Outcomes among two groups of students.

Dataset name: asppl_dataset_v2.csv

Version: 2.0

Dataset period: 06/07/2018 - 01/14/2022

Dataset Characteristics: Multivalued

Number of Instances: 8118

Number of Attributes: 9

Missing Values: Yes

Area(s): Health and education

Sources:

• Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a);

• Brazilian Occupational Classification (CBO) (Brasil, 2022b);

• National Registry of Health Establishments (CNES) (Brasil, 2022c);

• Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).

Description: The data contained in the asppl_dataset_v2.csv dataset (see Table 1) originates from participants of the technology-based educational course “Health Care for People Deprived of Freedom.” The course is available on the AVASUS (Brasil, 2022a). This dataset provides elementary data for analyzing the course’s impact and reach and the profile of its participants. In addition, it brings an update of the data presented in work by Valentim et al. (2021).

Table 1: Description of AVASUS dataset features.

Attributes	Description	datatype	Value
gender	Gender of the course participant.	Categorical.	Feminino / Masculino / Não Informado. (In English, Female, Male or Uninformed)
course_progress	Percentage of completion of the course.	Numerical.	Range from 0 to 100.
course_evaluation	A score given to the course by the participant.	Numerical.	0, 1, 2, 3, 4, 5 or NaN.
evaluation_commentary	Comment made by the participant about the course.	Categorical.	Free text or NaN.
region	Brazilian region in which the participant resides.	Categorical.	Brazilian region according to IBGE: Norte, Nordeste, Centro-Oeste, Sudeste or Sul (In English North, Northeast, Midwest, Southeast or South).
CNES	The CNES code refers to the health establishment where the participant works.	Numerical.	CNES Code or NaN.
health_care_level	Identification of the health care network level for which the course participant works.	Categorical.	“ATENCAO PRIMARIA”, “MEDIA COMPLEXIDADE”, “ALTA COMPLEXIDADE”, and their possible combinations. (In English "PRIMARY HEALTH CARE", "SECONDARY HEALTH CARE" AND "TERTIARY HEALTH CARE")
year_enrollment	Year in which the course participant registered.	Numerical.	Year (YYYY).
CBO	Participant occupation.	Categorical.	Text coded according to the Brazilian Classification of Occupations or “Indivíduo sem afiliação formal.” (In English “Individual without formal affiliation.”)

Dataset name: prison_syphilis_and_population_brazil.csv

Dataset period: 2017 - 2020

Dataset Characteristics: Multivalued

Number of Instances: 6

Number of Attributes: 13

Missing Values: No

Source:

• National Penitentiary Department (DEPEN) (Brasil, 2022d);

Description: The data contained in the prison_syphilis_and_population_brazil.csv dataset (see Table 2) originate from the National Penitentiary Department Information System (SISDEPEN) (Brasil, 2022d). This dataset provides data on the population and prevalence of syphilis in the Brazilian prison system. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil.

Table 2: Description of DEPEN dataset Features.

Attributes	Description	datatype	Value
Region	Brazilian region in which the participant resides. In addition, the sum of the regions, which refers to Brazil.	Categorical.	Brazil and Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South.
syphilis_2017	Number of syphilis cases in the prison system in 2017.	Numerical.	Number of syphilis cases.
syphilis_rate_2017	Normalized rate of syphilis cases in 2017.	Numerical.	Syphilis case rate.
syphilis_2018	Number of syphilis cases in the prison system in 2018.	Numerical.	Number of syphilis cases.
syphilis_rate_2018	Normalized rate of syphilis cases in 2018.	Numerical.	Syphilis case rate.
syphilis_2019	Number of syphilis cases in the prison system in 2019.	Numerical.	Number of syphilis cases.
syphilis_rate_2019	Normalized rate of syphilis cases in 2019.	Numerical.	Syphilis case rate.
syphilis_2020	Number of syphilis cases in the prison system in 2020.	Numerical.	Number of syphilis cases.
syphilis_rate_2020	Normalized rate of syphilis cases in 2020.	Numerical.	Syphilis case rate.
pop_2017	Prison population in 2017.	Numerical.	Population number.
pop_2018	Prison population in 2018.	Numerical.	Population number.
pop_2019	Prison population in 2019.	Numerical.	Population number.
pop_2020	Prison population in 2020.	Numerical.	Population number.

Dataset name: students_cumulative_sum.csv

Dataset period: 2018 - 2020

Dataset Characteristics: Multivalued

Number of Instances: 6

Number of Attributes: 7

Missing Values: No

Source:

• Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a);

• Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).

Description: The data contained in the students_cumulative_sum.csv dataset (see Table 3) originate mainly from AVASUS (Brasil, 2022a). This dataset provides data on the number of students by region and year. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil. We used population data estimated by the IBGE (Brasil, 2022e) to calculate the rate.

Table 3: Description of Students dataset Features.

Introductory biostatistics course taught by Dr Scott L. Zeger of John Hopkins Bloomberg School of Public Health. This course teaches key statistical principles and some methods that will enable you to reason more carefully and critically about scientific questions. The course is case based so that each principle or method will be introduced through a case study. This course is designed around a few important health questions.

In this study we evaluated the objective improvement of international preclinical medical students' knowledge in the subject 'Medical Psychology and Sociology' after attending a 3-day peer-led revision course. Using a pre-post-test-design, we found a significant improvement of post-results, compared to pre-results. This data verse contains our collected data as well as the R code used for statistical analysis. We also provide a RMarkdown file with our results. All participants are anonymised.

This record contains the data files used in exercises in the NBIS course "Introduction to Data Management Practices".

Dataset from Ministry of Health. For more information, visit https://data.gov.sg/datasets/d_943ba9a3d9b1e0e89ea5cbf8c58c94da/view

India Medical Course: Bachelor of Medicine and Surgery (MBBS): Number of Admissions data was reported at 52,646.000 Person in 2018. This records a decrease from the previous number of 56,748.000 Person for 2017. India Medical Course: Bachelor of Medicine and Surgery (MBBS): Number of Admissions data is updated yearly, averaging 25,753.500 Person from Dec 1992 (Median) to 2018, with 24 observations. The data reached an all-time high of 56,748.000 Person in 2017 and a record low of 3,568.000 Person in 1997. India Medical Course: Bachelor of Medicine and Surgery (MBBS): Number of Admissions data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLC001: Health Education: Medical Course.

Characteristics of students included in the research.

Ninety students participated since 2012 with 76 during the evaluation period between 2013 and 2016. Students completed pre- and post- course questionnaires of knowledge, preparation, confidence, and competence in clinical skills. The survey included Likert scale and open ended responses.

In this study, we analyze recommendations gathered from student evaluation team (SET) focus group meetings and analyzed whether these items were captured in open-ended comments within the online evaluations. Notes from 9 SET meetings for second-year medical student courses (academic year 2015-2016) taken by 2 second-year medical students (S.V.R. and A.C.) were analyzed. Feedback that included potential solutions was identified in a grounded theory-based approach and coded into the following 7 categories: issues related to specific teaching modalities used in courses, the overall course content, specific lectures (content and organization), sequencing of course events, administrative course components, exams, and study materials. Open-ended comments from online questionnaires were analyzed for the same 9 preclerkship courses for second-year medical students. In these online questionnaires, a 20-item Likert-style survey was followed by a request for comments related to the course. The survey was administered after the end of each course and 714 deidentified responses from second-year medical students were collected. The overall response rate of the online questionnaires was 66%. A total of 293 comments from the online questionnaires of the 9 preclerkship courses were analyzed. Online comments corresponding to SET meeting comments were identified.

This is a listing of course materials used in the class "Fundamentals of Health Sciences Research Data Management." This course was created by the National Center for Data Services, which is a part of the Network of the National Library of Medicine.

The MHMDS is a regular return of data generated by providers of adult secondary mental health services in England, in the course of delivering services to patients. From Q1 2011/12 onwards, the MHMDS also includes data from Independent Sector Organisations and is processed using the new system. Full details of the methods used in processing can be found in the MHMDS Version 4 User Guidance and Appendices (see related links). The MHMDS dataset is received by the HSCIC as record level anonymised data from patient administration systems, Care Programme Approach systems and Mental Health Act administration systems. Changes to this publication From April 2013 the submission of MHMDS data will be made every month, rather than every quarter, to support the implementation of PbR for mental health. From April 2013 NHS wide changes also took place as a result of the Health and Social Care Act 2012. As a result, the frequency and content of this publication will be changing from this point onwards and this publication is the last time the data will be reported on in its current format.

Pacific Community., Queensland University of Technology , Australian Bureau of Statistics, New Zealand., Fiji National University , Vital Strategies, World Health Organization. 2021. Curriculum on medical certification of cause of death for Pacific Island Countries and Territories [electronic resource]. Noumea, New Caledonia: Pacific Communiy. vi, 27 p.

This study aimed to analyze patterns of using ChatGPT before and after group activities and to explore medical students’ perceptions of ChatGPT as a feedback tool in the classroom. The study included 99 2nd-year pre-medical students who participated in a “Leadership and Communication” course from March to June 2023. Students engaged in both individual and group activities related to negotiation strategies. ChatGPT was used to provide feedback on their solutions.

The dataset includes information on the healthcare systems that contributed their electronic health records (EHR) to the international consortium for the epidemiological and clinical purposes for COVID-19. The data contains information on the geographical location, number of beds and patient (adult and/or pediatric).

India Medical Course: Bachelor of Medicine and Surgery (MBBS): Number of Medical Colleges data was reported at 679.000 Unit in 2023. This records an increase from the previous number of 648.000 Unit for 2022. India Medical Course: Bachelor of Medicine and Surgery (MBBS): Number of Medical Colleges data is updated yearly, averaging 289.000 Unit from Dec 1992 (Median) to 2023, with 29 observations. The data reached an all-time high of 679.000 Unit in 2023 and a record low of 146.000 Unit in 1994. India Medical Course: Bachelor of Medicine and Surgery (MBBS): Number of Medical Colleges data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLC001: Health Education: Medical Course.

The data shows the statistics of different item-wise reports on a cumulative yearly basis in states up to the sub-district level in Kerala. It included 1) Ante Natal Care (ANC) - Antenatal care (ANC) is a means to identify high-risk pregnancies and educate women so that they might experience healthier delivery and outcomes. 2) Deliveries - The delivery of the baby by the pregnant women 3) Number of Caesarean (C-Section) deliveries - Caesarean delivery (C-section) is used to deliver a baby through surgical incisions made in the abdomen and uterus. 4) Pregnancy outcome & details of new-born - The records kept of the pregnancy outcome along with the details of new-born 5) Complicated Pregnancies - The different pregnancies that were not normal and had complications 6) Post Natal Care (PNC) - Postnatal care is defined as care given to the mother and her new-born baby immediately after the birth of the placenta and for the first six weeks of life 7) Reproductive Tract Infections/Sexually Transmitted Infections (RTI/STI) Cases - The records of reproductive tract infections along with the records of the sexually transmitted cases 8) Family Planning - The different methods used by families to keep track of family 9) CHILD IMMUNISATION - The records of child immunisation which are records of vaccination 10) Number of cases of Childhood Diseases (0-5 years) - The records of the number of cases of childhood diseases within the age of 5 years old 11) NVBDCP - The National Vector Borne Disease Control Programme (NVBDCP) is one of the most comprehensive and multi-faceted public health activities in the country and concerned with the prevention and control of vector-borne diseases, namely Malaria, Filariasis, Kala-azar, Dengue and Japanese Encephalitis (JE). 12) Adolescent Health - The record of the conditions of adolescent health 13 ) Directly Observed Treatment, Short-course (DOTS) - Directly observed treatment, short-course (DOTS, also known as TB-DOTS) is the name given to tuberculosis (TB) control strategy recommended by the World Health Organization 14) Patient Services - Patient Services means those which vary with the number of personnel; professional and para-professional skills of the personnel; specialised equipment, and reflect the intensity of the medical and psycho-social needs of the patients. 15) Laboratory Testing - A medical procedure that involves testing a sample of blood, urine, or other substance from the body. Laboratory tests can help determine a diagnosis, plan treatment, check if the treatment works, or monitor the disease over time. 16) Details of deaths reported with probable causes - The reports of deaths recorded with possible reasons are given in a detail 17) Vaccines - The reports of vaccines which are recorded 18) Syringes - It is the number of syringes that are used and recorded 19) Rashtriya Bal Swasthaya Karyakram (RBSK) - Rashtriya Bal Swasthya Karyakram (RBSK) is an important initiative aiming at early identification and early intervention for children from birth to 18 years to cover 4 'D's viz. Defects at birth, Deficiencies, Diseases, Development delays, including disability. 20) Coverage under WIFS JUNIOR - The coverage of the Weekly Iron Folic Acid Supplementation Programme for children six to one 21) Maternal Death Reviews (MDR) - A maternal death review cross-checks how the mother died. It provides a rare opportunity for a group of health staff and community members to learn from a tragic – and often preventable. 22) Janani Shishu Suraksha Karyakaram (JSSK)- This initiative provides free and cashless services to pregnant women, including standard deliveries and caesarean operations. It entitles all pregnant women in public health institutions to free and no-expense delivery, including caesarean section.

This Dataset contains indicators-wise data related to Family Planning, Maternal Health, and Immunization under HMIS for for each district of Tamil Nadu. It also contains age-group and rural and urban facility wise data.

Electronic health record data collected by the 4CE international consortium from 96 hospitals across 5countries and was used to compile lists of all the diagnoses recorded in the EHR for COVID19-patient (by using the ICD-9 or ICD-10 code for each diagnosis) starting from one week before their positive COVID-19 test.

Electronic health record (EHR) data was collected and compiled from 96 hospitals in the US, France, Italy, Germany, and Singapore from the 4 CE. Due to the privacy issue, some sites optionally obfuscated the values by replacing them with a coding number. The dataset includes daily new case count, patients to the ICU and the death numbers. It also provides the number of unmasked and masked site, and give the upper bound of the coding number for calculation.