A Basiri, A Tabibi, M Parvin,
Volume 16, Issue 3 (11-2002)
Abstract
In spite of vast improvements in urinary stone treatment (ESWL, PNL,
ureteroscopy, etc.), metabolic workup concerning the existence of stone forming
risk factors are of great importance and can lead to control and even prevention of
urinary stone formation in these patients.
In this analytical case-control study performed on 266 persons [110 normal
persons (56 males and 54 females), 76 patients with one episode of stone formation
(40 males and 36 females), and 80 patients with recurrent stone formation
(40 males and 40 females)] aged between 30 to 45 (with an average of 37.6) in
Shahid Doctor Labbafinejad Medical Center from May to July 1999, serum parameters
and 24-hour urine parameters have been investigated and compared
among the three groups. Results of this study revealed considerable differences in
urinary calcium levels of these three groups, with and without considering sex
(p<0.05). Averages of 24-hour urinary calcium calculated for normal, one episode
and recurrent stone formers in male groups were 159±43, 219± 71, and 283± 74
mg/24h respective1y, and for normal, one episode and recurrent stone formers in
female groups were 124±37, 190±58, and 287:t152 mg/24h respectively. Although
24-hour urine citrate in females obviously showed higher values than males, there
was no significant difference among the studied groups of the same sex. Levels of
serum calcium, potassium and magnesium between groups of females and 24-
hour urine magnesium and phosphate levels between groups of males had statistical
differences also (p<0.05 for all of the cases mentioned above).
According to the results obtained from this study, it was realized that in the
studied society levels of 24-hour urinary calcium which are higher than 200 mg/
24h (sensitivity 80%, specificity 94% and FPR 6.4%) and calcium creatinine ratios
of 24-hour urine which are higher than 0.17 (sensitivity 7.5%, specificity
88.1 % and FPR 11.9%) can be regarded as hypercalciuria. However, the results
of this study should be confirmed by more general and extended studies.
Mohammadreza Mobinizadeh, Pouran Raeissi, Amir Ashkan Nasiripour, Alireza Olyaeemanesh, Seyed Jamaleddin Tabibi,
Volume 30, Issue 1 (1-2016)
Abstract
Background: In the recent years, using health technologies to diagnose and treat diseases has had a considerable and accelerated growth. The proper use of these technologies may considerably help in the diagnosis and treatment of different diseases. On the other hand, unlimited and unrestricted entry of these technologies may result in induced demand by service providers. The aim of this study was to determine the appropriate criteria used in health technologies priority-setting models in the world.
Methods: Using MESH and free text, we sought and retrieved the relevant articles from the most appropriate medical databases (the Cochrane Library, PubMed and Scopus) through three separate search strategies up to March 2015. The inclusion criteria were as follows: 1) Studies with specific criteria; 2) Articles written in English; 3) Those articles conducted in compliance with priority setting of health technologies. Data were analyzed qualitatively using a thematic synthesis technique.
Results: After screening the retrieved papers via PRISMA framework, from the 7,012 papers, 40 studies were included in the final phase. Criteria for selecting health technologies (in pre assessment and in the assessment phase) were categorized into six main themes: 1) Health outcomes; 2) Disease and target population; 3) Technology alternatives; 4) Economic aspects; 5) Evidence; 6) and other factors. “Health effects/benefits” had the maximum frequency in health outcomes (8 studies); “disease severity” had the maximum frequency in disease and target population (12 studies); “the number of alternatives” had the maximum frequency in alternatives (2 studies); “cost-effectiveness” had the maximum frequency in economic aspects (15 studies); “quality of evidence” had the maximum frequency in evidence (4 studies); and “issues concerning the health system” had the maximum frequency in other factors (10 studies).
Conclusion: The results revealed an increase in the number of studies on health technologies priority setting around the world, and emphasized the necessity of application of a multi- criteria approach for appropriate decision making about healthcare technologies in the health systems.
Seyed Jamaledin Tabibi, Parvin Ebrahimi, Mozhgan Fardid, Mir Sajad Amiri,
Volume 32, Issue 1 (2-2018)
Abstract
Background: The significance and influence of organizational culture on Information Technology acceptance, especially in healthcare field, has been recognized as a source of organizational inertia. This study aimed at developing a model of Hospital Information System (HIS) acceptance for non-teaching hospitals of Iran University of Medical Sciences to encourage the authorities to promote organizational culture and successful application of HIS.
Methods: The proposed model was developed according to Michigan Organizational Assessment Questionnaire (MOAQ), Harrison, Hofstede models, and Comparative Values Framework (CVF). The questionnaires were designed based on the model and distributed among 400 HIS users in the hospitals under study, who were selected using stratified random sampling. The structural equation modeling method was used for data analysis in LISREL software.
Results: According to the final model, the influences of developmental culture on perceived usefulness, the relationship of 4 types of organizational culture with mandatoriness according to CVF, and the relationships of hierarchical and developmental culture with system use were attested. The relationships between supervision and 4 variables of HIS acceptance were confirmed. Furthermore, the influence of process/ result oriented culture on user satisfaction was demonstrated. The normed chi square index (2.60) revealed that the final model was fitted to the data. The indices were as follow: GFI= 0.95, CFI= 0.97, AGFI= 0.88, RMSEA= 0.064.
Conclusion: The components and structural relationships in the model of this study are applicable in the related hospitals, and using this model can promote organizational culture and acceptance of HIS by the users.
