Dataset Information

Career interest data trends in era information technology of high school students at Surabaya, Indonesia.

ABSTRACT: This research was conducted to determine trends in the career interests of high school students in Surabaya, East Java, Indonesia. The sample size was 981 consisting of 488 men and 493 women. The instrument used was a career interest scale that was compiled based on Holland's theory with six RIASEC domains (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional). The study design uses non-experimental, data collection through questionnaires given directly. Data were analyzed descriptively without using an explicit theoretical model. The career fields that are in high demand by high school students are the conventional fields that reach 42.30%, while the less desirable areas are the investigative fields which are only 3.98%. There are differences in career interests between men and women. Men prefer more realistic, artistic and enterprising fields, while women prefer social and conventional fields.

SUBMITTER: Mudhar

PROVIDER: S-EPMC7182710 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Career interest data trends in era information technology of high school students at Surabaya, Indonesia.

Mudhar Murwani F Danardana FD Hitipeuw Imanuel I Rahmawati Hetti H

Data in brief 20200418

This research was conducted to determine trends in the career interests of high school students in Surabaya, East Java, Indonesia. The sample size was 981 consisting of 488 men and 493 women. The instrument used was a career interest scale that was compiled based on Holland's theory with six RIASEC domains (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional). The study design uses non-experimental, data collection through questionnaires given directly. Data were analyzed ...[more]

PMID: 32346561

Similar Datasets

Project description:BACKGROUND:Consumer health information technology can improve patient engagement in their health care and assist in navigating the complexities of health care delivery. However, the consumer health information technology offerings of health systems are often driven by provider rather than patient perspectives and inadequately address patient needs, thus limiting their adoption by patients. Consideration given to patients as stakeholders in the development of such technologies may improve adoption, efficacy, and consumer health information technology resource allocation. OBJECTIVE:The aims of this paper were to measure patient interest in different health system consumer health information technology apps and determine the influence of patient characteristics on consumer health information technology interest. METHODS:Patients seen at the Cleveland Clinic Neurological Institute were electronically surveyed on their interest in using different consumer health information technology apps. A self-efficacy scale, Patient Health Questionnaire-9 depression screen, and EuroQol 5 dimensions health-related quality of life scale were also completed by patients. Logistic regression was used to determine the influence of patient characteristics on interest in consumer health information technology in the categories of self-management, education, and communication. RESULTS:The majority of 3852 patient respondents had an interest in all technology categories assessed in the survey. The highest interest was in apps that allow patients to ask questions of providers (3476/3852, 90.24%) and to schedule appointments (3211/3839, 83.64%). Patient interest in consumer health information technology was significantly associated with greater depression symptoms, worse quality of life, greater health self-efficacy, and smartphone ownership (P<.001 for all listed). CONCLUSIONS:Patients should be viewed as active stakeholders in consumer health information technology development and their perspectives should consistently guide development efforts. Health systems should consider focusing on consumer health information technologies that assist patients in scheduling appointments and asking questions of providers. Patients with depression should also be considered for targeted consumer health information technology implementation. Health self-efficacy is a valid predictor of consumer health information technology interest and may play a role in the utilization of consumer health information technologies. Health systems, broadly, should put forth greater effort to understand the needs and interests of patients in the consumer health information technology development process. Consumer health information technology design and implementation may be improved by understanding which technologies patients want.

Dataset Information

Career interest data trends in era information technology of high school students at Surabaya, Indonesia.

Publications

Career interest data trends in era information technology of high school students at Surabaya, Indonesia.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets