Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Self-Discrepancy Theory

Self-Discrepancy Theory

One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.

Group Design

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...

One-Way ANOVA: Equal Sample Sizes

One-Way ANOVA: Equal Sample Sizes

One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...

Unusual Results

Unusual Results

Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value = μ + 2σ
Minimum unusual value...

Weighted Mean

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...

Ecological Niches

Ecological Niches

All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.Multiple species cannot occupy the exact same niche within their habitat. If the niches of two or more species overlap to a large extent, the competitive exclusion principle dictates that one species will outcompete the other, forcing it to...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Canadian Medical Assistance in Dying (MAID) and Access to Resources: An Analysis of Media Reports.

AJOB empirical bioethics·2026

Same author

The Patient Reported Inventory of Self-Management of Chronic Conditions (PRISM-CC): testing for bias across patient characteristics and languages.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026

Same author

Variations in Ovarian Cancer Survival Rates: Investigating Equity and Prognostic Factors Throughout Nova Scotia.

Cancer control : journal of the Moffitt Cancer Center·2025

Same author

Equal Opportunity and Luck: Empirical Exploration Using the Canadian Longitudinal Study on Aging.

Social indicators research·2025

Same author

Self-management difficulties in Swedish older adults and associations with sociodemographic factors, number of conditions, depression and health status.

Scandinavian journal of primary health care·2025

Same author

Creating an Inclusive Definition for High Users of Inpatient Hospital Systems That Considers Different Levels of Rurality.

International journal of environmental research and public health·2025

Search research articles

Related Experiment Video

Updated: Jun 21, 2026

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

Need-based resource allocation: different need indicators, different results?

George Kephart¹, Yukiko Asada

¹Department of Community Health and Epidemiology, Dalhousie University, Centre for Clinical Research, 5790 University Avenue, Halifax, Nova Scotia, B3H 1V7, Canada. george.kephart@dal.ca

BMC Health Services Research

|July 23, 2009

Summary

This summary is machine-generated.

Estimating healthcare needs across Canadian provinces reveals significant inconsistencies. The choice of indicators, such as demographics versus health status, impacts results, questioning the face validity of current resource allocation models.

Related Experiment Videos

Last Updated: Jun 21, 2026

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

Area of Science:

Health Services Research
Health Economics
Public Health Policy

Background:

Publicly financed healthcare systems aim to allocate resources based on need.
Need-based allocation models are commonly used, but a standard for selecting need indicators is lacking.
The choice of need indicators can significantly influence resource allocation estimates.

Purpose of the Study:

To assess the consistency and plausibility of per capita relative health service needs across Canadian provinces.
To compare estimates derived from different sets of need indicators.

Main Methods:

Utilized the 2000/2001 Canadian Community Health Survey data.
Estimated per capita need for general practitioner, specialist, and hospital services using two approaches: demographics only, and demographics plus socioeconomic and health status.
Compared provincial estimates with premature mortality rates to assess face validity.

Main Results:

Both approaches indicated variations in per capita health service needs across provinces.
Different indicator sets produced inconsistent and contradictory results.
Provincial needs estimates did not consistently align with premature mortality rates, highlighting potential face validity issues.

Conclusions:

Substantial differences in healthcare needs exist across Canadian provinces, but their direction and magnitude are indicator-dependent.
Resource allocation models using survey data may lack face validity in certain provinces.
Further research is needed to understand biases associated with survey data in resource allocation.