Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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    Slow and steady-small, but insufficient, changes in food and drink availability after four years of implementing a healthy food policy in New Zealand hospitals
    (BioMed Central Ltd, 2024-12) Mackay S; Rosin M; Kidd B; Gerritsen S; Shen S; Jiang Y; Te Morenga L; Ni Mhurchu C
    BACKGROUND: A voluntary National Healthy Food and Drink Policy (the Policy) was introduced in public hospitals in New Zealand in 2016. This study assessed the changes in implementation of the Policy and its impact on providing healthier food and drinks for staff and visitors in four district health boards between 1 and 5 years after the initial Policy introduction. METHODS: Repeat, cross-sectional audits were undertaken at the same eight sites in four district health boards between April and August 2017 and again between January and September 2021. In 2017, there were 74 retail settings audited (and 99 in 2021), comprising 27 (34 in 2021) serviced food outlets and 47 (65 in 2021) vending machines. The Policy's traffic light criteria were used to classify 2652 items in 2017 and 3928 items in 2021. The primary outcome was alignment with the Policy guidance on the proportions of red, amber and green foods and drinks (≥ 55% green 'healthy' items and 0% red 'unhealthy' items). RESULTS: The distribution of the classification of items as red, amber and green changed from 2017 to 2021 (p < 0.001) overall and in serviced food outlets (p < 0.001) and vending machines (p < 0.001). In 2021, green items were a higher proportion of available items (20.7%, n = 815) compared to 2017 (14.0%, n = 371), as were amber items (49.8%, n = 1957) compared to 2017 (29.2%, n = 775). Fewer items were classified as red in 2021 (29.4%, n = 1156) than in 2017 (56.8%, n = 1506). Mixed dishes were the most prevalent green items in both years, representing 11.4% (n = 446) of all items in 2021 and 5.5% (n = 145) in 2017. Fewer red packaged snacks (11.6%, n = 457 vs 22.5%, n = 598) and red cold drinks (5.2%, n = 205 vs 12.5%, n = 331) were available in 2021 compared to 2017. However, at either time, no organisation or setting met the criteria for alignment with the Policy (≥ 55% green items, 0% red items). CONCLUSIONS: Introduction of the Policy improved the relative healthiness of food and drinks available, but the proportion of red items remained high. More dedicated support is required to fully implement the Policy.
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    Lowering hospital walls to achieve health equity
    (BMJ Publishing Group Ltd, 2018-09-20) Matheson A; Bourke C; Verhoeven A; Khan MI; Nkunda D; Dahar Z; Ellison-Loschmann L
    Hospitals have evolved to become integral and dominant components of health systems, although their functions, organisation, size, degree of centralisation, and resourcing varies across countries. Despite this diversity, hospitals are generally focused on providing services for sick people rather than prevention. Although many have shown the capacity to quickly adopt new technologies, especially for diagnosing and managing illness, achieving institutional change to tackle the systemic causes of health inequities has proved much more difficult. We argue that the actions of hospitals contribute to health inequities. This is important given that hospitals hold an inordinate share of power, resources, and influence within health and community systems—while primary care and prevention are consistently undervalued and underfunded. We draw on four opportunistically selected country case examples to show the role that hospitals can play in overcoming systemic barriers to health equity. Each example highlights health sector actions taken for particular population groups: women and children in Pakistan and Rwanda and the indigenous peoples of Australia and New Zealand.
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    Effectiveness of hospital transfer payments under a prospective payment system: An analysis of a policy change in New Zealand
    (John Wiley and Sons Ltd, 2022-07) Schumacher C
    Prospective payment systems reimburse hospitals based on diagnosis-specific flat fees, which are generally based on average costs. While this encourages cost-consciousness on the part of hospitals, it introduces undesirable incentives for patient transfers. Hospitals might feel encouraged to transfer patients if the expected treatment costs exceed the diagnosis-related flat fee. A transfer fee would discourage such behavior and, therefore, could be welfare enhancing. In 2003, New Zealand introduced a fee to cover situations of patient transfers between hospitals. We investigate the effects of this fee by analyzing 4,020,796 healthcare events from 2000 to 2007 and find a significant reduction in overall transfers after the policy change. Looking at transfer types, we observe a relative reduction in transfers to non-specialist hospitals but a relative increase in transfers to specialist facilities. It suggests that the policy change created a focusing effect that encourages public health care providers to transfer patients only when necessary to specialized providers and retain those patients they can treat. We also find no evidence that the transfer fee harmed the quality of care, measured by mortality, readmission and length of stay. The broader policy recommendation of this research is the introduction or reassessment of transfer payments to improve funding efficiency.
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    The use of telephone communication between nurse navigators and their patients
    (Public Library of Science (PLoS), 2020) Heritage B; Harvey C; Brown J; Hegney D; Willis E; Baldwin A; Heard D; Mclellan S; Clayton V; Claes J; Lang M; Curnow V
    Background Hospitals and other health care providers frequently experience difficulties contacting patients and their carers who live remotely from the town where the health service is located. In 2016 Nurse Navigator positions were introduced into the health services by Queensland Health, to support and navigate the care of people with chronic and complex conditions. One hospital in Far North Queensland initiated an additional free telephone service to provide another means of communication for patients and carers with the NNs and for off-campus health professionals to obtain details about a patient utilising the service. Calls made between 7am and 10pm, seven days per week are answered by a nurse navigator. Aim To report utilisation of the service by navigated clients and remotely located clinicians compared to use of navigators’ individual work numbers and direct health service numbers. We report the reason for calls to the free number and examine features of these calls. Methods Statistical analysis examined the call reason, duration of calls, setting from where calls originated and stream of calls. Interactions between the reasons for calls and the features of calls, such as contact method, were examined. Results The major reason for calls was clinical issues and the source of calls was primarily patients and carers. Clinical calls were longer in duration. Shorter calls were mainly non-clinical, made by a health professional. Setting for calls was not related to the reason. The most frequent number used was the individual mobile number of the NN, followed by the hospital landline. Although the free number was utilised by patients and carers, it was not the preferred option. Conclusion As patients and carers preferred to access their NN directly than via the 1800 number, further research should explore options best suited to this group of patients outside normal business hours.