Qom Province Research Articles

Relationship between effort–reward imbalance, job satisfaction, and intention to leave the profession among the medical staff of Qom University of Medical Sciences†

Abstract Objective The effort–reward imbalance (ERI) model claims that work that has the characteristics of high effort and low reward has a mutual defect between input and output and this imbalance may result in sustained and long-lasting results. This study aimed to investigate the relationship between the intention to leave the profession (ILP) and ERI and job satisfaction among the medical staff in Qom Province. Methods A descriptive-correlative study was conducted on 202 medical staff in Qom Province based on random sampling in 2018. Demographics checklist, standard ILP, job satisfaction, and Siegrist's ERI questionnaires were used for data collection. The chi-squared test, independent t-test, and one-way Analyses of Variance (ANOVA) were used to analyze data. Results The mean age of employees was 32.04 ± 7.9 years, and 165 (87.1%) of the employees were women. The results showed that the medical staff was willing to leave their profession at a moderate level (40.7 ± 10.3). There was no significant relationship between demographics and ILP. Nevertheless, a significant and inverse relationship was observed between ERI (r:0.318, P < 0.01) and ILP (r: 0.197, P < 0.01). Leave the profession (LP) had a negative correlation with the dimensions of job descriptive index (JDI) such as job, manager, coworker and wage score (P < 0.01, r: −0.147, r: −0.262, r: −0.292, r: −0.271, r: −0.396). Conclusions According to the results, managers need to make sure that their working staff is rewarded as they deserve. According to the results, managers need to ensure that the reward factor is observed for the staff, while an ERI imbalance may contribute to ILP of the staff. On the other hand, it leads to job satisfaction.

A one year follow of patients with multiple sclerosis during COVID-19 pandemic: A cross-sectional study in Qom province, Iran

BackgroundIn the current COVID-19 pandemic, Multiple Sclerosis (MS) patients represent a population of particular interest as they might be at higher risk of COVID-19 infection and it's complications. The present study aimed to investigate a one year follow up of patients with MS during the COVID-19 pandemic, in Qom province, Iran. MethodsThis study was performed at the MS Clinic of Beheshti Hospital from June 1, 2020 to November 1, 2021. 202 patients with a diagnosis of MS and negative self-reported history of COVID-19 at the beginning of the pandemic, were enrolled. First, the demographic characteristics of patients were collected. Second, the patients underwent serological testing for anti-SARS-CoV-2 IgG antibodies. Then, a year later, they were revalauted and asked about the occurrence of clinical relapse leading to hospitalization, disease progression, DMT profile, COVID-19 vaccination, and history of COVID-19 infection. We considered six weeks after COVID-19 regarding relapse occurrence. Eventually, statistical analysis was carried out by using SPSS 26.0 ResultsOf 202 patients, 26 patients (12.87%) had initially a positive index antibody result. During the follow-up periods, 25 patients (12.37%) were infected with COVID-19 which was mainly mild (74.8%), and significantly lower than general population. 118 patients (58.41%) were vaccinated for COVID-19 which reduced the risk of COVID-19 development (P<001). Except a case of myelitis associated with vaccination, no serious adverse event was reported. Additionally, only one patient developed MS relapse following COVID-19 infection. Except clinical relapse (P = 0.001), other demographic and MS characteristics, and DMT type were not associated with COVID-19. In terms of MS course, 12 patients (5.94%) discontinued their DMTs regardless of the DMT adverse events or treatment failure. 41 patients (20.3%) experienced a clinical relapse, of whom 12 were escalated to a second line DMT. Further, 27 patients (13.4%) noted a history of worsening disability which mainly occurred after COIVD-19 infection. ConclusionThe present study showed a significant lower incidence of COVID-19 infection in MS patients. Except for clinical relapse, other demographic and MS characteristics, and DMT type were not associated with COVID-19 infection. In addition, COVID-19 vaccination reduced the risk of COVID-19 development, and the prognosis was favorable in the majority of MS patients.

The Effect of Religiosity on Pro-environmental Behavior Based on the Theory of Planned Behavior: A Cross-Sectional Study Among Iranian Rural Female Facilitators.

Religiosity is one of the most prominent and extensive social factors influencing one’s behavior; however, there is a lack of research analyzing the religiosity impact on pro-environmental behavior, particularly for women in rural areas. To narrow the research gap, this study established a theoretical research model by incorporating religiosity into the Theory of Planned Behavior to explore factors affecting rural female facilitators’ pro-environmental behavior. The extended Theory of Planned Behavior model was consequently tested by empirical data collected from 110 rural female facilitators in Qom Province in the center of Iran. The results of structural equation modeling indicated that subjective norms and environmental attitude were positively and significantly related to pro-environmental intentions. In addition, pro-environmental intentions and perceived behavioral control were found to be significantly associated with pro-environmental behaviors. The results revealed that there was a direct and indirect relationship between religiosity and pro-environmental behaviors via perceived behavioral control. In addition, there was an indirect relationship between religiosity and pro-environmental intentions via subjective norms and environmental attitudes. Therefore, this study revealed that religiosity as social pressure plays an important role in determining pro-environmental intentions and behaviors among rural female facilitators in Iran. Thus, in order to promote pro-environmental behavior, the religiosity aspects should be considered and people should be stimulated to act in a more environmentally friendly mode via religious prism.

The Association of STR markers on 19p13.2 region and polycystic ovarian syndrome susceptibility in Iranian population

Polycystic ovary syndrome (PCOS) is one of the most common endocrine complex and heterogeneous disorders in women. In this case-control study, we investigated the association of 9 short tandem repeats (STRs) located on 19p13.2 and susceptibility of PCOS. This study consisted of 66 women with PCOS as the case group as well as 44 age and ethnically matched healthy women as control groups from Qom province, Iran. The genomic DNA was extracted using a salting-out method from peripheral blood leukocytes. Genotyping was performed using polymerase chain reaction and electrophoresed on the polyacrylamide gel. Some samples with the same size bands on polyacrylamide gel were directly sequenced to confirm repeat numbers. The obtained results indicated that the target STRs are significantly different between patients and healthy controls. However, 19-CA repeat in D19S865 STR was identified as the only disease allele. Clinical analysis indicated that the levels of the anti-mullerian hormone, fasting blood sugar, and body mass index in the case group were significantly more than healthy controls. In conclusion, our study indicated that susceptibility to PCOS is associated with STRs on chromosome 19p13.2. A study with more sample size is needed to clear up this association in the Iranian population. However, more studies on different races and geographic areas are required to determine the exact role of these STRs in the susceptibility of PCOS.

Plasmapheresis with Convalescent Plasma as a Rescue Therapy for COVID-19 Patients: A Case Series

: On December 29, 2019, an epidemic of an infectious disease caused by severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) was declared in Wuhan, China. The first case of COVID-19 in Iran (Qom Province) was reported in February 2020, and within a short period, the number of infected cases increased rapidly around the country. Evidence suggests that the levels of pro-inflammatory cytokines are high in critically ill patients, and there is a correlation between the high level of cytokines and the pathogenesis of COVID-19; consequently, COVID-19 may have complications, such as acute respiratory distress syndrome (ARDS) and even death. These inflammatory factors can lead to a cytokine storm, while counteracting this storm seems to be an effective therapeutic approach. In this case series, we reported two critically ill patients with COVID-19, undergoing plasmapheresis with convalescent plasma, corticosteroid therapy, and interferon administration.

Sodium Dithionite Concentration in Traditional Bread and Health Risk Assessment: A Case Study in Qom City

Background &amp; Aims of the Study: This study aimed to determine sodium dithionite as an additive in traditional bread and its health risk assessment in Qom province and was designed in two stages. Materials and Methods: It was designed in two stages. In the first stage, the concentration of Sodium dithionite in the traditional breads (4 type of bread with code number of 1, 2, 3, and 4) were measured. 70 samples were randomly selected from the bakeries and analyzed by spectrophotometer in 560 nm and Instrumental detection limit (LOD) of 1 mg/l. In the second stage, health risk assessment was determined. Required data were extracted by a questionnaire (NUTRIKAP) used as a survey tools for household food basket. The sampling method at households Level at the single stage cluster sampling with sample size was estimated for 456 (57 clusters of 8 people in Qom province). Results: The results of Sodium dithionite test in bread samples showed that in 40% of all samples, Sodium dithionite concentration was 1.23±0.99 ppm. The risk assessment for all age groups showed that the hazard quotient (HQ) was &lt;1. Conclusion: according to the pattern of bread consumption, the daily intake of Sodium dithionite does not pose a significant health risk. However, training to Bakers and bakery workers and related food industries is essential and continuous monitoring of additives in bread is more of concern.

Prevalence and Risk Factors of Cryptosporidium Infection Among Cats and Dogs in Qom Province, Iran

Cryptosporidiosis is an important parasitic disease that is a major health concern for animals and humans in most countries. This cross-sectional study was performed to evaluate the factors associated with the prevalence of Cryptosporidium spp. in cats and dogs in the urban and suburban regions of Qom province, Iran. Faecal samples of 220 dogs and 120 cats were examined for oocysts by formalin ether sedimentation method and Ziehl-Neelsen staining technique. The prevalence was 3.18% for dogs and 10.83% for cats. The oocysts were found in 8.16% diarrhoeic dogs and 27.27% diarrhoeic cats compared to 1.75% and 4.59% non-diarrhoeic dogs (P = 0.024) and cats, respectively (p<0.001). Prevalence was significantly higher in cats below one-year of age (27.77%) than in older cats (7.84%, P = 0.012). There was a significant difference between prevalence of cryptosporidiosis between indoor or outdoor reared animals. Dogs in rural areas had a higher infection rate (5.66%) than dogs in urban regions (0.87%, P = 0.043). The results showed that cryptosporidiosis is an important infection to be considered in differential diagnosis for diarrhoea in cats and dogs in this region. As cryptosporidiosis is a zoonotic disease, owners and veterinarians should be aware of its health considerations.

The efficiency of elemental geochemistry and weathering indices as tracers in aeolian sediment provenance fingerprinting

Confirmation of cost-effective and reliable tracers for aeolian sediment (sand dune) source fingerprinting warrants further research. Accordingly, the main objective of the work reported in this paper was to investigate the efficiency of weathering indices in aeolian sediment fingerprinting using a case study of a fragile arid region in Qom Province, Iran. Eight geochemical elements (Al, Ca, Fe, K, Na, Mg, Si, Ti) and 17 associated weathering indices were measured in 34 aeolian source samples and 10 sand dune target sediment samples in three absolute particulate size fractions. For each fraction, three final composite fingerprints (i.e., geochemical elements only, weathering indices only and a combination of the two) for discerning and ascribing the aeolian sediment sources were selected. The Modified MixSIR Bayesian un-mixing model was used to apportion aeolian source contributions using the final composite fingerprints. Regardless of the composite fingerprint used, all results across the different size fractions suggested that the south-eastern alluvial fan is the dominant (average contribution 50.6%, SD 19.0%) source of the sand dune samples, with the western alluvial fan being the second most important (average contribution 38.4%, SD 20.4%) source. Comparisons of the posterior distributions for the predicted source proportions generated using the nine composite fingerprints (three kinds of composite fingerprints*three particle size fractions) showed that the composite fingerprints combining the geochemical elements and weathering indices generated the most powerful source material discrimination. Our results demonstrate the use of weathering indices alongside more conventional elemental geochemistry tracers for investigations into sand dune sediment provenance.

Mapping and Spatial Pattern Analysis of COVID-19 in Central Iran Using the Local Indicators of Spatial Association (LISA)

BackgroundUsing geographical analysis to identify geographical factors related to the prevalence of COVID-19 infection can affect public health policies aiming at controlling the virus. This study aimed to determine the spatial analysis of COVID-19 in Qom Province, using the local indicators of spatial association (LISA).MethodsIn a primary descriptive-analytical study, all individuals infected with COVID-19 in Qom Province from February 19th, 2020 to September 30th, 2020 were identified and included in the study. The spatial distribution in urban areas was determined using the Moran coefficient in geographic information systems (GIS); in addition, the spatial autocorrelation of the coronavirus in different urban districts of the province was calculated using the LISA method.ResultsThe prevalence of COVID-19 in Qom Province was estimated to be 356.75 per 100,000 populations. The pattern of spatial distribution of the prevalence of COVID-19 in Qom was clustered. District 3 (Imam Khomeini St.) and District 6 (Imamzadeh Ebrahim St.) were set in the High-High category of LISA: a high-value area surrounded by high-value areas as the two foci of COVID-19 in Qom Province. District 1 (Bajak) of urban districts was set in the Low-High category: a low-value area surrounded by high values. This district is located in a low-value area surrounded by high values.ConclusionsAccording to the results, district 3 (Imam Khomeini St.) and district 6 (Imamzadeh Ebrahim St.) areas are key areas for preventing and controlling interventional measures. In addition, considering the location of District 1 (Bajak) as an urban district in the Low-High category surrounded by high values, it seems that distance and spatial proximity play a major role in the spread of the disease.

Performance of Profit and Non-profit Rural on School Performance in Qom Province in 2020

Performance of Profit and Non-profit Rural on School Performance in Qom Province in 2020

Evaluation of food safety and health risk factors in food service establishments; a case study in Qom province, Iran

Foodborne diseases still occur and affect 30 % of people in the world annually. Existing data related to the status of food safety and health indicators of food services facilities in Qom province indicate that a low percentage of these centers have the necessary criteria in the principles of food safety. According to the factors affecting the promotion of food health and safety indicators, this study was conducted to identify and investigate the factors affecting the risk of food safety in food supply centers in Qom in 2018. In this cross-sectional study, the required data were obtained through validated questionnaires about food safety and environmental health of food services facilities (n=380). Also, the effectiveness of variables such as training on food safety principles through designing before and after study, educational certification, having trading licenses, ownership, urban health status and the age of operators, have been assessed by food safety factors based on relevant tests. The results showed that the training of food handlers in improving and upgrading food safety conditions has had a significant increase. (49 %, mean 5.44 %, SD 3.20 ±, p &lt; 0.001) Also variables such as education level (p &lt; 0.05) and educational certification (p &lt; 0.001) have been effective in increasing food safety and health standards. In order to improve the level of food safety, reviewing the process of educational programs, strengthening educational equipment and media and inter-sectorial coordination to strengthen the role of education should be planned. The food holders, managers of the food establishment and local health experts should enhance the food safety practice.

Techno-economic, environmental and emergy analysis and optimization of integrated solar parabolic trough collector and multi effect distillation systems with a combined cycle power plant

In this investigation, the improvement of the combined power plant that is located in Qom province was studied based on using solar energy and multi-effect desalination system. In this regard, energy, exergy, exergoeconomic, exergoenvironmental, emergoeconomic, emergoenvironmental as (6 E) analysis has been performed. Also, multi -objective genetic algorithm (MOGA) was applied to optimization of the propose cycle in view of 6 E analysis. Due to the high complexity of the optimization problem and reduce the computation time, the combination of genetic programing and artificial neural network has been employed to generate exact correlation for objective functions. The initial results demonstrated that adding the solar-based-thermal system caused an improvement of about 1.91% in the exergetic efficiency of the base plant. Moreover, by simultaneous integration of solar unit and desalination system in the base plant, the new-designed plant could generate 33 kg/s freshwater. It was determined from optimization results that the exergetic efficiency of the proposed plant increased by 3.22%. Furthermore, after optimization and at the optimum operating condition, power generation costs, power generation's environmental impacts, freshwater generation's costs, freshwater production's environmental impacts, and the emergy of the proposed system decreased about 6.27%, 24.51%, 36.51%, 26.13%, and 1.87%, respectively.

Investigating the Relationship between the Prevalence of Occupational Accidents with Individual and Occupational Factors in the Workplace Case Study: Industries of Qom Province

Introduction: Investigations of accidents in industry have shown that various factors affect the occurrence of accidents. Therefore, the aim of this study was to investigate the relationship between the prevalence of occupational accidents with individual and occupational factors in the industrial work environment of Qom province.&#x0D; Methods: This descriptive study was performed based on the incidents registered in the Labor Inspection Office of Qom Province in 2017. All cases were selected and 1048 cases were reviewed according to the accurate registration of incidents. Necessary parameters were extracted from accident reporting forms and their frequency and frequency percentage were analyzed by SPSS 18 software.&#x0D; Results: The highest number of accidents was in the age range of 20-30 years with less than 5 years of work experience. The lowest number of accidents was related to bachelor's degree and higher. In addition, a high number of victims (41.5%) were involved in construction activities. In the study of the working population, the highest number of accidents was related to workshops with a staff number of 10-24. In investigating the causes of accidents, 33.2% of accidents were identified as lack of safety training and 24.2% as lack of safe work procedures. In the group of equipment causes, the highest share of accidents was due to the lack of proper equipment and in relation to human causes, the main reason for the accident was the non-stopping of the device during repair.&#x0D; Conclusion: The results of the present study showed that demographic and occupational factors, such as age, work experience, and type of industry were very important in the occurrence of industrial accidents. In addition, it was found that managerial, equipment and human causes each have an effective role in the occurrence of accidents, which can be significantly reduced using more supervision by managers and recruiting safety and health officials, and finally observing safety principles in all areas of work.

A new two-stage nurse scheduling approach based on occupational justice considering assurance attendance in works shifts by using Z-number method: A real case study

In this paper, a new binary integer programming mathematical model for scheduling nurses’ problems in the emergency department of Kamkar Hospital in Qom province is developed. The manual arrangement of nurses by the head nurse and its time-consuming, occasional absences during the period and protests against injustices in the arrangement of nurses’ work shifts were among the emergency department’s challenges before implementing the model. Most relevant studies aimed to enhance nurses’ satisfaction by creating a general balance considering occupational preferences. Thus, the present study pursued justice through considering preferences based on the results from periodical evaluations of each nurse’s performance with the ultimate goal of improving nurses’ satisfaction. Moreover, the lack of clarity in selecting shifts, which may cause irregular attendance, was improved using the Z-number method. After the run of the model, the rate of nurses’ absences decreased by 40%, the rate of complaints about the performance of the nursing unit decreased by 50%. Also, nurses’ satisfaction increased by 30% after the implementation of the model.

Assessing the needs of the labor market of Qom province for the specialization of graduates of technical and vocational fields

Assessing the needs of the labor market of Qom province for the specialization of graduates of technical and vocational fields

The Effect of Organizational Learning Culture Component on Knowledge Creation in Public Hospitals of Qom Province

Background and Objectives Knowledge is a valuable and strategic resource and knowledge creation is not possible without a culture of learning. Therefore, this study was conducted to investigate the effect of organizational learning culture component on knowledge creation in public hospitals. Methods This descriptive-analytical and exploratory study was performed on 570 employees of public hospitals in Qom. Data were collected using standard researcher-made tools. Instrument validity was assessed through content validity, convergent validity and reliability by Cronbach's alpha and combined reliability. Data were analyzed through heuristic and confirmatory factor analysis and structural equation modeling using SPSS software version 20 and Lisrel version 8.8. Results The mean and standard deviation of the components of learning culture and knowledge creation were 3.11±1.35 and 3.42±1.11, respectively. Exploratory factor analysis showed that KMO=0.944 and Bartlett sphericity test were significant at the level of 0.001. Cronbach's alpha components are 0.972 and 0.974, respectively, and combined reliability is 0.824 and 0.847, respectively. Convergence validity was 0.884 and 0.846, respectively. Exploratory factor analysis categorized constructs into two parts: learning culture and knowledge creation, and confirmed its fit criteria. Conclusion The results showed that the component of learning culture has a positive and significant relationship with knowledge creation. Therefore, the support of senior managers in holding training workshops entitled "Culture of learning and knowledge creation in the hospital" can be useful for staff in creating knowledge.

Epidemiology incidence and geographical distribution of Meningitis using GIS and its incidence prediction in Iran in 2021.

Background: Meningitis is classified as a medical emergency where the identification and early treatment of bacterial meningitis can eliminate serious consequences, such as hearing loss, memory problems, learning disabilities, brain damage, seizures, and death. The purpose of this study was to investigate the incidence and geographical distribution of meningitis using Geographic Information system (GIS) and to predict its incidence in Iran in 2021. Methods: This was a descriptive analytical study. Information on pertussis was obtained from the Center for Communicable Diseases Control during 2010-2015. In the next step, ArcGIS 9.3 was used to prepare geographic maps of the disease incidence and frequency. Then, the disease prediction map was drawn using the Raster Calculator tool. Results: The results showed that the highest incidence of meningitis during 2010-2015 was in Qazvin, Qom, and Kurdistan provinces. The incidence of meningitis in Iran increased from 9.77 in 2010 to 10.33 in 2015. Based on the modeling results for Iran, Qom, Qazvin, Kurdistan, Hamadan, and Mazandaran provinces with 78.89%, 74.68%, 70.07%, 43.97%, and 22.93% of their areas (Km2) are at high risk for meningitis in the coming years, respectively. Conclusion: According to the results of this study, it can be concluded that Qom, Qazvin, Kurdistan, Hamedan, and Mazandaran provinces are at risk of the disease. Monitoring vaccination in high-risk groups can partially prevent the incidence of the disease in these areas.

Epidemiology incidence and geographical distribution of Pertussis using GIS and its incidence prediction in Iran in 2021.

Background: Pertussis is a respiratory tract infection caused by Bordetella pertussis, which causes inflammation of the lungs and respiratory tract. The purpose of this study was to investigate the incidence and geographical distribution of pertussis using the geographic information system (GIS) and to predict its incidence in Iran in 2021. Methods: This was a descriptive analytical study. Information on pertussis was obtained from the Center for Communicable Diseases Control during 2009-2015. In the next step, the ArcGIS 9.3 was used to prepare geographic maps of the disease incidence and frequency. Therefore, the disease prediction map was drawn. using the Raster Calculator tool. Results: The results showed that the highest incidence of pertussis during 2009-2015 was in Zanjan, Qom, Mazandaran, and Qazvin provinces. The incidence of pertussis in Iran increased from 0.74 in 2009 to 1.53 in 2015. Based on the modeling results for Iran, Qom, Mazandaran, Tehran, Qazvin, and Zanjan provinces, with 76.76%, 73.69%, 66.32%, 30.94% and 24.18% of their areas (Km2), are at high risk for pertussis in the coming years, respectively. Conclusion: The incidence of the disease has been increasing in recent years, indicating the emergence of the disease in Iran. The modeling maps show that the Iranian provinces of Qom, Tehran, Zanjan, and Qazvin are at risk of the disease incidence in the coming years, indicating the need for planning, appropriate interventions and more precise implementation of the vaccination program against the disease.

In-hospital Economic Burden for COVID-19 Infection Using Step-Down Cost Accounting: A Case from Central Iran

Background: The novel coronavirus disease 2019 (COVID-19) has placed heavy direct and indirect economic burden on the people and the health system. Objectives: The present study aimed to estimate the economic burden of COVID-19 in Qom Province, using the step-down cost accounting (SDCA) method. Methods: This descriptive, cross-sectional study included all COVID-19 patients in Qom Province from February 19, 2020, to June 19, 2020. The patients’ data were collected in the form of major cost groups with integrated health system (IHS), health information system (HIS), and a financial software called Roozamad. The governmental, out-of-pocket, and opportunity costs paid by patients and hospitals were calculated and evaluated using SDCA in Microsoft Excel software. Results: The incidence of COVID-19 infection was 518 per 100,000 populations in Qom Province in the aforementioned period. The total government costs for the treatment of the patients were calculated to be 2,229,216,930,370 Rials (8,916,867 $). Among the major governmental cost groups, personnel costs accounted for the highest total expenditures. In addition, out-of-pocket costs of patients and their families equaled 30,038,013,060 Rials (120,152 $). The costs of final service departments accounted for more than half of the total costs. The opportunity costs were calculated as 420 billion Rials (15.68% of total costs). Conclusions: According to the findings, the direct and indirect costs associated with the treatment of COVID-19 patients can impose a heavy economic burden on the households and health care system. Therefore, disease prevention strategies such as observing health protocols are recommended to reduce the burden of the disease.

Assessment of groundwater sustainability and management plan formulations through the integration of hydrogeological, environmental, social, economic and policy indices

To protect aquifers, it is necessary to assess their sustainability in the face of current and future events and stresses. In this study, technical, environmental, social, economic, and groundwater sustainability policy indexes were integrated and used to assess the sustainability of aquifers in the Salt Lake catchment. This 92,884.2 km2 catchment, one of the most important second-grade watersheds in Iran in terms of the importance of water resources, is located in Tehran, Markazi, Qazvin, Zanjan, Hamedan, Isfahan, Qom, and Alborz provinces, and comprises 36 aquifers in the basin. Seven quantitative hydrogeological indicators, three qualitative hydrogeology indicators, six environmental indicators, three social indicators, two economic indicators, and one policy indicator were considered. Final sustainability in each dimension (hydrogeological, environmental, social, economic, and policy) and overall sustainability were evaluated with the analytical hierarchy process and Shannon information entropy weighting approach to integrate expert opinion. The final results of sustainability analysis show that in the Salt Lake catchment, eastern aquifers are completely unstable and western aquifers show poor stability. Management scenarios with a 40% and 80% reduction in groundwater abstraction in the framework of the driving force-pressure-status-impact-response model show that a 40% reduction plays no a significant role in improving the quantitative sustainability of aquifers, whereas an 80% reduction in abstraction leads to an improvement of about 25% in quantitative sustainability.