Outcomes measured in the study articles
Study context | Outcome measure | Articles | Findings | Numeric results | Direction |
HTA | Total cost of new interventions | Barlow et al24 | Costs decrease compared with not using HTA | 8%–50% lower costs of new treatments depending on the parameter values in the simulation model. | Positive |
Guthrie31 | Potential cost savings in 2/12 case studies | Not reported | Mixed | ||
Total healthcare spending | Löblova (review)35 | Some studies report cost savings, some cost increases | One study found projected annual savings between $16 and $27 million | Mixed | |
Usage of new medicine/treatment | Corbacho et al26 | Usage of medicine with positive evaluation increases but does not decrease for negative evaluations | Large increase compared with when medicine is not recommended (5–134×) depending on country | Negative | |
Bennie et al33 | The pattern of use was variable, with the use of some medicines stabilising or declining but others increasing | Before and after total cost for 10 medicines | Mixed | ||
Zechmeister and Schumacher34 | HTA for new treatments did not always impact microlevel decision-making. HTA for old treatments reduced spending when used for disinvestment. Some HTA had no effect. |
| Mixed | ||
Inequality index (opportunity cost) | Love-Koh et al27 | Some interventions decreased inequality, some increased it, and some even decreased population health | Net health benefit ranged from −10 919 to 62 745 Slope index of inequality reduction ranged from 5.5 to –8.5 | Mixed | |
Opportunity cost | Change in total costs | Wammes et al25 | Increased costs | Not reported | Negative |
Displacement of services | Wammes et al25 | No displacement | Not reported | Negative | |
Karlsberg Schaffer et al29 | No displacement linkable to new treatments | Not reported | Negative | ||
Increased efficiency | Wammes et al25 | Efficiency measures taken | Not reported | Positive | |
Karlsberg Schaffer et al29 | Efficiency savings obtained (due to all kinds of cost pressures) | Not reported | Positive | ||
Service coverage versus cost coverage | van der Wees et al30 | No direct relationship between breadth of service coverage and level of public spending on healthcare | Not applicable | Mixed | |
Disinvestment programmes | Cost savings | Peng Lim et al28 | Savings achieved | A reduction of up to 50% in the target technology (for one technology only small reduction) | Positive |
Polisena et al (review)37 | Potential savings identified by 10/14 studies | $C23 110 (US$18 484 in 2012) to $A50 600 000 | Mixed | ||
Use of the low-value interventions | Chambers et al (review)36 | The use of 38% of low-value services in the studies declined | Not reported | Mixed | |
PBMA | Changes in budget allocations | Cornelissen et al10 | Potential investments and disinvestments identified; however, no clear evidence whether financial resources were reallocated as a result | List of $760 000 worth of investment proposals and $38 000 of disinvestment proposals | Negative |
Changes in service use | Goodwin and Frew32 | Elective and non-elective admissions and visits decreased more than national average | Elective admissions −17% Elective day care +3.3% Elective total admissions −2% Non-elective admissions −12% First outpatient attendances −3 % | Positive |
HTA, health technology assessment; PBMA, programme budgeting and marginal analysis.