Dataset Information

Mapping the literature of health care chaplaincy.

ABSTRACT: OBJECTIVE: This study examined citation patterns and indexing coverage from 2008 to 2010 to determine (1) the core literature of health care chaplaincy and (2) the resources providing optimum coverage for the literature. METHODS: Citations from three source journals (2008-2010 inclusive) were collected and analyzed according to the protocol created for the Mapping the Literature of Allied Health Professions Project. An analysis of indexing coverage by five databases was conducted. A secondary analysis of self-citations by source journals was also conducted. RESULTS: The 3 source journals--Chaplaincy Today, the Journal of Health Care Chaplaincy, and the Journal of Pastoral Care and Counseling--ranked as the top 3 journals in Zone 1 and provided the highest number of most frequently cited articles for health care chaplaincy. Additional journals that appeared in this highly productive zone covered the disciplines of medicine, psychology, nursing, and religion, which were also represented in the Zones 2 and 3 journals. None of the databases provided complete coverage for the core journals; however, MEDLINE provided the most comprehensive coverage for journals in Zones 1 and 2, followed by Academic Search Complete, CINAHL, PsycINFO, and ATLA. Self-citations for the source journals ranged from 9% to 16%. CONCLUSIONS: Health care chaplaincy draws from a diverse body of inter-professional literature. Libraries wishing to provide access to journal literature to support health care chaplaincy at their institutions will be best able to do this by subscribing to databases and journals that cover medical, psychological, nursing, and religion- or spirituality-focused disciplines.

SUBMITTER: Johnson E

PROVIDER: S-EPMC3738080 | biostudies-other | 2013 Jul

REPOSITORIES: biostudies-other

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Mapping the literature of health care chaplaincy.

Johnson Emily E Dodd-McCue Diane D Tartaglia Alexander A McDaniel Jennifer J

Journal of the Medical Library Association : JMLA 20130701 3

<h4>Objective</h4>This study examined citation patterns and indexing coverage from 2008 to 2010 to determine (1) the core literature of health care chaplaincy and (2) the resources providing optimum coverage for the literature.<h4>Methods</h4>Citations from three source journals (2008-2010 inclusive) were collected and analyzed according to the protocol created for the Mapping the Literature of Allied Health Professions Project. An analysis of indexing coverage by five databases was conducted. A ...[more]

PMID: 23930090

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Project description:BackgroundData science offers an unparalleled opportunity to identify new insights into many aspects of human life with recent advances in health care. Using data science in digital health raises significant challenges regarding data privacy, transparency, and trustworthiness. Recent regulations enforce the need for a clear legal basis for collecting, processing, and sharing data, for example, the European Union's General Data Protection Regulation (2016) and the United Kingdom's Data Protection Act (2018). For health care providers, legal use of the electronic health record (EHR) is permitted only in clinical care cases. Any other use of the data requires thoughtful considerations of the legal context and direct patient consent. Identifiable personal and sensitive information must be sufficiently anonymized. Raw data are commonly anonymized to be used for research purposes, with risk assessment for reidentification and utility. Although health care organizations have internal policies defined for information governance, there is a significant lack of practical tools and intuitive guidance about the use of data for research and modeling. Off-the-shelf data anonymization tools are developed frequently, but privacy-related functionalities are often incomparable with regard to use in different problem domains. In addition, tools to support measuring the risk of the anonymized data with regard to reidentification against the usefulness of the data exist, but there are question marks over their efficacy.ObjectiveIn this systematic literature mapping study, we aim to alleviate the aforementioned issues by reviewing the landscape of data anonymization for digital health care.MethodsWe used Google Scholar, Web of Science, Elsevier Scopus, and PubMed to retrieve academic studies published in English up to June 2020. Noteworthy gray literature was also used to initialize the search. We focused on review questions covering 5 bottom-up aspects: basic anonymization operations, privacy models, reidentification risk and usability metrics, off-the-shelf anonymization tools, and the lawful basis for EHR data anonymization.ResultsWe identified 239 eligible studies, of which 60 were chosen for general background information; 16 were selected for 7 basic anonymization operations; 104 covered 72 conventional and machine learning-based privacy models; four and 19 papers included seven and 15 metrics, respectively, for measuring the reidentification risk and degree of usability; and 36 explored 20 data anonymization software tools. In addition, we also evaluated the practical feasibility of performing anonymization on EHR data with reference to their usability in medical decision-making. Furthermore, we summarized the lawful basis for delivering guidance on practical EHR data anonymization.ConclusionsThis systematic literature mapping study indicates that anonymization of EHR data is theoretically achievable; yet, it requires more research efforts in practical implementations to balance privacy preservation and usability to ensure more reliable health care applications.

Project description:BACKGROUND: The evolving concepts of pervasive computing, ubiquitous computing and ambient intelligence are increasingly influencing health care and medicine. Summarizing published research, this literature review provides an overview of recent developments and implementations of pervasive computing systems in health care. It also highlights some of the experiences reported in deployment processes. METHODS: There is no clear definition of pervasive computing in the current literature. Thus specific inclusion criteria for selecting articles about relevant systems were developed. Searches were conducted in four scientific databases alongside manual journal searches for the period of 2002 to 2006. Articles included present prototypes, case studies and pilot studies, clinical trials and systems that are already in routine use. RESULTS: The searches identified 69 articles describing 67 different systems. In a quantitative analysis, these systems were categorized into project status, health care settings, user groups, improvement aims, and systems features (i.e., component types, data gathering, data transmission, systems functions). The focus is on the types of systems implemented, their frequency of occurrence and their characteristics. Qualitative analyses were performed of deployment issues, such as organizational and personnel issues, privacy and security issues, and financial issues. This paper provides a comprehensive access to the literature of the emerging field by addressing specific topics of application settings, systems features, and deployment experiences. CONCLUSION: Both an overview and an analysis of the literature on a broad and heterogeneous range of systems are provided. Most systems are described in their prototype stages. Deployment issues, such as implications on organization or personnel, privacy concerns, or financial issues are mentioned rarely, though their solution is regarded as decisive in transferring promising systems to a stage of regular operation. There is a need for further research on the deployment of pervasive computing systems, including clinical studies, economic and social analyses, user studies, etc.

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Dataset Information

Mapping the literature of health care chaplaincy.

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Mapping the literature of health care chaplaincy.

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