Determining Core Components in Accreditation of Limited Surgery Facilities in Iran.

Background: Limited surgery facilities, or day-care centers, have been expanding in recent years with the approach of reducing the number of patients referred to hospitals for treatment in relation to limited and ambulatory surgeries. This study was conducted to perform a comparative review of accreditation models for limited surgery facilities of selected countries and to obtain expert opinions in the field of policymaking and accreditation in Iran.

Materials And Methods: This applied and qualitative study was carried out by a comparative method in 2019.

Psychometric Properties of the Patient Self-Advocacy Scale: The Persian Version.

Background: Advances in science and technology and the changes in lifestyle have changed the concept of health in terms of etiology and mortality. The aim of this study was to test the psychometric properties of the original Patient Self-Advocacy Scale for use with an Iranian population.

Methods: In the current study, 50 chronic patients between the ages of 25 and 75 were selected as samples.

Patient involvement in health care decision making: a review.

Background: Patient participation means involvement of the patient in decision making or expressing opinions about different treatment methods, which includes sharing information, feelings and signs and accepting health team instructions.

Objectives: Given the importance of patient participation in healthcare decision making which empowers patients and improves services and health outcomes, this study was performed to review previous studies on patient participation in healthcare decision making.

Materials And Methods: To prepare this narrative review article, researchers used general and specific search engines, as well as textbooks addressing this subject for an in-depth study of patient involvement in healthcare decision-making.

Tuberculosis disease diagnosis using artificial immune recognition system.

Background: There is a high risk of tuberculosis (TB) disease diagnosis among conventional methods.

Objectives: This study is aimed at diagnosing TB using hybrid machine learning approaches.

Materials And Methods: Patient epicrisis reports obtained from the Pasteur Laboratory in the north of Iran were used.