Objective(s): To evaluate the family physicians' practices and to measure its impact upon the quality of family
medicine health care in Baghdad City model primary health care centers.
Methodology: A descriptive study, using the evaluation approach, has evaluated the impact of family physicians'
practices upon quality of healthcare in Baghdad's Model Primary Health Care Centers of Family Medicine. It is
carried out during 15th of May – 20th of August 2017. The study is conducted at five model primary health care
centers of family medicine from two districts; AL-Rusafa and AL-Kurkh. Sample size is calculated to be (76)
family physicians. Convenient sample of (124) patients who are attending these primary health care centers to seek
family health care services. Adopted structured self-administered questionnaire is used to collect data from the
Family physicians. The list of dual-forced items obtained through the Delphi process, which include "Do" or "Don't
do". Inpatient care is clarified with (25) statements, urgent care and minor procedures tested in (27) statements and
ambulatory care includes (16) statements. The quality of health care questionnaire is developed for the purpose of
the study. The overall number of items included in the questionnaire is (18) items. Internal consistency "split-half"
reliability is obtained through computation of Cronbach's alpha correlation coefficient. Content validity of the
questionnaire is determined through panel of (10) experts. Data are collected through the utilization of the
questionnaire and the interview technique as means of data collection. Data of both stages is entered to computer
using Statistical Package of Social Science, Version (23.00) for windows(10) (SPSS-23) and are handled using
descriptive statistical data analysis approach (frequencies, percentages, mean of scores, total scores and Cronbach's
alpha correlation coefficient) and inferential statistical data analysis approach (simple linear regression).
Results: The study reveals that the majority of the family physicians has performance experienced inadequate of
family health care practices. The quality of family medicine health care services in Baghdad's primary health care
centers of the patients' perspectives is poor (82.30%).The impact of family physicians' practices upon the quality of
family medicine health care services in Baghdad City model primary health care centers presents that family
physicians' practices have not made noteworthy change on the quality of family medicine health care services.
Recommendations: Family physicians can follow the family medicine practices' standards to provide quality of
family medicine health care services. The Ministry of Health Department of Primary Health Care can periodically
monitor the implementation of family physicians' practices standards for the benefit of better quality of family
medicine health care services. The family medicine quality of health care services can be valued on a regular base
for the benefits of the patients who are attending the primary health care centers to seek such care
This research aims to improve the process Tax accounting by using the scientific method to such as Six Sigma DMAIC steps called in General. Authority for Tax accounting . this approach has been described Tax accounting process Fully and identify problems experienced by the measurement and analysis and identify the critical success factors to satisfy customers and adoption process redesign Tax accounting process with the possibility of obtaining a high-quality revenue to be used by the body to improve its performance . Collected data and information from interviews with officials, staff and see the details & the conduct & operations in the body, and used well as a questionnair to measure the quality & services present action b
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This paper is specifically a detailed review of the Spatial Quantile Autoregressive (SARQR) model that refers to the incorporation of quantile regression models into spatial autoregressive models to facilitate an improved analysis of the characteristics of spatially dependent data. The relevance of SARQR is emphasized in most applications, including but not limited to the fields that might need the study of spatial variation and dependencies. In particular, it looks at literature dated from 1971 and 2024 and shows the extent to which SARQR had already been applied previously in other disciplines such as economics, real estate, environmental science, and epidemiology. Accordingly, evidence indicates SARQR has numerous benefits compar
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. In recent years, Bitcoin has become the most widely used blockchain platform in business and finance. The goal of this work is to find a viable prediction model that incorporates and perhaps improves on a combination of available models. Among the techniques utilized in this paper are exponential smoothing, ARIMA, artificial neural networks (ANNs) models, and prediction combination models. The study's most obvious discovery is that artificial intelligence models improve the results of compound prediction models. The second key discovery was that a strong combination forecasting model that responds to the multiple fluctuations that occur in the bitcoin time series and Error improvement should be used. Based on the results, the prediction a
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Includes search unemployment concept ... types, graduate unemployment a model introduction to the researcher tackled the problem of unemployment being dangerous to the community, it's also growing in size year after year is a waste of a clear human capabilities, also addressed the importance of the research being a touch on the problem of unemployment and its concept and try to find solutions to them , and then came the goals set by the search researcher identifies unemployment and their causes and consequences and to provide a true picture of the situation of unemployed graduates and disclosure about how they treat their graduates for jobs provide him with a decent life problem. And adopted a researcher on the use of a questionnaire add
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Interval methods for verified integration of initial value problems (IVPs) for ODEs have been used for more than 40 years. For many classes of IVPs, these methods have the ability to compute guaranteed error bounds for the flow of an ODE, where traditional methods provide only approximations to a solution. Overestimation, however, is a potential drawback of verified methods. For some problems, the computed error bounds become overly pessimistic, or integration even breaks down. The dependency problem and the wrapping effect are particular sources of overestimations in interval computations. Berz (see [1]) and his co-workers have developed Taylor model methods, which extend interval arithmetic with symbolic computations. The latter is an ef
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This paper is specifically a detailed review of the Spatial Quantile Autoregressive (SARQR) model that refers to the incorporation of quantile regression models into spatial autoregressive models to facilitate an improved analysis of the characteristics of spatially dependent data. The relevance of SARQR is emphasized in most applications, including but not limited to the fields that might need the study of spatial variation and dependencies. In particular, it looks at literature dated from 1971 and 2024 and shows the extent to which SARQR had already been applied previously in other disciplines such as economics, real estate, environmental science, and epidemiology. Accordingly, evidence indicates SARQR has numerous benefits compar
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