Tele-Mindfulness Program for Mental Health in Previously Hospitalized COVID-19 Patients: A quasi-experimental study

Abstract

Background:

Nearly half of subjects after COVID-19 still experience symptoms after 12 weeks, as described in the Post-Covid Syndrome (PCS). Other than the physical alterations perceived, mental health disorders have been frequently reported. Mindfulness-Based Interventions (MBIs) showed beneficial effects on psychological well-being in patients with respiratory dysfunctions, but they have been rarely tested in severe COVID-19 survivors.

Objective:

In a quasi-experimental study, test the clinical and psychological effects of a 12-week Tele–MBI in previously hospitalized COVID-19 patients and analyze the feasibility of the intervention.

Methods:

Subjects earlier hospitalized due to COVID-19 were enrolled 12 weeks after the infection onset, they were assigned to the intervention group (TG) or to the control one (n-TG). Subjects enrolled in the TG attended a 12-week home-based T-MBI and patients of both groups received multimodal rehabilitation interventions according to their own therapeutic needs. Mental health (anxiety, depression, post-traumatic stress disorder (PTSD) symptoms, sleep quality, self-efficacy, and resilience) and quality of life were detected before and after treatment. The feasibility of the T-MBI applied was also investigated.

Results:

A total of 88 subjects were included (44 in the TG and 44 in the n-TG; 63.6% males, mean age 64.4 ± 10.6). Most characteristics were similar between groups at the baseline; TG patients showed greater improvements in different psychological metrics (anxiety, depression, PTSD, resilience, and self-efficacy) compared to n-TG while no differences were found for perceived quality of life. T-MBI was well-accepted by patients.

Conclusion:

Tele-Mindfulness program seems effective in reducing anxiety, depression, and post-traumatic stress disorder symptoms and increasing resilience and self-efficacy in subjects who required hospitalization due to COVID-19.

Keywords

Mindfulness psychological well-being mental health COVID-19;tele-rehabilitation

Introduction

Since the pandemic outbreak in March 2020, more than 26 million subjects in Italy have been infected by SARS-CoV-2,¹ which has been considered the first Western country to be critically affected by COVID-19.² Other than severe clinical conditions that can arise in the acute phase,^3,4 recent evidence proved that nearly 1 in 2 people still experience symptoms after 12 weeks from the infection onset, the so-called Post Covid Syndrome (PCS).⁵

Various adverse persistent effects have been frequently reported concerning the physical domain, such as fatigue, dyspnea, and pain.⁶ Other than the sustained physical alterations perceived, psychological disorders have been described by subjects with PCS: anxiety, depression, and Post-Traumatic Stress Disorder (PTSD) symptoms have been frequently noticed so far,^5,7,8 similar to what was observed in patients recovered from other Coronavirus diseases.⁹ The psychopathological origin of PCS seems multidimensional and related to infective factors and is partially caused also by psychological stressors. Biologically, anxiety and depression could be elicited by a non-resolution of physical symptoms (fatigue, pain, and dyspnea) and their consequences on activities of daily life.¹⁰ Moreover, infective effects on immune response and neuroanatomical structure may contribute to justifying the presence of neuropsychiatric alterations.^11,12 In addition, the pandemic socioeconomic impact further worsens mental health in COVID-19 survivors (ie, future uncertainty, traumatic memories, social isolation, and stigma).⁸

Across psychological approaches potentially useful for alleviating anxiety and depressive symptoms related to COVID-19, Mindfulness-Based Interventions (MBIs) have been tested.^13,14,15 Mindfulness consists of meditation practice with “paying attention, on purpose, moment-to-moment, in a way that is nonjudgmental and nonreactive.”¹⁶

MBIs have shown positive effects on depression, anxiety, stress, and prosocial behavior, providing promising results also on chronic pain.¹⁷ Concerning the effectiveness of MBIs in adults with respiratory dysfunctions, positive psychological consequences have been described in asthma and chronic obstructive pulmonary disease patients,^18,19, even if the high heterogeneity reported in terms of treatment applications makes it difficult to have clear indications about the suggested intervention modalities.²⁰

Particularly, MBIs showed benefits on mental health due to COVID-19 pandemic for anxiety, depression, and stress perception but its effectiveness has been investigated mostly in the general population and rarely in COVID-19 subjects.^13,14,15 Specifically, in COVID-19 patients a few applications have been analyzed. Wei in 2020²¹ and Shayghan in 2021²² conducted 2 Randomized-Controlled Trials (RCTs) which revealed an improvement in mental health in hospitalized patients after a 2-week tele-Mindfulness intervention. Indeed, Mindfulness Meditation seems effective in managing post-viral fatigue (such as PCS, Myalgic Encephalitis, and Chronic Fatigue Syndrome),²³ a key factor in COVID-19 recovery due to its relation to late-onset pain, and psychological well-being.²⁴ However, MBIs have been poorly investigated in severe COVID-19 survivors, and information on their effect in this cohort is still inconclusive.

MBIs represent a viable way to treat patients, especially in pandemic situations thanks to the possibility of delivering interventions remotely, or for pursuing therapies in case of isolation caused by clinical conditions or socio-environmental limits. Thus, online MBIs are a cost-effective means for maximizing subjects’ treatments. In fact, internet-delivered MBIs can effectively reduce waiting lists and are less costly both for patients and clinicians,²⁵ and are promising for the continuum of care in mental health therapies.

For these reasons, this quasi-experimental study is aimed to test the clinical and psychological effects of a 12-week Tele-MBI (T-MBI) in previously hospitalized COVID-19 patients, analyzing the feasibility of the intervention applied.

Methods

This quasi-experimental study was conducted at the Ferrara University Hospital between June 2020 and December 2021; it has been approved by the local Ethical Committee (code EM66-2022_539/2020/Oss/AOUFe_EM1) and previously registered on ClinicalTrials (NCT04615390).

Subjects’ enrollment

We enrolled COVID-19 survivors after their discharge from the hospital units. We considered eligible patients responding to the following criteria at the time of enrollment: (1) age over 18 years; (2) diagnosis of COVID-19 (WHO criteria²⁶) that required an hospitalization; (3) neuromotor and/or pulmonary rehabilitation treatment during the hospital acute stay; (4) cognitive ability to provide informed consent to study inclusion; (5) absence of severe cardiopulmonary, hepatic, or renal conditions that can prevent them from participating in the study; and (6) no pregnancy.

After 12 weeks from the infection onset, thus following the hospital discharge, all subjects who responded to the previously described demographic and clinical characteristics have been reached out by the clinical research team and enrollment in the present study has been proposed. Patients were asked to participate in a 12-week asynchronous T-MBI program, as a part of a multidimensional integrated rehabilitation intervention. Patients who refused or did not have the chance to accept the intervention (ie, unfamiliarity with technology, absence of internet connection, lack of interest in the intervention or of a caregiver who could support the program execution) were considered as a control group (n-TG), after matching them for sex and age (accepting a range of ±5 years) to the subjects enrolled in the experimental one (TG).

Indeed, due to the pandemic situation caused by COVID-19 in our healthcare system structuring and conducting a Randomized Controlled Trial (RCT) was not possible, neither ethically appropriate.

T-MBI intervention

The T-MBI program consisted of an asynchronous set of meditation voice messages created and sent by a licensed and trained psychologist via WhatsApp for 12 weeks. The first day of meditation was guided by the psychologist for nearly 30 minutes, while in the following days, subjects were free to follow the T-MBI audio received (5-25 minutes); supervision was provided by the same psychologist through phone calls and text messages once a week or in a face-to-face modality when needed.

The T-MBI was based on recognized mindfulness practice programs, such as mindfulness-based cognitive therapy (MBCT) and mindfulness-based stress reduction (MBSR).²⁷ Throughout the entire T-MBI intervention patients were asked to take a “non-judgmental attitude, observing and accepting one’s own experiences and action in the present moment.”²⁸ The goal was promoting awareness and acceptance, focusing on own’s breath being careful on mind’s wanderings. Further details on the T-MBI applied are available in Table 1.

Table 1.

Detailed description of T-MBI practice applied.

Body scan session	Participants lay on their backs and were instructed to focus on individual body parts, systemically starting from their toes and ending with their heads.
Mindfulness of breath	Participants were asked to be aware of breathing and the associated bodily sensations.
Mindfulness of thoughts	Participants were guided to become aware of their thoughts and watch them rise and pass by while creating a sense of distance and avoiding passing judgment. All exercises were developed to teach participants to focus on breathing, bodily sensations, and external stimuli as a technique for returning to the present time whenever their minds begin to wander. This helps to cultivate awareness and promote more adaptive thinking patterns besides helping participants become more aware of their mental activity and encouraging them to see thoughts as the products of that activity, rather than accepting them as facts.
Meditation on difficult emotions	Participants were asked to recognize and label their own emotions, anchoring them to the body, then softening into that location of the body, acknowledging and allowing the discomfort to be there, but finally letting love in to help alleviate the suffering.
Mountain meditation and meditation on sounds	These are soothing practices; participants were encouraged to seek inner stability and peace, even in the face of unpredictable events.
Forgiveness meditation	It was used to elicit feelings of forgiveness and self-compassion in participants.
Loving-kindness meditation	Participants were asked to focus on cultivating and developing feelings of kindness and love toward self, others, and ultimately toward all beings.

Rehabilitation interventions

Subjects of both groups during the 12 weeks of observation undertook rehabilitation therapies according to the clinical needs pointed out by the physician during the hospital stay and lasted even after discharge. The wide range of clinical treatments included physiotherapy exercises, cardiopulmonary rehabilitation programs, and home physical activity advice.

Outcomes

At the subjects’ enrollment, thus after 12 weeks from infection onset, a series of demographic (age, gender, marital, and working status) and clinical information (length of stay, intensive care unit access, symptoms onset timing, disease severity according to WHO criteria,²⁶ functional status through 6 Minute Walk Test, and 5 Times Sit to Stand Test) were collected by the clinical research team.

Besides, a set of clinical tools aimed to analyze the main psychological areas were administered at subjects’ inclusion (T0) and after 12 weeks (T1) (that means after nearly 26 weeks from the beginning of infection), thus, right after the end of the T-MBI program for the patients involved in the TG.

- We focused on anxiety and depression as primary outcomes, assessed through the Italian version of the Beck Anxiety Index (BAI)²⁹ and of the Patient Health Questionnaire-9 (PHQ-9),³⁰ respectively. Both for BAI and PHQ-9, increased scores are related to worse symptom severity.

- To deeply investigate the mental health status of COVID-19 survivors involved, we also assessed post-traumatic subjective distress (PTSD) due to intrusive thoughts (IES-Intrusiveness), avoidance behaviors (IES-Avoidance), and hyperarousal symptoms (IES-Hyperarousal) through the Impact of Event Scale – Revised,³¹ using a cut-off of 33 points to identify a possible PTSD case,³² where higher values are related to more severe symptomatology. Moreover, self-efficacy was quantified through the General Self-Efficacy Scale (GSE)³³ and resilience via the Connor and Davidson Resilience Scale (CD-RISC),³⁴ in which higher scores indicate greater self-efficacy and increased resilience. The Pittsburgh Sleep Quality Index (PSQI) was administered to analyze sleep quality and related sleep efficiency³⁵; higher values correspond to compromised sleep quality.

- As global measures of perceived quality of life, the Short Form-12 was collected and explored into the Physical (PCS-12) and Mental domain (MCS-12),³⁶ increased scores indicate better health conditions.

- Predisposition to MBIs was investigated through the application of the Mindfulness Attention Awareness Scale (MAAS)³⁷; higher values reflect greater mindfulness state aptitude.

For subjects involved in the TG, at the end of the T-MBI performed, feasibility and satisfaction related to the meditation program attended were investigated.

- Feasibility was highlighted by analyzing the rates of patients’ engagement in the T-MBI program measured by the percentage of sessions lost, withdrawals, and dropouts.

- Satisfaction was quantified through an ad-hoc questionnaire in which participants were asked to choose scores from 1 to 5 (Likert Scale) according to the rate of acceptability, utility, and satisfaction perceived.

Statistical analysis

Descriptive analyses were run using the Statistical Package for Social Sciences (SPSS) version 22. Further investigations were carried out in R using specific packages. All continuous variables were expressed as the mean ± standard deviation. Analysis of variance, Student’s t test, and chi-square test were used to highlight differences in the variables of interest (PHQ-9, BAI, IES-total score and its subscores, PSQI, Sleep Efficiency, CD-RISC, GSE, PCS-12, and MCS-12) between groups. All tests were 2-tailed, with alpha set at P < .05. Pearson’s correlation was used to assess the variables’ association. We adopted restricted maximum likelihood estimation (REML), a linear mixed-effects model, to analyze changes over time in the variable of interest; for this purpose, the “nlme” R package was used.³⁸ As a rough indicator of the model fit, the conditional (pseudo) R² was used. This measure describes the proportion of variance explained by both fixed (time and group membership) and random effects (participants) and was calculated according to Nakagawa³⁹ and Schielzeth⁴⁰ and further integration according to Johnson.⁴¹ In fact, the group × time analysis allows to highlight the effects of time and intervention on the post-treatment results observed, considering both recovery time and intervention applied on psychological measures achieved at T1. As a measure of effect size, partial eta square (η²p) was obtained. The analyses were carried out with the “MuMIn” and with the “sjstats” packages running in R. Finally, given the presence of multiple analyses and to prevent Type I errors in null hypothesis, we used the Bejamini Hockberg False Discovery Rate (FDR) correction.⁴²

Results

The sample was composed of 88 subjects (44 in the TG and 44 in the n-TG), primarily male (63.6%), married (84.1%), retired (52.3%), holding a high school degree (53.4%). The mean age was 64.4 years and most of them (77.3%) had a critical form of COVID-19 according to WHO criteria (Table 2).

Table 2.

Demographic and clinical characteristics of the sample.

Variables	Total sample (n = 88)	TG (n = 44)	n-TG (n = 44)	P value
Age (years) (mean, SD)	64.4 (10.6) Range: 33-83	63.1 ± 10.8	65.8 ± 10.3	.22
Sex (n, %)				1.0
Men	56 (63.6)	28 (63.6)	28 (63.6)
Women	32 (36.4)	16 (36.4)	16 (36.4)
Severity (n, %)				.79
Non-Severe	3 (3.4)	2 (4.5)	1 (2.3)
Severe	17 (19.3)	9 (20.5)	8 (18.2)
Critical	68 (77.3)	33 (75.0)	35 (79.5)
ICU (n, %)	47 (46.5)	21 (47.7)	26 (59.1)	.17
LOS (mean, SD)	39.6 (25.1)	28.4 (14.5)	50.7 (28.4)	<.001*
6MWT (mean, SD)	303.2 (107.9)	342.5 (92.5)	266.7 (109.5)	<.001*
5TSTS (mean, SD)	16.5 (5.9)	15.2 (3.8)	17.7 (7.4)	.47
Education (n,%)				.55
Compulsory school	32 (36.4)	16 (36.4)	16 (36.4)
High school	47 (53.4)	22 (53.2)	25 (46.8)
University degree or higher	9 (10.2)	6 (13.6)	3 (6.8)
Marital status (n, %)				.85
Married or equivalent	74 (84.1)	37 (84.1)	37 (84.1)
Divorced/Widowed	9 (10.2)	4 (11.4)	5 (9.1)
Single	5 (5.7)	3 (6.8)	2 (4.5)
Working status (n, %)				.09
Self employed	9 (10.2)	5 (11.4)	4 (9.1)
Employee	33 (37.5)	21 (47.7)	12 (27.3)
Retired	46 (52.3)	18 (40.9)	28 (63.6)
MAAS (mean, SD)	4.6 ± 0.8	4.5 ± 0.8	4.8 ± 0.8	>.05

Abbreviations: 6MWT, 6 Minute Walk Test; 5TSTS, 5 Times Sit to Stand Test; ICU, Intensive Care Unit; LOS, length of stay; MAAS, Mindfulness Attention Awareness Scale; n-TG, non-Tele-Mindfulness Group; TG, Tele-Mindfulness Group.

, statistically significant.

Baseline description

The 2 groups were similar in terms of demographic characteristics, clinical severity, and Mindfulness inclination (MAAS score) (Table 2). All the subjects enrolled were infected during the first pandemic year, thus, before the immunization availability. No significant between groups differences were found for Intensive Care Unit stay, even if TG subjects experienced, on average, shorter lengths of stay. From a functional point of view, TG patients showed greater endurance levels (6MWT data), but comparable muscle strength (5TSTS) (Table 2). Concerning the psychological status of the subjects involved, no between groups differences were found for all the clinical measures detected (P > .05).

Generally, females showed greater anxiety (BAI) and PTSD (IES scores) symptoms, lower resilience levels (CD-RISC), and poorer sleep efficiency (Table 3).

Table 3.

Differences in the variables of interest at baseline according to sex.

Variables	Males	Females	Statistics
PCS-12	42.1 ± 7.8	39.4 ± 8.6	t= 1.37, df = 72, P > .05
MCS-12	48.3 ± 9.1	45.3 ± 8.4	t = 1.40, df = 72, P > .05
BAI	9.1 ± 9.6	13.3 ± 8.1	t = −2.05, df = 86, P < .05
IES-avoidance	7.9 ± 7.2	11.9 ± 7.4	t = −2.48, df = 86, P < .05
IES-intrusiveness	8.0 ± 6.7	12.2 ± 6.7	t = −2.83, df = 86, P < .01
IES-hyperarousal	5.4 ± 5.8	9.7 ± 5.6	t = −3.37, df = 86, P < .01
IES-total	21.2 ± 17.9	33.8 ± 17.1	t = −3.23, df = 67, P < .01
GSE	29.7 ± 6.6	27.9 ± 7.0	t = 1.20, df = 86, P > .05
PHQ-9	6.6 ± 4.3	7.7 ± 4.3	t = −1.16, df = 86, P > .05
CD-RISC	26.5 ± 8.4	22.7 ± 7.4	t = 2.10, df = 86, P < .05
Sleep efficiency	85.3 ± 13.4	76.5 ± 15.1	t = 2.82, df = 86, P < .01
PSQI	12.3 ± 6.1	12.8 ± 6.4	t = −1.16, df = 86, P > .05
MAAS	4.6 ± 0.8	4.6 ± 0.9	t = 0.56, df = 86, P > .05

Abbreviations: BAI, Beck Anxiety Inventory; CD-RISC, Connor-Davidson Resilience Scale; GSE, General Self-Efficacy Scale; IES-Avoidance, Impact of Event Scale, Avoidance subscale; IES-Intrusiveness, Impact of Event Scale, Intrusiveness subscale; IES-Hyperarousal, Impact of Event Scale, Hyperarousal subscale; IES-Total, Impact of Event Scale total score; MAAS, Mindful Attention Awareness Scale; MCS-12, Mental Component Summary; PCS-12, Physical Component Summary; PHQ-9, Patient Health Questionnaire-9; PSQI-Total, Pittsburgh Sleep Severity Index.

Intervention results

Results related to the variables scores analyzed between TG and n-TG are shown in Table 4 and the conditional growth model is reported in Table 5. n-TG patients at T1 were more likely to be anxious and depressed, showing higher symptoms of hyper-arousal, and feeling less self-effective.

Table 4.

Within group differences in the variables detected before (T0) and after (T1) T-MBI.

Variables	Group	T0 (mean, SD)	T1 (mean, SD)	P
PCS-12	TG	42.08 (6.31)	48.87 (6.11)	<.001
PCS-12	n-TG	40.29 (9.61)	45.99 (9.24)	<.001
MCS-12	TG	45.94 (8.91)	48.49 (8.92)	>.05
MCS-12	n-TG	48.33 (8.9)	49.58 (8.09)	>.05
BAI	TG	11.81 (10.84)	4.84 (4.41)	<.001
BAI	n-TG	9.41 (7.24)	8.68 (7.93)	>.05
IES-Avoidance	TG	10.38 (6.68)	4.97 (4.52)	<.001
IES-Avoidance	n-TG	8.41 (8.12)	7.5 (8.05)	>.05
IES-Intrusiveness	TG	10.68 (6.91)	5.89 (4.74)	<.001
IES-Intrusiveness	n-TG	8.36 (6.84)	7.2 (6.87)	>.05
IES-Hyperarousal	TG	7.84 (6.39)	3.48 (2.78)	<.001
IES-Hyperarousal	n-TG	6.0 (5.67)	5.34 (5.0)	>.05
IES-Total	TG	28.91 (18.29)	14.34 (10.45)	<.001
IES-Total	n-TG	22.77 (18.49)	20.05 (18.59)	>.05
GSE	TG	28.39 (6.61)	33.20 (5.29)	<.001
GSE	n-TG	29.73 (6.98)	28.8 (8.66)	>.05
PHQ-9	TG	7.59 (5.06)	3.66 (2.74)	<.001
PHQ-9	n-TG	6.32 (3.23)	5.80 (2.97)	<.001
CD-RISC	TG	23.66 (8.35)	29.20 (8.30)	<.001
CD-RISC	n-TG	26.57 (7.95)	26.91 (8.78)	>.05
Sleep efficiency	TG	80.57 (15.22)	91.80 (9.46)	<.001
Sleep efficiency	n-TG	83.61 (13.85)	86.96 (13.50)	>.05
PSQI-total	TG	13.64 (6.43)	9.11 (5.11)	<.001
PSQI-total	n-TG	11.32 (5.82)	9.13 (5.76)	.03

Abbreviations: BAI, Beck Anxiety Inventory; CD-RISC, Connor-Davidson Resilience Scale; GSE, General Self-Efficacy Scale; IES-Avoidance, Impact of Event Scale, Avoidance subscale; IES-Intrusiveness, Impact of Event Scale, Intrusiveness subscale; IES-Hyperarousal, Impact of Event Scale, Hyperarousal subscale; IES-Total, Impact of Event Scale total score; MCS-12, Mental Component Summary; n-TG, non-Tele-Mindfulness Group; PCS-12, Physical Component Summary; PHQ-9, Patient Health Questionnaire-9; PSQI-Total, Pittsburgh Sleep Severity Index; TG, Tele-Mindfulness Group.

Table 5.

Results of linear mixed-effects model.

Measure	Statistics	SE	df	t	P, q	LogLikelihood (LL)	η²p [95% CI]	Conditional R²
Measure	Variable	SE	df	t	P, q	LogLikelihood (LL)	η²p [95% CI]	Conditional R²
PCS-12	Time	1.65	63	3.52	.001*, q = 0.0014	−447.91	0.31 [0.16-1.00]	92.63%
	Group	2.03	63	0.68	.496, q = 0.041		0.02 [0.00-1.00]
	Time × Group	2.39	63	0.42	0.671, q = 0.045		<0.01 [0.00-1.00]
MCS-12	Time	1.79	63	0.70	0.483, q = 0.040	−455.92	0.01 [0.00-1.00]	91.62%
	Group	2.16	63	−1.09	.276, q = 0.032		0.03 [0.00-1.00]
	Time × Group	2.59	63	−0.08	.929, q = 0.048		<0.01 [0.00-1.00]
BAI	Time	1.13	86	−0.63	.524, q = 0.043	−592.73	0.21 [0.10-1.00]	93.25%
	Group	1.69	86	1.42	.158, q = 0.027		<0.01 [0.00-1.00]
	Time × Group	1.60	86	−3.88	.0001*, q = 0.0027		0.15 [0.05-1.00]
IES-Avoidance	Time	1.01	86	−0.89	.371, q = 0.037	−571.47	0.18 [0.08-1.00]	93.05%
	Group	1.49	86	1.32	.188, q = 0.029		<0.01 [0.00-1.00]
	Time × Group	1.43	86	−3.14	.002*, q = 0.012		0.10 [0.02-1.00]
IES-Intrusiveness	Time	0.82	86	−1.39	.165, q = 0.028	−549.15	0.23 [0.11-1.00]	93.77%
	Group	1.36	86	1.69	.093, q = 0.020		<0.01 [0.00-1.00]
	Time × Group	1.17	86	−3.10	.002*, q= 0.010		0.10 [0.02-1.00]
IES-Hyperarousal	Time	0.71	86	−0.91	.360, q = 0.035	−516.18	0.22 [0.11-1.00]	93.38%
	Group	1.09	86	1.67	.096, q = 0.021		<0.01 [0.00-1.00]
	Time × Group	1.01	86	−3.65	.0004*, q = 0.0068		0.13 [0.04-1.00]
IES-Total	Time	2.19	86	−1.24	.218, q = 0.031	−715.83	0.26 [0.14-1.00]	93.83%
	Group	3.58	86	1.71	.090, q = 0.018		<0.01 [0.00-1.00]
	Time × Group	3.10	86	−3.80	.003*, q = 0.0135		0.14 [0.05-1.00]
GSE	Time	1.08	86	−0.86	.391, q = 0.039	−575.19	0.07 [0.00-1.00]	92.6%
	Group	1.48	86	−0.90	.370, q = 0.036		0.02 [0.00-1.00]
	Time × Group	1.53	86	3.75	.0003*, q = 0.0054		0.14 [0.05-1.00]
PHQ-9	Time	0.34	86	−1.52	.130, q = 0.025	−428.31	0.50 [0.00-1.00]	95.97%
	Group	0.77	86	1.65	.102, q = 0.023		<0.01 [0.00-1.00]
	Time × Group	0.48	86	−7.03	0.0001*, q = 0.0041		0.37 [0.24-1.00]
CD-RISC	Time	1.04	86	0.32	.745, q = 0.047	−592.55	0.16 [0.06-1.00]	93.88%
	Group	1.78	86	−1.63	.105, q = 0.024		<0.01 [0.00-1.00]
	Time × Group	1.47	86	3.52	.0007*, q = 0.0081		0.13 [0.04-1.00]
Sleep efficiency	Time	1.79	86	1.86	.065, q = 0.017	−676.54	0.28 [0.15-1.00]	93.59%
	Group	2.811	86	−1.08	.282, q = 0.033		<0.01 [0.00-1.00]
	Time × Group	2.53	86	3.10	0.002*, q = 0.009		0.10 [0.02-1.00]
PSQI-Total	Time	0.87	86	−2.50	.014*, q = 0.015	−541.73	0.25 [0.13-1.00]	92.94%
	Group	1.23	86	1.87	.641, q = 0.044		0.01 [0.00-1.00]
	Time × Group	1.24	86	−1.87	.063, q = 0.016		0.04 [0.00-1.00]

Abbreviations: BAI, Beck Anxiety Inventory; CD-RISC, Connor-Davidson Resilience Scale; GSE, General Self-Efficacy Scale; IES-Avoidance, Impact of Event Scale, Avoidance subscale; IES-Intrusiveness, Impact of Event Scale, Intrusiveness subscale; IES-Hyperarousal, Impact of Event Scale, Hyperarousal subscale; IES-Total, Impact of Event Scale total score; MCS-12, Mental Component Summary; PCS-12, Physical Component Summary; PHQ-9, Patient Health Questionnaire-9; PSQI-Total, Pittsburgh Sleep Severity Index; *, statistically significant.

Results of linear mixed-effects model fit by restricted maximum-likelihood estimation (REML).

Except for PCS-12, MCS-12, and PSQI, all the variables showed significant interactions (Time × Group) in the expected direction (Table 5). We observed the hypothesized Time × Group effect for BAI and PHQ-9, with significant lower scores found in the TG compared to the n-TG one, with a higher effect size for PHQ-9 than BAI (η²p = .37 and .15, respectively); the conditional R² was 93.25 for the BAI and 95.97 for the PHQ-9.

These results indicate significantly lower levels of PTSD in terms of intrusive reminders, emotional and behavioral avoidance, and hyperarousal distress at T1 for the TG compared to the n-TG; effect sizes were almost comparable across all the subscales and generally small (η²p = .10 for IES-avoidance; η²p = .10 for IES-intrusiveness; η²p = .13 for IES-hyperarousal; η²p = .14 for IES-total), conditional R² ranged from 93.05 for IES-avoidance to 93.83 for IES-total.

Even for resilience (CD-RISC) and self-efficacy (GSE), TG subjects reached greater improvements compared to n-TG controls; effect sizes were moderate for both measures (η²p = .13 for CD-RISC and η²p = .14 for GSE), and the conditional R² was 93.88 for CD-RISC and 92.6 for GSE.

Lastly, sleep efficiency was significantly higher at T1 in the TG than in the n-TG (η²p = .10), with conditional R² = 93.59. No significant interaction effect was observed for PSQI, PCS-12, and MCS-12.

Feasibility and satisfaction

The overall adherence to the program was high; only 2 participants of the TG dropped out during the T-MBI program due to personal reasons (4.5%). Generally, patients reported high satisfaction rates about the experimental intervention tested (mean = 3.9/5 ± 0.7), and many felt to recommend T-MBI to others (mean = 4.3/5 ± 0.6). Patients reported that the most relevant perceived benefits from the T-MBI were managing emotions (mean = 3.1/5 ± 0.6), improving interpersonal relationships (mean = 3.1/5 ± 0.7), increasing energies (mean = 3/5 ± 0.8), and relieving stress (mean = 2.9/5 ± 0.7).

Discussion

This quasi-experimental study focused on the feasibility and clinical effectiveness of a home-based Tele-Mindfulness program on mental health in previously hospitalized COVID-19 subjects. The T-MBI applied revealed positive effects in reducing anxiety, depression, PTSD symptoms, and improving resilience and self-efficacy in a cohort of patients who had a severe form of COVID-19, that required hospitalization and rehabilitation interventions.

The burdensome effect of the COVID-19 pandemic caused critical consequences not only in the acute phase of the infection, both for patients and for healthcare systems, but also in the long-term sequelae, resulting in persistent symptoms, body impairments, and dysfunctions, comprehensively described in the Post Covid Syndrome (PCS).⁴³ Across the different domains that could be affected by PCS, mental health represents a primary therapeutic need, due to the relevant presence of anxiety, depression, and sleep disorders in these subjects.⁸

The clinical effects of the T-MBI applied are consistent with the results previously described in the literature ^21,22; online mindfulness interventions improved psychological distress inducing more functional coping strategies in COVID-19 patients. However, these applications were tested in hospitalized patients, when the influence of several other variables (such as the environmental setting, acute clinical conditions, and medications) could significantly impact the mental health changes observed. The long-term psychopathological status after COVID-19 represents a therapeutic challenge due to the overall complexity of the PCS; the absence of a full resolution of physical symptoms, the presence of traumatic memories, and still perceiving difficulties in activities of daily living execution could exacerbate psychological disorders. The core feature of mindfulness practice which is focusing on the present moment, with acceptance and refusing judgments and criticism, could alleviate patients regarding fear about their future, worries related to physical recovery, being aware of the sensations felt in that moment. Indeed, MBIs have been widely tested in the treatment of persistent conditions, such as chronic pain,⁴⁴ fibromyalgia,⁴⁵ and somatization disorder,⁴⁶ providing benefits in pain reduction, depressive symptoms, and quality of life.⁴⁷ Practicing mindfulness-based meditation seems to activate the posterior cingulate cortex and other brain areas involved in self-regulation, adaptive behavior, and interoception.⁴⁸

Despite positive changes in psychopathological dimensions, no between groups differences have been found in the overall perceived quality of life after the 12-week period, both in the physical and mental components. Certainly, quality of life is a deeply complex concept that is influenced by several factors other than multiple psychological features. The present study was performed during the first phase of the pandemic irruption, that is before the immunization availability, and the global social crisis strongly affected the common perceived well-being.

Surely, the present study has limits that need to be considered. First, the study design, thus the absence of a randomized controlled group, strongly influences the quality of the project and the conclusions achieved. However, the match performed for age and sex of the subjects enrolled in the same cohort should have partially reduced potential bias derived from different patients’ baseline characteristics. Indeed, the patients in the control group did not differ significantly from the experimental group in terms of baseline clinical and demographic variables, including mindfulness inclination and psychopathology, which was mild in both groups. Therefore, it is plausible that many patients declined the experimental intervention due to low motivation to engage in a 20-minute mindfulness practice, as they may not have perceived mild levels of anxiety or depression that would prompt them to seek additional treatment. Conversely, patients who were more physically impaired and with a history of longer hospital LOS more frequently refused TG; these baseline differences may have impacted the final psychological outcomes observed. However, the decision to not take part in the T-MBI proposed might be explained by the fact that they wanted to forget the hospitalization and not be in contact any more with healthcare providers. Additionally, given that the average age in both groups was over 60 years, some patients may have been less comfortable using technology for the intervention.

Moreover, the positive attitude in accepting the T-MBI proposed could have influenced the related results. Besides, the decision to take part in a telerehabilitation intervention is not only a matter of coping inclination, but it is also linked to barriers such as familiarity with technologies, and device availability.⁴⁹

Additionally, the pandemic situation did not allow for different preliminary project construction, thus, it seemed not ethically appropriate to intentionally discriminate against potentially beneficial interventions. Furthermore, all the subjects involved executed multiple rehabilitation treatments, with type and intensity dependent on their own specific clinical needs, other than T-MBI, and identifying the single role of the home-based mindfulness intervention in these results is not possible. Although MBIs are usually applied in association with other interventions, and the definition of concomitant therapies was the same for both groups. The multiple interactions with the health-care team of the TG compared to the n-TG may have contributed to T-MBI outcomes; however, all patients were attending rehabilitation interventions, thus, the increased number of contacts with the clinicians might have a partial role. For these reasons, the conclusions derived from this study, even if they require caution, provide relevant information in a pragmatic way.

Clinical Message

Lastly, the application of a remote home-based mindfulness-based intervention as part of a global, tailored, rehabilitation program seems feasible and effective in reducing anxiety, depression, post-traumatic stress disorder symptoms and increasing resilience and self-efficacy in previously hospitalized COVID-19 subjects.

Footnotes

Author Contributions

Conceptualization, S.S. and G.M.; Data curation, S.S., G.M., and L.Z.; formal analysis, G.M and L.Z.; investigation, G.F., N.S., A.B., N.L., F.M., and G.M.; methodology, S.S., A.B., N.L., F.M., and G.M.; project administration, S.S. and G.M; supervision, S.S.; validation, S.S., G.M., and L.Z.; visualization, S.S., G.M., and L.Z.; writing—original draft, G.M and L.Z.; writing—review and editing, S.S., G.F., G.M., L.Z., and L.G.. All authors have read and agreed to the published version of the manuscript.

Availability of Data and Materials

The data that support the findings of this study are available from the corresponding author, SS, upon reasonable request.

Declaration Of Conflicting Interests:

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding:

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: For this research, S.S. was partially funded by the University of Ferrara (FIRD 2022).

Consent for Publication

NA.

Code Availability

NA.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Area Vasta Emilia Centro, Regione Emilia Romagna (Italy) (EM66-2022_539/2020/Oss/AOUFe_EM1.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

ORCID iDs

Giulia Fregna

Andrea Baroni

Sofia Straudi

References

Emergenza Coronavirus Italia. Accessed February 19, 2024. https://coronavirus.gimbe.org/emergenza-coronavirus-italia.it-IT.html

Adorni

Jesuthasan

Perdixi

, et al. Epidemiology of SARS-CoV-2 infection in italy using real-world data: methodology and cohort description of the second phase of web-based EPICOVID19 Study. Int J Environ Res Public Health. 2022;19:1274.

COVID-ICU Group on behalf of the REVA Network and the COVID-ICU Investigators. Clinical characteristics and day-90 outcomes of 4244 critically ill adults with COVID-19: a prospective cohort study. Intensive Care Med. 2021;47:60-73.

Di Giorgio

Mirijello

De Gennaro

, et al. Factors associated with delirium in covid-19 patients and their outcome: a single-center cohort study. Diagn Basel Switz. 2022;12:544. doi:10.3390/diagnostics12020544

O’Mahoney

Routen

Gillies

, et al. The prevalence and long-term health effects of Long Covid among hospitalised and non-hospitalised populations: a systematic review and meta-analysis. eClinicalMedicine. 2023;55:101762.

Straudi

Manfredini

Baroni

, et al. Construct Validity and Responsiveness of the COVID-19 Yorkshire Rehabilitation Scale (C19-YRS) in a Cohort of Italian Hospitalized COVID-19 Patients. Int J Environ Res Public Health. 2022;19:6696.

Rogers

Chesney

Oliver

, et al. Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: a systematic review and meta-analysis with comparison to the COVID-19 pandemic. Lancet Psychiatry. 2020;7:611-627.

Seighali

Abdollahi

Shafiee

, et al. The global prevalence of depression, anxiety, and sleep disorder among patients coping with Post COVID-19 syndrome (long COVID): a systematic review and meta-analysis. BMC Psychiatry. 2024;24:105.

Nalbandian

Sehgal

Gupta

, et al. Post-acute COVID-19 syndrome. Nat Med. 2021;27:601-615.

10.

Garrigues

Janvier

Kherabi

, et al. Post-discharge persistent symptoms and health-related quality of life after hospitalization for COVID-19. J Infect. 2020;81:e4-e6.

11.

Lee

Perl

Nair

, et al. Microvascular injury in the brains of patients with Covid-19. N Engl J Med. 2021;384:481-483.

12.

Douaud

Lee

Alfaro-Almagro

, et al. Brain imaging before and after COVID-19 in UK Biobank. Published online June 15, 2021. doi:10.1101/2021.06.11.21258690

13.

Zhu

Chen

Tang

The relationship between mindfulness, anxiety and depression during the COVID-19 pandemic: a meta-analysis of correlational studies. Front Psychol. 2023;14:994205.

14.

Witarto

Visuddho

Witarto

, et al. Effectiveness of online mindfulness-based interventions in improving mental health during the COVID-19 pandemic: a systematic review and meta-analysis of randomized controlled trials. PLOS ONE. 2022;17:e0274177.

15.

Yeun

Kim

SD.

Psychological effects of online-based mindfulness programs during the COVID-19 pandemic: a systematic review of randomized controlled trials. Int J Environ Res Public Health. 2022;19:1624.

16.

Rosenzweig

Greeson

Reibel

Green

Jasser

Beasley

Mindfulness-based stress reduction for chronic pain conditions: variation in treatment outcomes and role of home meditation practice. J Psychosom Res. 2010;68:29-36.

17.

Zhang

Lee

EKP

Mak

ECW

Wong

SYS

. Mindfulness-based interventions: an overall review. Br Med Bull. 2021;138:41-57.

18.

López-Lois

González-Barcala

Facal

Application of mindfulness techniques in patients with asthma or COPD. J Asthma Off J Assoc Care Asthma. 2021;58:1237-1246.

19.

Higgins

Davidson

Busse

, et al. Clinically relevant effects of mindfulness-based stress reduction in individuals with asthma. Brain Behav Immun Health. 2022;25:100509.

20.

Harrison

Lee

Janaudis-Ferreira

Goldstein

Brooks

Mindfulness in people with a respiratory diagnosis: a systematic review. Patient Educ Couns. 2016;99:348-355.

21.

Wei

Huang

B chao

S jia

, et al. Efficacy of internet-based integrated intervention on depression and anxiety symptoms in patients with COVID-19. J Zhejiang Univ Sci B. 2020;21:400-404.

22.

Shaygan

Yazdani

Valibeygi

The effect of online multimedia psychoeducational interventions on the resilience and perceived stress of hospitalized patients with COVID-19: a pilot cluster randomized parallel-controlled trial. BMC Psychiatry. 2021;21:93.

23.

Porter

Jason

LA.

Mindfulness meditation interventions for long COVID: biobehavioral gene expression and neuroimmune functioning. Neuropsychiatr Dis Treat. 2022;18:2599-2626.

24.

Baroni

Fregna

Lamberti

Manfredini

Straudi

Fatigue can influence the development of late-onset pain in post-COVID-19 syndrome: an observational study. Eur J Pain Lond Engl. Published online December 28, 2023. doi:10.1002/ejp.2228

25.

Spijkerman

MPJ

Pots

WTM

Bohlmeijer

. Effectiveness of online mindfulness-based interventions in improving mental health: a review and meta-analysis of randomised controlled trials. Clin Psychol Rev. 2016;45:102-114.

26.

COVID-19 Clinical management: living guidance. Accessed June 19, 2021. https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-clinical-2021-1

27.

Alsubaie

Abbott

Dunn

, et al. Mechanisms of action in mindfulness-based cognitive therapy (MBCT) and mindfulness-based stress reduction (MBSR) in people with physical and/or psychological conditions: a systematic review. Clin Psychol Rev. 2017;55:74-91.

28.

Kabat-Zinn

Hanh

TN.

Full Catastrophe Living: Using the Wisdom of Your Body and Mind to Face Stress, Pain, and Illness. Random House Publishing Group; 2009.

29.

Beck

Epstein

Brown

Steer

RA.

An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. 1988;56:893-897.

30.

Kroenke

Spitzer

Williams

JB.

The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606-613.

31.

Weiss

Marmar

CR.

Impact of Event Scale—Revised. Published online January 11, 2016. doi:10.1037/t12199-000

32.

Creamer

Bell

Failla

Psychometric properties of the Impact of Event Scale - Revised. Behav Res Ther. 2003;41:1489-1496. doi:10.1016/j.brat.2003.07.010

33.

Schwarzer

Jerusalem

Weinman

Wright

Johnston

. Generalized Self-Efficacy Scale. In: Weinman

Wright

Johnston

, eds, Measures in Health Psychology: A User’s Portfolio. Causal and Control Beliefs. NFER-NELSON; 1995: 35-37.

34.

Connor

Davidson

JRT

. Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC). Depress Anxiety. 2003;18:76-82.

35.

Buysse

Reynolds

Monk

Berman

Kupfer

DJ.

The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193-213.

36.

Gandek

Ware

Aaronson

, et al. Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol. 1998;51:1171-1178.

37.

Brown

Ryan

RM.

The benefits of being present: mindfulness and its role in psychological well-being. J Pers Soc Psychol. 2003;84:822-848.

38.

Pinheiro

Bates

DebRoy

Sakar

The Nlme Package: Linear and Nonlinear Mixed Effects Models, R Version 3. 6; 2012.

39.

Nakagawa

Johnson

PCD

Schielzeth

The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. J R Soc Interface. 2017;14:20170213.

40.

Nakagawa

Schielzeth

A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods Ecol Evol. 2013;4:133-142.

41.

Johnson

PC.

Extension of Nakagawa & Schielzeth’s R2GLMM to random slopes models. Methods Ecol Evol. 2014;5:944-946.

42.

Benjamini

Hochberg

Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol. 1995;57:289-300.

43.

Parotto

Gyöngyösi

Howe

, et al. Post-acute sequelae of COVID-19: understanding and addressing the burden of multisystem manifestations. Lancet Respir Med. 2023;11:739-754.

44.

Bawa

FLM

Mercer

Atherton

, et al. Does mindfulness improve outcomes in patients with chronic pain? Systematic review and meta-analysis. Br J Gen Pract J R Coll Gen Pract. 2015;65:e387-e400.

45.

Lauche

Cramer

Dobos

Langhorst

Schmidt

A systematic review and meta-analysis of mindfulness-based stress reduction for the fibromyalgia syndrome. J Psychosom Res. 2013;75:500-510.

46.

Lakhan

Schofield

KL.

Mindfulness-based therapies in the treatment of somatization disorders: a systematic review and meta-analysis. PLOS ONE. 2013;8:e71834.

47.

Hilton

Hempel

Ewing

, et al. Mindfulness meditation for chronic pain: systematic review and meta-analysis. Ann Behav Med. 2017;51:199-213.

48.

Boccia

Piccardi

Guariglia

The meditative mind: a comprehensive meta-analysis of MRI studies. BioMed Res Int. 2015;2015:419808. doi:10.1155/2015/419808

49.

Milani

Demattè

Ferioli

, et al. Telerehabilitation in Italy during the COVID-19 lockdown: a feasibility and acceptability Study. Int J Telerehabilitation. 2021;13:e6334.