Patients’ expectations and experiences with a mental health supportive text messaging program: a mixed-methods evaluation (Preprint)

2021 ◽  
Author(s):  
Reham Shalaby ◽  
Wesley Vuong ◽  
Ejemai Eboreime ◽  
Shireen Surood ◽  
Andrew Greenshaw ◽  
...  
Keyword(s):  
Mental Health ◽  
User Satisfaction ◽  
Text Messaging ◽  
Univariate Analysis ◽  
Primary Diagnosis ◽  
Text Messages ◽  
Ethics Research ◽  
Significant Difference ◽  
Acute Psychiatric Care ◽  
The Impact

BACKGROUND Web-based services are economic and easily scalable means of support that use existing technology. Text4Support is a supportive complementary texting service provided remotely to support people with different mental health conditions after they are discharged from the hospital. OBJECTIVE We aimed to assess user satisfaction with the Text4Support service for a better understanding of subscribers’ experiences METHODS This is a mixed-method assessment using quantitative and qualitative secondary data of a pilot observational controlled trial. The trial included 181 patients discharged from acute psychiatric care and distributed into four randomized groups. Out of the four study groups in the initial study, two groups were included in this analysis who received supportive text messages (89 patients), either alone or alongside peer support service. Thematic and descriptive analyses were employed. Univariate analysis was conducted to examine differences in feedback based on sex at birth and primary diagnosis. RESULTS Out of 89 participants, 39 completed the follow-up survey yielding a response rate of 40.4%. The principal findings were that Text4Support was well-perceived with a high satisfaction rate either regarding the feedback of the messages or their perceived impact. Meanwhile, there was no statistically significant difference between satisfactory items based on subscriber’s sex at birth or primary diagnosis. The initial patients’ expectations were either neutral or positive in relation to the expected nature and/or the impact of the received messages upon their mental wellbeing. Additionally, the subscribers were satisfied with the frequency of the messages as provided once daily for six consecutive months. The participants recommended more personalized messages and/or mutual interaction with healthcare personnel. CONCLUSIONS Text4Support was generally well perceived by patients after their hospital discharge, regardless of their sex at birth or mental health diagnosis. Further personalization and interactive platforms were recommended that may need to be considered when designing similar future services. CLINICALTRIAL The study received ethics approval from the Health Ethics Research Board of the University of Alberta (Ref # Pro00078427) and operational approval from Alberta Health Services, the regional health authority. All patients provided written informed consent. The study was registered with clinicaltrials.gov (Trial registration number NCT03404882).

scholarly journals Text-Based Program Addressing the Mental Health of Soon-to-be and New Fathers (SMS4dads): Protocol for a Randomized Controlled Trial (Preprint)

2017 ◽  
Author(s):  
Richard Fletcher ◽  
Chris May ◽  
John Attia ◽  
Craig Franklin Garfield ◽  
Geoff Skinner
Keyword(s):  
Mental Health ◽  
Text Messaging ◽  
Controlled Trial ◽  
Perinatal Period ◽  
Text Messages ◽  
Online Information ◽  
Physical And Mental Health ◽  
Mobile Phone Technology ◽  
Self Confidence ◽  
The Impact

BACKGROUND Recent estimates indicating that approximately 10% of fathers experience Paternal Perinatal Depression (PPND) and the increasing evidence of the impact of PPND on child development suggest that identifying and assisting distressed fathers is justified on public health grounds. However, addressing new fathers’ mental health needs requires overcoming men’s infrequent contact with perinatal health services and their reluctance to seek help. Text-based interventions delivering information and support have the potential to reach such groups in order to reduce the impact of paternal perinatal distress and to improve the wellbeing of their children. While programs utilising mobile phone technology have been developed for mothers, fathers have not been targeted. Since text messages can be delivered to individual mobile phones to be accessed at a time that is convenient, it may provide a novel channel for engaging with “hard-to-reach” fathers in a critical period of their parenting. OBJECTIVE The study will test the efficacy of SMS4dads, a text messaging program designed specifically for fathers including embedded links to online information and regular invitations (Mood Tracker) to monitor their mood, in order to reduce self-reported depression, anxiety and stress over the perinatal period. METHODS A total of 800 fathers-to-be or new fathers from within Australia will be recruited via the SMS4dads website and randomized to the intervention or control arm. The intervention arm will receive 14 texts per month addressing fathers’ physical and mental health, their relationship with their child, and coparenting with their partner. The control, SMS4health, delivers generic health promotion messages twice per month. Messages are timed according to the babies’ expected or actual date of birth and fathers can enroll from 16 weeks into the pregnancy until their infant is 12 weeks of age. Participants complete questionnaires assessing depression, anxiety, stress, and alcohol at baseline and 24 weeks postenrolment. Measures of coparenting and parenting confidence are also completed at baseline and 24 weeks for postbirth enrolments. RESULTS Participant were recruited between October 2016 and September 2017. Follow-up data collection has commenced and will be completed in March 2018 with results expected in June 2018. CONCLUSIONS This study’s findings will assess the efficacy of a novel text-based program specifically targeting fathers in the perinatal period to improve their depression, anxiety and distress symptoms, coparenting quality, and parenting self-confidence. CLINICALTRIAL Australian New Zealand Clinical Trials Registry ACTRN12616000261415; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?id=370085 (Archived by WebCite at http://www.webcitation.org/6wav55wII).

scholarly journals Closing the Psychological Treatment Gap During the COVID-19 Pandemic With a Supportive Text Messaging Program: Protocol for Implementation and Evaluation (Preprint)

2020 ◽  
Author(s):  
Vincent Israel Opoku Agyapong ◽  
Marianne Hrabok ◽  
Wesley Vuong ◽  
April Gusnowski ◽  
Reham Shalaby ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
User Satisfaction ◽  
Text Messaging ◽  
Population Level ◽  
World Health ◽  
Data Set ◽  
Demographic Correlates ◽  
The Impact ◽  
Sms Text Messaging

BACKGROUND Coronavirus disease (COVID-19) has spread globally with far-reaching, significant, and unprecedented impacts on health and everyday life. Threats to mental health, psychological safety, and well-being are now emerging, increasing the impact of this virus on world health. Providing support for these challenges is difficult because of the high number of people requiring support in the context of a need to maintain physical distancing. This protocol describes the use of SMS text messaging (Text4Hope) as a convenient, cost-effective, and accessible population-level mental health intervention. This program is evidence-based, with prior research supporting good outcomes and high user satisfaction. OBJECTIVE The project goal is to implement a program of daily supportive SMS text messaging (Text4Hope) to reduce distress related to the COVID-19 crisis, initially among Canadians. The prevalence of stress, anxiety, and depressive symptoms; the demographic correlates of the same; and the outcomes of the Text4Hope intervention in mitigating distress will be evaluated. METHODS Self-administered anonymous online questionnaires will be used to assess stress (Perceived Stress Scale), anxiety (Generalized Anxiety Disorder-7 scale [GAD-7]), and depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]). Data will be collected at baseline (onset of SMS text messaging), the program midpoint (6 weeks), and the program endpoint (12 weeks). RESULTS Data analysis will include parametric and nonparametric techniques, focusing on primary outcomes (ie, stress, anxiety, and depressive symptoms) and metrics of use, including the number of subscribers and user satisfaction. Given the large size of the data set, machine learning and data mining methods will also be used. CONCLUSIONS This COVID-19 project will provide key information regarding prevalence rates of stress, anxiety, and depressive symptoms during the pandemic; demographic correlates of distress; and outcome data related to this scalable population-level intervention. Information from this study will be valuable for practitioners and useful for informing policy and decision making regarding psychological interventions during the pandemic. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/19292

scholarly journals Closing the Psychological Treatment Gap During the COVID-19 Pandemic With a Supportive Text Messaging Program: Protocol for Implementation and Evaluation

10.2196/19292 ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. e19292 ◽  
Author(s):  
Vincent Israel Opoku Agyapong ◽  
Marianne Hrabok ◽  
Wesley Vuong ◽  
April Gusnowski ◽  
Reham Shalaby ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
User Satisfaction ◽  
Text Messaging ◽  
Population Level ◽  
World Health ◽  
Data Set ◽  
Demographic Correlates ◽  
The Impact ◽  
Sms Text Messaging

Background Coronavirus disease (COVID-19) has spread globally with far-reaching, significant, and unprecedented impacts on health and everyday life. Threats to mental health, psychological safety, and well-being are now emerging, increasing the impact of this virus on world health. Providing support for these challenges is difficult because of the high number of people requiring support in the context of a need to maintain physical distancing. This protocol describes the use of SMS text messaging (Text4Hope) as a convenient, cost-effective, and accessible population-level mental health intervention. This program is evidence-based, with prior research supporting good outcomes and high user satisfaction. Objective The project goal is to implement a program of daily supportive SMS text messaging (Text4Hope) to reduce distress related to the COVID-19 crisis, initially among Canadians. The prevalence of stress, anxiety, and depressive symptoms; the demographic correlates of the same; and the outcomes of the Text4Hope intervention in mitigating distress will be evaluated. Methods Self-administered anonymous online questionnaires will be used to assess stress (Perceived Stress Scale), anxiety (Generalized Anxiety Disorder-7 scale [GAD-7]), and depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]). Data will be collected at baseline (onset of SMS text messaging), the program midpoint (6 weeks), and the program endpoint (12 weeks). Results Data analysis will include parametric and nonparametric techniques, focusing on primary outcomes (ie, stress, anxiety, and depressive symptoms) and metrics of use, including the number of subscribers and user satisfaction. Given the large size of the data set, machine learning and data mining methods will also be used. Conclusions This COVID-19 project will provide key information regarding prevalence rates of stress, anxiety, and depressive symptoms during the pandemic; demographic correlates of distress; and outcome data related to this scalable population-level intervention. Information from this study will be valuable for practitioners and useful for informing policy and decision making regarding psychological interventions during the pandemic. International Registered Report Identifier (IRRID) DERR1-10.2196/19292

Text Messaging as a Mental Health Treatment Intervention: A Corpus-Based Study

2019 ◽  
Author(s):  
Megan Partch ◽  
Cass Dykeman
Keyword(s):  
Mental Health ◽  
Mental Health Treatment ◽  
Text Messaging ◽  
Low Cost ◽  
Statistical Significance ◽  
Text Message ◽  
Treatment Session ◽  
Text Messages ◽  
Health Treatment ◽  
Emotional Tone

Mental health treatment providers seek high-impact and low-cost means of engaging clients in care. As such, text messaging is becoming more frequently utilized as a means of communication between provider and client. Research demonstrates that text message interventions increase treatment session attendance, decrease symptomology, and improve overall functioning. However, research is lacking related to the linguistic make up of provider communications. Text messages were collected from previously published articles related to the treatment of mental health disorders. A corpus of 39 mental health treatment text message interventions was composed totaling 286 words. Using Linguistic Inquiry and Word Count (LIWC) software, messages were analyzed for prevalence of terminology thought to enhance client engagement. Clout, demonstrating the writer’s confidence and expertise, and positive Emotional Tone were found to be at a high level within the corpus. Results demonstrated statistical significance for five linguistic variables. When compared with national blog norms derived from Twitter, Clout, Emotional Tone, and use of Biological terminology were found to be at higher rates than expected. Authenticity and Informal terminology were found at significantly lesser rates.

scholarly journals Quit Experiences among Primary Care Patients Enrolled in a Smoking Cessation Pilot RCT Early in the COVID-19 Pandemic

2021 ◽  
Vol 18 (3) ◽  
pp. 1011
Author(s):  
Andrea A. Joyce ◽  
Grace M. Styklunas ◽  
Nancy A. Rigotti ◽  
Jordan M. Neil ◽  
Elyse R. Park ◽  
...  
Keyword(s):  
Primary Care ◽  
Text Messaging ◽  
Risk Perceptions ◽  
Environmental Changes ◽  
Age Groups ◽  
Text Messages ◽  
Increased Risk ◽  
Primary Care Patients ◽  
The Impact ◽  
At Home

The impact of the COVID-19 pandemic on US adults’ smoking and quitting behaviors is unclear. We explored the impact of COVID-19 on smoking behaviors, risk perceptions, and reactions to text messages during a statewide stay-at-home advisory among primary care patients who were trying to quit. From May–June 2020, we interviewed smokers enrolled in a 12-week, pilot cessation trial providing text messaging and mailed nicotine replacement medication (NCT04020718). Twenty-two individuals (82% white, mean age 55 years), representing 88% of trial participants during the stay-at-home advisory, completed exit interviews; four (18%) of them reported abstinence. Interviews were thematically analyzed by two coders. COVID-19-induced environmental changes had mixed effects, facilitating quitting for some and impeding quitting for others. While stress increased for many, those who quit found ways to cope with stress. Generally, participants felt at risk for COVID-19 complications but not at increased risk of becoming infected. Reactions to COVID-19 and quitting behaviors differed across age groups, older participants reported difficulties coping with isolation (e.g., feeling disappointed when a text message came from the study and not a live person). Findings suggest that cessation interventions addressing stress and boredom are needed during COVID-19, while smokers experiencing isolation may benefit from live-person supports.

scholarly journals A Survey of Marine Coastal Litters around Zhoushan Island, China and Their Impacts

2021 ◽  
Vol 9 (2) ◽  
pp. 183
Author(s):  
Xuehua Ma ◽  
Yi Zhou ◽  
Luyi Yang ◽  
Jianfeng Tong
Keyword(s):  
Rapid Development ◽  
Univariate Analysis ◽  
Local Environment ◽  
Marine Litter ◽  
Social Ecological ◽  
The Social ◽  
Significant Difference ◽  
Valuable Method ◽  
Beach Litter ◽  
The Impact

Rapid development of the economy increased marine litter around Zhoushan Island. Social-ecological scenario studies can help to develop strategies to adapt to such change. To investigate the present situation of marine litter pollution, a stratified random sampling (StRS) method was applied to survey the distribution of marine coastal litters around Zhoushan Island. A univariate analysis of variance was conducted to access the amount of litter in different landforms that include mudflats, artificial and rocky beaches. In addition, two questionnaires were designed for local fishermen and tourists to provide social scenarios. The results showed that the distribution of litter in different landforms was significantly different, while the distribution of litter in different sampling points had no significant difference. The StRS survey showed to be a valuable method for giving a relative overview of beach litter around Zhoushan Island with less effort in a future survey. The questionnaire feedbacks helped to understand the source of marine litter and showed the impact on the local environment and economy. Based on the social-ecological scenarios, governance recommendations were provided in this paper.

scholarly journals POS1189 THE IMPACT OF TELEMEDICINE AND COVID-19 ON A TERTIARY RHEUMATOLOGY SERVICE: A RETROSPECTIVE AUDIT

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 876-877
Author(s):  
W. Zhu ◽  
T. De Silva ◽  
L. Eades ◽  
S. Morton ◽  
S. Ayoub ◽  
...  
Keyword(s):  
Immunosuppressive Therapy ◽  
Univariate Analysis ◽  
Diagnostic Delay ◽  
Cohort Differences ◽  
Phone Calls ◽  
Retrospective Audit ◽  
Common Diagnosis ◽  
Significant Difference ◽  
The Impact

Background:Telemedicine was widely utilised to complement face-to-face (F2F) care in 2020 during the COVID-19 pandemic, but the impact of this on patient care is poorly understood.Objectives:To investigate the impact of telemedicine during COVID-19 on outpatient rheumatology services.Methods:We retrospectively audited patient electronic medical records from rheumatology outpatient clinics in an urban tertiary rheumatology centre between April-May 2020 (telemedicine cohort) and April-May 2019 (comparator cohort). Differences in age, sex, primary diagnosis, medications, and proportion of new/review appointments were assessed using Mann-Whitney U and Chi-square tests. Univariate analysis was used to estimate associations between telemedicine usage and the ability to assign a diagnosis in patients without a prior rheumatological diagnosis, the frequency of changes to immunosuppression, subsequent F2F review, planned admissions or procedures, follow-up phone calls, and time to next appointment.Results:3,040 outpatient appointments were audited: 1,443 from 2019 and 1,597 from 2020. There was no statistically significant difference in the age, sex, proportion of new/review appointments, or frequency of immunosuppression use between the cohorts. Inflammatory arthritis (IA) was a more common diagnosis in the 2020 cohort (35.1% vs 31%, p=0.024). 96.7% (n=1,444) of patients seen in the 2020 cohort were reviewed via telemedicine. In patients without an existing rheumatological diagnosis, the odds of making a diagnosis at the appointment were significantly lower in 2020 (28.6% vs 57.4%; OR 0.30 [95% CI 0.16-0.53]; p<0.001). Clinicians were also less likely to change immunosuppressive therapy in 2020 (22.6% vs 27.4%; OR 0.78 [95% CI 0.65-0.92]; p=0.004). This was mostly driven by less de-escalation in therapy (10% vs 12.6%; OR 0.75 [95% CI 0.59-0.95]; p=0.019) as there was no statistically significant difference in the escalation or switching of immunosuppressive therapies. There was no significant difference in frequency of follow-up phone calls, however, patients seen in 2020 required earlier follow-up appointments (p<0.001). There was also no difference in unplanned rheumatological presentations but significantly fewer planned admissions and procedures in 2020 (1% vs 2.6%, p=0.002). Appointment non-attendance reduced in 2020 to 6.5% from 10.9% in 2019 (OR 0.57 [95% CI 0.44-0.74]; p<0.001), however the odds of discharging a patient from care were significantly lower in 2020 (3.9% vs 6%; OR 0.64 [95% CI 0.46-0.89]; p=0.008), although there was no significance when patients who failed to attend were excluded. Amongst patients seen via telemedicine in 2020, a subsequent F2F appointment was required in 9.4%. The predictors of needing a F2F review were being a new patient (OR 6.28 [95% CI 4.10-9.64]; p<0.001), not having a prior rheumatological diagnosis (OR 18.43 [95% CI: 2.35-144.63]; p=0.006), or having a diagnosis of IA (OR 2.85 [95% CI: 1.40-5.80]; p=0.004) or connective tissue disease (OR 3.22 [95% CI: 1.11-9.32]; p=0.031).Conclusion:Most patients in the 2020 cohort were seen via telemedicine. Telemedicine use during the COVID-19 pandemic was associated with reduced clinic non-attendance, but with diagnostic delay, reduced likelihood of changing existing immunosuppressive therapy, earlier requirement for review, and lower likelihood of discharge. While the effects of telemedicine cannot be differentiated from changes in practice related to other aspects of the pandemic, they suggest that telemedicine may have a negative impact on the timeliness of management of rheumatology patients.Disclosure of Interests:None declared.

Incorporating gout guideline advice into urate reports is associated with reduced hospital admissions: results of an observational study

Rheumatology ◽  
2021 ◽  
Author(s):  
Philip L Riches ◽  
Laura Downie ◽  
Carol Thomson
Keyword(s):  
Hospital Admissions ◽  
Relative Rate ◽  
Primary Diagnosis ◽  
Relative Increase ◽  
Local Data ◽  
Improved Outcomes ◽  
Significant Difference ◽  
Prescription Rates ◽  
The Impact ◽  
Health Boards

Abstract Objective To evaluate the impact of incorporating treatment guidance into reporting of urate test results. Methods Urate targets for clinically confirmed gout were added to urate results above 0.36 mmol/l requested after September 2014 within NHS Lothian. Scotland-wide data on urate-lowering therapy prescriptions and hospital admissions with gout were analysed between 2009 and 2020. Local data on urate tests were analysed between 2014 and 2015. Results Admissions with a primary diagnosis of gout in Lothian reduced modestly following the intervention from 111/year in 2010–2014 to 104/year in 2015–2019, a non-significant difference (P = 0.32). In contrast there was a significant increase in admissions to remaining NHS Scotland health boards (556/year vs 606/year, P &lt; 0.01). For a secondary diagnosis of gout the number of admissions in NHS Lothian reduced significantly (58/year vs 39/year, P &lt; 0.01) contrasting with a significant increase in remaining Scottish health boards (220/year vs 290/year, P &lt; 0.01). The relative rate of admissions to NHS Lothian compared with remaining Scottish boards using a 2009 baseline were significantly reduced for both primary diagnosis of gout (1.06 vs 1.25, P &lt; 0.001) and secondary diagnoses of gout (0.64 compared with 1.4, P &lt; 0.001) after the intervention; however, there was no difference before the intervention. A relative increase in the prescription rates of allopurinol 300 mg tablets and febuxostat 120 mg tablets may have contributed to the improved outcomes seen. Conclusion Incorporation of clinical guideline advice into routine reporting of urate results was associated with reduced rates of admission with gout in NHS Lothian, in comparison with other Scottish health boards.

scholarly journals Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

10.2196/15927 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e15927
Author(s):  
Scott Sittig ◽  
Jing Wang ◽  
Sriram Iyengar ◽  
Sahiti Myneni ◽  
Amy Franklin
Keyword(s):  
Chronic Disease ◽  
Disease Management ◽  
Mobile Health ◽  
Self Efficacy ◽  
Chronic Disease Management ◽  
Text Messages ◽  
Feasibility Trial ◽  
Significant Difference ◽  
Within Subjects ◽  
The Impact

Background Although there is a rise in the use of mobile health (mHealth) tools to support chronic disease management, evidence derived from theory-driven design is lacking. Objective The objective of this study was to determine the impact of an mHealth app that incorporated theory-driven trigger messages. These messages took different forms following the Fogg behavior model (FBM) and targeted self-efficacy, knowledge, and self-care. We assess the feasibility of our app in modifying these behaviors in a pilot study involving individuals with diabetes. Methods The pilot randomized unblinded study comprised two cohorts recruited as employees from within a health care system. In total, 20 patients with type 2 diabetes were recruited for the study and a within-subjects design was utilized. Each participant interacted with an app called capABILITY. capABILITY and its affiliated trigger (text) messages integrate components from social cognitive theory (SCT), FBM, and persuasive technology into the interactive health communications framework. In this within-subjects design, participants interacted with the capABILITY app and received (or did not receive) text messages in alternative blocks. The capABILITY app alone was the control condition along with trigger messages including spark and facilitator messages. A repeated-measures analysis of variance (ANOVA) was used to compare adherence with behavioral measures and engagement with the mobile app across conditions. A paired sample t test was utilized on each health outcome to determine changes related to capABILITY intervention, as well as participants’ classified usage of capABILITY. Results Pre- and postintervention results indicated statistical significance on 3 of the 7 health survey measures (general diet: P=.03; exercise: P=.005; and blood glucose: P=.02). When only analyzing the high and midusers (n=14) of capABILITY, we found a statistically significant difference in both self-efficacy (P=.008) and exercise (P=.01). Although the ANOVA did not reveal any statistically significant differences across groups, there is a trend among spark conditions to respond more quickly (ie, shorter log-in lag) following the receipt of the message. Conclusions Our theory-driven mHealth app appears to be a feasible means of improving self-efficacy and health-related behaviors. Although our sample size is too small to draw conclusions about the differential impact of specific forms of trigger messages, our findings suggest that spark triggers may have the ability to cue engagement in mobile tools. This was demonstrated with the increased use of capABILITY at the beginning and conclusion of the study depending on spark timing. Our results suggest that theory-driven personalization of mobile tools is a viable form of intervention. Trial Registration ClinicalTrials.gov NCT04132089; http://clinicaltrials.gov/ct2/show/NCT004122089

scholarly journals The impact of SARS-CoV-2 transmission fear and COVID-19 pandemic on the mental health of patients with primary immunodeficiency disorders, severe asthma, and other high-risk groups (Preprint)

2020 ◽  
Author(s):  
Fatih Çölkesen ◽  
Oguzhan Kilincel ◽  
Mehmet Sozen ◽  
Eray Yıldız ◽  
Sengul Beyaz ◽  
...  
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Severe Asthma ◽  
Primary Immunodeficiency ◽  
Healthcare Workers ◽  
Depression Scale ◽  
High Risk Group ◽  
Primary Immunodeficiency Disorder ◽  
Significant Difference ◽  
The Impact

BACKGROUND The adverse effects of COVID-19 pandemic on the mental health of high-risk group patients for morbidity and mortality and its impact on public health in the long term have not been clearly determined. OBJECTIVE To determine the level of COVID-19 related transmission fear and anxiety in healthcare workers and patients with primary immunodeficiency disorder (PID), severe asthma, and the ones with other comorbidities. METHODS The healthcare workers and patients with PID, severe asthma (all patients receiving biological agent treatment), malignancy, cardiovascular disease, hypertension (90% of patients receiving ACEI or ARB therapy), diabetes mellitus (42 % of patients receiving DPP-4 inhibitor therapy) were included in the study. A total of 560 participants, 80 individuals in each group, were provided. The hospital anxiety and depression scale ( HADS ) and Fear of illness and virus evaluation (FIVE ) scales were applied to the groups with face to face interview methods. RESULTS The mean age was 49.30 years and 306 (55 %) were female. The FIVE Scale and HADS-A scale scores of health care workers were significantly higher than other groups' scores (p = 0.001 and 0.006). The second-highest scores belonged to patients with PID. There was no significant difference between the groups for the HADS-D score (p=0.07). The lowest score in all scales was observed in patients with hypertension. CONCLUSIONS This study demonstrated that in the pandemic process, patients with primary immunodeficiency, asthma patients, and other comorbid patients, especially healthcare workers, should be referred to the centers for the detection and treatment of mental health conditions.

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