Dataset Information

Recruitment of doctors to non-standard grades in the NHS: analysis of job advertisements and survey of advertisers.

ABSTRACT: To estimate the proportion of advertised non-consultant hospital posts that do not conform to nationally recognised terms and conditions of service and to investigate why these posts exist, who fills them, and what the doctors in such jobs do.Analysis of job advertisements and a cross sectional survey of advertisers.Job advertisements in one of the leading UK publications listing hospital doctor vacancies (BMJ Careers).Nearly a quarter of non-consultant posts advertised in the two study periods (23% and 21%) were for non-standard grade posts. A questionnaire was sent to the medical staffing officer for each post. Of 430 questionnaires sent out 192 (45%) were returned. 98 trusts said they advertised non-standard grades because there was no more funding from the deanery for approved posts and 75 because service needs could not be met by doctors in training grades. In 132 posts (69%) the post holder would be required to do on-call work, and 50 advertisers (26%) required on-call duty for 1 in 5 or more frequently, which would conflict with the European Working Time Directive. 131 advertisers (68%) expected the posts to be filled by doctors from outside the European Economic Area.Non-standard grade posts are mostly being created to meet service requirements when there is no more funding for standard training posts and are expected to be filled by doctors from overseas. Doctors in such posts can be more easily exploited and their careers hindered. The Department of Health's annual census should include non-standard grade doctors.

SUBMITTER: Dosani S

PROVIDER: S-EPMC259164 | biostudies-literature | 2003 Oct

REPOSITORIES: biostudies-literature

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Recruitment of doctors to non-standard grades in the NHS: analysis of job advertisements and survey of advertisers.

Dosani Sabina S Schroter Sara S MacDonald Rhona R Connor Jackie J

BMJ (Clinical research ed.) 20031001 7421

<h4>Objectives</h4>To estimate the proportion of advertised non-consultant hospital posts that do not conform to nationally recognised terms and conditions of service and to investigate why these posts exist, who fills them, and what the doctors in such jobs do.<h4>Design</h4>Analysis of job advertisements and a cross sectional survey of advertisers.<h4>Setting</h4>Job advertisements in one of the leading UK publications listing hospital doctor vacancies (BMJ Careers).<h4>Results</h4>Nearly a qu ...[more]

PMID: 14576247

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Project description:Purpose: A qualitative inquiry was conducted to investigate the qualification requirements of medical doctors in different professional fields and from different perspectives. The inquiry was part of an empirical workplace analysis. Methods: Seventy-four structured interviews were conducted and analyzed to examine critical incidents and behaviors of medical doctors working in different professional fields (clinical theory, clinical practice, practitioner) and disciplines, and from three different perspectives (medical doctors, non-medical staff, and patients). In addition, the National Competency-based Catalogue of Learning Objectives for Medical Education (Nationaler Kompetenzbasierter Lernzielkatalog Medizin / NKLM) was used. Results: The results revealed eleven relevant competencies, which could be categorized into three superordinate competence clusters: interpersonal, work-related, and self-related. The perspectives of medical doctors and non-medical staff included all eleven competencies. However, the perspective of patients did not include one interpersonal and two self-related competencies. Nearly all of the critical behaviors mentioned are included in the NKLM. However, the NKLM also includes behaviors that were not mentioned in the interviews. Conclusions: The behavior-oriented interviews resulted in a requirement profile that is very similar in structure to other competency models in occupational contexts. Comparisons of the different perspectives predominantly revealed similarities. However, the patient perspective also revealed interesting differences compared to the perspectives of medical doctors and non-medical staff. The behavior-related results of the interviews can be directly used for the development of exercises in selection and personnel development contexts and for potential appraisals specific to different medical disciplines. In future steps, the results of this initial qualitative step are to be replicated and extended using quantitative studies and a representative sample. The main overall objective is the definition of relevant competencies both for the selection and development of medical students and for the design of potential appraisals as part of personnel development programs in different medical disciplines.

Project description:Discrimination in the workplace is illegal, yet discriminatory practices remain a persistent global problem. To identify discriminatory practices in the workplace, job advertisement analysis was used by previous studies. However, most of those studies adopted content analysis by manually coding the text from a limited number of samples since working with a large scale of job advertisements consisting of unstructured text data is very challenging. Encountering those limitations, the present study involves text mining techniques to identify multiple types of direct discrimination on a large scale of online job advertisements by designing a method called Direct Discrimination Detection (DDD). The DDD is constructed using a combination of N-grams and regular expressions (regex) with the exact match principle of a Boolean retrieval model. A total of 8,969 online job advertisements in English and Bahasa Indonesia, published from May 2005 to December 2017 were collected from bursakerja-jateng.com as the data. The results reveal that the practices of direct discrimination still exist during the job-hunting process including gender, marital status, physical appearances, and religion. The most recurrent type of discrimination which occurs in job advertisements is based on age (66.27%), followed by gender (38.76%), and physical appearances (18.42%). Additionally, female job seekers are found as the most vulnerable party to experience direct discrimination during recruitment. The results exhibit female job seekers face complex jeopardy in particular job positions comparing to their male counterparts. Not only excluded because of their gender, but female job seekers also had to fulfil more requirements for getting an opportunity to apply for the jobs such as being single, still at a young age, complying specific physical appearances and particular religious preferences. This study illustrates the power and potential of optimizing computational methods on a large scale of unstructured text data to analyze phenomena in the social field.

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Dataset Information

Recruitment of doctors to non-standard grades in the NHS: analysis of job advertisements and survey of advertisers.

Publications

Recruitment of doctors to non-standard grades in the NHS: analysis of job advertisements and survey of advertisers.

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