دور السياسات الحكومية في إدارة التحويلات الطبية في فلسطين

Israa Yasin Ziadeh; Ismail Salama Iriqat

doi:10.35516/hum.v52i3.5767

Authors

Israa Yasin Ziadeh Department of Public Administration, Faculty of Law and Public Administration, Birzeit University, Ramallah, State of Palestine https://orcid.org/0009-0001-9055-6277
Ismail Salama Iriqat Department of Public Administration, Faculty of Law and Public Administration, Birzeit University, Ramallah, State of Palestine https://orcid.org/0000-0001-5625-2053

DOI:

https://doi.org/10.35516/hum.v52i3.5767

Keywords:

medical referrals, effectiveness, efficiency, coordination, Palestine, government policies.

Abstract

Objectives: The study aims to assess the effectiveness and efficiency of government policies in managing medical referrals, as well as the level of coordination between the Medical Service Purchasing Department and relevant authorities in managing medical referrals. The study also aims at identifying the challenges faced in managing medical referrals.

Methods: The study uses a descriptive-analytical approach, employing qualitative methods through conducting nine structured interviews with relevant specialists in the topic, selected through purposive sampling. The study also employs quantitative methods by distributing 125 electronic questionnaires to service recipients, selected through convenience sampling.

Results: The results of the study show that the effectiveness of government policies in managing medical referrals is low, with an effectiveness rate of 52%. Additionally, the efficiency of government policies in this area is found to be very low (47%). The results also indicated that the level of coordination between government policies and relevant entities in managing medical referrals is low, with a coordination rate of 54%.

Conclusions: The study's results highlight the importance of focusing on building the capacities of medical personnel and providing continuous support through training programs and seminars.

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References

Abrahim, O., Rapaport, S., Ngude, H., Abbas, M., Winch, P. J., Stevens, K. A., & Enumah, Z. O. (2022). Patterns of referral for refugees in Western Tanzania: a retrospective review. Pan African Medical Journal, 41(1).

Barhoush, Y., & Amon, J. J. (2023). Medical apartheid in Palestine. Global Public Health, 18(1), 2201612.

Gabriel, A. G. (2017). Transparency and accountability in local government: levels of commitment of municipal councillors in Bongabon in the Philippines. Asia Pacific Journal of Public Administration, 39(3), 217-223.

Joudeh, L., Heavner, S. F., Johnstone, E., Propst, S. K., & Harris, O. O. (2023). Challenges and opportunities for medical referrals at a mobile community health clinic serving sexual and gender minorities in rural South Carolina: a qualitative approach. BMC Health Services Research, 23(1), 1-11.

Kharouf, M. 2006. Assessment of the actual treatment abroad department at Palestinian ministry of health (moh). An-najah national university, Nablus, Palestine.

Marzouk, M., Kelley, M., Fadhil, I., Slama, S., Longuere, K. S., Ariana, P., ... & Marsh, V. (2019). " If I have a cancer, it is not my fault I am a refugee”: A qualitative study with expert stakeholders on cancer care management for Syrian refugees in Jordan. PLoS One, 14(9), e0222496.

Marie, M., & Battat, M. (2021). Access limitation to health services in Palestine and its consequences on Palestinian mental health and wellbeing: Literature review.

Michael, M. (2022). Healing Borders and the Mapping of Referral Systems: Across the Territorial Spaces of African Healing Shrines, Christian Prayerhouses, and Hospitals. Journal of Religion in Africa, 51(1-2), 1-26.

Salman, Z., Shbair, M., Zeineddin, M., Balousha, T., Qaddoumi, I., & Rodriguez-Galindo, C. (2021). Cancer care for children in the Gaza Strip. The Lancet Oncology, 22(12), 1667-1668.

Van Such, M., Lohr, R., Beckman, T., & Naessens, J. M. (2017). Extent of diagnostic agreement among medical referrals. Journal of evaluation in clinical practice, 23(4), 870-874.

Wee, C. K., Zhou, X., Sun, R., Gururajan, R., Tao, X., Li, Y., & Wee, N. (2022). Triaging medical referrals based on clinical prioritisation criteria using machine learning techniques. International Journal of Environmental Research and Public Health, 19(12), 7384.