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Annals of Psychiatry and Mental Health

The Impact of the Stigma of Mental Illness among the Physicians on the Psychological Well-Being of COVID-19 Patients in the Isolation Rooms

Research Article | Open Access | Volume 10 | Issue 2

  • 1. Associate consultant psychiatrist in King Abdullah Medical City in Makkah, Saudi Arabia
  • 2. Department of Biostatistics, Research Center of King Abdullah Medical City in Makkah, Saudi Arabia
  • 3. Pediatric resident in Saudi Ministry of Health, King Abdulaziz University, Saudi Arabia
  • 4. King Abdulaziz University, Saudi Arabia
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Corresponding Authors
Sami Yahya Saad, Associate consultant psychiatrist in King Abdullah Medical City in Makkah, Saad Abu Abdullah 7737, Jeddah 23535, Saudi Arabia, Tel: 966546465597
ABSTRACT

Objective: Several studies have demonstrated the stigma against patients with infectious diseases. Our aim is to investigate the existence of a relationship between doctors’ stigma against mental illness, and the extent to which this causes depression among their patients with COVID-19 in the isolation rooms.

Methods: This cross-sectional study was conducted at the King Abdullah Medical City (KAMC) from the 1st of Jun 2020 till November 2020. PHQ-9 scale was done on 37 patients in the isolation rooms due to COVID-19 for 7 days or more. For every patient, we interviewed their 3 most responsible physicians from the primary team including the consultant. 67 physicians were recruited in this study. The physicians answered the socio-demographic questionnaire as well as the Mental Illness Clinicians’ Attitude 4th version (MICA 4).

Results: Our results showed that patients who were in severe depression and moderately severe depression (mean of PHQ-9 was 21 points) had been under the supervision of three doctors with the highest mean MICA score (48.88 points). This relation happened when we correlate the patient with all of his/her 3 physicians. The p-value was significant (.000) for moderate depression if the correlation was done with all the three physicians, or two physicians, or only one physician for any patient.

Conclusion: The high results of MICA-4 of the responsible physicians have a relatively direct correlation with the high results of PHQ-9 of their COVID-19 patients in the isolation.

Other studies with a bigger sample size could help to confirm this correlation.

Keywords
  • COVID-19
  • Mental illness
  • Isolation
  • Saudi
  • Physicians
  • Stigma
INTRODUCTION

Isolation rooms in the hospitals are often an unpleasant experience for those who undergo it. Separation from loved ones, the loss of freedom, the suffering from the disease, uncertainty over disease status, and boredom can, on occasion, create unhealthy psychological effects. According to a Canadian study during the SARS outbreak, 29% of those quarantined showed signs of PTSD, and 31% had symptoms of depression following isolation [1]. An overwhelmed era, like the COVID-19 pandemic era, can cause a huge negative psychological effect on the population, even without any staying in the isolation rooms of the hospitals. An online survey study on 1210 persons from the public from 194 different cities in China during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) epidemic shows that about one-third of them have moderate-to-severe anxiety [2]. The stigma against the patients during the outbreaks, pandemics, and infectious diseases, in general, is well known. HIV, SARS, TB [3], Leprosy [4], and Ebola [5]. Even the stigmatizing attitude found between the medical staff who had been affected by the virus from other medical staff members during the outbreak of MERS in Saudi Arabia [6]. The stigma, specifically against mental illness, in Saudi Arabia is very prevalent according to other studies [7]. In addition to this, we did a cross-sectional study in King Abdullah Medical City in Makkah in Saudi Arabia (KAMC) in 2019 and the results indicate a high stigmatizing attitude among physicians toward patients with mental illnesses [8].

According to all the previous information and according to the well-known long-term negative effect of the stigma on the patients [9], in this study, we will try to fill the gap in the literature about the negative psychological effect of the stigma from the physicians towards the isolated patients during this unusual era of history. We want to figure out if the high level of stigma against mental illness could have a negative effect on the psychological well-being of the isolated patients due to COVID-19. Another goal is to detect the prevalence of depression among the patients in the isolation rooms of KAMC.

SUBJECTS AND METHOD

Methods

Study design: This cross-sectional observational study aimed to detect the impact of the stigma among the physicians in (KAMC) on the psychological well-being of the isolated in-patients during the (COVID-19) Epidemic period. The other goals are to detect the prevalence of depression among the patients in the isolation rooms. In this study we used two scales, the first determinant scale in this study, was scored on the MICA-4, examining the physicians stigmatizing behaviors against people in isolation for COVID-19. The other scale is PHQ-9 for the patients to screen for the presence and severity of depression.

Study setting: The study was conducted at the King Abdullah Medical City (KAMC) from 1st of Jun 2020 till November 2020. KAMC is a nonprofit tertiary and quaternary health care organization. KAMC is the largest medical city in Saudi Arabia with a bed capacity of 1500 beds. It provides services to citizens, residents, and pilgrims who came to the holy city of Makkah.

Subjects: The main goal in our study was designed to have 3 physicians for each patient including the primary consultant. For our sample of the patients (37 patients), we should get seventy- seven physicians, however, not all physicians have been founded (due to changing their job to another hospital or were on vacation) and some doctors refused to participate. At last, we succeeded to interview sixty-seven physicians who participated in this study from the primary medical team for the participating patients in the isolation room. This included consultants, assistance consultants, specialists, and residents. For the patient part, we had thirty-seven patients who were involved in our study and were in isolation rooms for covid-19 stayed for 7 days or more.

Inclusion/ exclusion criteria: This study included any physician from the primary medical team who is treating the isolated patient and they are working at King Abdullah Medical City (KAMC).

Regarding the patients’ sample, it included patients who have been admitted to one of the isolation rooms in KAMC during the period of the study. Patients who are older than 18 years, Arabic or English speakers, and accept participation in the study are all involved. Patients who were excluded in the study who reported to have moderate to severe neurocognitive impairment such as dementia and intellectual disability, also patients or physicians who declined to participate in the study and patients with obvious language barriers or delirious were excluded.

Sampling technique

The physician data and survey were collected personally by health care students. They explained the goal of the study and invited the physician to take part voluntarily. Data collectors

verbally explained the scale to the physicians. The questionnaire and the scale were answered individually by physicians. The questionnaires had the name of the physician. The name will help us to avoid the repetition of the same interview again with the same physician if he or she is taking care of another isolated patient in the study.

The patient’s data and survey were collected by a psychiatrist. The questionnaires were collected by phone to the isolated patient room after taking oral consent and explaining the goal and the way of the research pulse confidentiality of the information they will give.

Data collection

  1. The patients: The study conductor, who is a psychiatrist, contacted the isolated patients in KAMC by phone any day after their 7th day in the isolation room. The contact by phone in purpose to decrease the risk of virus exposure between the patients and the staff. The interview started with explaining the study to the patient and taking the oral consent. After this, the interview continued by completing the semi-demographic sheet which consisted of general information like the age, gender, nationality, education, past or current psychiatric history, current diagnosis, how many days had been admitted to the hospital, and how many days the patient was in isolation.

The second half of this sheet included general questions about the patient’s general satisfaction regarding the primary medical team, his general assessment about the quality of the communication between him/her and the team.

The other set of questionnaires included the Patient Health Questionnaire (PHQ-9) to screen for the presence and severity of depression. The Patient Health Questionnaire-9 (PHQ-9) is a nine-item questionnaire designed to screen for depression in primary care and other medical settings [10], with high validation [11], and Arabic version [12]. PHQ-9 total score for the nine items ranges from 0 to 27. Scores of 5, 10, 15, and 20 represent cut points for mild, moderate, moderately severe, and severe depression, respectively.

  1. The physicians: Researchers/data collectors then approached the physicians of the primary medical team for the previously isolated patients at their offices or rooms, the idea was to have three doctors from the primary medical team of every patient included in the study, one of them should be the in-charge consultant for the patient and two of the other caring doctors from the team. We chose the other two physicians according to the one who mostly wrote the medical notes for the patient and by asking the patient about which doctors he/ she was mostly seeing. We started the interview by explaining the aim of the study by giving them the information sheet of the study and asking them for verbal consent to complete 2 sets of questionnaires. The first set of questions consisted of a demographic information sheet including the name, age, gender, job, specialty, years of clinical practice, any psychiatric history or family history, any past COVID-19 history or previous history of isolation admission to the same person, and the site of the work.

The second set of questions was the Mental Illness: Clinicians’ Attitudes (MICA-4) scale [13]. The MICA-4 Scale is created to measure stigmatizing attitudes of healthcare workers toward patients with mental health illnesses. It contains 16 statements for which the participants are asked to rate their level of agreement about every statement. For scoring of MICA-4, items 3, 9, 10, 11, 12, and 16 were directly scored on a 6-point Likert scale (Strongly agree=1, Agree=2, Somewhat Agree=3, Somewhat disagree=4, Disagree=5, Strongly disagree=6). Items 1, 2, 4, 5, 6,7, 8, 13, 14, 15 were reverse scored (Strongly agree=6, to Strongly disagree=1). A total score for each participant was calculated for each responder. The possible score ranged from 16-96. A highoverall score indicates a more negative (stigmatizing) attitude. The MICA-4 scale has good internal consistency (Cronbach’s alpha=0.79) with test-retest reliability (concordance) of 0.80 (95% CI: 0.68 to 0.91) [14]. The MICA-4 scale was found to be both reliable and valid [14].

Ethical approval and consent to participate

The purpose and nature of the study were explained by phone to all the isolated patients and personally to the physicians. Verbal consent was obtained, respecting participants’ autonomy and anonymity. As we mentioned before, we had to get the name of the doctors so we can use the same scales he or she fills it for many isolated patients if the same physician is a part of the primary medical team for another isolated patient. The name will help us to avoid the repetition of the same interview again with the same physician about another isolated patient. A serial No. is given for each patient, but it does not refer to the identity of the patient. Ethical approval from the ethical committee at KAMC was obtained.

Statistical analysis

Data analysis is conducted using SPSS (IBM version 25.0). Categorical data were summarized as frequencies and percentages while continuous and ordinal variables were expressed as mean value ± standard deviation. The chi-square test or the Fisher’s exact test was used to estimate the associations between categorical variables. Correlations among individual items were examined using Spearman’s rho. The significance level for all tests was set to α = .05, and all tests were 2-tailed.

RESULTS

The demographic of all physicians is exhibited in Table 1. The study questionnaire completion was excellent. Seventyseven physicians were approached and invited to participate, sixty-seven completed the study for a response rate of 87%. The study sampling was successful in retrieving physicians from all adult age groups and genders. The age group of 33-40 years and more than 40 years constituted most of the study physicians (71.6%). Male comprised more than half (79.1%) of the study physicians and more than half of physicians (59.7%) had more than 10 years of work experience. Concerning job title, nearly two-thirds (77.6%) of the enrolled physicians are specialists and consultants. Almost all the physicians were in the medicine department (76.1%). Virtually, less than a quarter of physicians or any relatives to them were diagnosed with a mental health diagnosis or had been isolated in a hospital or a hotel during the COVID-19 pandemic. The overall MICA score ranged between 27 and 69 with a mean ± SD 45.35 ± 8.21 with a median of 44 points. The patients’ characteristics are displayed in a Table 2.

Table 1: Sociodemographic characteristics of physicians.

Variables

Participants (n=67)

Age

18-25 years

26-32 years

33-40 years

More than 40 years

 

-

18 (26.9%)

24 (35.8%)

24 (35.8%)

Gender Male Female

 

53 (79.1%)

14 (20.9%)

Job Title Consultant Specialist Resident

 

22 (32.8%)

30 (44.8%)

15 (22.4%)

Mental Health Diagnosis

Yes

 

15 (22.4%)

Isolated during COVID-19 Pandemic

Yes

 

16 (23.9%)

Work Experience

less than 5 years 5-10 years

More than 10 years

 

11 (16.4%)

16 (23.9%)

40 (59.7%)

Department Medicine Surgery Psychiatry

 

51 (76.1%)

14 (20.9%)

1 (1.5%)

 

Table 2: Sociodemographic characteristics of patients.

Variables

Participants (n=37)

Age

 

18-25 years

5 (13.5%)

26-32 years

2 (5.4%)

33-40 years

3 (8.1%)

More than 40 years

27 (73%)

Gender

 

Male

18 (48.6%)

Female

19 (51.4%)

Nationality

 

Saudi

23 (62.2%)

Other

14 (37.8%)

Educational level

 

Uneducated

6 (16.2%)

Elementary

7 (18.9%)

Intermediate

2 (5.4%)

High School

9 (24.3%)

Postgraduate

13 (35.1%)

Marital Status

 

Married

27 (73%)

Single

5 (13.5%)

Divorced

3 (8.1%)

Widow

2 (5.4%)

Number of isolation days

 

7-10 days

21 (56.8%)

More than 10 days

16 (43.2%)

Numbers of consultants visit

 

I do not know him/her

23 (62.2%)

Not once

9 (24.3%)

1-3

5 (13.5%)

4 or more

-

Times have of doctor visited during the last

 

24 (64.9%)

8 (21.6%)

4 (10.8%)

1 (2.7%)

4 days

Not once

1-2

3-4

4 or more

Psychiatric diagnosis

 

No

34 (91.9%)

Yes

2 (5.4%)

More than half (73%) of patients belonged to the age group that is more than 40 years. More than half of the participants were female, Saudi, and married (51.4%, 62.2%, 73% respectively). Concerning educational level, less than half (35.1%) of the enrolled patients had postgraduate degrees. More than half of the patients (56.8%) have been isolated between 7-10 days. Among them, when they were asked questions, about how many times the consultant who is responsible for your case came to your room and how many times did a doctor visit you in your room in isolation during the last 4 days? majority of them declared that they do not know their consultant and not once (62.2% and 64.9%) respectively. A majority (91.9%) of patients experienced no psychiatrist or psychiatric diagnosis.

The results of the level of patient’s satisfaction in the Table 3 reported that the majority of patients are satisfied with the medical team and their communication (51.4%).

When we did the PHQ- 9 scale, the overall PHQ- 9 score ranged between .0 and 22 with a mean ± SD 9.37 ± 6.37 as shown in Table 4. Regarding the difficulty question in PHQ-9, The majority had some difficulty (37.8%).

Table 5 presents the correlation between the patients’ PHQ level and the MICA’s score of his/her closest physicians in the medical team which include the consultant. As we mentioned above in the methodology, we could not interview all our targeted physicians who were responsible for every patient in our study. We succeeded in collecting the MICA scores of the closest 3 physicians (including the consultant) to 23 patients of our whole sample (37 patients). Therefore, we separate the correlation between the MICA scores in PHQ-9 scores into 3 parts in the table.

As seen on the table, the correlation ratio yielded a strong positive correlation, that is +1 and the p-value is computed at

.000, which is less than 0.05 which means significant. In Table 6, there is a correlation between the high PHQ-9 score of seven of the patients and the high MICA score of their three physicians. The mean MICA score was 48.88 points for the three physicians who were responsible for taking care of three patients who had severe depression (mean of PHQ-9 21 points). In the same way, the correlation happened again when the mean PHQ-9 points of four patients reflected moderate -severe depression (16.25 points) came with a high score of MICA of their three physicians (mean 48.83 points). Two correlations were found between two physicians and the total score of patients towards PHQ. The p-value is significant for moderately severe depression and moderate depression. Regarding the correlation between the patients’ PHQ level and one physician, the correlation ratio yielded a strong positive correlation, that is +1 and the p-value is computed at 0.000, in moderately severe depression.

Table 3: Level of satisfaction.

 

 

Level of satisfaction

What is the percentage of your general satisfaction with the medical team?

What is the overall level of your satisfaction with the way the medical team communicates with you during their passage to you?

(F)

(%)

(F)

(%)

Very upset

4

(10.8%)

4

(10.8%)

Upset

4

(10.8%)

7

(18.9%)

Satisfied

19

(51.4%)

19

(51.4%)

Very satisfied

10

(27%)

7

(18.9%)

Total

37

100%

37

100%

 

Table 4: Patients (PHQ- 9) scale in frequencies and percentages.

Scale

Not once

A few days

More than half of days

Almost every day

PHQ- 9 (1)

12 (32.4%)

5 (13.5%)

13 (35.1%)

7 (18.9%)

PHQ- 9 (2)

8 (21.6%)

14 (37.8%)

5 (13.5%)

10 (27%)

PHQ- 9 (3)

11 (29.7%)

11 (29.7%)

8 (21.6%)

7 (18.9%)

PHQ- 9 (4)

9 (24.3%)

11 (29.7%)

12 (32.4%)

5 (13.5%)

PHQ- 9 (5)

13 (35.1%)

4 (10.8%)

10 (27%)

10 (27%)

PHQ- 9 (6)

24 (64.9%)

10 (27%)

1 (2.7%)

2 (5.4%)

PHQ- 9 (7)

16 (43.2%)

12 (32.4%)

7 (18.9%)

2 (5.4%)

PHQ- 9 (8)

20 (54.1%)

6 (16.2%)

8 (21.6%)

3 (8.1%)

PHQ- 9 (9)

32 (86.5%)

3 (8.1%)

1 (2.7%)

1 (2.7%)

The level of difficulties

No difficulty Some difficulty Severe difficulty

Extremely complex difficulties

 

12 (32.4%)

14 (37.8%)

8 (21.6%)

2 (5.4%)

 

Table 5: Correlation between MICA score among the physicians and their Patients (PHQ- 9) scale.

PHQ- 9 group

MICA Mean

PHQ- 9 Mean

r

P- value

MICA score among 3 physicians and the (PHQ- 9) scale of their patients (n=23)

Severe depression (n=3)

48.88

21

.432

.716

Moderately severe depression (n=4)

48.83

16.25

-.594

.406

Moderate depression (n=2)

42

11.50

1.000**

.000

Mild depression (n=8)

46.08

6.25

.010

.981

No depression (n=6)

45.27

1.50

-.084

.874

MICA score among 2 physicians and the (PHQ- 9) scale of their patients (n=10)

Moderately severe depression (n=2)

41.75

15.50

1.000**

.000

Moderate depression (n=2)

48.75

12.50

1.000**

.000

Mild depression (n=3)

42.83

7.33

.941

.219

No depression (n=3)

46

2

.240

.846

MICA score among 1 physician and the (PHQ- 9) scale of their patients (n=4)

Moderately severe depression (n=1)

41

18

1.000**

.000

Moderate depression (n=3)

42.33

11.66

-.936

.229

 

 

DISCUSSION

Quarantine is one of the methods used to limit the transmission of contagious diseases such as SARS in the epidemic period [1,15,16]. For the last two years, the covid-19 pandemic period has been a threat to people’s lives worldwide [17]. Consequently, quarantine has been used to isolate patients who were confirmed with covid-19. However, the isolation and restriction of patient’s freedom could have a dramatic effect on the mental and psychological health of the patients [18]. Additionally, the stigmatizing attitude of the health care workers towards these patients in quarantine could have a more adverse impact on their psychological health. Best of our knowledge, there is no paper that studies the impact of stigmatizing attitudes among physicians on the psychological well-being of isolated COVID-19 patients.

All patients participating in the survey spent more than ten days at the hospital in quarantine. During their stay, nearby 64.9% did not know the consultants who handled their cases. Moreover, 64.9% of the patients had not been seen by their doctors in the last four days before starting the survey (table 2). Approximately 37.8% faced various difficulties (table 4).

The results of this paper showed that the mean total score of the PHQ-9 scale for the patients was about 9.37. This value reflects that most of the cases joining the survey were suffering from moderate depression according to the cut-off of the PHQ-

9 scale [10]. Furthermore, the mean total score of MICA-4 for physicians in our study was 45.35. So far, there is still no interpretation threshold of scores on MICA-4. However, the MICA-4 score varies from 16 to 96 in total. A high MICA-4 score indicates high stigmatizing attitudes. From our study, the MICA-4 score is considered high compared to other studies that used the same scale [19,20].

Our results showed that patients who were in severe depression and moderately severe depression had been under the supervision of three doctors with the highest mean MICA score (table 8). Moreover, patients with moderate depression had been seen by one or two doctors with a high MICA score. Therefore, depression among the patients in the isolation rooms could be strongly connected to the stigmatized attitude of physicians against mental illness. Abandoning patients and not giving them the care that they need from their physicians could cause a more negative psychological effect. Despite the previous numbers, what was interesting in our results was the high satisfaction percentages from the patients about the way of the medical team communication and the general satisfaction. About 70.3% of the patients are satisfied or very satisfied with the medical team’s way of communication and 78.4% of them are in general satisfied or very satisfied with the medical team.

STRENGTH AND LIMITATION

One aspect that reduces the strength of our study is that the sample size was not large from both sides, the patients and the physicians. The precautionary measures to minimize the contact between the staff restrict our data collectors to interview the physicians. Likewise, the admitted COVID-19 patients to KAMC were mostly critical cases due to the nature of the hospital as a tertiary care hospital. It was not easy to find stable and not delirious patients to interview them through the phone. Another limitation in our study is that it would be more accurate if we did PHQ-9 to all our samples from the patients on the first day of their isolation so we can compare it later after the 7th day in the isolation room to test our hypothesis. Although the majority of our sample had not any past psychiatric history, with our method we can not rule out the risk of COVID-19 itself or other factors which could cause depressive symptoms far from the stigmatizing attitude of the physicians.

One of the most important strengths of this study is that, to our knowledge, it could be the first study that searches for the connection between the stigmatizing attitude of the physician against the mental illness and the psychological well-being of the patients in the isolation rooms.

CONCLUSION

The high results of MICA-4 of the responsible physicians have a relatively direct correlation with the high results of PHQ-9 of their COVID-19 patients in the isolation. The patients in quarantine who faced stigmatization attitudes from their physicians could have more risk to develop signs of depression. Other studies with a bigger sample size could help to confirm this correlation. Training workshops and education about the stigma could help to improve the attitudes of health workers towards the patients in isolation.

ACKNOWLEDGMENT

We thank dr. Abdullah AlQahtani, the head of the mental health department in KAMC, for his expertise and significant contribution to improving the study. We thank the following individuals for their assistance throughout the data collection of our sample: Anas Atiyah Alzahrani, Manal Hussain Ali, Rana Khalid Asiri, Rahaf Ali Alhazmi, Shahad Tariq Abdulrahman, and Mohammed Khalid Q Aljuhani.

Conflict of interest and Funding

The authors declared no potential conflicts of interest with respect to the study, authorship, and/or publication of this study. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Ethics approval

Ethical approval from the ethical committee at KAMC (IRB number is 20-628) was obtained at 12-05-2020.

Consent of publication

Obtained.

Authors’ contributions

The main author: Dr. Sami Yahya Saad, conceived and

designed the study.

Doaa Khalid Mohorjy, Data analysis.

Dr. Omniah Mohammedali Andijani, designed and wrote the methods.

Dr. Awatef Mohammed Alhattami, literature review.

All the authors have critically reviewed and approved the final draft and are responsible for the content and similarity index of the manuscript.

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Saad SY, Moharjy DK, Andijani OM, Alhattami AM. The Impact of the Stigma of Mental Illness among the Physicians on the Psychological Well-Being of COVID-19 Patients in the Isolation Rooms. Ann Psychiatry Ment Health 10(2): 1177.

Received : 09 Sep 2022
Accepted : 20 Oct 2022
Published : 24 Oct 2022
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JSM Head and Neck Cancer-Cases and Reviews
ISSN : 2573-1610
Launched : 2016
JSM General Surgery Cases and Images
ISSN : 2573-1564
Launched : 2016
JSM Anatomy and Physiology
ISSN : 2573-1262
Launched : 2016
JSM Dental Surgery
ISSN : 2573-1548
Launched : 2016
Annals of Emergency Surgery
ISSN : 2573-1017
Launched : 2016
Annals of Mens Health and Wellness
ISSN : 2641-7707
Launched : 2017
Journal of Preventive Medicine and Health Care
ISSN : 2576-0084
Launched : 2018
Journal of Chronic Diseases and Management
ISSN : 2573-1300
Launched : 2016
Annals of Vaccines and Immunization
ISSN : 2378-9379
Launched : 2014
JSM Heart Surgery Cases and Images
ISSN : 2578-3157
Launched : 2016
Annals of Reproductive Medicine and Treatment
ISSN : 2573-1092
Launched : 2016
JSM Brain Science
ISSN : 2573-1289
Launched : 2016
JSM Biomarkers
ISSN : 2578-3815
Launched : 2014
JSM Biology
ISSN : 2475-9392
Launched : 2016
Archives of Stem Cell and Research
ISSN : 2578-3580
Launched : 2014
Annals of Clinical and Medical Microbiology
ISSN : 2578-3629
Launched : 2014
JSM Pediatric Surgery
ISSN : 2578-3149
Launched : 2017
Journal of Memory Disorder and Rehabilitation
ISSN : 2578-319X
Launched : 2016
JSM Tropical Medicine and Research
ISSN : 2578-3165
Launched : 2016
JSM Head and Face Medicine
ISSN : 2578-3793
Launched : 2016
JSM Cardiothoracic Surgery
ISSN : 2573-1297
Launched : 2016
JSM Bone and Joint Diseases
ISSN : 2578-3351
Launched : 2017
JSM Bioavailability and Bioequivalence
ISSN : 2641-7812
Launched : 2017
JSM Atherosclerosis
ISSN : 2573-1270
Launched : 2016
Journal of Genitourinary Disorders
ISSN : 2641-7790
Launched : 2017
Journal of Fractures and Sprains
ISSN : 2578-3831
Launched : 2016
Journal of Autism and Epilepsy
ISSN : 2641-7774
Launched : 2016
Annals of Marine Biology and Research
ISSN : 2573-105X
Launched : 2014
JSM Health Education & Primary Health Care
ISSN : 2578-3777
Launched : 2016
JSM Communication Disorders
ISSN : 2578-3807
Launched : 2016
Annals of Musculoskeletal Disorders
ISSN : 2578-3599
Launched : 2016
Annals of Virology and Research
ISSN : 2573-1122
Launched : 2014
JSM Renal Medicine
ISSN : 2573-1637
Launched : 2016
Journal of Muscle Health
ISSN : 2578-3823
Launched : 2016
JSM Genetics and Genomics
ISSN : 2334-1823
Launched : 2013
JSM Anxiety and Depression
ISSN : 2475-9139
Launched : 2016
Clinical Journal of Heart Diseases
ISSN : 2641-7766
Launched : 2016
Annals of Medicinal Chemistry and Research
ISSN : 2378-9336
Launched : 2014
JSM Pain and Management
ISSN : 2578-3378
Launched : 2016
JSM Women's Health
ISSN : 2578-3696
Launched : 2016
Clinical Research in HIV or AIDS
ISSN : 2374-0094
Launched : 2013
Journal of Endocrinology, Diabetes and Obesity
ISSN : 2333-6692
Launched : 2013
Journal of Substance Abuse and Alcoholism
ISSN : 2373-9363
Launched : 2013
JSM Neurosurgery and Spine
ISSN : 2373-9479
Launched : 2013
Journal of Liver and Clinical Research
ISSN : 2379-0830
Launched : 2014
Journal of Drug Design and Research
ISSN : 2379-089X
Launched : 2014
JSM Clinical Oncology and Research
ISSN : 2373-938X
Launched : 2013
JSM Bioinformatics, Genomics and Proteomics
ISSN : 2576-1102
Launched : 2014
JSM Chemistry
ISSN : 2334-1831
Launched : 2013
Journal of Trauma and Care
ISSN : 2573-1246
Launched : 2014
JSM Surgical Oncology and Research
ISSN : 2578-3688
Launched : 2016
Annals of Food Processing and Preservation
ISSN : 2573-1033
Launched : 2016
Journal of Radiology and Radiation Therapy
ISSN : 2333-7095
Launched : 2013
JSM Physical Medicine and Rehabilitation
ISSN : 2578-3572
Launched : 2016
Annals of Clinical Pathology
ISSN : 2373-9282
Launched : 2013
Annals of Cardiovascular Diseases
ISSN : 2641-7731
Launched : 2016
Journal of Behavior
ISSN : 2576-0076
Launched : 2016
Annals of Clinical and Experimental Metabolism
ISSN : 2572-2492
Launched : 2016
Clinical Research in Infectious Diseases
ISSN : 2379-0636
Launched : 2013
JSM Microbiology
ISSN : 2333-6455
Launched : 2013
Journal of Urology and Research
ISSN : 2379-951X
Launched : 2014
Journal of Family Medicine and Community Health
ISSN : 2379-0547
Launched : 2013
Annals of Pregnancy and Care
ISSN : 2578-336X
Launched : 2017
JSM Cell and Developmental Biology
ISSN : 2379-061X
Launched : 2013
Annals of Aquaculture and Research
ISSN : 2379-0881
Launched : 2014
Clinical Research in Pulmonology
ISSN : 2333-6625
Launched : 2013
Journal of Immunology and Clinical Research
ISSN : 2333-6714
Launched : 2013
Annals of Forensic Research and Analysis
ISSN : 2378-9476
Launched : 2014
JSM Biochemistry and Molecular Biology
ISSN : 2333-7109
Launched : 2013
Annals of Breast Cancer Research
ISSN : 2641-7685
Launched : 2016
Annals of Gerontology and Geriatric Research
ISSN : 2378-9409
Launched : 2014
Journal of Sleep Medicine and Disorders
ISSN : 2379-0822
Launched : 2014
JSM Burns and Trauma
ISSN : 2475-9406
Launched : 2016
Chemical Engineering and Process Techniques
ISSN : 2333-6633
Launched : 2013
Annals of Clinical Cytology and Pathology
ISSN : 2475-9430
Launched : 2014
JSM Allergy and Asthma
ISSN : 2573-1254
Launched : 2016
Journal of Neurological Disorders and Stroke
ISSN : 2334-2307
Launched : 2013
Annals of Sports Medicine and Research
ISSN : 2379-0571
Launched : 2014
JSM Sexual Medicine
ISSN : 2578-3718
Launched : 2016
Annals of Vascular Medicine and Research
ISSN : 2378-9344
Launched : 2014
JSM Biotechnology and Biomedical Engineering
ISSN : 2333-7117
Launched : 2013
Journal of Hematology and Transfusion
ISSN : 2333-6684
Launched : 2013
JSM Environmental Science and Ecology
ISSN : 2333-7141
Launched : 2013
Journal of Cardiology and Clinical Research
ISSN : 2333-6676
Launched : 2013
JSM Nanotechnology and Nanomedicine
ISSN : 2334-1815
Launched : 2013
Journal of Ear, Nose and Throat Disorders
ISSN : 2475-9473
Launched : 2016
JSM Ophthalmology
ISSN : 2333-6447
Launched : 2013
Journal of Pharmacology and Clinical Toxicology
ISSN : 2333-7079
Launched : 2013
Medical Journal of Obstetrics and Gynecology
ISSN : 2333-6439
Launched : 2013
Annals of Pediatrics and Child Health
ISSN : 2373-9312
Launched : 2013
JSM Clinical Pharmaceutics
ISSN : 2379-9498
Launched : 2014
JSM Foot and Ankle
ISSN : 2475-9112
Launched : 2016
JSM Alzheimer's Disease and Related Dementia
ISSN : 2378-9565
Launched : 2014
Journal of Addiction Medicine and Therapy
ISSN : 2333-665X
Launched : 2013
Journal of Veterinary Medicine and Research
ISSN : 2378-931X
Launched : 2013
Annals of Public Health and Research
ISSN : 2378-9328
Launched : 2014
Annals of Orthopedics and Rheumatology
ISSN : 2373-9290
Launched : 2013
Journal of Clinical Nephrology and Research
ISSN : 2379-0652
Launched : 2014
Annals of Community Medicine and Practice
ISSN : 2475-9465
Launched : 2014
Annals of Biometrics and Biostatistics
ISSN : 2374-0116
Launched : 2013
JSM Clinical Case Reports
ISSN : 2373-9819
Launched : 2013
Journal of Cancer Biology and Research
ISSN : 2373-9436
Launched : 2013
Journal of Surgery and Transplantation Science
ISSN : 2379-0911
Launched : 2013
Journal of Dermatology and Clinical Research
ISSN : 2373-9371
Launched : 2013
JSM Gastroenterology and Hepatology
ISSN : 2373-9487
Launched : 2013
Annals of Nursing and Practice
ISSN : 2379-9501
Launched : 2014
JSM Dentistry
ISSN : 2333-7133
Launched : 2013
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