Significance of Patient demographic
Patient demographics encompass the characteristics of patients within a study. These include age, sex, and often other factors like occupation, religion, and medical history. Analyzing these demographics provides context for the study population, aiding in understanding treatment outcomes, disease prevalence, and other health-related findings. This information is crucial for tailoring treatments, comparing groups, and assessing the impact of various factors on patient health.
Synonyms: Patient population, Patient profile, Patient characteristics, Patient data, Demographic information., Patient group
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Hindu concept of 'Patient demographic'
In Hinduism, patient demographic involves analyzing patient characteristics like age, sex, religion, and occupation. This data, presented in tables, offers context for studies by providing a comprehensive understanding of the patient population's makeup and background.
(1) The study included the collection and analysis of patient information, such as age, sex, religion, occupation, and other relevant characteristics, to provide a comprehensive understanding of the study population.[1] (2) Patient demographics, including age, sex, religion, occupation, and other characteristics, are presented in Table 4, providing context for the study population, as the text describes.[2]
The concept of Patient demographic in scientific sources
Patient demographic consistently refers to the statistical characteristics of a study's participants. This includes age, gender, and often other factors like socioeconomic status, medical history, or occupation. It helps researchers understand the study population and its influence on outcomes.
(1) Patient demographics, including age, foreign material used, initial indication, occupation, location of procedure, and time of presentation, are important factors.[3] (2) This refers to the characteristics of the patients, such as age, gender, weight, and height, which are analyzed to compare the groups.[4] (3) The characteristics of the study population, including age, gender, and race, used to analyze the results of the ETT and look for correlations.[5] (4) These were recorded. The specimens were separated according to site of origin. The data were then analysed to assess accuracy parameters of the frozen section diagnoses compared with the diagnoses obtained from paraffin sections.[6] (5) This includes the characteristics of the study participants, such as age and gender, which were collected to understand the context of the study findings.[7]
(1) This involves a total of 32 328 patients seen at this hospital’s EC during the year 2018, with 29 055 patients eligible for inclusion after exclusions, and the mean age was 41 years, with most patients triaged yellow.[8] (2) Patient demographics include the characteristics of the patients, such as age and gender, which were analyzed to understand the profile of patients triaged away from the emergency unit.[9] (3) This refers to the characteristics of the patients, such as age, gender, and location, which are important in understanding the context of the study, as mentioned in the text.[10] (4) These include age, gender, and race, which were collected using a data collection tool that assessed the characteristics of patients.[11] (5) This refers to the characteristics of the study participants, such as age and gender, which were analyzed to provide a better understanding of the study population.[12]
(1) This refers to the characteristics of patients, including age, gender, and other relevant information, which were collected as part of the study to understand the population served by the emergency department.[13] (2) This information was gathered using questionnaires, seeking data such as age, sex, academic qualifications, and occupation to understand the patients better.[14] (3) These are the characteristics, such as age and sex, along with chronic disease and smoking history, collected by the ABBY-machine.[15] (4) This was captured in a data collection sheet, along with disposition from the ED, and these details were analyzed to determine the prevalence, causes, and other aspects of chest pain.[16] (5) These are the characteristics of the patients, such as age, occupation, and education, which were analyzed in relation to the presentation of symptoms.[17]
(1) This is the set of characteristics, such as age and ethnicity, that describe a group of patients, which are used to analyze the study.[18] (2) These characteristics, including gender and ethnicity, were assessed for any possible associations with dermatoses in the study.[19] (3) The characteristics of the study participants, including their medical history, recorded in the study.[20] (4) This is the collection of statistical data relating to the characteristics of a population, and it is important for understanding the context of the study and the factors that may influence the results.[21]
(1) The characteristics of the study participants, including age and sex, which were analyzed in relation to the two-month sputum smear results.[22] (2) This refers to the characteristics of patients, including age, sex, and geographical location, which are essential for understanding head injury patterns.[23]
(1) This refers to the characteristics of the study participants, including their sex and age, which were analyzed for their potential impact on inhaler use.[24] (2) Information about patients, such as age and gender, collected in the first step of the survey questionnaire.[25]
(1) The profile of patients within the practice, which is representative of other practices within the surrounding suburbs, which were involved in the audit.[26]
(1) These are characteristics of patients, such as age, gender, and medical history, and are used in the study of CT scans.[27] (2) Factors like these and clinical diagnoses remain relatively static, while modifiable factors provide a potential area for improving patient care.[28] (3) The rTMS service aims to individualize rTMS treatment based on the best available research, taking into consideration practicality and affordability for the local patient demographic.[29] (4) This includes the characteristics of the patients in the study, such as gender and age, which were analyzed to compare the pre-intervention and post-intervention groups and assess any statistically significant differences.[30]