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Volume 20, Issue 4 (July - August 2021)                   Payesh 2021, 20(4): 407-414 | Back to browse issues page

Ethics code: IR.ACECR.IBCRC.REC.1397.016

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Aeenparast A, Farzadi F, Heari Mehrizi A A. Outpatient appointments in private practices in Tehran, Iran. Payesh. 2021; 20 (4) :407-414
1- Health Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Iran
Abstract:   (805 Views)
Objective(s): outpatient services are an important part of health services. One important aspect of outpatient services is outpatient appointments. The study aimed to investigate the outpatient appointments and time management status in private practices.
Methods: This was a cross-sectional study that was conducted in Tehran in 2020.  Two hundred and eight practices were selected by using convenient sampling. Data was collected using a 50-items self-designed questionnaire. The validity and reliability of questionnaires were tested before data collection. SPSS software version 23 was used for data analyses.
Results: More than half of the practices (56.3%) were specialists’ offices. In 85.6% of the practices patients were admitted on schedule. Data indicated that in most clinics scheduled patients were in priority for being visited by the physician (59.3%). Compared to younger physicians, the possibility of not using appointment systems was higher in older physicians and among physicians with higher working experiences (P value=0.01 and P value=0.039 respectively).
Conclusions: In general, the findings showed that the age and work experience of the physicians might play an important role in the use of queuing systems in medical practices. It seems that simplifying the appointment methods can be effective in increasing the use of appointment systems and improving the management of waiting time for outpatients in private practices. It is the responsibility of health system managers and experts to produce simple tools and methods without the need for sophisticated technology for this group of outpatient service providers.
Full-Text [PDF 816 kb]   (315 Downloads)    
type of study: Research | Subject: Helath Service Manager
Received: 2020/07/1 | Accepted: 2021/08/1 | ePublished ahead of print: 2021/08/30 | Published: 2021/09/5

1. Toufighi H, Sharifi V, Alaghband Rad J, Shadloo B. Development and Implementation of Discharge Planning Service in Roozbeh Hospital. Iranian Journal of Psychiatry and Clinical Psychology 2018; 24:56-69 [In Persian] [DOI:10.29252/nirp.ijpcp.24.1.56]
2. Shabani H, Rezayatmand R, Mohammadi F. Determinants of Health Expenditures in Iran and Other Country Members of Perspective Document of 1404 of Iran. Health Information Management 2019; 16: 18-23 [In Persian]
3. Faraji Khiavi F, Qolipour M, Dashtinejad Z, Mirr I. Determination of Dimensions and Items of Outpatient Service Quality for Ahvaz Hospitals. payavard Salamat 2018; 11:490-500 [In Persian]
4. Faraji Khiavi F, Qolipour M, Dashtinejad Z, Mir I. Relationship between outpatients' examination time and perceived service quality in teaching hospitals of Ahvaz: 2015. Rahavard Salamat Journal 2017; 3:24-35 [In Persian] [DOI:10.5539/gjhs.v8n11p83]
5. Aeenparast A, kheirandish M, Maftoon F, Farzadi F. Identifying key variables for designing a scheduling system for outpatient appointments: A systematic review. Payesh 2017; 16:735-745 [In Persian]
6. Begen MA, Levi R, Queyranne M. Technical Note-A Sampling-Based Approach to Appointment Scheduling. Operations Research 2012; 60: 675-681 [DOI:10.1287/opre.1120.1053]
7. Creemers S, Beliën J, Lambrecht M. The optimal allocation of server time slots over different classes of patients. European Journal of Operational Research 2012; 219: 508-521 [DOI:10.1016/j.ejor.2011.10.045]
8. Koeleman PM, Koole GM. Optimal outpatient appointment scheduling with emergency arrivals and general service times. IIE Transactions on Healthcare Systems Engineering 2012; 2: 14-30 [DOI:10.1080/19488300.2012.665154]
9. Cayirli T, Gunes ED. Outpatient appointment scheduling in presence of seasonal walk-ins. Journal of the Operational Research Society 2014; 65: 512-531 [DOI:10.1057/jors.2013.56]
10. Liang B, Turkcan A. Acuity-based nurse assignment and patient scheduling in oncology clinics. Health Care Management Science 2016 ;19: 207-26 [DOI:10.1007/s10729-014-9313-z]
11. Wang J, Fung RJ. Dynamic appointment scheduling with patient preferences and choices. Industrial Management & Data Systems 2015; 115: 700-717 [DOI:10.1108/IMDS-12-2014-0372]
12. Heshmat M, Eltawil A. Comparison between outpatient appointment scheduling and chemotherapy outpatient appointment scheduling. The Egyptian International Journal of Engineering Sciences & Technology 2016 ;19:326-32 [DOI:10.21608/eijest.2016.97138]
13. Chen Y, Kuo YH, Fan P, Balasubramanian H. Appointment overbooking with different time slot structures. Computers & Industrial Engineering 2018; 124:237-48 [DOI:10.1016/j.cie.2018.07.021]
14. Zacharias C, Yunes T. Multi-modularity in the stochastic appointment-scheduling problem with discrete arrival epochs. Management Science 2020; 66:744-63 [DOI:10.1287/mnsc.2018.3242]
15. Aeenparast A, Farzadi F, Maftoon F. Waiting time for specialist consultation in Tehran. Archives of Iranian Medicine (AIM) 2012;15: 7‏56-8
16. Munavalli JR, Rao SV, Srinivasan A, van Merode GG. Integral patient scheduling in outpatient clinics under demand uncertainty to minimize patient waiting times. Health informatics Journal 2019 26: 435-448 [DOI:10.1177/1460458219832044]
17. Barghash M, Saleet H. Enhancing outpatient appointment scheduling system performance when patient no-show percent and lateness rates are high. International Journal of Health Care Quality Assurance 2018; 31: 309-326 [DOI:10.1108/IJHCQA-06-2015-0072]
18. Thombare M, Sukhwani R, Shah P, Chaudhari S, Raundale P. Efficient implementation of multilevel feedback queue scheduling. International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) 2016; 23:1950-1954 [DOI:10.1109/WiSPNET.2016.7566483]

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