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Background: It is important to examine perinatal deaths as part of a national mortality audit to identify risk factors. Implementing and re-evaluating recommendations from perinatal mortality audits completes the audit cycle, preventing similar deaths in the future. Lack of implementation results in recommendations recurring.Objectives: In this study we examine national perinatal mortality audits' methodology in four high-income countries (United Kingdom, New Zealand, Ireland, Netherlands) to highlight different approaches taken. We compare the recommendations made in these audits' reports over the last five years, as well as review national initiatives and programmes addressing them.Study Design: This study is an integrative review where two comprehensive literature searches were completed: on established national perinatal mortality audits in high-income countries; and on national initiatives addressing recommendations from these audits. Content analysis of the audits' recommendations was performed organising them into themes according to topics these focused on.Results: Though the methodology of the national perinatal mortality audits varied, all four were state-funded and had standardised online data collection forms to report deaths. The recommendations themes included: Raising public awareness of perinatal mortality risk factors, Detection of fetal growth restriction, Prevention of preterm birth, Resources for data collection and review. Only the UK had various initiatives addressing perinatal mortality risk factors directly. New Zealand included stakeholders in the audit recommendations' development and provided updates on their implementation. The Netherlands developed a programme for audit recommendation implementation. Ireland created a group which is progressing some recommendations from the audit.Conclusions: National perinatal mortality audits are important in identifying contributory factors and making recommendations to address these. Recurring recommendations suggest a failure to resolve the identified issues. This study shows how some challenges are common to high-income countries' audits, highlighting the need for shared learning of successful initiatives. [ABSTRACT FROM AUTHOR]

To identify the patient classification systems used to classify nursing intensity in the assessment of nursing staffing resources currently used in home health care, with a special emphasis on validity, reliability and staff allocation. Scoping review of internationally published and grey literature, based on a methodological framework by Arksey and O'Malley. Searches of the electronic databases Cinahl, Medline, Embase and SweMed, the websites Google and Google Scholar and hand searches of reference lists occurred. Eligibility criteria included (A) a focus on patient classification systems measuring nursing intensity and workload in home health care and (B) published in English between January 2007 and March 2019. In level one testing two team members screened titles and abstracts, in level two testing two team members determined which papers should undergo a full text review. Data were extracted using structured extraction by one team member and verified by two other members. Thirteen peer-reviewed articles and grey literature documents were identified, from Canada, Ireland, the UK, the USA, Scotland, Turkey and the Netherlands. Four patient classification systems had been tested for both validity and reliability. Validity was tested through face validity, predictive validity, concurrent validity or content validity index. Reliability was tested through stability, internal consistency, observer agreement or inter rater reliability. One patient classification system had been tested only for reliability, through interrater reliability and observer agreement. Two patient classification systems had been evaluated through summative evaluation; one qualitatively through focus group interviews and one through semi-structured interviews. Only one patient classification system had been validity and reliability tested and evaluated. Overall, the patient classification systems in the included papers (13) were considered to have benefits and to be appropriate for the measurement of patients' needs, workload and allocation of staff, although specific information was not always given. Little has been published on validity or reliability tested patient classification systems linked to staffing allocation in home health care in the past decade. Limited research was seen where a patient classification system was considered to be fully operational in home health care. [ABSTRACT FROM AUTHOR]