residents to leave because of concerns about infection control?,” ratings included “yes” or “no.” Possible work challenges during the pandemic included, for example, greater workload, the risk of being infected at work, staff feeling less able to do the job than usual because their own well-being had suffered through the stresses of the pandemic, lack of access of residents to usual mental health services, and relapse and deterioration in the mental health of residents triggered by COVID-19 stresses. The questionnaire aimed to provide an overview of the impact of the pandemic, and thus, no score is yielded. For the current study, and due to the instrument’s length, 14 items of the original instrument were selected upon review of the most significant literature on the topic and consensus between the research team (see Table 1). A forward translation to Portuguese was done independently by two individuals, after which both versions were compared, and a preliminary version of the instrument was jointly decided. A back-translation of this initial version was then conducted, and items that did not retain their original meaning were re-translated and back-translated again. This questionnaire was then administered online to the staff of SAs.
1. Greater workload than usual |
2. Service users no longer getting an acceptable service due to service reconfiguration because of COVID-19 |
3. The risk I or my colleagues could be infected with COVID-19 at work |
4. Having to adapt too quickly to new ways of working |
5. Lack of protective clothing (PPE) and equipment needed for infection control |
6. Difficulty putting infection control measures into practice in the setting I work in |
7. Feeling less able to do my job than usual because my own well-being has suffered through the stresses of the pandemic |
8. Lack of support because of closure of or reduction in community mental health services |
9. Lack of support due to reduction in other services in the community, e.g., primary care, social care, voluntary sector services |
10. More challenging environment because residents cannot go out and engage in activities as usual |
11. Has your service had to ask any residents to leave because of concerns about infection control? |
12. Lack of service users’ access to usual support networks of family and friends |
13. Service users’ worries about getting COVID-19 infection |
14. Relapse and deterioration in mental health of service users triggered by COVID-19 stresses |
1. Greater workload than usual |
2. Service users no longer getting an acceptable service due to service reconfiguration because of COVID-19 |
3. The risk I or my colleagues could be infected with COVID-19 at work |
4. Having to adapt too quickly to new ways of working |
5. Lack of protective clothing (PPE) and equipment needed for infection control |
6. Difficulty putting infection control measures into practice in the setting I work in |
7. Feeling less able to do my job than usual because my own well-being has suffered through the stresses of the pandemic |
8. Lack of support because of closure of or reduction in community mental health services |
9. Lack of support due to reduction in other services in the community, e.g., primary care, social care, voluntary sector services |
10. More challenging environment because residents cannot go out and engage in activities as usual |
11. Has your service had to ask any residents to leave because of concerns about infection control? |
12. Lack of service users’ access to usual support networks of family and friends |
13. Service users’ worries about getting COVID-19 infection |
14. Relapse and deterioration in mental health of service users triggered by COVID-19 stresses |
Work Challenges
For this study, the work challenges included from the original instrument addressed workload (item 1), service acceptability (item 2), worries regarding infection (item 3 and item 13), work adaptations (item 4), protective clothing (item 5), infection control (item 6), support from community services (item 8 and item 9), challenging environment (item 10), and access of residents to social networks (item 12) (see Table 1). Due to the small sample size and its relatedness, items addressing protective clothing and infection control were transformed into one variable, as well as items addressing support from community mental health services and other services in the community. To study the association between work challenges and the impact on the staff, all items, except item 11, were included.
Impact of the COVID-19 Pandemic on Staff and Residents
Items “feeling less able to do my job than usual because my own well-being has suffered through the stresses of the pandemic” (item 7) and “relapse and deterioration in residents’ mental health triggered by COVID-19 stresses” (item 14) were used to assess the impact of COVID-19 on the staff and the perceived impact of COVID-19 on the residents, respectively (see Table 1).
Sociodemographic Characteristics of the Staff
Sociodemographic characteristics were assessed using adapted questions from the original instrument and included gender (male/female), age (under 25/25–34/35–44/45–54/55–64/65 or over), profession (psychologist/nurse/occupational therapist/social worker/other), having a leadership role (yes/no), years working in mental health (years), caring for children under 18 (yes/no), caring for elderly or disabled relatives or friends (yes/no), the staff’s SA type of support (minimum/autonomy training SAs/moderate/maximum), and the staff’s SA location (Lisbon Metropolitan Area [LMA]/North/Centre/South/Insular Region). Age was categorised into “less than 45” and “45 or over” since worse COVID-19 outcomes were associated with increasing age; profession into “technical team” (which included psychologists, nurses, occupational therapists, and social workers) and “support workers,” given their different main tasks; years working in mental health into “less than 3 years” and “3 years or over,” to distinguish between those working in mental health since the pandemic and those who had been working before; staff’s SA type of support into “minimum” (which included minimum support SAs) and “moderate to maximum” (which included “autonomy training,” moderate, and maximum support SAs), to distinguish between those which usually provide more periodic support and those providing daily support; and staff’s SA location into “LMA” and “outside LMA,” due to the predominance of SAs in the LMA.
Statistical Analysis
For all analyses, we categorised answers “not relevant,” “slightly relevant,” and “moderately relevant” into “not relevant to moderately relevant,” and answers “very relevant” and “extremely relevant” into “very to extremely relevant.” This was due to the sample size obtained on some of the responses which would hinder the analysis as well as to clearly distinguish participants who felt at least very relevant work challenges from those who did not. Absolute and relative frequencies were used to describe categorical data. Bivariate and multivariable analyses, consisting of multilevel/hierarchical logistic regression models, were conducted to assess associations while considering possible SAs effects. To study the association between work challenges and the staff’s sociodemographic characteristics, impact on the staff, and the staff’s perception of the impact on residents, sociodemographic characteristics were considered as independent variables, while work challenges, impact on the staff, and the staff’s perception of the impact on residents were considered the dependent variables. To study the association between work challenges and the impact on the staff, work challenges were considered as independent variables while the impact on the staff was considered the dependent variable. As a first step, all variables whose association with the outcome yielded a correspondent p < 0.25 were included in multivariable analyses [21]. Sociodemographic characteristics associated with either dependent or independent variables were considered potential confounders in the multivariable analyses between work challenges and the impact of the pandemic on the staff. Estimated crude (OR) and adjusted odds ratios, their corresponding 95% confidence intervals (CIs), and p values are presented, as well as intra-class correlation values. VIF analyses were used to investigate possible multicollinearity among the explanatory variables, and model assessment and model fit were performed. RStudio (version 1.2.5033) was used for statistical analysis, including DescTools and lme4 R packages [22].
Results
Staff’s Sociodemographic Characteristics
In total, 117 participants from 32 SAs have responded. The staff’s sociodemographic characteristics are presented in Table 2.
Variables . | n (%) . |
---|---|
Gender | |
Male | 20 (17.1) |
Female | 97 (82.9) |
Age (n = 115) | |
<45 years | 52 (44.4) |
≥45 years | 63 (53.8) |
NA | 2 (1.7) |
Profession | |
Technical workers | 48 (41.0) |
Support workers | 69 (59.0) |
Leadership/coordination role | |
Yes | 39 (33.3) |
No | 78 (66.7) |
Years working in mental health | |
<3 years | 21 (17.9) |
≥3 years | 96 (82.1) |
Caring for any children under 18 or any elderly or disabled relatives or friends | |
Yes | 45 (38.5) |
No | 72 (61.5) |
Location of SAs | |
LMA | 62 (53.0) |
Outside LMA | 37 (31.6) |
NA | 18 (15.4) |
Type of support of SAs | |
Minimum | 11 (9.4) |
Moderate to maximum | 88 (75.2) |
NA | 18 (15.4) |
Total n = 117 |
Variables . | n (%) . |
---|---|
Gender | |
Male | 20 (17.1) |
Female | 97 (82.9) |
Age (n = 115) | |
<45 years | 52 (44.4) |
≥45 years | 63 (53.8) |
NA | 2 (1.7) |
Profession | |
Technical workers | 48 (41.0) |
Support workers | 69 (59.0) |
Leadership/coordination role | |
Yes | 39 (33.3) |
No | 78 (66.7) |
Years working in mental health | |
<3 years | 21 (17.9) |
≥3 years | 96 (82.1) |
Caring for any children under 18 or any elderly or disabled relatives or friends | |
Yes | 45 (38.5) |
No | 72 (61.5) |
Location of SAs | |
LMA | 62 (53.0) |
Outside LMA | 37 (31.6) |
NA | 18 (15.4) |
Type of support of SAs | |
Minimum | 11 (9.4) |
Moderate to maximum | 88 (75.2) |
NA | 18 (15.4) |
Total n = 117 |
Work Challenges during COVID-19 and the Impact of the Pandemic on the Staff and Perceived Impact on the Residents
The most reported challenges were (see Table 3) a challenging environment (68.4%), residents’ worries about COVID-19 infection (62.4%), lack of support from community services (53.8%), and lack of residents’ access to usual social support networks (50.4%). Regarding the impact of the pandemic on the staff and the residents, 26.5% of the staff reported feeling less able to do their job than usual because their well-being had suffered, and 43.6% reported relapse and deterioration in the mental health of residents.
Variables . | n (%) . |
---|---|
Work challenges during the COVID-19 pandemic | |
1. Greater workload than usual | |
Not relevant to moderately relevant | 70 (59.8) |
Very to extremely relevant | 47 (40.2) |
2. Residents no longer getting an acceptable service due to service reconfiguration because of COVID-19 | |
Not relevant to moderately relevant | 75 (64.1) |
Very to extremely relevant | 42 (35.9) |
3. The risk I or my colleagues could be infected with COVID-19 at work | |
Not relevant to moderately relevant | 66 (56.4) |
Very to extremely relevant | 51 (43.6) |
4. Having to adapt too quickly to new ways of working | |
Not relevant to moderately relevant | 61 (52.1) |
Very to extremely relevant | 56 (47.9) |
5. and 6. Lack of protective clothing (PPE) and equipment or difficulty putting infection control measures into practice in the setting I work in | |
Not relevant to moderately relevant | 89 (76.1) |
Very to extremely relevant | 28 (23.9) |
8 and 9. Lack of support because of closure of or reduction in community mental health services or other services in the community | |
Not relevant to moderately relevant | 54 (46.2) |
Very to extremely relevant | 63 (53.8) |
10. More challenging environment because residents cannot go out and engage in activities as usual | |
Not relevant to moderately relevant | 37 (31.6) |
Very to extremely relevant | 80 (68.4) |
11. Has your service had to ask any residents to leave because of concerns about infection control? | |
Yes | 34 (29.1)1 |
No | 83 (70.9) |
12. Lack of residents’ access to usual support networks of family and friends | |
Not relevant to moderately relevant | 58 (49.6) |
Very to extremely relevant | 59 (50.4) |
13. Residents’ worries about getting COVID-19 infection | |
Not relevant to moderately relevant | 44 (37.6) |
Very to extremely relevant | 73 (62.4) |
Impact of the COVID-19 pandemic on staff and perceived impact on residents | |
7. Feeling less able to do my job than usual because my own well-being has suffered through the stresses of the pandemic | |
Not relevant to moderately relevant | 86 (73.5) |
Very to extremely relevant | 31 (26.5) |
14. Relapse and deterioration in mental health of residents triggered by COVID-19 stresses | |
Not relevant to moderately relevant | 66 (56.4) |
Very to extremely relevant | 51 (43.6) |
Total n = 117 |
Variables . | n (%) . |
---|---|
Work challenges during the COVID-19 pandemic | |
1. Greater workload than usual | |
Not relevant to moderately relevant | 70 (59.8) |
Very to extremely relevant | 47 (40.2) |
2. Residents no longer getting an acceptable service due to service reconfiguration because of COVID-19 | |
Not relevant to moderately relevant | 75 (64.1) |
Very to extremely relevant | 42 (35.9) |
3. The risk I or my colleagues could be infected with COVID-19 at work | |
Not relevant to moderately relevant | 66 (56.4) |
Very to extremely relevant | 51 (43.6) |
4. Having to adapt too quickly to new ways of working | |
Not relevant to moderately relevant | 61 (52.1) |
Very to extremely relevant | 56 (47.9) |
5. and 6. Lack of protective clothing (PPE) and equipment or difficulty putting infection control measures into practice in the setting I work in | |
Not relevant to moderately relevant | 89 (76.1) |
Very to extremely relevant | 28 (23.9) |
8 and 9. Lack of support because of closure of or reduction in community mental health services or other services in the community | |
Not relevant to moderately relevant | 54 (46.2) |
Very to extremely relevant | 63 (53.8) |
10. More challenging environment because residents cannot go out and engage in activities as usual | |
Not relevant to moderately relevant | 37 (31.6) |
Very to extremely relevant | 80 (68.4) |
11. Has your service had to ask any residents to leave because of concerns about infection control? | |
Yes | 34 (29.1)1 |
No | 83 (70.9) |
12. Lack of residents’ access to usual support networks of family and friends | |
Not relevant to moderately relevant | 58 (49.6) |
Very to extremely relevant | 59 (50.4) |
13. Residents’ worries about getting COVID-19 infection | |
Not relevant to moderately relevant | 44 (37.6) |
Very to extremely relevant | 73 (62.4) |
Impact of the COVID-19 pandemic on staff and perceived impact on residents | |
7. Feeling less able to do my job than usual because my own well-being has suffered through the stresses of the pandemic | |
Not relevant to moderately relevant | 86 (73.5) |
Very to extremely relevant | 31 (26.5) |
14. Relapse and deterioration in mental health of residents triggered by COVID-19 stresses | |
Not relevant to moderately relevant | 66 (56.4) |
Very to extremely relevant | 51 (43.6) |
Total n = 117 |
1Corresponding to 16 SAs
Relationship between the Staff’s Sociodemographic Characteristics and Work Challenges, the Impact of the Pandemic on the Staff, and the Perceived Impact on the Residents
Compared to technical workers, support workers had a decrease in the odds of reporting residents no longer getting an acceptable service, having to adapt too quickly to new ways of working, a challenging environment, and a lack of residents’ access to usual support networks (see Table 4). Staff working in mental health for 3 years or longer had greater odds of reporting having to adapt too quickly to new ways of working and a challenging environment. Staff from SAs located outside LMA had a decrease in the odds of reporting having to adapt too quickly to new ways of working and a lack of support from community services. Male staff had greater odds of reporting lack of protective clothing (PPE) and equipment or difficulty putting infection control measures into practice.
Item . | Sociodemographic characteristics . | Bivariate . | Multivariable . | ||||
---|---|---|---|---|---|---|---|
OR (95% CI) . | p value . | aOR (95% CI) . | . | adjusted p value . | |||
Work challenges during the COVID-19 pandemic | |||||||
1. Greater workload than usual | Gender (male) | 0.43 (0.07, 2.55) | 0.356 | - | - | ||
Age (≥45 years) | 2.08 (0.61, 7.14) | 0.244 | 1.93 (0.54, 6.93) | 0.315 | |||
Profession (support workers) | 0.41 (0.12, 1.42) | 0.158 | 0.94 (0.19, 4.51) | 0.933 | |||
Leadership role (yes) | 5.25 (1.36, 20.31) | 0.0161 | 4.57 (0.87, 24.04) | 0.073 | |||
Years working in MH (≥3 years) | 31.73 (1.65, 611.54) | 0.0221 | 30.66 (1.39, 677.59) | 0.0301 | |||
Location (outside LMA) | 0.21 (0.03, 1.68) | 0.142 | 0.24 (0.03, 2.10) | 0.198 | |||
Type of support (minimum) | 4.95 (0.32, 76.99) | 0.253 | - | - | |||
2. Residents no longer getting an acceptable service due to service reconfiguration because of COVID-19 | Gender (male) | 2.03 (0.71, 5.79) | 0.184 | 2.82 (0.85, 9.33) | 0.090 | ||
Age (≥45 years) | 0.71 (0.29, 1.72) | 0.443 | - | - | |||
Profession (support workers) | 0.48 (0.20, 1.18) | 0.110 | 0.37 (0.14, 0.99) | 0.0481 | |||
Leadership role (yes) | 0.84 (0.33, 2.12) | 0.707 | - | - | |||
Years working in MH (≥3 years) | 2.78 (0.81, 9.54) | 0.105 | 2.40 (0.67, 8.58) | 0.177 | |||
Location (outside LMA) | 0.83 (0.30, 2.32) | 0.718 | - | - | |||
Type of support (minimum) | 3.28 (0.83, 13.06) | 0.092 | 2.07 (0.48, 9.00) | 0.334 | |||
3. The risk I or my colleagues could be infected with COVID-19 at work | Gender (male) | 1.85 (0.58, 5.90) | 0.297 | - | - | ||
Age (≥45 years) | 0.57 (0.23, 1.41) | 0.223 | - | - | |||
Profession (support workers) | 0.93 (0.37, 2.31) | 0.872 | - | - | |||
Leadership role (yes) | 1.31 (0.51, 3.38) | 0.575 | - | - | |||
Years working in MH (≥3 years) | 0.63 (0.20, 1.99) | 0.434 | - | - | |||
Location (outside LMA) | 0.52 (0.16, 1.74) | 0.288 | - | - | |||
Type of support (minimum) | 1.26 (0.25, 6.47) | 0.782 | - | - | |||
4. Having to adapt too quickly to new ways of working | Gender (male) | 1.13 (0.34, 3.81) | 0.840 | - | - | ||
Age (≥45 years) | 1.01 (0.39, 2.65) | 0.977 | - | - | |||
Profession (support workers) | 0.21 (0.08, 0.58) | 0.0021 | 0.26 (0.08, 0.88) | 0.0301 | |||
Leadership role (yes) | 4.71 (1.68, 13.22) | 0.0031 | 2.20 (0.65, 7.49) | 0.208 | |||
Years working in MH (≥3 years) | 5.91 (1.50, 23.19) | 0.0111 | 7.87 (1.80, 34.38) | 0.0061 | |||
Location (outside LMA) | 0.17 (0.06, 0.50) | 0.0011 | 0.17 (0.05, 0.54) | 0.0021 | |||
Type of support (minimum) | 11.01 (1.09, 111.35) | 0.0421 | 6.74 (0.76, 59.80) | 0.09 | |||
5 and 6. Lack of protective clothing (PPE) and equipment or difficulty putting infection control measures into practice in the setting I work in | Gender (male) | 4.50 (1.54, 13.16) | 0.0061 | 4.50 (1.54, 13.16) | 0.0061 | ||
Age (≥45 years) | 0.62 (0.24, 1.58) | 0.315 | - | - | |||
Profession (support workers) | 1.20 (0.48, 3.04) | 0.699 | - | - | |||
Leadership role (yes) | 0.82 (0.31, 2.18) | 0.688 | - | - | |||
Years working in MH (≥3 years) | 1.55 (0.46, 5.19) | 0.482 | - | - | |||
Location (outside LMA) | 0.85 (0.32, 2.25) | 0.738 | - | - | |||
Type of support (minimum) | 1.71 (0.46, 6.42) | 0.423 | - | - | |||
8 and 9. Lack of support because of closure of or reduction in community mental health services or other services in the community | Gender (male) | 1.48 (0.44, 5.03) | 0.527 | - | - | ||
Age (≥45 years) | 0.46 (0.17, 1.26) | 0.133 | 0.61 (0.24, 1.53) | 0.286 | |||
Profession (support workers) | 0.46 (0.18, 1.21) | 0.117 | 0.68 (0.27, 1.74) | 0.420 | |||
Leadership role (yes) | 1.70 (0.63, 4.58) | 0.298 | - | - | |||
Years working in MH (≥3 years) | 1.74 (0.54, 5.60) | 0.353 | - | - | |||
Location (outside LMA) | 0.16 (0.07, 0.39) | <0.0011 | 0.19 (0.07, 0.52) | 0.0011 | |||
Type of support (minimum) | 1.83 (0.33, 10.30) | 0.492 | - | - | |||
10. More challenging environment because residents cannot go out and engage in activities as usual | Gender (male) | 0.87 (0.30, 2.58) | 0.806 | - | - | ||
Age (≥45 years) | 0.86 (0.36, 2.06) | 0.738 | - | - | |||
Profession (support workers) | 0.20 (0.07, 0.57) | 0.0031 | 0.16 (0.04, 0.62) | 0.0081 | |||
Leadership role (yes) | 2.41 (0.87, 6.67) | 0.091 | 0.67 (0.17, 2.66) | 0.568 | |||
Years working in MH (≥3 years) | 4.34 (1.52, 12.43) | 0.0061 | 5.09 (1.56, 16.56) | 0.0071 | |||
Location (outside LMA) | 0.43 (0.18, 1.04) | 0.0601 | 0.51 (0.18, 1.40) | 0.190 | |||
Type of support (minimum) | 1.99 (0.40, 9.84) | 0.398 | - | - | |||
11. Has your service had to ask any residents to leave because of concerns about infection control? | Gender (male) | 3.50 (0.30, 41.16) | 0.320 | - | - | ||
Age (≥45 years) | 0.49 (0.06, 3.84) | 0.497 | - | - | |||
Profession (support workers) | 1.05 (0.17, 6.47) | 0.957 | - | - | |||
Leadership role (yes) | 0.54 (0.08, 3.78) | 0.537 | - | - | |||
Years working in MH (≥3 years) | 0.37 (0.03, 4.29) | 0.426 | - | - | |||
Location (outside LMA) | 0.42 (0.01, 12.57) | 0.617 | - | - | |||
Type of support (minimum) | 11.40 (0.19, 688.02) | 0.245 | - | - | |||
12. Lack of residents’ access to usual support networks of family and friends | Gender (male) | 0.41 (0.12, 1.41) | 0.159 | 0.76 (0.21, 2.73) | 0.671 | ||
Age (≥45 years) | 1.28 (0.50, 3.26) | 0.605 | - | - | |||
Profession (support workers) | 0.27 (0.10, 0.75) | 0.0111 | 0.33 (0.11, 0.95) | 0.0391 | |||
Leadership role (yes) | 1.43 (0.54, 3.78) | 0.468 | - | - | |||
Years working in MH (≥3 years) | 1.47 (0.47, 4.59) | 0.511 | - | - | |||
Location (outside LMA) | 0.49 (0.16, 1.55) | 0.225 | 0.69 (0.18, 2.73) | 0.601 | |||
Type of support (minimum) | 4.21 (0.67, 26.52) | 0.126 | 3.80 (0.52, 27.86) | 0.189 | |||
13. Residents’ worries about getting COVID-19 infection | Gender (male) | 3.35 (0.80, 14.10) | 0.0991 | 3.61 (0.86, 15.18) | 0.080 | ||
Age (≥45 years) | 2.36 (0.86, 6.49) | 0.096 | 2.58 (0.93, 7.11) | 0.070 | |||
Profession (support workers) | 1.64 (0.62, 4.33) | 0.316 | - | - | |||
Leadership role (yes) | 0.70 (0.26, 1.93) | 0.491 | - | - | |||
Years working in MH (≥3 years) | 0.85 (0.25, 2.92) | 0.793 | - | - | |||
Location (outside LMA) | 1.65 (0.42, 6.56) | 0.477 | - | - | |||
Type of support (minimum) | 1.40 (0.22, 8.89) | 0.719 | - | - | |||
Impact of the COVID-19 pandemic on staff and perceived impact on residents | |||||||
7. Feeling less able to do my job than usual because my own well-being has suffered through the stresses of the pandemic | Gender (male) | 2.38 (0.73, 7.77) | 0.151 | 2.37 (0.73, 7.68) | 0.151 | ||
Age (≥45 years) | 1.35 (0.47, 3.88) | 0.576 | - | - | |||
Profession (support workers) | 1.20 (0.43, 3.39) | 0.732 | - | - | |||
Leadership role (yes) | 1.38 (0.48, 3.93) | 0.548 | - | - | |||
Years working in MH (≥3 years) | 2.24e8 (0, Inf) | 0.993 | - | - | |||
Location (outside LMA) | 0.44 (0.11, 1.80) | 0.255 | - | - | |||
Type of support (minimum) | 3.09 (0.58, 16.56) | 0.189 | 2.90 (0.59, 14.33) | 0.191 | |||
14. Relapse and deterioration in mental health of residents triggered by COVID-19 stresses | Gender (male) | 1.74 (0.54, 5.59) | 0.350 | - | - | ||
Age (≥45 years) | 0.51 (0.20, 1.30) | 0.157 | 0.51 (0.20, 1.28) | 0.150 | |||
Profession (support workers) | 0.67 (0.27, 1.68) | 0.390 | - | - | |||
Leadership role (yes) | 0.48 (0.18, 1.30) | 0.148 | 0.39 (0.14, 1.08) | 0.069 | |||
Years working in MH (≥3 years) | 1.51 (0.48, 4.77) | 0.481 | - | - | |||
Location (outside LMA) | 0.41 (0.14, 1.21) | 0.105 | 0.32 (0.10, 1.06) | 0.061 | |||
Type of support (minimum) | 2.06 (0.40, 10.68) | 0.388 |
Item . | Sociodemographic characteristics . | Bivariate . | Multivariable . | ||||
---|---|---|---|---|---|---|---|
OR (95% CI) . | p value . | aOR (95% CI) . | . | adjusted p value . | |||
Work challenges during the COVID-19 pandemic | |||||||
1. Greater workload than usual | Gender (male) | 0.43 (0.07, 2.55) | 0.356 | - | - | ||
Age (≥45 years) | 2.08 (0.61, 7.14) | 0.244 | 1.93 (0.54, 6.93) | 0.315 | |||
Profession (support workers) | 0.41 (0.12, 1.42) | 0.158 | 0.94 (0.19, 4.51) | 0.933 | |||
Leadership role (yes) | 5.25 (1.36, 20.31) | 0.0161 | 4.57 (0.87, 24.04) | 0.073 | |||
Years working in MH (≥3 years) | 31.73 (1.65, 611.54) | 0.0221 | 30.66 (1.39, 677.59) | 0.0301 | |||
Location (outside LMA) | 0.21 (0.03, 1.68) | 0.142 | 0.24 (0.03, 2.10) | 0.198 | |||
Type of support (minimum) | 4.95 (0.32, 76.99) | 0.253 | - | - | |||
2. Residents no longer getting an acceptable service due to service reconfiguration because of COVID-19 | Gender (male) | 2.03 (0.71, 5.79) | 0.184 | 2.82 (0.85, 9.33) | 0.090 | ||
Age (≥45 years) | 0.71 (0.29, 1.72) | 0.443 | - | - | |||
Profession (support workers) | 0.48 (0.20, 1.18) | 0.110 | 0.37 (0.14, 0.99) | 0.0481 | |||
Leadership role (yes) | 0.84 (0.33, 2.12) | 0.707 | - | - | |||
Years working in MH (≥3 years) | 2.78 (0.81, 9.54) | 0.105 | 2.40 (0.67, 8.58) | 0.177 | |||
Location (outside LMA) | 0.83 (0.30, 2.32) | 0.718 | - | - | |||
Type of support (minimum) | 3.28 (0.83, 13.06) | 0.092 | 2.07 (0.48, 9.00) | 0.334 | |||
3. The risk I or my colleagues could be infected with COVID-19 at work | Gender (male) | 1.85 (0.58, 5.90) | 0.297 | - | - | ||
Age (≥45 years) | 0.57 (0.23, 1.41) | 0.223 | - | - | |||
Profession (support workers) | 0.93 (0.37, 2.31) | 0.872 | - | - | |||
Leadership role (yes) | 1.31 (0.51, 3.38) | 0.575 | - | - | |||
Years working in MH (≥3 years) | 0.63 (0.20, 1.99) | 0.434 | - | - | |||
Location (outside LMA) | 0.52 (0.16, 1.74) | 0.288 | - | - | |||
Type of support (minimum) | 1.26 (0.25, 6.47) | 0.782 | - | - | |||
4. Having to adapt too quickly to new ways of working | Gender (male) | 1.13 (0.34, 3.81) | 0.840 | - | - | ||
Age (≥45 years) | 1.01 (0.39, 2.65) | 0.977 | - | - | |||
Profession (support workers) | 0.21 (0.08, 0.58) | 0.0021 | 0.26 (0.08, 0.88) | 0.0301 | |||
Leadership role (yes) | 4.71 (1.68, 13.22) | 0.0031 | 2.20 (0.65, 7.49) | 0.208 | |||
Years working in MH (≥3 years) | 5.91 (1.50, 23.19) | 0.0111 | 7.87 (1.80, 34.38) | 0.0061 | |||
Location (outside LMA) | 0.17 (0.06, 0.50) | 0.0011 | 0.17 (0.05, 0.54) | 0.0021 | |||
Type of support (minimum) | 11.01 (1.09, 111.35) | 0.0421 | 6.74 (0.76, 59.80) | 0.09 | |||
5 and 6. Lack of protective clothing (PPE) and equipment or difficulty putting infection control measures into practice in the setting I work in | Gender (male) | 4.50 (1.54, 13.16) | 0.0061 | 4.50 (1.54, 13.16) | 0.0061 | ||
Age (≥45 years) | 0.62 (0.24, 1.58) | 0.315 | - | - | |||
Profession (support workers) | 1.20 (0.48, 3.04) | 0.699 | - | - | |||
Leadership role (yes) | 0.82 (0.31, 2.18) | 0.688 | - | - | |||
Years working in MH (≥3 years) | 1.55 (0.46, 5.19) | 0.482 | - | - | |||
Location (outside LMA) | 0.85 (0.32, 2.25) | 0.738 | - | - | |||
Type of support (minimum) | 1.71 (0.46, 6.42) | 0.423 | - | - | |||
8 and 9. Lack of support because of closure of or reduction in community mental health services or other services in the community | Gender (male) | 1.48 (0.44, 5.03) | 0.527 | - | - | ||
Age (≥45 years) | 0.46 (0.17, 1.26) | 0.133 | 0.61 (0.24, 1.53) | 0.286 | |||
Profession (support workers) | 0.46 (0.18, 1.21) | 0.117 | 0.68 (0.27, 1.74) | 0.420 | |||
Leadership role (yes) | 1.70 (0.63, 4.58) | 0.298 | - | - | |||
Years working in MH (≥3 years) | 1.74 (0.54, 5.60) | 0.353 | - | - | |||
Location (outside LMA) | 0.16 (0.07, 0.39) | <0.0011 | 0.19 (0.07, 0.52) | 0.0011 | |||
Type of support (minimum) | 1.83 (0.33, 10.30) | 0.492 | - | - | |||
10. More challenging environment because residents cannot go out and engage in activities as usual | Gender (male) | 0.87 (0.30, 2.58) | 0.806 | - | - | ||
Age (≥45 years) | 0.86 (0.36, 2.06) | 0.738 | - | - | |||
Profession (support workers) | 0.20 (0.07, 0.57) | 0.0031 | 0.16 (0.04, 0.62) | 0.0081 | |||
Leadership role (yes) | 2.41 (0.87, 6.67) | 0.091 | 0.67 (0.17, 2.66) | 0.568 | |||
Years working in MH (≥3 years) | 4.34 (1.52, 12.43) | 0.0061 | 5.09 (1.56, 16.56) | 0.0071 | |||
Location (outside LMA) | 0.43 (0.18, 1.04) | 0.0601 | 0.51 (0.18, 1.40) | 0.190 | |||
Type of support (minimum) | 1.99 (0.40, 9.84) | 0.398 | - | - | |||
11. Has your service had to ask any residents to leave because of concerns about infection control? | Gender (male) | 3.50 (0.30, 41.16) | 0.320 | - | - | ||
Age (≥45 years) | 0.49 (0.06, 3.84) | 0.497 | - | - | |||
Profession (support workers) | 1.05 (0.17, 6.47) | 0.957 | - | - | |||
Leadership role (yes) | 0.54 (0.08, 3.78) | 0.537 | - | - | |||
Years working in MH (≥3 years) | 0.37 (0.03, 4.29) | 0.426 | - | - | |||
Location (outside LMA) | 0.42 (0.01, 12.57) | 0.617 | - | - | |||
Type of support (minimum) | 11.40 (0.19, 688.02) | 0.245 | - | - | |||
12. Lack of residents’ access to usual support networks of family and friends | Gender (male) | 0.41 (0.12, 1.41) | 0.159 | 0.76 (0.21, 2.73) | 0.671 | ||
Age (≥45 years) | 1.28 (0.50, 3.26) | 0.605 | - | - | |||
Profession (support workers) | 0.27 (0.10, 0.75) | 0.0111 | 0.33 (0.11, 0.95) | 0.0391 | |||
Leadership role (yes) | 1.43 (0.54, 3.78) | 0.468 | - | - | |||
Years working in MH (≥3 years) | 1.47 (0.47, 4.59) | 0.511 | - | - | |||
Location (outside LMA) | 0.49 (0.16, 1.55) | 0.225 | 0.69 (0.18, 2.73) | 0.601 | |||
Type of support (minimum) | 4.21 (0.67, 26.52) | 0.126 | 3.80 (0.52, 27.86) | 0.189 | |||
13. Residents’ worries about getting COVID-19 infection | Gender (male) | 3.35 (0.80, 14.10) | 0.0991 | 3.61 (0.86, 15.18) | 0.080 | ||
Age (≥45 years) | 2.36 (0.86, 6.49) | 0.096 | 2.58 (0.93, 7.11) | 0.070 | |||
Profession (support workers) | 1.64 (0.62, 4.33) | 0.316 | - | - | |||
Leadership role (yes) | 0.70 (0.26, 1.93) | 0.491 | - | - | |||
Years working in MH (≥3 years) | 0.85 (0.25, 2.92) | 0.793 | - | - | |||
Location (outside LMA) | 1.65 (0.42, 6.56) | 0.477 | - | - | |||
Type of support (minimum) | 1.40 (0.22, 8.89) | 0.719 | - | - | |||
Impact of the COVID-19 pandemic on staff and perceived impact on residents | |||||||
7. Feeling less able to do my job than usual because my own well-being has suffered through the stresses of the pandemic | Gender (male) | 2.38 (0.73, 7.77) | 0.151 | 2.37 (0.73, 7.68) | 0.151 | ||
Age (≥45 years) | 1.35 (0.47, 3.88) | 0.576 | - | - | |||
Profession (support workers) | 1.20 (0.43, 3.39) | 0.732 | - | - | |||
Leadership role (yes) | 1.38 (0.48, 3.93) | 0.548 | - | - | |||
Years working in MH (≥3 years) | 2.24e8 (0, Inf) | 0.993 | - | - | |||
Location (outside LMA) | 0.44 (0.11, 1.80) | 0.255 | - | - | |||
Type of support (minimum) | 3.09 (0.58, 16.56) | 0.189 | 2.90 (0.59, 14.33) | 0.191 | |||
14. Relapse and deterioration in mental health of residents triggered by COVID-19 stresses | Gender (male) | 1.74 (0.54, 5.59) | 0.350 | - | - | ||
Age (≥45 years) | 0.51 (0.20, 1.30) | 0.157 | 0.51 (0.20, 1.28) | 0.150 | |||
Profession (support workers) | 0.67 (0.27, 1.68) | 0.390 | - | - | |||
Leadership role (yes) | 0.48 (0.18, 1.30) | 0.148 | 0.39 (0.14, 1.08) | 0.069 | |||
Years working in MH (≥3 years) | 1.51 (0.48, 4.77) | 0.481 | - | - | |||
Location (outside LMA) | 0.41 (0.14, 1.21) | 0.105 | 0.32 (0.10, 1.06) | 0.061 | |||
Type of support (minimum) | 2.06 (0.40, 10.68) | 0.388 |
Work challenges and impact on residents and staff: reference level – not relevant to moderately relevant; gender: reference level – female; age: reference level – <45 years; profession: reference level – technical team; leadership role: reference level – no; years working in MH: reference level – <3 years; location: reference level – LMA; type of support: reference level – moderate to maximum support. All analyses (excluding age) – n = 99; analyses including age – n = 97.
LMA, Lisbon Metropolitan Area; aOR, adjusted odds ratio.
1Statistically significant values.
Relationship between Work Challenges and the Impact of the COVID-19 Pandemic on Staff
Residents no longer getting an acceptable service (OR = 7.04, 95% CI [1.43, 34.65], p = 0.016) and the risk of being infected at work (OR = 7.99, 95% CI [1.39, 45.86], p = 0.020) were significantly associated with the staff feeling less able to do their job than usual because their well-being had suffered (see Table 5).
Variable . | Bivariate . | Multivariable . | ||
---|---|---|---|---|
OR (95% CI) . | p value . | aOR (95% CI) . | adjusted p value . | |
1. Greater workload than usual (very to extremely relevant) | 8.43 (2.79, 25.48) | <0.0011 | 1.26 (0.19, 8.60) | 0.814 |
2. Residents no longer getting an acceptable service due to service reconfiguration because of COVID-19 (very to extremely relevant) | 8.24 (2.79, 24.30) | <0.0011 | 7.04 (1.43, 34.65) | 0.0161 |
3. The risk I or my colleagues could be infected with COVID-19 at work (very to extremely relevant) | 6.72 (2.15, 20.97) | 0.0011 | 7.99 (1.39, 45.86) | 0.0201 |
4. Having to adapt too quickly to new ways of working (very to extremely relevant) | 4.59 (1.57, 13.41) | 0.0051 | 0.47 (0.06, 3.57) | 0.464 |
5 and 6. Lack of PPEs or difficulty in putting infection control measures into practice in the setting I work in (very to extremely relevant) | 3.32 (1.10, 10.04) | 0.0331 | 0.56 (0.09, 3.31) | 0.522 |
8 and 9. Lack of support because of closure of or reduction in community mental health services or other services (very to extremely relevant) | 5.84 (1.71, 19.99) | 0.0051 | 3.52 (0.70, 17.73) | 0.128 |
10. More challenging environment because residents cannot go out and engage in activities as usual (very to extremely relevant) | 1.73e8 (0, Inf) | 0.992 | - | - |
12. Lack of residents’ access to usual support networks of family and friends (very to extremely relevant) | 3.84 (1.24, 11.87) | 0.0201 | 1.46 (0.28, 7.49) | 0.652 |
13. Residents’ worries about getting COVID-19 infection (very to extremely relevant) | 1.12 (0.37, 3.40) | 0.840 | - | - |
Gender (male) | - | - | 1.53 (0.20, 11.98) | 0.684 |
Profession (support workers) | - | - | 1.50 (0.20, 11.49) | 0.698 |
Leadership role (yes) | - | - | 2.60 (0.39, 17.20) | 0.322 |
Years working in MH (≥3 years) | - | - | 1.77e9 (0.00, Inf) | 0.997 |
Location (outside LMA) | - | - | 0.33 (0.06, 1.79) | 0.196 |
Type of support (minimum) | 1.23 (0.16, 9.75) | 0.842 |
Variable . | Bivariate . | Multivariable . | ||
---|---|---|---|---|
OR (95% CI) . | p value . | aOR (95% CI) . | adjusted p value . | |
1. Greater workload than usual (very to extremely relevant) | 8.43 (2.79, 25.48) | <0.0011 | 1.26 (0.19, 8.60) | 0.814 |
2. Residents no longer getting an acceptable service due to service reconfiguration because of COVID-19 (very to extremely relevant) | 8.24 (2.79, 24.30) | <0.0011 | 7.04 (1.43, 34.65) | 0.0161 |
3. The risk I or my colleagues could be infected with COVID-19 at work (very to extremely relevant) | 6.72 (2.15, 20.97) | 0.0011 | 7.99 (1.39, 45.86) | 0.0201 |
4. Having to adapt too quickly to new ways of working (very to extremely relevant) | 4.59 (1.57, 13.41) | 0.0051 | 0.47 (0.06, 3.57) | 0.464 |
5 and 6. Lack of PPEs or difficulty in putting infection control measures into practice in the setting I work in (very to extremely relevant) | 3.32 (1.10, 10.04) | 0.0331 | 0.56 (0.09, 3.31) | 0.522 |
8 and 9. Lack of support because of closure of or reduction in community mental health services or other services (very to extremely relevant) | 5.84 (1.71, 19.99) | 0.0051 | 3.52 (0.70, 17.73) | 0.128 |
10. More challenging environment because residents cannot go out and engage in activities as usual (very to extremely relevant) | 1.73e8 (0, Inf) | 0.992 | - | - |
12. Lack of residents’ access to usual support networks of family and friends (very to extremely relevant) | 3.84 (1.24, 11.87) | 0.0201 | 1.46 (0.28, 7.49) | 0.652 |
13. Residents’ worries about getting COVID-19 infection (very to extremely relevant) | 1.12 (0.37, 3.40) | 0.840 | - | - |
Gender (male) | - | - | 1.53 (0.20, 11.98) | 0.684 |
Profession (support workers) | - | - | 1.50 (0.20, 11.49) | 0.698 |
Leadership role (yes) | - | - | 2.60 (0.39, 17.20) | 0.322 |
Years working in MH (≥3 years) | - | - | 1.77e9 (0.00, Inf) | 0.997 |
Location (outside LMA) | - | - | 0.33 (0.06, 1.79) | 0.196 |
Type of support (minimum) | 1.23 (0.16, 9.75) | 0.842 |
Work challenges and impact of the pandemic on staff: reference level – not relevant to moderately relevant; gender: reference level – female; profession: reference level – technical team; leadership role: reference level – no; years working in MH: reference level – <3 years; location; reference level – LMA; type of support; reference level – moderate to maximum support; n = 99; ICC – 0.33.
LMA, Lisbon Metropolitan Area; aOR, adjusted odds ratio; ICC, intra-class correlation.
1Statistically significant values.
Discussion
SAs’ staff reported several work challenges during the COVID-19 pandemic, which were differently experienced across the professionals. Reporting that residents were no longer getting an acceptable service and the risk of being infected at work were associated with a negative impact on the staff.
A challenging environment due to COVID-19 regulations was the most frequently reported work challenge by the staff. This is aligned with studies reporting an association between restrictions to go out and residents’ distress [14, 15]. In one such study, the promotion of indoor activities helped occupy residents and maintain tranquillity, suggesting that, in future similar situations, this strategy may be helpful [15]. Residents’ worries about COVID-19 infection were also frequently reported by the staff in the present study. Providing simple and understandable accurate information on COVID-19, including practical ways of how residents can protect themselves, may help minimise fears [23]. On the other hand, reassuring SA compliance with safety measures, supporting residents, and limiting exposure to pandemic-related content on TV were adopted helpful strategies described by some authors and, thus, are suggested [15, 18]. Lack of support from community services was also frequently reported in this study. Worldwide, community services were indeed among the most affected mental health services during COVID-19 [3]. In response, many resorted to telemedicine but, frequently, unpreparedness and scarce resources hindered the transition to new technologies, which probably has also occurred in Portugal [3, 24, 25]. To be prepared for potentially similar situations, it seems important to further analyse what hindered the support from community services and what was effective in tackling it. Aligned with what occurred in SAs worldwide due to mandatory lockdowns and visiting restrictions, the lack of residents’ access to usual social networks was another important challenge reported in the current study [14, 15, 17]. Globally, some SAs sought to enable access to family and friends via new technologies, but again, several constraints may have limited this in Portugal. More than a third of the staff in the present study reported having to adapt too quickly to new ways of working, greater workload, and residents no longer getting an acceptable service. This is consistent with what happened in other mental health services worldwide, including SAs, due to staff shortages and unpreparedness [3, 14, 17]. Aligned with other studies in SAs, the staff also reported infection-related worries in the current study [15, 16]. Interestingly, only roughly a quarter reported lack of PPEs or difficulty putting infection control measures into practice. On one hand, given a generalised lack of PPEs at the beginning of the pandemic and that data were collected in 2022, potential recall bias may partly explain these findings [26]. Indeed, half of SAs’ had to ask residents to leave because of infection control issues, raising additional concerns about SAs’ structural conditions. In fact, a previous Portuguese study showed that more than half had no single bedrooms [27]. On the other hand, the observation of COVID-19 consequences in other European countries (e.g., Italy) and fear of uncontrolled contagion influenced the way in which Portugal handled the pandemic [28‒31]. This fostered population compliance with infection control guidelines and contributed to very high vaccination rates in the country [28‒31]. Some useful strategies that Portugal adopted to face the pandemic (some indeed adaptable, at a microlevel, to SAs themselves) were, e.g., adapting the plans previously used to tackle pandemics; articulation between government, parliament, and other stakeholders (such as hospitals, researchers, and media); awareness and prevention campaigns; transparent communication; tackling misinformation and fake news; epidemiological surveillance; rapid updating of guidelines according to scientific evidence; and creating a task force to implement the vaccination plan [28‒31].
Compared with the technical team, support workers reported fewer work challenges. Given that their main task is to monitor residents, it is possible that these did not have to substantially adapt their work nor had the burden of needing to justify the implemented COVID-19 restrictions to residents. Contrary to what was expected, the staff who already worked in mental health before COVID-19 reported more work challenges. It is possible that people who did not work in mental health before did not have any grounds for comparison between work conditions before and after the pandemic. Moreover, these were mostly younger and without children or elderly to take care of, which may have also contributed. Male staff more often reported a lack of PPEs or difficulty in putting infection control measures into practice, and the staff whose SAs were outside the LMA reported fewer challenges. However, the former may be better explained by the fact that most male workers were support workers (90% of male staff vs. 53% of female staff), who usually have closer and lengthier contact with residents; and the latter by the fact that only 16% of staff from outside the LMA had leadership tasks compared to 44% of staff from the LMA, which was associated with certain work challenges in the bivariate analyses.
More than a quarter of the staff reported having felt less able to do their job because their well-being had suffered, consistent with studies reporting a negative impact of the pandemic on HCWs [6‒8, 14, 16, 18]. Unexpectedly, given different staff reported different challenges, there was no difference in the impact of the pandemic across the staff, suggesting that other factors, such as psychological or social factors, may have influenced it. Indeed, studies have associated certain factors, such as poor coping mechanisms and social support, with worse outcomes for HCWs [32, 33]. Reporting that residents were no longer getting an acceptable service and the risk of being infected at work were associated with a negative impact on the staff. This is consistent with two studies in mental health services, in which the staff perceived that the inability to provide appropriate service and continue therapeutic activities during COVID-19 contributed to worse well-being, by causing feelings of powerlessness and increasing stress [16, 34]. The risk of infection has also been associated with a negative impact on HCWs in other countries [7, 16, 34‒36]. Working in crowded places during a respiratory pandemic may comprehensibly cause fears of contagion and negatively impact the staff. Promoting self-care, good-quality communication and information updates, and support mechanisms at the workplace is, thus, suggested [23].
Aligned with some studies in SAs, more than 40% of the staff perceived a negative impact of COVID-19 on residents consisting of relapse and deterioration in their mental health [15, 17, 18]. However, caution is needed when interpreting this, given most participants were support workers, who had no formal education in mental health, and, thus, more studies are suggested.
Some of the implications of our findings for SA management in Portugal may also apply at the international level. Overall, SAs need to be prepared for future pandemics, a difficult endeavour which includes having emergency plans, feasible and adaptable to similar situations; improving housing conditions and ensuring single bedrooms for all (or most) residents; increasing human resources or being able to rapidly hire them; equipping SAs with new technologies and fostering its sensible use; continuously articulating with local health authorities and updating guidelines according to scientific evidence and professional guidance; developing work and personal well-being support mechanisms to staff; supporting residents and providing simple and understandable up-to-date information; and being ready to promote safe indoor activities and social interactions within SAs. For at least some of these recommendations to be possible, especially since most SAs are run by the third sector, governments may need to step in, namely, providing financial and logistic support, and regular audits. Furthermore, the articulation between SAs and health authorities needs to be safeguarded, and formal guidance swiftly provided when needed. Since SAs are structures located in the community, employing and supporting many people, improving their conditions is also important from a broader public health strategy point of view. Implementing some of these measures will not only better prepare SAs for similar situations, but also help improve regular care.
This is one of the very few studies analysing the work challenges of SAs’ staff during COVID-19, and, to our knowledge, the first to analyse the association between work challenges and the staff characteristics and the impact of the pandemic on the staff. It included participants with diverse sociodemographic characteristics from 32 SAs with different types of support and locations. Given SA’s global variation and that most data come from a limited number of countries, or even organisations, having data from various SAs of different countries is fundamental to better comprehend what happened during COVID-19 and prepare for the future. This study also has some limitations. Small sample size affected the precision of some estimates. Despite its rationale, our choice on how to categorise items’ scorings regarding work challenges may have influenced results. Data collection in 2022, 2 years after the beginning of the pandemic, may have led to recall bias. Due to the cross-sectional design, reverse causation between the studied variables cannot be excluded. Finally, given that only the staff participated, aspects specifically related to residents must be interpreted with caution. Future research should focus on what hindered the support from community services, its impact, and effective ways to dealing with this issue. In addition, further analysing the impact of the pandemic on the well-being of residents and the staff using a qualitative approach is suggested.
Conclusion
Several work challenges occurred in SAs during COVID-19, and certain staff characteristics influenced its report, namely, profession and years working in mental health. According to the staff, the pandemic had a negative impact on the staff and the residents. Overall, the implications of our results may include improving structural conditions, increasing financial and human resources, fostering the use of new technologies, enhancing workplace support mechanisms, supporting residents, providing clear and up-to-date information, and promoting safe indoor activities. These implications range from structural and financial to more direct clinical ones and require concerted efforts not only from SA management but also from the authorities.
Acknowledgments
The authors would like to thank all the participants for their contribution. We would also like to thank the support for the accommodations involved for their support.
Statement of Ethics
This study was approved by the Ethics Committee of NOVA Medical School of the NOVA University of Lisbon (172/2021/CEFCM). Written informed consent was obtained from every participant, and data confidentiality was guaranteed.
Conflict of Interest Statement
The authors declare no conflict of interest. Author 4 (AE of the Portuguese Journal of Public Health) did not participate in the review process of this manuscript.
Funding Sources
Funding for this study was provided by Fundação Ciência e Tecnologia, IP national support through CHRC (UIDP/04923/2020). Authors Bárbara Pedrosa, and Ugnė Grigaitė are PhD candidates funded by Fundação para a Ciência e a Tecnologia (FCT) (UI/BD/151072/2021, and UI/BD/151073/2021, accordingly) and author Deborah Aluh is a PhD candidate funded by La Caixa Foundation (LCF/BQ/DI20/1178001).
Author Contributions
Author 1 designed the study, analysed data, and drafted the initial version of the manuscript. Author 2, 4, and 9 supervised the study design. Author 3 was involved in data analysis. All authors contributed to the study design, interpretation of results, and manuscript revision and read and approved the final manuscript.
Data Availability Statement
Data are available to investigators upon request and approval by the principal investigator of the original study.