Patient Experience and Satisfaction with Pre-hospital Emergency Services during the COVID-19 Pandemic in Mazandaran, Iran
Authors
NahidAghaei1
TaherehYaghoubi2
YahyaSalehTabari3
AliehZamani1
HassanTalebiGhadicolaei5
AbolfazlHosseinNataj6
MohsenSalehTabari7
AbdolJalilKeragholi8
ZoyaHadinejad9✉Phone989112596353Email
1Department of Anesthesiology, Operating Room and Emergencies, School of Allied Medical SciencesMazandaran University of Medical SciencesSariIran
2Department of Nursing Principles and Techniques and Management, Faculty of Nursing and Midwifery, Psychosomatic Research CenterMazandaran University of Medical SciencesSariIran
3
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Pharmaceutical Sciences Research Center, Herbal Medicines and Metabolic Disorders Research Institute, Faculty of MedicineMazandaran University of Medical SciencesSariIran
4Department of Anesthesiology, Intensive Care Medicine and Pain Management and clinical research development unit of imam Khomeini hospital, School of MedicineMazandaran University of Medical SciencesSari, MazandaranIran
5Deputy of Treatment, Emergency Medical Services and Incident Management CenterMazandaran University of Medical SciencesSariIran
6Department of Biostatistics and Epidemiology, School of HealthMazandaran University of Medical SciencesSariIran
7Health NetworkMazandaran University of Medical SciencesBabolsarIran
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Emergency Medical Services and Incident Management CenterGolestan University of Medical SciencesGorganIran
9
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Department of Emergency Medicine, School of Allied Medical SciencesMazandaran University of Medical SciencesSariIran
Nahid Aghaei1, Tahereh Yaghoubi2, Yahya Saleh Tabari3, Alieh Zamani4, Hassan Talebi Ghadicolaei5, Abolfazl Hossein Nataj6, Mohsen Saleh Tabari7, Abdol Jalil Keragholi8, and Zoya Hadinejad9*
1.Department of Anesthesiology, Operating Room and Emergencies, School of Allied Medical Sciences. Mazandaran University of Medical Sciences, Sari, Iran.
2. Department of Nursing Principles and Techniques and Management, Faculty of Nursing and Midwifery, Psychosomatic Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
3. Pharmaceutical Sciences Research Center, Herbal Medicines and Metabolic Disorders Research Institute, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
4.Associate Professor, Department of Anesthesiology, Intensive Care Medicine and Pain Management and clinical research development unit of imam Khomeini hospital ,School of Medicine, Mazandaran University of Medical Sciences, Sari, Mazandaran, Iran,
5. Deputy of Treatment, Emergency Medical Services and Incident Management Center, Mazandaran University of Medical Sciences, Sari, Iran.
6. Department of Biostatistics and Epidemiology, School of Health,Mazandaran University of Medical Sciences, Sari, Iran.
7. Health Network, Mazandaran University of Medical Sciences, Babolsar, Iran.
8. Emergency Medical Services and Incident Management Center, Golestan University of Medical Sciences, Gorgan, Iran.
9. Department of Emergency Medicine, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran.Email:zoya.hadian@yahoo.com.Tel:989112596353.
*Corresponding Author: Zoya Hadinejad, Department of Emergency Medicine, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran.Email:zoya.hadian@yahoo.com.Tel:989112596353.
Abstract
Background
Failure to identify patient expectations can lead to dissatisfaction with the care provided, reduced adherence to treatment, and inefficient use of health resources.
Objectives
Given the pivotal role of EMS as one of the key health indicators in times of epidemics, this study aimed to explore the experience and satisfaction of patients with COVID-19 who received EMS Care in Mazandaran Province during the pandemic.
Methods
This mixed-method study was conducted using both quantitative and qualitative approaches. The first phase employed a descriptive cross-sectional design, including all COVID-19 patients who received pre-hospital emergency care in Mazandaran during the second half of 2020 and throughout 2021. The second phase adopted qualitative content analysis based on Corbin’s (2015) constant comparative method to analyze participants’ experiences with EMS care during the same period.
Results
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A total of 503 patients participated in the quantitative phase; 258 (51.3%) were female. The mean age of participants was 57.27 ± 17.12 years. The mean satisfaction score was 81.83 ± 7.66 (range: 52–98). In the qualitative phase, after 34 interviews, data saturation was achieved. Thematic analysis identified four major categories: shortage of human resources, equipment, and logistics; delays in service delivery; care beyond expectations; and non-defensive driving..
Conclusion
t is imperative to strengthen infrastructure, augment human resources, provide essential medical equipment, and deliver specialized personnel training. Furthermore, the implementation of advanced communication and geolocation technologies has the potential to reduce response times significantly.it is crucial to prioritize investments in infrastructure development and resource management.
Keywords:
Patient satisfaction
Pre-hospital emergency services
Pandemic
COVID-19
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1- Introduction
Patient satisfaction has become a critical concept in modern healthcare, although attention to this notion dates back to the 1950s (1). In recent years, assessing the quality of health services from the patients’ perspective has gained increasing importance, as it is their right to evaluate and express opinions about the care they receive (2). Measuring patient satisfaction is considered a key indicator of service quality, and improving the quality of healthcare requires an accurate understanding of the current situation and identification of existing challenges.
The success of all organizations—whether production-oriented or service-based, public or private—is influenced by numerous factors, among which satisfaction is one of the most significant (3). Over the past 25 years, incorporating patients’ views into the evaluation of healthcare services has become increasingly emphasized. In every field, understanding the clients’ perception of services plays a vital role and is essential for ensuring continuous quality improvement (4).
In healthcare systems, the first point of contact in critical situations is often the pre-hospital emergency service. Pre-hospital emergency care refers to a set of activities designed to address urgent health needs outside of hospital facilities (5). Emergency medical services (EMS) centers are regarded worldwide as one of the essential pillars of healthcare delivery, with the primary goal of providing effective, patient-centered care in the shortest possible time and in line with international scientific standards (6). As the frontline of treatment, pre-hospital emergency units manage the most urgent and life-threatening cases before patients receive any care in hospital emergency departments. Therefore, patient satisfaction with this system can significantly influence their overall satisfaction with the broader healthcare system (79).
Previous studies have identified several factors affecting patient satisfaction with pre-hospital emergency services, including inappropriate selection of destination hospitals, inadequate management of patient conditions, and poor communication between EMS staff and patients (7).
Emergency medical services also play a pivotal role in managing public health emergencies such as infectious disease outbreaks. COVID-19 was a significant public health challenge, officially declared a pandemic by the World Health Organization on March 11, 2020 (10). With over 7 million deaths worldwide and 146,837 confirmed deaths in Iran as of July 15, 2025 (11), this crisis imposed unprecedented challenges on national healthcare systems, far beyond those encountered under normal conditions (12).
Since the COVID-19 pandemic will not be the last epidemic, and given that failure to identify patient expectations may lead to dissatisfaction, poor treatment adherence, and inefficient use of health resources, understanding patient experiences remains essential. Considering the importance of pre-hospital emergency services as a critical component of community health during epidemics, this study was conducted to investigate the experiences and satisfaction of COVID-19 patients who were transferred to healthcare facilities by pre-hospital emergency personnel in Mazandaran Province during the pandemic.
2- Methods
Study design
This mixed-method study was conducted in two phases. The first phase was a descriptive-analytical, cross-sectional study.
Study population (Phase 1)
The study population included patients with confirmed COVID-19 who received pre-hospital emergency services in Mazandaran Province during the second half of 2020 and throughout 2021.
Sampling method (Phase 1)
For data collection, proportional stratified random sampling was applied. Based on the number of patients transferred from each EMS base, a quota was determined, and participants were then randomly selected across different days of the week within each stratum.
Sample size calculation (Phase 1)
The sample size was calculated using the following formula and based on the results of Askari et al. (18):
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Inclusion and exclusion criteria (Phase 1)
All COVID-19 patients who were transferred to hospitals by Mazandaran pre-hospital emergency ambulances, aged over 12 years, and with an adequate level of consciousness, were eligible to participate. Inclusion also required full completion of the questionnaire.
Exclusion criteria included: failure to establish contact with the patient, unwillingness to participate, incomplete data, or inability to recall responses to the questions.
Data collection tools (Phase 1)
Demographic data were collected using a demographic questionnaire that included age, sex, date and time of EMS call, mission location, education level, occupation, history of chronic illness, type of illness, reason for contacting EMS, previous EMS use, number of calls, duration of services received, and patient condition at the time of contact, among others.
Patient satisfaction was assessed using a questionnaire developed by merging two validated tools: the Emergency Care Satisfaction Scale (12) and the instrument previously applied in a study evaluating patient satisfaction with pre-hospital emergency services in Yazd, Iran (13).
The final questionnaire consisted of 21 items: 19 items on a five-point Likert scale (ranging from 1 = very poor to 5 = very good) and two items on a three-point Likert scale (1 to 3). The total score ranged from 21 to 101, with higher scores indicating greater satisfaction.
Data analysis (Phase 1)
Descriptive statistics, including mean, standard deviation, frequency, and percentage, were used to summarize the variables. Independent t-tests and analysis of variance (ANOVA) were performed to compare mean satisfaction scores across subgroups. Pearson correlation coefficient was applied to examine associations between continuous variables. To control for confounding factors and identify determinants of satisfaction scores, linear regression analysis was conducted. All analyses were performed using SPSS software, version 22, with a significance level set at p < 0.05.
Phase 2 of the study
In the second phase, qualitative content analysis was applied using Corbin’s (2015) constant comparative method to analyze participants’ experiences with pre-hospital emergency services during the COVID-19 pandemic. This method is particularly suitable for exploring new phenomena or studying a phenomenon from a novel perspective. Qualitative content analysis provides a comprehensive and condensed description of a phenomenon, resulting in categories or concepts that capture its essence (14). When limited quantitative information exists regarding perceptions of a phenomenon, qualitative design enables researchers to explore human experiences in their unique contexts (15). Data were collected directly from participants without any prior assumptions (16).
Participants (Phase 2)
Participants were selected through purposive sampling. From the quantitative phase, patients who expressed willingness and were able to share their experiences of receiving pre-hospital emergency services in Mazandaran during the COVID-19 pandemic were recruited.
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Inclusion required both a desire to participate and the ability to articulate experiences. To ensure maximum diversity, participants were selected across different age groups, cities, and times of day. Sampling continued until data saturation was reached, meaning no new concepts emerged and findings became repetitive.
Inclusion and exclusion criteria (Phase 2)
Inclusion criteria were sufficient awareness to answer interview questions and willingness to participate.
Exclusion criteria included failure to establish contact or unwillingness to participate.
Data collection tools (Phase 2)
Data on patient experiences with COVID-19 pre-hospital emergency services were gathered through in-depth, semi-structured interviews (16, 17). Semi-structured interviews were chosen as the primary strategy because they allow flexibility and depth in qualitative research. Data collection was conducted from September 2020 to March 2022. The duration of interviews ranged from 32 to 40 minutes (average: 32 minutes). A total of 34 interviews were conducted in this phase.
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After obtaining necessary approvals, the researcher introduced themselves, explained the study objectives, and built rapport and trust.
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Upon verbal informed consent, interviews were conducted by telephone (due to pandemic-related restrictions). Using guiding questions, interviews began with broad, open-ended inquiries such as: “What was your experience of receiving services from the Mazandaran pre-hospital emergency system during the COVID-19 pandemic? What challenges or problems did you encounter in managing COVID-19?” Interviews then progressed with more specific questions based on emerging concepts and study objectives. Probing questions were used when necessary, for example: “What interventions were carried out for you from the time the EMS team arrived at your side until your admission to the hospital?”
Data analysis (Phase 2)
For analysis, all interviews were transcribed verbatim immediately after repeated listening. Data were analyzed using the constant comparative method (14). In the first step, meaning units were identified, followed by open coding. Codes were then grouped based on similarities and differences, resulting in the formation of main categories and subcategories.
Ethical considerations
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This study was approved by the Ethics Committee of Mazandaran University of Medical Sciences (approval code: IR.MAZUM.REC.1399.883; date: January 27, 2021).
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Verbal informed consent was obtained from all participants in both quantitative and qualitative phases. Participants were assured that all information collected would remain strictly confidential, anonymized, and used solely for analysis purposes.
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Ethical principles, including confidentiality and trustworthiness, were strictly maintained throughout both study phases. Participants were also informed of their right to withdraw freely from the study at any stage without any consequences.
3- Results
A total of 503 patients participated in this study, of whom 258 (51.3%) were female and the remainder male. The mean age of participants was 57.27 ± 17.12 years. Most participants had attained university-level education. Additional demographic and clinical information is presented in Table 1.
The mean satisfaction score with pre-hospital emergency services was 81.83 ± 7.66, with scores ranging from 52 to 98. Overall, 92.8% of participants rated EMS performance as “good” or “very good.” Table 2 presents the mean satisfaction scores according to the studied variables. As shown, chronic illness status, time of EMS call, and patient condition at the time of contact were significantly associated with satisfaction scores. Patients with chronic diseases, those who called in the morning, and semi-conscious patients reported the highest levels of satisfaction.
Table 1
Descriptive characteristics and comparison of mean satisfaction scores with pre-hospital emergency services according to study variables
Variable
N (%)
Mean
Standard deviation (SD)
F/t (p-value)
Gender
Male
245 (48.7)
81.29
7.97
1.56 (0.121)
Female
258 (51.3)
82.35
7.32
Education
Illiterate
38 (7.6)
82.06
9.23
0.252 (0.860)
Below diploma
145 (28.8)
82.21
7.20
Diploma
138 (27.4)
81.44
6.67
University
182 (36.2)
81.77
8.37
Occupation
Self-employed
179 (35.6)
81.42
7.72
0.35 (0.792)
Employee
70 (13.9)
81.79
8.06
Retired
68 (13.5)
82.43
5.89
Other
186 (37.0)
82.02
8.04
Chronic disease
No
260 (51.7)
81.13
7.87
2.13 (0.033)
Yes
243 (48.3)
82.58
7.36
Time of call
Morning
186 (37.0)
83.63
7.10
10.94 (< 0.001)
Afternoon
126 (25.0)
81.92
7.33
Night
191 (38.0)
80.02
7.99
Incident location
Urban
337 (67.0)
82.00
7.82
0.69 (0.488)
Rural
166 (33.0)
81.49
7.317
Previous EMS use
No
212 (42.1)
81.09
7.706
1.85 (0.064)
Yes
291 (57.9)
82.37
7.59
Patient condition at the time of contact
Conscious
246 (48.9)
81.18
8.22
3.60 (0.028)
Semi-conscious
221 (43.9)
82.82
6.35
Unconscious
36 (7.2)
80.20
10.10
Responder completing the questionnaire
Companion
39 (7.8)
82.20
7.52
0.31 (0.754)
Patient
464 (92.2)
81.80
7.67
 
Standard deviation (SD)
 
Correlation
p-value
Age
57.27 (17.12)
-
0.050
0.264
In Table 2, the factors influencing satisfaction scores with EMS were reported using linear regression analysis. As shown, the variables of time of call and previous EMS use had a significant effect on satisfaction. The mean satisfaction score was 1.85 and 3.68 points lower for calls made in the afternoon and at night, respectively, compared with morning calls. In addition, patients who had previously used EMS reported significantly higher satisfaction scores (1.86 points) compared to those with no prior EMS use. Other variables showed no significant association with satisfaction scores.
Table 2
– Variables affecting satisfaction scores with EMS based on linear regression
Variable
Beta coefficient (b)
Standard error (SE)
Test statistic (z)
p-value
Time of call
Morning
Reference
   
Afternoon
-1.85
0.87
2.13
0.033
Night
-3.68
0.79
4.66
< 0.001
Previous EMS use
No
Reference
   
Yes
1.86
0.69
2.73
0.007
The second phase of the study was conducted to explore the experiences of patients with COVID-19 who had utilized pre-hospital emergency services in Mazandaran during the pandemic. Based on interview responses, the most common interventions provided to patients before hospital transfer included oxygen therapy, intravenous access, patient transport by stretcher, history-taking, and medical consultation.
Regarding the use of personal protective equipment (PPE) by EMS personnel, 47% of patients reported that staff adhered to protective measures, 30% stated they did not, and 23% could not recall whether the staff used protective equipment. Concerning patient education, 20% reported receiving some form of instruction, 56% stated they did not, and 24% could not remember whether any education was provided by EMS personnel. Findings related to additional interview questions are presented in Table 3.
Table 3
– Satisfaction of patients with COVID-19 regarding pre-hospital emergency services
Questions
Very good
Good
Moderate
Poor
Very poor
• How do you evaluate the attention of the EMS dispatch (115) staff to your statements during the call?
103
(20.5%)
366
(72.8%)
25
(5%)
2
(0.4%)
7
(1.4%)
• How do you assess the knowledge of EMS (115) responders regarding your condition?
110
(21.9%)
343
(68.2%)
44
(8.7%)
4
(0.8%)
2
(0.4%)
• While waiting for the ambulance, did EMS follow up on your condition (e.g., guide actions to take until arrival)?
105
(20.9%)
344
(68.4%)
43
(8.5%)
3
(0.6%)
8
(1.6%)
• How do you rate the speed of examination / initial interventions after the EMS team arrived?
89
(17.7%)
401
(79.7%)
6
(1.2%)
7
(1.4%)
0
(0%)
• Did the EMS staff show a sense of responsibility?
236
(46.9%)
219
(43.5%)
25
(5%)
21
(4.2%)
2
(0.4%)
• How was the behavior of EMS technicians towards the patient/companions?
240
(47.7%)
217
(43.1%)
29
(5.8%)
15
(3%)
2
(0.4%)
• How do you evaluate the empathy of EMS technicians with the patient’s pain, fear, and anxiety?
238
(47.3%)
213
(42.3%)
33
(6.6%)
17
(3.4%)
2
(0.4%)
• How do you assess the attention and accuracy of EMS technicians?
227
(45.1%)
233
(46.3%)
33
(6.6%)
10
(2%)
0
(0%)
• Did the technician have sufficient theoretical knowledge about the disease?
135
(26.8%)
335
(66.6%)
24
(4.8%)
9
(1.8%)
0
(0%)
• Did the technician have adequate practical knowledge and experience in dealing with the problem?
114
(22.7%)
349
(69.4%)
28
(5.6%)
12
(2.4%)
0
(0%)
• Did the EMS staff provide sufficient explanations about the procedures performed?
71
(14.1%)
294
(58.4%)
129
(25.6%)
9
(1.8%)
0
(0%)
• How do you rate the quality of examination / initial interventions by the EMS team?
65
(12.9%)
396
(78.7%)
33
(6.6%)
9
(1.8%)
0
(0%)
• How do you evaluate the EMS team’s proficiency in using medical equipment?
53
(10.5%)
422
(83.9%)
25
(4.8%)
3
(0.8%)
0
(0%)
• How do you assess the adequacy of EMS equipment and facilities for managing your condition?
31
(6.2%)
447
(88.9%)
17
(3.4%)
2
(0.4%)
6
(1.2%)
• How much relief did you feel upon seeing the ambulance and EMS staff?
117
(23.3%)
344
(68.4%)
26
(5.2%)
16
(3.2%)
0
(0%)
• Were the technicians available and accessible to you during the entire transfer (from the scene/home to hospital admission)?
50
(9.9%)
368
(73.2%)
54
(10.7%)
31
(6.2%)
0
(0%)
• Was the ambulance clean and well-maintained?
71
(14.1%)
403
(80.1%)
14
(2.8%)
10
(2%)
5
(1%)
• Did you feel comfortable and safe in the ambulance?
86
(17.1%)
372
(74%)
16
(3.2%)
51
(10.1%)
8
(1.6%)
• How do you rate the method of patient transfer into the ambulance?
31
(6.2%)
438
(87.1%)
20
(4%)
13
(2.6%)
0
(0%)
• How do you evaluate the speed of transfer to the hospital?
45
(8.9%)
433
(86.1%)
23
(4.6%)
7
(1.4%)
0
(0%)
• How do you evaluate the length of waiting time until the ambulance arrived?
60
(11.9%)
392
(77.9%)
30
(6%)
20
(4%)
5
(1%)
Participants’ experiences led to the identification of four main categories: shortage of human resources, equipment, and logistics; delays in service delivery; care beyond expectations; and non-defensive driving. The main categories, subcategories, and extracted codes are presented in Table 4.
Table 4
– Main categories, subcategories, and conceptual codes extracted from patients’ experiences
Categories
Subcategories
Codes
1. Shortage of human resources, equipment, and logistics
Worn-out and outdated ambulances
• Use of old and worn-out ambulances
• Non-standard ambulance cabins for patient care
• Ambulance breakdown during missions
Lack of medical and consumable equipment
• Shortage of personal protective equipment (PPE) for patients and staff
• Malfunction of medical and consumable equipment
• Shortage of MICU codes
Inadequate human resources
• Lack of female staff in the province
• Inexperienced staff in dealing with the pandemic
• Insufficient staff at the communications and operations center
4. Delay in service delivery
Delay in dispatching EMS codes
• Insufficient number of EMS bases relative to the covered population
• Busy lines due to high call volume
• Lack of standardized criteria for telephone triage
Inability to locate addresses accurately
• Use of non-local staff unfamiliar with the region
• Inactive patient GPS
• Lack of precise geolocation software
Challenges in providing services to the elderly and vulnerable groups
• Uncertainty in managing socially and psychologically vulnerable patients
• Lack of protocols for transferring unaccompanied patients
• Overlap of COVID-19 symptoms with chronic diseases in the elderly
7. Care beyond expectations
Parent–child-like care
• No mechanism for compensating staff efforts
• Care provided at the cost of personal risk
• Taking on the role of a child for patients
Proficient and competent in care delivery
• Exceptional and outstanding care
• Skilled and hardworking during missions
• Maximizing limited resources
9. Non-defensive driving
High-speed and unsafe driving
• Driving at high speed and dangerously
• Not considering the patient’s condition during severe movements
• Ignoring adverse weather or road conditions
Lack of stability of the ambulance cabin fixtures
• Unstable fittings and medical/consumable equipment in the patient cabin
• Inadequate fixation of the patient to the stretcher
• Risk of the patient falling during transport
Category 1: Shortage of human resources, equipment, and logisticsThe first and most crucial category extracted from participants’ experiences was the shortage of human resources, equipment, and logistics. This category included three subcategories: worn-out ambulances, lack of medical and consumable equipment, and inadequate human resources.
Worn-out ambulances: Participants reported that one of their significant experiences with pre-hospital emergency services was the use of old and dilapidated ambulances. For example, one participant stated:“The ambulance was very old and worn out. During the mission, it broke down, and they had to coordinate with the center to send another ambulance to transfer our patient to the hospital.”
Lack of medical and consumable equipment: Patients and their companions also mentioned shortages of essential medical and consumable supplies during the COVID-19 pandemic, such as personal protective equipment (PPE), oxygen cylinders, and ventilators. One participant noted:“Some of the equipment did not work properly. But honestly, we couldn’t expect more. With such limited resources, they really did their best.”
Inadequate human resources: Another subcategory was the shortage of EMS personnel. As one participant described:“Especially in the early days of the COVID-19 outbreak, it was tough to get an ambulance. The phone lines were often busy, and they told us their teams were on missions and we had to wait until they finished with another patient and could come to us.”
Category 2: Delays in service deliveryThe second extracted category was delays in pre-hospital emergency service delivery. This category consisted of three subcategories: delays in dispatching codes, inability to locate addresses accurately, and challenges in providing services to elderly and vulnerable groups.
Delays in dispatching codes: During the first and second waves of COVID-19, due to insufficient experience in managing the pandemic and the absence of standardized criteria for dispatching codes, EMS centers across the country faced shortages of codes and ambulances for transporting patients. As one participant explained:“We called several times, and they said there was no ambulance available. Even if we wanted to take the patient ourselves, the hospital wouldn’t admit them, saying there was no space. We were left begging and waiting until an ambulance returned from another mission.”
Inability to accurately locate addresses: This subcategory included the use of non-local staff unfamiliar with the region, inactive patient GPS systems, and a lack of precise geolocation software. For instance, one participant stated:“I wish they used local staff. They had a lot of trouble finding addresses. In our area, in the western part of the province, most of the staff were not local and didn’t know the neighborhoods well, so they arrived late to the patient.”
Challenges in serving elderly and vulnerable groups: According to participants, Mazandaran’s pre-hospital EMS lacked adequate facilities and policies for providing care to vulnerable populations and older people. One participant remarked:“During the COVID-19 outbreak, people were afraid to get close to patients. My father was alone at home after the infection, and when EMS arrived, no one was there. They did their best to take care of him, but transferring him was difficult. He refused to go, and there was no one to accompany him. I wish there were more facilities to provide home-based care in such situations.”
Category 3: Care beyond expectationsSome participants reported that pre-hospital emergency services went beyond their expected duties during the pandemic, providing care with skill and compassion. As one participant expressed:“God bless them; they did things that even a child wouldn’t do for their parents. They saved my life. The EMS staff were truly excellent.”
Category 4: Non-defensive drivingThe final category included subcategories such as high-speed and unsafe driving, and unstable fittings in the rear cabin of the ambulance. According to participants, EMS technicians often failed to follow defensive driving principles, resulting in severe shaking and discomfort in the patient cabin. As one participant described:“They drove very fast, and we were tossed around in the back of the ambulance as if everything was about to fall and collapse.”
4- Discussion
This study aimed to assess the satisfaction of patients with COVID-19 regarding pre-hospital emergency services in Mazandaran Province. Overall, the findings demonstrated a high level of satisfaction, with 92.8% of participants rating EMS performance as good or very good. The mean satisfaction score was 81.83 out of 101, reflecting relatively high patient satisfaction with the services provided, which is consistent with the findings of Talebi et al. (9). In contrast, studies conducted in Yazd and Birjand reported moderate levels of satisfaction among EMS service recipients (18). Nevertheless, several factors, such as time of call and previous EMS use, were significantly associated with patient satisfaction.
Time of call
Patients who used EMS in the morning reported higher satisfaction compared with those who called in the afternoon or at night. This difference may be attributed to increased workload and staff fatigue during night shifts, reduced access to resources outside of official working hours, or a higher call volume at night.
Previous EMS use
Patients with prior experience using EMS services expressed higher satisfaction compared with first-time users. This may be due to their greater familiarity with EMS processes and more realistic expectations of the services provided. Additionally, these patients may be better able to evaluate service quality compared with those encountering EMS for the first time.
Patient condition
Semi-conscious patients reported greater satisfaction with EMS services compared with conscious or unconscious patients. This could be explained by their heightened ability to perceive and assess the services they received. In contrast, unconscious patients may have had limited awareness of the interventions performed, leading to lower reported satisfaction.
Chronic illness
Patients with chronic conditions also reported higher satisfaction levels. This might be related to their frequent interactions with the healthcare system, resulting in more realistic expectations of EMS services. Moreover, EMS staff may have demonstrated greater attention and care when managing patients with chronic illnesses.
These findings are consistent with previous studies, which have highlighted relatively high satisfaction levels with pre-hospital emergency services in both routine and crises (19). However, patient experiences in the present study also revealed significant challenges in service delivery, particularly during the COVID-19 pandemic.
Shortage of human resources, equipment, and logisticsOne of the most important findings of this study was the shortage of human resources and medical equipment in pre-hospital emergency services in Mazandaran. Patients particularly emphasized the use of outdated ambulances, lack of personal protective equipment (PPE), and shortages of medical devices. This finding is consistent with studies conducted in other countries during the COVID-19 pandemic (20, 21). For example, Sheikhi et al. (2020) also reported that shortages of protective and medical equipment were among the main challenges in delivering pre-hospital emergency services in Iran (22). Such shortages not only compromise the quality of care but also increase the risk of disease transmission to both staff and patients (23). Similarly, Heidari et al. highlighted that both individual and systemic challenges were major issues faced by pre-hospital emergency staff during the COVID-19 pandemic (24). Moreover, according to Hadian et al., EMS staff suffered from a wide range of psychiatric problems due to insufficient equipment and excessive workloads, which negatively impacted the quality of pre-hospital emergency care (25, 26).
Delays in service deliveryAnother challenge reported in this study was delays in dispatching EMS codes and difficulties in accurate address identification. This issue was particularly evident during the early waves of the pandemic, when the volume of EMS calls increased dramatically. Dispatchers responsible for telephone triage and EMS field personnel faced multiple interactive, organizational, and professional challenges (27). Other studies have similarly shown that during crises such as pandemics, pre-hospital emergency systems encounter severe difficulties in managing the high volume of requests (28, 29). In addition, the lack of familiarity of some EMS personnel with local geography further delayed response times, highlighting the need for advanced geolocation technologies and the recruitment or training of local staff.
Care beyond expectationsDespite these challenges, many patients expressed satisfaction with the care they received and reported positive experiences with the professionalism and compassion of EMS technicians. These findings demonstrate the dedication and commitment of EMS staff under the difficult circumstances of the pandemic. Similar studies have also shown that respectful and empathetic behavior by healthcare professionals can significantly enhance patient satisfaction (30).
Non-defensive drivingOne of the negative experiences reported by patients was high-speed and unsafe driving by EMS technicians, which posed risks to both patients and their companions. This highlights the need for ongoing training in defensive driving and closer supervision of EMS drivers’ performance.
5- Conclusions
Based on the findings of this study, it can be concluded that despite resource and equipment limitations, pre-hospital emergency services in Mazandaran were able to provide an acceptable level of patient satisfaction during the COVID-19 pandemic. However, improving service quality requires strengthening infrastructure, increasing human resources, ensuring adequate medical equipment, and providing specialized personnel training. Furthermore, the adoption of modern communication and geolocation technologies could help reduce response times. Ultimately, investment in infrastructure development and resource management is essential to ensure the quality of services during future crises.
Study limitations
This study has several limitations. First, data were collected through telephone interviews, which may have been influenced by recall bias or social desirability bias. Second, the study was conducted only in one province (Mazandaran), which may limit the generalizability of the findings to other regions. Third, certain potentially influential variables, such as patients’ socioeconomic status and EMS staff experience, were not assessed.
Acknowledgments
The authors wish to express their gratitude to the EMS experts in Mazandaran for their valuable assistance in conducting this research.
A
Author Contribution
Z.H. and N.A. developed the original study proposal and wrote the Draft manuscript. M.S, and A.J.K and H.T. performed data collection and processing.A.H.N. and A.Z. conducted the statistical analysis. T.Y. and Z.H and N.A Did the Final editing and translation of the article All authors critically revised the manuscript and approved the final version.
A
Funding
A
Financial resources for the design of the present study provided by Mazandaran University of Medical Science.
A
Data Availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethics approval and consent to participate
A
A
This study was conducted in accordance with the ethical principles of the Ethics Committee of Mazandaran University of Medical Sciences, which has approved this study. (approval code: IR.MAZUM.REC.1399.883; date: January 27, 2021). Participants gave their informed consent before inclusion in the study. Participants were assured that their identity would remain anonymous, and results would be published without disclosing any personal information.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
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Table 1. Descriptive characteristics and comparison of mean satisfaction scores with pre-hospital emergency services according to study variables
Variable
N (%)
Mean
Standard deviation (SD)
F/t (p-value)
Gender
Male
245 (48.7)
81.29
7.97
1.56 (0.121)
Female
258 (51.3)
82.35
7.32
Education
Illiterate
38 (7.6)
82.06
9.23
0.252 (0.860)
Below diploma
145 (28.8)
82.21
7.20
Diploma
138 (27.4)
81.44
6.67
University
182 (36.2)
81.77
8.37
Occupation
Self-employed
179 (35.6)
81.42
7.72
0.35 (0.792)
Employee
70 (13.9)
81.79
8.06
Retired
68 (13.5)
82.43
5.89
Other
186 (37.0)
82.02
8.04
Chronic disease
No
260 (51.7)
81.13
7.87
2.13 (0.033)
Yes
243 (48.3)
82.58
7.36
Time of call
Morning
186 (37.0)
83.63
7.10
10.94 (< 0.001)
Afternoon
126 (25.0)
81.92
7.33
Night
191 (38.0)
80.02
7.99
Incident location
Urban
337 (67.0)
82.00
7.82
0.69 (0.488)
Rural
166 (33.0)
81.49
7.317
Previous EMS use
No
212 (42.1)
81.09
7.706
1.85 (0.064)
Yes
291 (57.9)
82.37
7.59
Patient condition at the time of contact
Conscious
246 (48.9)
81.18
8.22
3.60 (0.028)
Semi-conscious
221 (43.9)
82.82
6.35
Unconscious
36 (7.2)
80.20
10.10
Responder completing the questionnaire
Companion
39 (7.8)
82.20
7.52
0.31 (0.754)
Patient
464 (92.2)
81.80
7.67
 
Standard deviation (SD)
 
Correlation
p-value
Age
57.27 (17.12)
-
0.050
0.264
In Table 2, the factors influencing satisfaction scores with EMS were reported using linear regression analysis. As shown, the variables of time of call and previous EMS use had a
Table 2 – Variables affecting satisfaction scores with EMS based on linear regression
Variable
Beta coefficient (b)
Standard error (SE)
Test statistic (z)
p-value
Time of call
Morning
Reference
   
Afternoon
-1.85
0.87
2.13
0.033
Night
-3.68
0.79
4.66
< 0.001
Previous EMS use
No
Reference
   
Yes
1.86
0.69
2.73
0.007
Table 3 – Satisfaction of patients with COVID-19 regarding pre-hospital emergency services
Questions
Very good
Good
Moderate
Poor
Very poor
• How do you evaluate the attention of the EMS dispatch (115) staff to your statements during the call?
103
(20.5%)
366
(72.8%)
25
(5%)
2
(0.4%)
7
(1.4%)
• How do you assess the knowledge of EMS (115) responders regarding your condition?
110
(21.9%)
343
(68.2%)
44
(8.7%)
4
(0.8%)
2
(0.4%)
• While waiting for the ambulance, did EMS follow up on your condition (e.g., guide actions to take until arrival)?
105
(20.9%)
344
(68.4%)
43
(8.5%)
3
(0.6%)
8
(1.6%)
• How do you rate the speed of examination / initial interventions after the EMS team arrived?
89
(17.7%)
401
(79.7%)
6
(1.2%)
7
(1.4%)
0
(0%)
• Did the EMS staff show a sense of responsibility?
236
(46.9%)
219
(43.5%)
25
(5%)
21
(4.2%)
2
(0.4%)
• How was the behavior of EMS technicians towards the patient/companions?
240
(47.7%)
217
(43.1%)
29
(5.8%)
15
(3%)
2
(0.4%)
• How do you evaluate the empathy of EMS technicians with the patient’s pain, fear, and anxiety?
238
(47.3%)
213
(42.3%)
33
(6.6%)
17
(3.4%)
2
(0.4%)
• How do you assess the attention and accuracy of EMS technicians?
227
(45.1%)
233
(46.3%)
33
(6.6%)
10
(2%)
0
(0%)
• Did the technician have sufficient theoretical knowledge about the disease?
135
(26.8%)
335
(66.6%)
24
(4.8%)
9
(1.8%)
0
(0%)
• Did the technician have adequate practical knowledge and experience in dealing with the problem?
114
(22.7%)
349
(69.4%)
28
(5.6%)
12
(2.4%)
0
(0%)
• Did the EMS staff provide sufficient explanations about the procedures performed?
71
(14.1%)
294
(58.4%)
129
(25.6%)
9
(1.8%)
0
(0%)
• How do you rate the quality of examination / initial interventions by the EMS team?
65
(12.9%)
396
(78.7%)
33
(6.6%)
9
(1.8%)
0
(0%)
• How do you evaluate the EMS team’s proficiency in using medical equipment?
53
(10.5%)
422
(83.9%)
25
(4.8%)
3
(0.8%)
0
(0%)
• How do you assess the adequacy of EMS equipment and facilities for managing your condition?
31
(6.2%)
447
(88.9%)
17
(3.4%)
2
(0.4%)
6
(1.2%)
• How much relief did you feel upon seeing the ambulance and EMS staff?
117
(23.3%)
344
(68.4%)
26
(5.2%)
16
(3.2%)
0
(0%)
• Were the technicians available and accessible to you during the entire transfer (from the scene/home to hospital admission)?
50
(9.9%)
368
(73.2%)
54
(10.7%)
31
(6.2%)
0
(0%)
• Was the ambulance clean and well-maintained?
71
(14.1%)
403
(80.1%)
14
(2.8%)
10
(2%)
5
(1%)
• Did you feel comfortable and safe in the ambulance?
86
(17.1%)
372
(74%)
16
(3.2%)
51
(10.1%)
8
(1.6%)
• How do you rate the method of patient transfer into the ambulance?
31
(6.2%)
438
(87.1%)
20
(4%)
13
(2.6%)
0
(0%)
• How do you evaluate the speed of transfer to the hospital?
45
(8.9%)
433
(86.1%)
23
(4.6%)
7
(1.4%)
0
(0%)
• How do you evaluate the length of waiting time until the ambulance arrived?
60
(11.9%)
392
(77.9%)
30
(6%)
20
(4%)
5
(1%)
Table 4 – Main categories, subcategories, and conceptual codes extracted from patients’ experiences
Categories
Subcategories
Codes
10. Shortage of human resources, equipment, and logistics
Worn-out and outdated ambulances
• Use of old and worn-out ambulances
• Non-standard ambulance cabins for patient care
• Ambulance breakdown during missions
Lack of medical and consumable equipment
• Shortage of personal protective equipment (PPE) for patients and staff
• Malfunction of medical and consumable equipment
• Shortage of MICU codes
Inadequate human resources
• Lack of female staff in the province
• Inexperienced staff in dealing with the pandemic
• Insufficient staff at the communications and operations center
13. Delay in service delivery
Delay in dispatching EMS codes
• Insufficient number of EMS bases relative to the covered population
• Busy lines due to high call volume
• Lack of standardized criteria for telephone triage
Inability to locate addresses accurately
• Use of non-local staff unfamiliar with the region
• Inactive patient GPS
• Lack of precise geolocation software
Challenges in providing services to the elderly and vulnerable groups
• Uncertainty in managing socially and psychologically vulnerable patients
• Lack of protocols for transferring unaccompanied patients
• Overlap of COVID-19 symptoms with chronic diseases in the elderly
16. Care beyond expectations
Parent–child-like care
• No mechanism for compensating staff efforts
• Care provided at the cost of personal risk
• Taking on the role of a child for patients
Proficient and competent in care delivery
• Exceptional and outstanding care
• Skilled and hardworking during missions
• Maximizing limited resources
18. Non-defensive driving
High-speed and unsafe driving
• Driving at high speed and dangerously
• Not considering the patient’s condition during severe movements
• Ignoring adverse weather or road conditions
Lack of stability of the ambulance cabin fixtures
• Unstable fittings and medical/consumable equipment in the patient cabin
• Inadequate fixation of the patient to the stretcher
• Risk of the patient falling during transport
Total words in MS: 5964
Total words in Title: 15
Total words in Abstract: 242
Total Keyword count: 4
Total Images in MS: 0
Total Tables in MS: 8
Total Reference count: 30