Background: Need and demand modeling is one of the conceptual approaches of health workforce planning. In many models of this field, “need” is not considered. Each country should model according to its context. Objectives: The present study aimed to design a need adjusted with demand model of the health workforce in the fields of specialties and subspecialties. Methods: Walker and Avant’s synthesis theory method was used for modeling in this study. The concepts of need and demand were chosen as the focal concepts. In addition, to find the components related to the concepts and the relationships between these components, the result of a previous systematic review and a supplementary study of viewpoints of research teams were used. In the last step, the graphic form of the model was presented. Results: The need-adjusted demand model was presented in this study. In this model, the types of flows were headcounts. Actual need, willingness, and ability to use health services were considered. Finally, the number of full-time equivalents of physicians was estimated. Conclusions: In this model, a series of main components that are headcounts and a series of influential factors that affect the main factors through rates were considered.

Background: COVID-19 has been announced as an international public health emergency since February 2020 by the WHO. Objectives: The present study aimed to identify clinical manifestations and laboratory findings of COVID-19 patients and their relationship with severe outcomes. Methods: This cross-sectional study with descriptive and analytical purposes was conducted on 470 patients suspected of having COVID-19 infection hospitalized at Ganjavian hospital, one of the Referral Hospitals for COVID-19 patients, in Dezful, Iran. Patients’ records were reviewed for demographics and clinical manifestations, and the results of laboratory tests and severe outcomes from April to June 2020 were reviewed. The admission criterion was a definitive Coronavirus infection diagnosis, and the exclusion criteria were the medical records of patients who underwent three follow-up test appointments for any reason. Data were analyzed using SPSS version 22.0. Results: The mean age of patients was 56.05. The most prevalent symptoms among COVID-19 patients were dry cough, fever, and respiratory complications. The most significant laboratory findings were between the first and third test appointments in WBC, MCV, MCHC, HB, PLT, CRP, ESR, BUN, CR, LDH, and SGPT (P < 0.001). Age, fever, nausea, chills, underlying disease, and some laboratory factors with severe COVID-19 outcomes (ICU admission and death) had a significant relationship. Conclusions: Considering the main clinical manifestation of COVID-19, such as dry cough, Fever, and Dyspnea (need for oxygen) also, results of laboratory tests such as Hb and RDW can have a key role in early detection to progress to severe outcomes, thus decreasing COVID-19 mortality rate.