Finding specific modules and sub-modules
How to find individual readyforwhatsnext modules and sub-modules.
Category: Documentation
Find model modules and datasets
How to find individual modules, module libraries, dataset collections and datasets.
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Our priorities
Our current list of priorities for the development of readyforwhatsnext shape when and how we need your help.
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Use readyforwhastsnext model modules
How to use readyforwhatsnext model modules to model the people, places, platforms and programs that shape young people’s mental health.
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System requirements
What you need in order to be able to use readyforwhatsnext model software on your machine.
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Finding programs
Programs are used to generate and report a model analysis.
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Installing readyforwhatsnext model modules
To implement a modelling analysis with readyforwhatsnext you need to install model module R libraries.
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Create a synthetic population of young people attending primary mental health services
We created a basic synthetic dataset of to represent a clinical youth mental health sample.
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How to help
There are a number of ways you can contribute to readyforwhatsnext.
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Model module libraries
Bundles of readyforwhatsnext modules are distributed as R libraries.
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Terms of use
readyforwhatsnext is distributed without warranties under open source licenses - we just ask you to appropriately cite it.
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Add metadata to datasets of individual human records
Appending appropriate metadata to datasets of individual unit records can facilitate partial automation of some modelling tasks. This tutorial describes how a module from the youthvars R package can help you to add metadata to a youth mental health dataset so that it can be more readily used by other readyforwhatsnext modules.
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Overview
About the readyforwhatsnext model.
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Examples
See how readyforwhatsnext has been applied to model real world decision problems in youth mental health.
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Getting started
What you need to know to start using readyforwhatsnext.
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The readyforwhatsnext model
readyforwhatsnext is an in-development modular economic model of the systems shaping the mental helath of young people. It is comprised of four sub-models.
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Modules pipeline
Unreleased software and other preliminary work is currently being developed into readyforwhatsnext model modules.
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Model health utility
Replication programs for developing, finding and applying utility mapping algorithms.
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Model youth choices
Replication programs for designing, analysing and reporting discrete choice experiments.
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Create synthetic populations
Replication programs for constructing synthetic populations.
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Using readyforwhatsnext programs
The code used when applying readyforwhatsnext modules to a number of real world youth mental health policy and research projects is publicly available for review and reuse.
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Validate variable total scores
Vector based classes can be used to help validate variable values. This tutorial describes how to do that with sub-module classes exported as part of the youthvars R package.
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Find open access model data
Tools from the ready4 framework library can be used to search for relevant open access readyforwhatsnext model data collections and datasets.
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Standardise Variable Values With Fuzzy Logic And Correspondence Tables
Costing health economic datasets is an activity that can involve repeated use of lookup tables. This tutorial describes how a module from the costly R package can help you to use a combination of fuzzy logic and correspondence tables to standardise variable values and thus facilitate partial automation of costing algorithms.
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Modules for modelling people
Modules to model the characteristics, relationships, behaviours, risk factors and outcomes of young people and individuals who interact with young people are collectively referred to as the “Spring To Life” sub-model. A table summarising Spring To Life module libraries for modelling people is available. Additional information (e.g. tutorials and blog articles) about currently available Spring To Life modules is labelled with the “model-modules-people” tag. Resources about Spring To Life datasets are tagged with “data-datasets-people”. Brief information about additional unreleased Spring To Life modules that are in development is also available.
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Standardise Variable Values With Lookup Codes
This tutorial describes how a module from the costly R package can help you to use lookup codes to standardise variable values and thus facilitate partial automation of costing algorithms.
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Modules for modelling places
Modules for spatio-temporal modelling of the environments that shape young people’s mental health are collectively referred to as the “Springtides” sub-model. Both Springtides module libraries for modelling places that are available are highly preliminary and lack tutorials to demonstrate their use. A deprecated app built using these libraries is available for illustration purposes. Resources relating to preliminary and unreleased modules for the Springtides model is tagged with the “model-modules-places” tag and those relating to compatible datasets are tagged with “data-datasets-places”. Brief information on unreleased work in progress module libraries are also available.
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Score health utility
Using modules from the scorz R package, individual responses to a multi-attribute utility instrument survey can be converted into health utility total scores. This tutorial describes how to do for adolescent AQoL-6D health utility.
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Modules for modelling platforms
Modules that model the processes, eligibility requirements, staffing and configurations of youth service platforms are collectively referred to as the “First Bounce” sub-model. No First Bounce modules are yet available - see details on unreleased work in progress.
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Modules for modelling programs
Modules for modelling the efficacy, cost-effectiveness and budget impact of youth mental health programs (e.g. interventions for prevention, treatment and wellbeing) are collectively referred to as the “On Target” sub-model. There are currently two development releases of On Target module libraries for modelling programs but both are highly preliminary. Resources (including tutorials) relating to these module libaries is tagged with “model-modules-programs”.
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Tutorials
Learn how to find and use readyforwhatsnext modules and datasets.
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Explore candidate utility mapping models
Using modules from the specific R package, it is possible to undertake an exploratory utility mapping analysis. This tutorial illustrates a hypotehtical example of exploring how to map to EQ-5D health utility.
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Implement a utility mapping study
Using modules from the TTU R package, it is possible to implement a fully reproducible utility mapping study. This tutorial illustrates the main steps using a hypothetical AQoL-6D utility mapping study.
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Example 1: Predict health utility from psychological and functional measures (PHQ-9 and SOFAS)
This tutorial illustrates the main steps for predicting AQoL-6D utility from psychological and functional measures using a longitudinal dataset in long format.
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Example 2: Predict health utility from psychological measures (PHQ-9 and GAD-7)
This tutorial illustrates the main steps for predicting AQoL-6D utility from two psychological measures using a longitudinal dataset in wide format.
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Find and deploy utility mapping models
Using tools (soon to be formalised into ready4 modules) from the youthu R package, it is possible to find and deploy relevant utility mapping algorithms.
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Design a Discrete Choice Experiment
We used functions (soon to be formalised into ready4 modules) from the mychoice R package to design to a discrete choice experiment.
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Use utility mapping algorithms to help implement cost-utility analyses
Using tools (soon to be formalised into ready4 framework modules) from the youthu R package, it is possible to use utility mapping algorithms to help implement cost-utility analyses. This tutorial illustrates the main steps for doing so using psychological and functional measures collected on clinical samples of young people.
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Develop choice models
Using tools (soon to be formalised into ready4 framework modules) from the mychoice R package, it is possible to develop choice models from responses to a discrete choice experiment survey.
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Analyse the results of a Discrete Choice Experiment
Using functions (soon to be formalised into ready4 framework modules) from the mychoice R package, it is possible to develop choice models from responses to a discrete choice experiment survey.
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Predicting the spatial epidemiology of emerging mental disorders
We previously developed a user interface for the epidemiology modules of our Springtides model of places.
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Develop health utility mapping algorithms
Using modules from the TTU, youthvars, scorz and specific libraries, we developed utility mapping algorithms from a sample of young people attending primary mental health care services.
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Predict health utility
Using functions (soon to be formalised into ready4 framework modules) from the youthu R package, we predicted health utility for a synthetic population of young people attending primary mental health care services.
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Programs for replicating study designs and analyses
R Markdown Programs combine modules of the readyforwhatsnextmodel with compatible datasets to implement reproducible and replicable analyses of youth mental health policy and system design topics.
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Subroutines (reporting templates)
Subroutines perform part of an analysis and reporting algorithm.
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Decision aids
User interfaces can make it easier to generate practical insight from readyforwhatsnext model modules.
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Provide advice
ready4 needs the guidance of community members, decision-makers and technical experts to shape its development.
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Contribute code
Help improve the reliability, functionality and ease of use of ready4 software.
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Contribute to our development
How to contribute to readyforwhatsnext.
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Fund projects
Help us secure our future and accelerate our development.
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Undertake projects
Plan, conduct and disseminate readyforwhatsnext modelling projects.
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Support the readyforwhatsnext community
Help develop high quality, clear and comprehensive documentation, instruction and responsive help.
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Contributor covenant (code of conduct)
To foster an inclusive and respectful community, all contributors to readyforwhatsnext are expected to adhere to the Contributor Covenant.
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Open source licensing
readyforwhatsnext is freely available to all under copy-left licensing arrangements.
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Citing readyforwhatsnext
If you find readyforwhatsnext useful, please cite it appropriately - it is easy to do!
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Disclaimer
readyforwhatsnext is distributed without any warranties.
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Priority 1: Launch a Minimum Viable Product (MVP)
We want to give potential users confidence that they can appropriately apply readyforwhatsnext to their decision problems by bringing all our existing development release and unreleased software to production release status.
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Priority 2: Maintain readyforwhatsnext
We want the readyforwhatsnext to continually improve and update in response to the needs of potential users and stakeholders.
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Priority 3: Apply readyforwhatsnext to undertake replications and transfers
We want readyforwhatsnext to be used to implement replications and transfersof the original studies for which that software was developed.
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Priority 4: Grow a user community
We want to develop a community of readyforwhatsnext users, contributors and stakeholders to sustain the development, maintenance, application, extension and impact of the project.
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Priority 5: Extend the scope of the readyforwhatsnext model
We want progressively extend the capability of readyforwhatsnext to explore new economic topics in youth mental health.
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Priority 6: Integrate readyforwhatsnext software with other open source tools
We want coders and modellers working in languages such as python to be able to readily use and contribute to readyforwhatsnext.
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Pipeline of people modules
Current unreleased work to develop modules for modelling the characteristics, relationships, behaviours, risk factors and outcomes of young people and those important to them.
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Pipeline of places modules
Current unreleased work to develop modules for modelling the demographic, environmental and proximity drivers of access, equity and outcomes in youth mental health.
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Pipeline of platforms modules
Current unreleased work to develop modules for modelling the optimal staffing and configuration of support services for young people.
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Pipeline of programs modules
Current preliminary work to develop modules for modelling the affordability, value for money and appropriate targeting of interventions for young people.