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  1. Chang KH, Horrocks S
    Int J Nurs Pract, 2008 Oct;14(5):383-90.
    PMID: 18808539 DOI: 10.1111/j.1440-172X.2008.00702.x
    A lot of research carried out within the context of mental-health nursing using qualitative data collection tools claims that it is hermeneutical, with usually just a short section describing the hermeneutical methodology as though it is a very broad philosophical approach. Criticisms of the latter approach more often than not concentrate on the level of the data collection tools without getting to grips with the underlying hermeneutical philosophy. This paper examines the difference between methodological and ontological hermeneutics and then gives an example of a piece of research using the latter approach. It is then argued that criticisms of the hermeneutical approach usually only concentrate on methodological hermeneutics with the consequence that they seriously misapply their criticisms if the research is using ontological hermeneutics.
    Matched MeSH terms: Psychiatric Nursing/manpower*
  2. Namasivayam P, Lee S, O'Connor M, Barnett T
    J Clin Nurs, 2014 Jan;23(1-2):173-80.
    PMID: 23651099 DOI: 10.1111/jocn.12242
    AIMS AND OBJECTIVES: To describe the process that nurses experienced in engaging with families in Malaysian palliative care settings and the challenges they faced.
    BACKGROUND: In palliative care settings, nurses and the terminally ill person's family members interact very closely with each other. It is important for nurses to work with families to ensure that the care of the terminally ill person is optimised.
    RESEARCH DESIGN: A qualitative design using grounded theory methods was used to describe how nurses engaged with families and the challenges they faced.
    METHODS: Twenty-two nurses from home care and inpatient palliative care settings across Malaysia participated in this study. Data were collected through seven interviews and eight focus group discussions conducted between 2007-2009.
    RESULTS: The main problem identified by nurses was the different expectations to patient care with families. The participants used the core process of Engaging with families to resolve these differences and implemented strategies described as Preparing families for palliative care, Modifying care and Staying engaged to promote greater consistency and quality of care. When participants were able to resolve their different expectations with families, these resulted in positive outcomes, described as Harmony. However, negative outcomes of participants not being able to resolve their different expectations with families were Disharmony.
    CONCLUSIONS: This study highlights the importance of engaging and supporting families of the terminally ill as well as providing a guide that may be used by nurses and carers to better respond to families' needs and concerns.
    RELEVANCE TO CLINICAL PRACTICE: The study draws attention to the need for formal palliative care education, inclusive of family care, to enable nurses to provide the terminally ill person and their family effective and appropriate care.
    KEYWORDS: Malaysia; beliefs; families; grounded theory; multicultural; nurses; nursing care; palliative care; terminally ill
    Matched MeSH terms: Hospice and Palliative Care Nursing/manpower*
  3. Barnett T, Namasivayam P, Narudin DA
    Int Nurs Rev, 2010 Mar;57(1):32-9.
    PMID: 20487472 DOI: 10.1111/j.1466-7657.2009.00784.x
    This paper describes and critically reviews steps taken to address the nursing workforce shortage in Malaysia.
    Matched MeSH terms: Nursing/manpower*
  4. Guo P, Chiew YS, Shaw GM, Shao L, Green R, Clark A, et al.
    Intensive Crit Care Nurs, 2016 Dec;37:52-61.
    PMID: 27401048 DOI: 10.1016/j.iccn.2016.05.003
    Monitoring clinical activity at the bedside in the intensive care unit (ICU) can provide useful information to evaluate nursing care and patient recovery. However, it is labour intensive to quantify these activities and there is a need for an automated method to record and quantify these activities. This paper presents an automated system, Clinical Activity Tracking System (CATS), to monitor and evaluate clinical activity at the patient's bedside. The CATS uses four Microsoft Kinect infrared sensors to track bedside nursing interventions. The system was tested in a simulated environment where test candidates performed different motion paths in the detection area. Two metrics, 'Distance' and 'Dwell time', were developed to evaluate interventions or workload in the detection area. Results showed that the system can accurately track the intervention performed by individual or multiple subjects. The results of a 30-day, 24-hour preliminary study in an ICU bed space matched clinical expectations. It was found that the average 24-hour intervention is 22.0minutes/hour. The average intervention during the day time (7am-11pm) is 23.6minutes/hour, 1.4 times higher than 11pm-7am, 16.8minutes/hour. This system provides a unique approach to automatically collect and evaluate nursing interventions that can be used to evaluate patient acuity and workload demand.
    Matched MeSH terms: Critical Care Nursing/manpower
  5. Ludin SM
    Intensive Crit Care Nurs, 2018 Feb;44:1-10.
    PMID: 28663105 DOI: 10.1016/j.iccn.2017.06.002
    BACKGROUND: A critical thinker may not necessarily be a good decision-maker, but critical care nurses are expected to utilise outstanding critical thinking skills in making complex clinical judgements. Studies have shown that critical care nurses' decisions focus mainly on doing rather than reflecting. To date, the link between critical care nurses' critical thinking and decision-making has not been examined closely in Malaysia.

    AIM: To understand whether critical care nurses' critical thinking disposition affects their clinical decision-making skills.

    METHOD: This was a cross-sectional study in which Malay and English translations of the Short Form-Critical Thinking Disposition Inventory-Chinese Version (SF-CTDI-CV) and the Clinical Decision-making Nursing Scale (CDMNS) were used to collect data from 113 nurses working in seven critical care units of a tertiary hospital on the east coast of Malaysia. Participants were recruited through purposive sampling in October 2015.

    RESULTS: Critical care nurses perceived both their critical thinking disposition and decision-making skills to be high, with a total score of 71.5 and a mean of 48.55 for the SF-CTDI-CV, and a total score of 161 and a mean of 119.77 for the CDMNS. One-way ANOVA test results showed that while age, gender, ethnicity, education level and working experience factors significantly impacted critical thinking (p<0.05), only age and working experience significantly impacted clinical decision-making (p<0.05). Pearson's correlation analysis showed a strong and positive relationship between critical care nurses' critical thinking and clinical decision-making (r=0.637, p=0.001).

    CONCLUSION: While this small-scale study has shown a relationship exists between critical care nurses' critical thinking disposition and clinical decision-making in one hospital, further investigation using the same measurement tools is needed into this relationship in diverse clinical contexts and with greater numbers of participants. Critical care nurses' perceived high level of critical thinking and decision-making also needs further investigation.

    Matched MeSH terms: Critical Care Nursing/manpower
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