The interpretation of beds: More bedtime stories, or maybe they’re dreaming?

Rosen, Alan; Röck, Daniel; Salvador‐Carulla, Luis

doi:10.1177/0004867420969813

Cited by 10 publications

(16 citation statements)

References 5 publications

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“…As is also the case with the total number of beds, the total number of psychiatrists, nurses or psychologists at the macro level cannot be considered "evidence", and even less be used for resource allocation and planning at the local level. These figures are unreliable indicators for mental health planning, due to non-commensurability bias, terminological variability, ecological fallacy, risk of surrogation and objectification [46]. For example, our results showed significant differences in the data at local level from that provided the national level by WHO.…”

Section: Discussioncontrasting

confidence: 61%

A new bottom-up method for the standard analysis and comparison of workforce capacity in mental healthcare planning: Demonstration study in the Australian Capital Territory

et al. 2021

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The aims of this study are to evaluate and describe mental health workforce and capacity, and to describe the relationship between workforce capacity and patterns of care in local areas. We conducted a comparative demonstration study of the applicability of an internationally validated standardised service classification instrument—the Description and Evaluation of Services and Directories—DESDE-LTC) using the emerging mental health ecosystems research (MHESR) approach. Using DESDE-LTC as the framework, and drawing from international occupation classifications, the workforce was classified according to characteristics including the type of care provided and professional background. Our reference area was the Australian Capital Territory, which we compared with two other urban districts in Australia (Sydney and South East Sydney) and three benchmark international health districts (Helsinki-Uusima (Finland), Verona (Italy) and Gipuzkoa (Spain)). We also compared our data with national level data where available. The Australian and Finnish regions had a larger and more highly skilled workforce than the southern European regions. The pattern of workforce availability and profile varied, even within the same country, at the local level. We found significant differences between regional rates of identified rates of psychiatrists and psychologists, and national averages. Using a standardised classification instrument at the local level, and our occupational groupings, we were able to assess the available workforce and provide information relevant to planners about the actual capacity of the system. Data obtained at local level is critical to providing planners with reliable data to inform their decision making.

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Section: Discussioncontrasting

confidence: 61%

A new bottom-up method for the standard analysis and comparison of workforce capacity in mental healthcare planning: Demonstration study in the Australian Capital Territory

et al. 2021

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“…Different fidelity scores for implemen tation of the various intervention mod els and programs across regions suggest variations in the translation of crisis care packages 4 . The unpredictability of crisis presentations and the need for urgent care complicate the evaluation of interventions.…”

Section: Acute Psychiatric Care: the Need For Contextual Understandin...mentioning

confidence: 99%

No service is an island: towards an ecosystem approach to mental health service evaluation

Rosen

Salvador‐Carulla

2022

World Psychiatry

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“…Australian & New Zealand Journal of Psychiatry, 55(12) Rosen et al (2020) proffer an alternative point of view. They defend the participation of experts in deciding the NMHSPF's algorithms, but strongly object to comparing their low targets with the international benchmarks.…”

Section: Response Tomentioning

confidence: 99%

“…They defend the participation of experts in deciding the NMHSPF's algorithms, but strongly object to comparing their low targets with the international benchmarks. International comparisons are complex due to variations in health systems and data definitions (Allison et al, 2020), andRosen et al (2020) cite methodological issues as a rationale for avoiding these comparisons. Instead, they focus on the largely untested field of 'mental healthcare ecosystems' and regional atlases.…”

Section: Response Tomentioning

confidence: 99%

Responses to the opinion-based algorithms driving the National Mental Health Service Planning Framework

Allison

Bastiampillai

Looi

et al. 2021

Aust N Z J Psychiatry

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form of diabetes when using olanzapine. Clinicians should be aware of this rare form of diabetes because adequate treatments could attenuate this type of diabetes. Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article. Table 1. Three identified phenotypes' characteristics of diabetes mellitus. Type 1 diabetes Type 2 diabetes Atypical diabetes Onset age Mostly less than 18 years old Majority in fourth decade or more Mostly third or fourth decade Family history of diabetes Moderate Strong No association Body weight Low or Normal Overweight or Normal Normal Hyperglycemia at diagnosis Moderate Moderate Severe

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The interpretation of beds: More bedtime stories, or maybe they’re dreaming?

Cited by 10 publications

References 5 publications

A new bottom-up method for the standard analysis and comparison of workforce capacity in mental healthcare planning: Demonstration study in the Australian Capital Territory

A new bottom-up method for the standard analysis and comparison of workforce capacity in mental healthcare planning: Demonstration study in the Australian Capital Territory

No service is an island: towards an ecosystem approach to mental health service evaluation

Responses to the opinion-based algorithms driving the National Mental Health Service Planning Framework

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