The impact of the practice of evaluating public health policies on the performance of the Jordanian government health sector: An analysis of big data as a moderator variable (A field study on the hospitals of the Jordanian Ministry of Health)

Abstract

This study aimed to identify the impact of the practice of evaluating public health policies, represented by its dimensions (advanced evaluation of policies, strategic evaluation of policies, performance evaluation of policies, and evaluation of results of policies) on the performance of the health sector, represented by its dimensions (effectiveness, efficiency, responsiveness, justice), as a moderator role for big data analysis in Jordanian Ministry of Health hospitals. To achieve these goals, the researcher relied on the quantitative and descriptive approach because it is considered the appropriate approach to the nature of the current study. This approach is also considered a diagnostic approach, as it is based on knowing the characteristics of the phenomenon, and knowing the factors and variables that cause its existence. It is also considered descriptive, as it collects objective information that determines the current situation and describes the image that these phenomena should have in light of a number of specific standards (SPSS). The study population consisted of (33) government hospitals affiliated with the Jordanian Ministry of Health, including (3) hospitals for psychological rehabilitation and rehabilitation of addicts distributed across the northern, central and southern regions of the Kingdom, according to information provided by the Jordanian Ministry of Health on 6/23/2023. Due to the large size of the study population, (3) hospitals were chosen (Princess Basma Hospital, Al-Bashir Hospital, Karak Governmental Hospital). The basis of selection was based on the number of beds. The study reached several results, the most important of which are: The perceptions of managers at the upper and middle administrative levels in the Jordanian Ministry of Health hospitals about the values of the arithmetic means for the big data analysis variable came in at a high level of (3.80). This means that the administrative levels in the Jordanian Ministry of Health hospitals are interested in various forecasting models to support the activities of generating information sources and developing it according to the needs of its beneficiaries. After processing and analyzing huge data, it is also able to predict future events, as the Ministry provides backup storage spaces to preserve its huge data from loss. The Ministry is interested in organizing huge data through systems that help in using it when it is needed. The study recommended that it is necessary for the senior and middle administrations in the hospitals of the Jordanian Ministry of Health to continue to keep pace with everything new in evaluating public health policies, and to study their benefits in depth with the aim of employing them in the hospitals of the Jordanian Ministry of Health.