Evidence4Impact

Monash Evidence Review · Evidence synthesis service

Know what works before you commit the budget.

Our team turns the research on your question into a rated, decision-ready answer — in as little as one to two weeks. Government agencies, health services and education bodies use our reviews to direct funding, shape policy and design programs with fewer costly surprises.

  • FasterRapid formats in weeks, where a traditional systematic review averages over a year.
  • DefensibleEvery search, exclusion and rating documented, with a named reviewer behind it.
  • UsedClients report our reviews feeding into policy, planning and funding decisions.
What lands on your desk Moderate confidence

Your questionWe are restructuring. Does involving affected staff in the design change how many of them leave?

Yes, probably: involving staff early tends to go with fewer people leaving. How big that effect is varies between organisations.

Why moderate
Studies mostly agree, but few are set in organisations like yours.
Rests on
Published studies of workplace change, read alongside your turnover data.
Next step
Co-design wave one with staff and track turnover before committing wave two.

Sample of the format we deliver — not a finding from a completed review.

100+reviews and related reports delivered by our team since 2021
A$47mAustralian Government research investment prioritised with our input
62 daysaverage turnaround across the 19 rapid reviews in our client survey
1–2 wksto a rapid evidence profile, our fastest format

Sources: Monash Evidence Review Service; Journal of Clinical Epidemiology, 2025.

Proven in use

Our reviews have shaped funding, policy and practice.

We have written reviews for government agencies, health bodies and policy schools across Australia. Here is a sample of the decisions they fed into.

Research fundingAustralian Government

Prioritising research funding for cardiovascular disease and diabetes in Australia

We combined the evidence with a national survey and three roundtables of experts and community representatives to rank which research topics mattered most.

OutcomePriorities set for an A$47 million Australian Government research investment.

Source · Monash Sustainable Development Institute ↗
Public policyANZSOG · 2024

Use of public opinion data to inform COVID-19 policymaking

How governments drew on public opinion data when setting pandemic policy, and what that means for handling the next crisis.

OutcomePublished by the Australia and New Zealand School of Government as a resource for public-sector leaders.

Source · ANZSOG ↗
Health practiceNSW Centre for Population Health · 2023

General practitioners raising and discussing sensitive health issues with patients

What helps GPs open — and keep going — the conversations that patients and clinicians both tend to avoid.

OutcomeCommissioned by NSW population health to inform how primary care is supported on sensitive topics.

Source · doi.org/10.57022/rseh3974 ↗
EducationBehaviourWorks Australia · 2023

What works to address concentrations of disadvantage in schools?

A synthesis of the policy options for schools where disadvantaged students are concentrated, with how strong the evidence is behind each option.

OutcomeOptions set out for education policy makers weighing enrolment, funding and support reforms.

Source · Monash Sustainable Development Institute ↗

We check our own impact

We asked our clients what happened next.

We ran a follow-up survey covering 19 of our rapid reviews delivered between 2021 and 2023, with 25 client responses, and published the results in a peer-reviewed journal.

Reached decision makers

The reports were read by the people making the call, not only the team that commissioned them.

Cited onward

Findings were cited in other documents across the client organisation.

Shaped decisions

The reviews contributed to strategic planning, policy and program funding decisions.

Bragge et al., “What happened next? A survey of review clients evaluating impacts of rapid reviews”, Journal of Clinical Epidemiology, 2025. Satisfaction with report structure and length was rated very high. Project summaries are drawn from the linked public sources.

Why commission a review

What a review from us is worth to you.

A review costs little next to a program, policy or restructure built on the wrong assumption. This is what you get for it.

01

Avoid expensive reversals

Put the budget behind options the evidence supports, and pilot the rest. Catching a weak assumption before sign-off costs a fraction of undoing it later.

02

Answers on your timeline

Rapid formats deliver in 1–2 or 4–6 weeks. We do the searching, screening and appraisal, so your team can keep doing its own work.

03

Stands up to scrutiny

Documented searches, stated inclusion rules, and confidence ratings with reasons, signed by a named reviewer. Ready for boards, auditors and ministers.

04

Built around your decision

We co-design the question with you, so the answer fits the decision in front of you rather than the topic in general.

05

Monash expertise on tap

We draw on Monash specialists in health, education, sustainability and behaviour change to interpret findings for your sector.

06

Honest about the limits

If the evidence is thin, we say so early and tell you what to measure instead. We will not dress up a guess as a finding.

Compared with the alternativesInternal desk scanTraditional systematic reviewOur service
Time to an answerDays, depth varies67 weeks on average¹1–2 weeks to 3+ months, matched to your deadline
Framed around your decisionOftenUsually a broad academic questionCo-designed with you
Documented, repeatable searchRarelyYesYes
Confidence rating with reasonsSeldomUsuallyAlways, in plain language
Weighs your data and stakeholdersInformallyRarely in scopeWhere the question needs it

¹ Mean time to complete and publish, from Borah et al., BMJ Open, 2017 (PROSPERO-registered reviews).

Beyond the literature

We weigh all four sources a sound decision needs.

Research alone rarely settles an organisational decision. Where your question calls for it, we set the published evidence alongside your own data, your practitioners' experience and your stakeholders' views, and name the weakness of each.

Scientific findings

What tends to happen, on average, across many organisations — and roughly by how much.

Watch forClear about organisations in general, quiet about yours.

Organisational data

Turnover, absence, incidents, throughput, and how survey answers have moved over time.

Watch forCaptures what is easy to count, not always what matters most.

Practitioner expertise

Judgement built by meeting the same problem many times and being corrected.

Watch forLeans on the memorable case, not the common one.

Stakeholder values

What the people affected will accept, resist, absorb or quietly work around.

Watch forThe loudest voice can stand in for everyone.

Why you can trust the answer

Every finding tells you how far to lean on it.

You learn what the evidence says and also how much weight it can take: act now, act while you measure, or pilot first. We screen thousands of records down to the few that can bear weight, and write down everything we set aside.

From thousands of records to a defensible answer

Screening
4,812records from 6 databases
3,190after duplicates removed
329full texts assessed
61studies included
9low risk of bias

The typical shape of a mid-sized review, for illustration.

What each rating means for you

Confidence
  • HighFurther research is unlikely to change the picture. Reasonable to commit.
  • ModerateThe direction is credible but the size may shift. Act, and measure as you go.
  • LowPlausible but far from settled. Pilot before you scale.
  • Very lowTreat it as an idea to test, not a basis for spending.
Each rating starts high and is lowered only for reasons written into the record:
Risk of biasInconsistencyIndirectnessImprecisionPublication bias

How we stay fast without cutting corners

AI does the heavy reading. Our reviewers make every call that matters.

Searching, de-duplicating, sorting thousands of abstracts and extracting figures is where reviews lose months. Supervised AI speeds those steps up, and every output is checked against the source. Deciding what the evidence means for you stays with a named person. Select a step to see who does what.

AI-assisted, checked Shared, disputes settled by a person Person decides

Auditable by default

You receive the searches, inclusion rules, every exclusion, the AI models and prompts used, and every reviewer override.

A person signs every rating

Models draft but never sign. A named reviewer sets each confidence rating and will explain it to your board.

Built to be challenged

Each conclusion states the strongest case against it, and what new information would change it.

Services

Pick the format that fits your deadline.

Timeframes are indicative. They depend on how much has been published, how tightly the question can be drawn, and how quickly your team can answer our questions.

Review formats

  1. Rapid evidence profile1–2 weeks

    A quick map of the existing reviews and key studies on your question, and what they broadly conclude. For decisions already on the agenda.

  2. Rapid desktop review4–6 weeks

    A focused synthesis with a documented search, quality appraisal and a confidence rating for each finding.

  3. Systematic or scoping review3 months+

    A full protocol, dual screening and quality assessment, for high-stakes questions or work you intend to publish.

  4. Evidence check on a business case1–2 weeks

    We test what the claims in your existing case actually rest on, before it goes up for approval.

  5. Review packages & capability buildingongoing

    Formats combined across a program of work, or training for your analysts until their ratings hold up without us.

Discuss a review

Tell us the decision you're facing.

Bring the decision, not a finished research question: scoping it with you is part of the service. The best time to talk is before the business case is signed. A first conversation is free, and if a review won't help, we'll tell you then.

Book a first conversation cong.ngo@monash.edu

Led by Dr Cong Ngo, Monash Evidence Review, who also builds the tools on this site. Enquiries go straight to him, not through an intake team.

You probably need a review if you can't yet answer

  1. What is actually known, as opposed to widely believed?A few remembered studies and what worked elsewhere are a starting point, not a basis for spending.
  2. How confident could anyone honestly be, and why?“The research supports it” is not a rating. A real rating names its studies and the reasons it was lowered.
  3. What would have to be true here for it to work?Findings don't transfer evenly between organisations. Knowing the conditions tells you what to put in place and what to monitor.