Changes in Mental Health Among People with HIV During the COVID-19 Pandemic: Qualitative and Quantitative Perspectives.

People with HIV (PWH) are at risk for adverse mental health outcomes, which could be elevated during the COVID-19 pandemic. This study describes reasons for changes in mental health among PWH during the pandemic. Data come from closed- and open-ended questions about mental health changes from a follow-up to a cohort study on PWH in Florida during part of the COVID-19 pandemic (May 2020-March 2021). Qualitative data were analyzed using thematic analysis. Among the total sample of 227 PWH (mean age 50.0, 49.7% men, 69.2% Black/African American, 14.1% Hispanic/Latino), 30.4% reported worsened mental health, 8.4% reported improved mental health, and 61.2% reported no change. The primary reasons for worsened mental health were concerns about COVID-19, social isolation, and anxiety/stress; reasons for improved mental health included increased focus on individual wellness. Nearly one-third of the sample experienced worsened mental health. These results provide support for increased mental health assessments in HIV treatment settings.

Introduction

Since the first cases of coronavirus disease 2019 (COVID-19), caused by the novel SARS-CoV-2 virus, were identified in December 2019, life has not been the same for many as social distancing guidelines and mandatory mask orders have been implemented, daily lives have been disrupted, and behaviors and overall health have changed worldwide. Mental health in particular has been significantly impacted by COVID-19 [1]. Studies in Europe have found that quality of life and symptoms of depression and anxiety have worsened among the general population since the start of the pandemic, while the prevalence of mental health problems has increased [2-4]. In the United States, 42% of Americans reported symptoms of depression or anxiety in December 2020 compared with 11% the previous year [5]. There is also evidence that changes in mental health due to COVID-19 may differ by racial/ethnic groups and by gender [6, 7].

People with HIV (PWH) report a higher prevalence of mental health conditions than the general population, and mental health conditions can increase not only the risk for acquiring HIV but also the risk for negative health outcomes at each step along the cascade of HIV care; this includes measures such as being on antiretroviral therapy (ART) and being virally suppressed [8-12]. It is possible that, as in the general population, the COVID-19 pandemic could have severely impacted the mental health of this already susceptible population. PWH might experience negative health outcomes associated with a COVID-19 diagnosis and from pandemic safety measures such as social distancing measures and closed provider offices that may interrupt healthcare access [13-20]. Previous studies have found marked changes in mental health [20, 21] and increases in substance use [22] among PWH during the pandemic. Negative economic consequences of the pandemic have also caused stress and worsened mental health outcomes for some PWH [19, 20, 23]. Additionally, factors that can influence the health and wellness of PWH in normal conditions such as self-efficacy [24], perceived stress [25-27], resilience [28, 29], and social support [30, 31] could have been impacted by the COVID-19 pandemic and indirectly led to changed mental health outcomes [32]. Understanding the impact of individual attributes on mental health in the pandemic could inform interventions aimed at strengthening positive attributes.

Prior studies of COVID-19 have examined changes in mental health and reasons behind the changes; however, they have primarily been surveys without great opportunity for qualitative data collection. For example, an anonymous online survey of PWH in Buenos Aires, Argentina found that the COVID-19 pandemic caused economic disruption, loneliness, reduced ART adherence, and disrupted mental health and substance use treatment for many [23]. Another web-based survey in Turkey found that anxiety and stress increased among PWH during the pandemic, and this was associated with having a preexisting psychiatric disorder, worrying about COVID-19 in the environment, uncertainty about the correct preventive procedures, and having a household member with a chronic disease [21]. Despite existing information about changes in mental health experienced during the pandemic, there are gaps in our knowledge about the exact experiences PWH are having that might influence their mental health and how they do so. Qualitative data from open-ended questions could fill these gaps. Answers from open-ended questions in addition to quantitative survey questions have more detail and nuance than survey responses alone [33]. Open-ended questions can offer opportunities for new, unexpected insights from PWH through providing additional information on reasons for changes in mental and physical health and experiences with barriers to health and well-being. Moreover, to our knowledge there are few studies looking at PWH’s responses to the COVID-19 pandemic qualitatively through open-ended survey responses combined with quantitative survey questions.

Assessing and understanding the aspects of the pandemic that were most responsible for changes in mental health among PWH, and realizing why some PWH are resilient in a crisis and why others struggle, could provide important insights into how to address the current and future health needs of PWH. The objectives of this study are to (1) describe self-reported changes in the mental health of a sample of PWH in Florida due to the COVID-19 pandemic, (2) identify demographic and behavioral variables associated with these changes, and (3) understand the reasons behind these changes through an analysis of open-ended questions. These findings can assist public health programs, clinics, or programs such as Ryan White in offering better support for specific issues that are affecting mental health for their patients with HIV. These findings might also allow researchers and providers to learn from those PWH who do well in public health crises to inform new and existing interventions.

Methods

Study and Study Participants

This study analyzed data from the Marijuana Associated Planning and Long-Term Effects (MAPLE) study, a prospective cohort study with a focus on determining the long-term health effects of marijuana on PWH. As of July 2021, there were 300 PWH enrolled in the cohort. Since October 2018, participants have been recruited through clinics at county Departments of Health, infectious disease clinics, community healthcare centers, and flyers placed in three recruitment settings in Florida. Participants who do and who do not use marijuana are eligible for the study, with planned enrollment targeting three participants who use marijuana for every one participant who does not. At the baseline, each participant completed a survey, a blood test, and a urine test to establish marijuana use status. All participants also received a brief telephone-based follow-up survey every 3 months and an in-person follow-up visit every 12 months. During a peak period of the COVID-19 pandemic, between May 2020 and March 2021, the research team added several additional questions to the existing 3-month telephone-based follow-up that aimed to evaluate changes in mental health. This paper presents the analysis of a sub-cohort of 227 PWH, from the larger cohort of 300 PWH (response rate: 75.7%), who responded to the 3-month follow-up brief telephone survey with questions related to the COVID-19 pandemic. The foci of this analysis are the changes in mental health and the reasons for the changes experienced by this sub-cohort.

Measures

At baseline, collected between 2018 and 2020, all participants completed a survey that assessed their age, sex, race, ethnicity, income, education (scored on a three-tier scale of less than high school, high school or equivalent, and more than high school), and health behaviors such as ART medication usage and adherence, current marijuana use (confirmed with a positive urine test of Tetrahydrocannabinol), and self-reported past-year alcohol use. Baseline depression was measured using the PHQ-8 [34]. In the 3-month follow-up call, age was collected again. The researchers explained that questions in the follow-up pertained to the “coronavirus situation,” the COVID-19 pandemic which was defined as beginning in Florida on March 1, 2020. Self-reported changes in mental health were assessed using the following question: “When considering your mental health, how would you say your mental health has changed since before the coronavirus situation until today?” The answer options were on a Likert scale from “1-much better” to “5-much worse”, with a higher score indicating a worsened degree of mental health. If participants indicated a positive or negative change in mental health, they were asked a follow-up, open-ended question, “What would you say is the main reason for that change?” Participants could give as many reasons as they felt appropriate and as many details as they wished in their response or skip the question entirely, although no participants who indicated a change in mental health skipped the open-ended follow-up question. Only two participants (0.9%) had a positive COVID-19 test and thus COVID-19 diagnosis was not analyzed further in the results.

Analysis

A descriptive analysis of participants’ sociodemographic characteristics and behaviors was done in SAS 9.4 (SAS Institute, Cary NC). Descriptive statistics were calculated to evaluate the frequency of reported changes in mental health and significant differences by key sociodemographic variables were determined using chi-sq/Fisher’s exact or ANOVA depending on the variable and sample size. Additional logistic regression analyses, controlling for variables significantly associated with changes in mental health, were conducted. Two logistic regression models were made to investigate the predictive effects of the significant variables on either a worsening of or an improvement in mental health compared with no change.

Thematic analysis adapted for our data was used for the open-ended questions [35, 36]. Qualitative data from the open-ended question about reasons for changes in mental health were compiled in Microsoft Excel and manually coded by two independent coders using a codebook created by the primary author. Additional codes were generated by the coders as new themes emerged from the participant responses. The coding was done by two independent coders who discussed the codebook before coding began, met after completing the coding to compare results, and reviewed any disagreements before coming to a shared conclusion. Codes were categorized under broader themes to understand reasons for changes in mental health, with separate sets of codes created for people who indicated an improvement in their mental health and those who indicated a worsening of their mental health.

Results

Participant Characteristics

Table 1 presents the study participants’ characteristics. The current average age of the participants was 50.0 years (SD = 11.1). Sixty-one percent of the participants were 50 years or older and 50.2% of the participants were female. Most of the participants were Black/African American (69.1%), followed by White (22.4%), and other race (8.4%). Of the total participants, 14.1% were Hispanic. Over one-quarter (29.1%) had less than a high school education and 70.0% made less than $20,000 per annum. Most of the participants (94.3%) were currently taking ART medication. At baseline, nearly one-third of the sample had mild depression while 27.8% had moderate or severe depression. Additionally, 80.2% of the sample currently used marijuana and 76.2% had past-year alcohol use.

Table 1

Participant characteristics, N = 227

	Total cohort N = 227	Worsened mental healthN = 69(30.4%)	Improved mental healthN = 19(8.4%)	No change in mental healthN = 139 (61.2%)	Chi-Sq or F-test statistic	P-value
Mean age (SD)	50.0 (11.1)	49.8 (10.7)	45.2 (13.5)	50.8 (10.9)	F = 1.15	0.257
Age groups
18–29	14	2 (14.3%)	4 (28.6%)	8 (57.1%)	χ2 = 12.34	0.263
30–39	3	12 (40.0%)	3 (10.0%)	15 (50.0%)
40–49	45	15 (33.3%)	2 (4.4%)	28 (62.2%)
50–59	96	27 (28.1%)	7 (7.3%)	62 (64.6%)
60 and older	42	13 (18.8%)	3 (7.1%)	26 (18.7%)
Gender assigned at birth
Men	113	34 (30.1%)	11 (9.7%)	68 (60.2%)	χ2 = 0.55	0.760
Women	114	35 (30.7%)	8 (7.0%)	71 (62.3%)
Race
White	51	23 (45.1%)	3 (5.9%)	25 (49.0%)	χ2 = 6.83	0.145
Black/African American	157	41 (26.1%)	14 (8.9%)	102 (65.0%)
Other	19	5 (26.3%)	2 (10.5%)	12 (63.2%)
Ethnicity
Hispanic or Latino	32	12 (37.5%)	2 (6.3%)	18 (56.3%)	χ2 = 0.90	0.638
Non-Hispanic or Latino	194	57 (29.4%)	16 (8.3%)	121 (62.4%)
Education
Less than High School	66	15 (22.7%)	3 (4.6%)	48 (72.7%)	χ2 = 11.71	0.020*
Completed High School or Equivalent	77	21 (27.3%)	5 (6.5%)	51 (66.2%)
Greater than High School	84	33 (39.3%)	11 (13.1%)	40 (47.6%)
Income
Less than $5,000	42	15 (35.7%)	3 (7.1%)	24 (57.1%)	χ2 = 4.66	0.589
$5,000-$19,999	117	31 (26.5%)	9 (7.7%)	77 (65.8%)
$20,000-$49,999	59	19 (32.2%)	7 (11.9%)	33 (55.9%)
$50,000 or more	8	4 (50.0%)	0 (0.0%)	4 (50.0%)
Baseline Depression Scores (PHQ-8)
0–4, none/minimal	79	13 (16.5%)	6 (7.6%)	50 (76.0%)	χ2 = 9.00	0.004*
5–9, mild	73	21 (28.8%)	6 (8.2%)	46 (63.0%)
10–14, moderate	35	18 (51.4%)	4 (11.4%)	13 (37.1%)
15 or greater, severe	28	12 (42.9%)	2 (7.1%)	14 (50.0%)
Current ART medication
Yes	214	62 (29.0%)	18 (8.4%)	134 (62.6%)	χ2 = 2.48	0.289
No	12	6 (60.0%)	1 (8.3%)	5 (41.7%)
Current marijuana use
Yes	182	57 (31.3%)	18 (9.9%)	107 (58.8%)	χ2 = 3.69	0.158
No	45	12 (26.7%)	1 (2.2%)	32 (71.1%)
Past-year alcohol use
Yes	173	55 (31.8%)	16 (9.3%)	102 (59.0%)	χ2 = 1.75	0.417
No	54	14 (25.9%)	3 (5.6%)	37 (68.5%)

Ns in each of the categories might not add up to 227 due to missing data

*Significant differences between groups (p < 0.05) were detected by chi-square test for categorical variables and F-test for continuous variables

Sixty-nine participants (30.4%) indicated their mental health worsened due to the pandemic compared with 19 (8.4%) who indicated improvement and 139 (61.2%) who reported no change. Beyond baseline depression measured by PHQ-8 score (p = 0.004) and education level (p = 0.020), there were no statistically significant differences in changes in mental health by baseline characteristics. Over half of those with moderate depression experienced worsened mental health compared with 42.9% of those with severe depression, 28.8% of those with mild depression, and 16.5% of those with minimal or no depression. Nearly 40% of those with greater than a high school education experienced worsened mental health compared with only 27.3% of those with a high school education and 22.7% of those with less than a high school education.

Levels of education and depression had a significant predictive relationship in the logistic regression models. Having more than a high school education was associated with increased odds of reporting worsened mental health (odds ratio: 3.47, 95% confidence interval 1.52–7.90, χ2: 8.77, p = 0.003), rather than no change in mental health; having less than a high school education was not significantly associated with worsened mental health. Similarly, having mild (OR: 2.29, 95% CI 1.02–5.17, χ2: 3.98, p = 0.046), moderate (OR: 8.00, 95% CI 3.00–21.31, χ2: 17.30, p < 0.001), or severe depression (OR: 4.15, 95% CI 1.51–11.38, χ2: 7.65, p = 0.006) compared with having no or minimal depression was also associated with increased odds of reporting worsened mental health. Participants with more than a high school education had increased odds of reporting improved mental health, rather than no change in mental health, compared with those who had less than a high school education (OR: 5.72, 95% CI 1.34–24.44, χ2: 5.55, p = 0.019), as did those with moderate depression (OR: 4.88, 95% CI 1.07–22.24, χ2: 4.20, p = 0.040) compared to those with no or minimal depression. These results can be seen in the Supplementary materials (Supplementary Tables I and II).

Reasons for Changes in Mental Health

Worsened Mental Health

Table 2 describes the codes and the frequency of reasons for worsened health among the study participants. Sixty-nine participants (30.4%) indicated that their mental health worsened; however, the reasons as to why mental health worsened varied. Over one-quarter of participants indicated that their mental health worsened because of worrying about their risk or a loved one’s risk of contracting COVID-19. Some participants had public-facing jobs that required them to interact with the public, creating more opportunities for COVID-19 exposure which caused constant worry leading to worsened mental health. Other participants expressed concerns about whether COVID-19 was real or if it was a conspiracy theory.

Table 2

Coding framework and frequency of reasons for worsened mental health (n = 69)

Theme	Code	Definition	N (%)
Maintaining Health	Health Concerns	Health concerns related or due to a non-COVID health condition	3 (4.3%)
	Medical Care or Medication Adherence	Changes in medical care or treatment, medical care access changes, or medication/adherence changes	4 (5.8%)
Activities	Exercise and Activities	Changes in the ability to partake in regular hobbies, activities, or exercise	5 (7.2%)
Family	Caring for Loved Ones	Caring for loved ones or friends	1 (1.4%)
Emotion	Anxiety/Stress	Anxiety/nervousness or stress, or being unable to relax or calm down	23 (33.3%)
	Anger	New or changed feelings of anger of frustration	3 (4.3%)
	Fear	Feelings of fear	4 (5.8%)
	Sadness	Sadness or self-described depression	11 (15.9%)
Social Factors	Isolation	Social distancing and isolation; also described as feeling lonely	19 (27.5%)
	Paranoia/Worries About Other People	Worries about coming into contact with other people or self-described paranoia	6 (8.7%)
	Know People Who Died	Knowing people who died and associated feelings of grief and loss	3 (4.3%)
	Loved Ones	Changes in social support or not being able to see friends and family	6 (8.7%)
Life Events	Life Events	Negative or cancelled life events	2 (2.8%)
	Career	Concerns about career or a change in employment status	5 (7.2%)
	Cabin Fever	Feeling trapped or confined at their lockdown location	8 (11.6%)
	Money	Financial changes or problems	5 (7.2%)
Productivity	Productivity	Changes in motivation, productivity, and/or focus	1 (1.4%)
Virus Exposure	Virus Exposure	Worries about virus exposure and/or the effectiveness of virus safety measures	9 (13.0%)
Preexisting Mental Health Condition	Mental Health Condition	New or pre-existing mental health condition	7 (10.1%)
Worrying About COVID-19	Worrying About COVID-19	Worrying about the pandemic, getting COVID-19, or loved ones getting COVID-19	19 (27.5%)
Increased Substance Use	Increased Substance Use	Increased substance use during the pandemic	1 (1.4%)

N does not sum to 69 because people could give multiple reasons why their mental health worsened

“Since I had to go back to work [at a coffee shop], I started to see a lot of people, and deal with a lot of people, especially homeless people who are becoming more concentrated in the location where I work after the coronavirus, and I have to deal with vandalism and customer services. This all has made me very stressed.” (51-year-old White woman)

“I am more paranoid mostly about getting COVID or if it is even real.” (36-year-old Black and Hispanic woman)

Additionally, 13.0% of participants felt that their risk of COVID-19 exposure was beyond their control. Some cited a lack of trust in their community members to follow COVID-19 guidelines, such as social distancing and wearing masks. Some participants also believed the COVID-19 guidelines would not protect them from COVID-19, instilling a sense of hopelessness that worsened their mental health.

“It feels like the community is not taking COVID seriously like with wearing masks.” (25-year-old White and Hispanic man)

“I am irritated more now especially with the back and forth on masks, we have to wear them and then don’t have to wear them. I believe masks will not help. They aren’t effective and it’s like putting pants on to cover up a fart. They won’t prevent the virus from coming in.” (55-year-old multiracial man)

Worries about contracting COVID were often cited alongside PWH’s beliefs that they were at higher risk for COVID-19. Some were unsure whether their HIV status would put them at greater risk for contracting COVID-19 or developing complications. About 6% of participants expressed trouble with their medical care or access, or limited knowledge about accessing care with the COVID-19 restrictions, that worsened their mental health.

“I am concerned because I am immunocompromised, so I am worried about being around others and going out.” (46-year-old Black woman)

“I do not know how to go about going to the doctor’s office.” (56-year-old Black woman)

Adding to these concerns, many PWH were unable to adhere to their medication or receive their regular care. Others had another comorbid condition they were unable to receive regular or proper care for that put them at enhanced risk for negative COVID outcomes. One participant also stated that while telehealth and phone appointments were available for them to receive their usual care, those appointment methods were not ideal for them due to the anxiety they caused.

“Instead of being seen in person, an ARNP changed my medication and was not as thorough as my usual provider, causing the removal of my medication.” (51-year-old multiracial female)

“My psychiatrist wants to talk over the phone which gives me panic attacks.” (25-year-old White Hispanic man)

Seven participants had preexisting mental health conditions that were exacerbated by pandemic conditions.

“I am bipolar and experiencing a lot of anxiety and a lot more downs.” (52-year-old Black woman)

“I generally suffer from depression, I have been isolating myself even before the coronavirus problem started. Lately, there has been a lot of negativity surrounding me, and people are becoming unraveled, the problem of the pandemic, politics, and a lot of crazy stuff going on, people are weird. I even left Facebook.” (51-year-old White woman)

Many expressed concerns about the wellbeing of family and friends, since they could not meet or check in with them regularly. Others lost their loved ones and were feeling sad from their loss.

“I am worried, I haven’t been able to see my sister.” (71-year-old White man)

“I am taking it one day at a time. My mother passed away last week.” (52-year-old Black woman)

Five participants experienced worsened mental health due to being unable to make their ends meet financially. This may have been because of unexpected medical or other expenses that they were experiencing during the pandemic. Additionally, five people indicated that a change in their career status, such as suddenly losing their job or being furloughed, worsened their mental health.

“I am not able to make ends meet with no work.” (33-year-old Black woman)

“I am not working and staying at home. It is mainly because of the loneliness, and money issues. It has affected me emotionally, I feel stressed, and it just goes along with my depression.” (25-year-old White man)

Staying in was another prominent factor that reportedly worsened mental health for the participants. Being isolated at home with “cabin fever” and in general having to stay away from others contributed to worse mental health for eight participants. Not being able to do usual activities that brought the participants joy or helped them maintain their mental and physical health, such as going to the gym, religious gatherings, or meeting with friends in person also worsened mental health for five participants.

“I go in a room and stay by myself because of worries of bringing COVID back to my family.” (63-year-old Black man)

“I usually go to the gym quite frequently and have not been able to and can feel it affected my mind.” (57-year-old White man)

One participant reported that having their kids at home and out of school, along with the increased responsibilities of remote learning, led to increased feelings of stress.

“I have 5 kids and they are not having social interactions with peers; they are not able to do the activities they used to do. Some of them are reverting, and I have a kid who is on the autistic spectrum. This change in my kids’ schedules is causing me a lot of stress because I need to be in charge of their education, and I am trying to find some activities for them to do safely. It is tough to be responsible for teaching, especially for my kid who is on the autistic spectrum, and I myself had difficulties in learning while growing up, so it is harder for me to teach my children. Because I am worried about a wave of people testing positive … when schools open, I decided to keep my kids at home for the first 9 weeks of school. It is a very stressful situation.” (32-year-old White woman)

Improved Mental Health

Table 3 describes the frequency of reasons for improved health among the study participants. Nineteen participants (8.4%) indicated that their mental health improved during the pandemic. Many said that this was because of the stay-at-home orders that required them to stay home, which gave them an opportunity to do activities that brought them joy or engage in other coping mechanisms.

Table 3

Coding framework and frequency of reasons for improved mental health (n = 19)

Theme	Code	Definition	N (%)
Maintaining Health	Health Conscious	Increased health awareness and activities	8 (42.1%)
	Medical Care or Medication Adherence	Improved medical care or treatment, medical care access changes, or medication/adherence changes	3 (15.8%)
Activities	Exercise and Activities	Increased participation in hobbies, activities, or exercise	2 (10.5%)
Social Support	Social Support	Changes in social support. They may have improved or reduced social support	1 (5.2%)
Coping	Coping	Changes in perspective, spirituality, or life outlook	3 (15.8%)
	Knowledge	Improved knowledge of COVID-19 and safety practices. They may feel comforted by their knowledge of COVID-19 and precautions	2 (10.5%)
Life Events	Life Events	Experiencing positive life events or celebrations	2 (10.5%)
Productivity	Productivity	Improvements in mental health due to changes in work, motivation, productivity, and/or focus	4 (21.1%)
Staying In	Staying In	Feeling good due to social distancing/isolation, staying in, and/or being away from others	3 (15.8%)
No Reason	No Reason	Generally feeling better without a specific reason	1 (5.2%)

N does not sum to 19 because people could give multiple reasons why their mental health improved

“For a while, I wasn’t working because of COVID, so I had more time for myself. I took a little break. I had more time to sleep more, relax, and I started journaling because I have more time.” (24-year-old Black woman)

“I am doing more artwork, and staying in.” (60-year-old White man)

Many indicated that the pandemic made them more mindful. Several participants also indicated that they felt comfortable with their knowledge about COVID-19 health and safety measures and their ability to follow them, which made them feel safer and more in control of their living situation during the pandemic.

“I am more aware of my body daily, what I do to it, and what I put in.” (25-year-old Black man)

“Everyone is talking to us and giving us information about different ways to protect our health. I feel like I am ready and have the knowledge needed. COVID information is making things less stressful.” (52-year-old Black man)

Some participants reported that renewed faith and religiosity helped not only with coping but also with improving their outlook on life and overall mental health.

“This [the pandemic] has given me a lot more spiritual strength and belief.” (59-year-old Black man)

Additionally, others indicated that, while they may have had worse mental health at the start of the pandemic, they have adapted to the situation and now feel their mental health is better than it was at the beginning of or even before the pandemic. A few participants also indicated that their resilience or a “new perspective” led to improved mental health overall.

“I am more relaxed and at peace with the COVID-19 situation.” (54-year-old White and Hispanic man)

“I am adapting to new perspectives due to coronavirus.” (27-year-old multiracial Hispanic man)

Several participants also experienced significant social support or various positive experiences such as finding a new partner or celebrating important anniversaries and birthdays, which brought them joy.

“I have better support. I found a new partner.” (37-year-old Black woman)

“I celebrated my 20th anniversary with my husband.” (43-year-old White woman)

Discussion

This study aimed to understand the changes in mental health experienced by a cohort of PWH in Florida due to the COVID-19 pandemic and the reasons behind those changes. The information from this study adds to previous research with this sample that quantitatively examined changes in mental health and its associated factors [37] by providing much-needed context to the reported changes in mental health. To the best of our knowledge, this is the first study using open-ended questions and combined quantitative and qualitative methods to explore how the COVID-19 pandemic has impacted mental health in PWH. Our findings on the underlying reasons for mental health changes in PWH can potentially inform interventions that aim to improve mental health among this population.

This study found that, while over 30% of the sample experienced worsened mental health, there was no significant difference in the frequency of changes in mental health by age, race, ethnicity, gender, income, or alcohol or marijuana use status, factors that had great potential to be associated with changes in mental health. The only significant differences, controlled for in additional logistic regression analyses, were that people with greater than a high school education and those who had moderate depression were more likely to experience improved mental health while those with greater than a high school education and those with any level of depression (mild, moderate, or severe) were more likely to experienced worsened mental health. It is interesting that those with greater than a high school education and those with moderate depression were more likely to experience any change in mental health, worsened or improved. Perhaps these populations are more likely to be aware of their mental health status and report a change, or experienced stressful situations differentially.

The results of this study support previous findings in the literature, using a variety of methods, about reasons why PWH have experienced changes in mental health. For example, participants reported worrying about COVID-19 [23, 38, 39], not trusting information about COVID-19 or following preventive protocols [40, 41], reduced access to healthcare [19, 42], worsening of psychological symptoms such as anxiety and depression [1, 38, 42, 43], isolation and a lack of social support [39, 44–46], not being able to do regular and meaningful activities [47, 48], worrying about themselves or loved ones [21, 49], and financial difficulties [19, 50] as reasons why they experienced worsened mental health, all of which have been tied in the literature to the COVID-19 pandemic among both the general population and PWH. Of note, while some issues noted in the literature and by the PWH in this study might have unique causes or consequences for PWH such as reduced viral suppression, the concerns cited most often by PWH in this study apply to the general population as well. This shows that while PWH do have unique health concerns, the experiences they had during the pandemic and corresponding changes in mental health were largely like anyone else’s. This shows potential for being targeted for interventions not only at HIV care centers but at primary care and general community or online locations as well.

A strength of this study is that the open-ended questions allowed for more particular reasons for changes in mental health to be stated by the participants. For example, participants in this study reported that being isolated from specific locations such as the gym or church worsened their mental health, rather than just discussing general disruptions to their routine. These also give more concrete targets for future interventions; perhaps increasing access to online church services or workout classes, or social-distancing safe meetups with community members from those locations, could help PWH in similarly isolating and disruptive public health crises.

Findings from this study also highlight the factors that contribute to improved mental health among PWH during the pandemic. The most frequently mentioned factors that brought happiness and calmness among the participants were having adequate social support, occurrence of a positive life event, using the pandemic as an opportunity to focus on their health and wellbeing, pursuing activities they enjoy or have wanted to be involved in, turning to their faith, and becoming overall more resilient. This supports evidence in the literature that found that higher resilience reduced the impact of the COVID-19 pandemic on mental health among PWH [23].

A common theme that arose in the analysis was the differentiation between things that participants could control and things they could not control. Many of the items that people said worsened their mental health were beyond their individual control, while those who stated improved mental health often cited increasing their resilience, engaging in mindfulness practices and activities that brought them joy, or focusing on positive events in their lives. This may have contributed to an increased sense of control in their lives, even though those participants likely dealt with similarly stressful items as those with worsened mental health. Further research with those who improved or simply maintained their mental health during the pandemic could provide insight into effective strategies for individuals to stay well in stressful situations such as the COVID-19 pandemic and beyond.

These findings highlight the importance of a clear understanding regarding the factors that improve resilience and improve mental health among PWH during public health emergencies and future pandemics. It might be advised that for future public health emergencies, services that improve mindfulness and resilience should be more accessible to PWH, and perhaps be connected to them through services they already use such as their primary care or HIV provider. It might also be recommended that PWH stay involved in activities they enjoy and/or they recognize as being critical to maintaining their mental health, whether that be exercise, art, faith-related activities, or staying connected with their friends through whatever medium possible, even if they are not able to maintain it to the extent they are used to or must complete it from their home. For example, programs that aim to safely connect PWH to others in their social network, perhaps via technology, to prevent loneliness and isolation could be impactful for this population, as could interventions such as online workout or hobby groups that allow people to do activities they enjoy and relieve stress. Mindfulness interventions that aim to improve people’s attention and awareness to their present experience have been shown to reduce incidence of depression and other psychological symptoms and improve the quality of life among PWH [51], and this could be an impactful intervention to improve mental health among PWH during public health emergencies. Involving PWH’s regular providers, who likely have the best understanding of their patients’ individual needs could help in this effort. Telemedicine has become a valuable tool in the pandemic for treating PWH by greatly enhancing healthcare access [52-54]. In general, telemedicine has had high clinician support throughout the pandemic [55], providing more potential feasibility and sustainability for regular use during and after the pandemic. However, as one participant in this study noted, telemedicine might not be a viable option for those who have anxiety about communicating on the phone or via videocall. Keeping people engaged in their healthcare by the method most preferable and accessible to them can improve both physical and mental health outcomes, as it can help people stay in their routines and have regular contact with others.

Limitations

While a strength of the study was the wide coverage from participants around Florida, many participants were recruited for the study at clinics and other healthcare locations. This, as well as the fact that these participants have agreed to partake in a long-term cohort study, means that this sample could be more attuned to their healthcare and health needs and have improved health outcomes compared with the general PWH population or PWH who are not in regular care. To improve this limitation in future research using this cohort, the research team is making concerted efforts to recruit participants who are underrepresented and who might not have regular access to care.

Additionally, while our response rate of 75.7% was high, there could be a representativeness issue if those who did not respond were experiencing disproportionately worsened, improved, or maintained mental health. We would not know the experiences of these participants without their responses, and in the regularly scheduled upcoming follow-up sessions the research team will aim to successfully recruit these participants.

Depression was measured by an objective baseline item and changes in mental health were measured as a subjective single item, and not as a formal objective change in scores over time. Later, during the next cycle of follow-ups, we will have data that will allow us to compare the scores on depression before and after the pandemic and further investigate changes in mental health, but at this point, only baseline information and 3-month follow-up information exist.

The questions used in this study were written in May 2020, before the COVID-19 vaccine was available to the general public. Due to this, the survey questions do not ask about vaccines and issues surrounding vaccine uptake and hesitancy. Future studies with this population could examine this serious topic, as vaccine hesitancy remains a primary barrier to ending the COVID-19 pandemic.

Finally, this was not a formal qualitative interview, but a single open-ended question following a Likert-scale type question on subjective changes in mental health. Therefore, we lack comprehensive understanding of the spectrum of reasons that people might have had worsened mental health and only know the primary reasons that the person first thought of during the interviews. With a full interview, we might have gotten richer details on the participants’ experiences, setbacks, and triumphs. Future research involving more in-depth qualitative interviews could provide more information to fill the gaps in our knowledge.

Conclusion

The COVID-19 pandemic has had a substantial yet varied impact on the mental health of PWH for a range of reasons. Over 30% of a sample of PWH in Florida said that their mental health worsened during the pandemic, while a small but not negligible percentage (8.4%) said their mental health improved. Understanding the reasons behind both worsened and improved mental health in this population can provide specific targets for potential interventions to maintain or even improve mental health among PWH in public health emergencies.

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 13 kb)

Supplementary file2 (DOCX 13 kb)