Healthy People 2000 Steering Committee Retreat

Afternoon Plenary Session

Criteria for Measurability of Objectives

Each small group leader gave a short summary of his/her group. Edited versions of these summaries follow:

Criteria for Measurability of Objectives

The focus of discussion in the next session was the advantages of limiting the objectives to those that can be measured versus those that are actually being measured.

The advantage of using 'measurable' (versus 'measured') criteria are that more, and a broader range, of objectives can be included, "You could include all things that people thought were really important," and give flexibility in terms of how local entities use them. "There are different ways to get at the same objective. In one community they might decide to do it one way and in another community they might decide to do it another way."

A disadvantage of 'measurable' criteria is that if we put an objective up there, on the hope that it will be measured, the Federal agencies continue to feel like they are mandated to find a way to measure it. On the other hand, it can actually lead to the improvement of measurement systems.

As an aside, one member commented, "Sometimes because something is measurable, we think it's do-able. For instance, we can measure self-esteem, but we don't know really very much about how to increase it." Another replied that it's important to make broad statements about something that people and public health feel strongly about... "you don't want to lose out on addressing important issues that we don't have systems for or that we don't know how to measure." Another added that for some things we can't get comprehensive data, only data from sub-populations, such as for immunization. Having immunization as an objective serves an educational role, it makes a policy statement, holding specific groups accountable.

The advantage of limiting objectives to those that are already being measured by data systems, that you expect to be around for a while, is that you will be able to do this even in times of level or declining budgets. You don't need extra resources to make it happen and, further, you have good baseline data. The number of objectives will be lower and you restrict the number of sub-populations you can use.

One participant suggested having a measurability criterion that the higher and more political levels of the agencies would be held to as well as technical folks. It would allow us to measure progress. It increases the credibility of the objectives and the utility of the objectives for the health care delivery system. "It adds to the knowledge base. You can be sure that over time you will have learned something about how something is changing or not changing or in which direction, whereas if you start out and think you might get something in place and you can't do it... you end up saying, well, you know, I haven't learned anything. I don't know what to do about it and I don't know whether I've even possibly made an impact here or not." Another member added, "it's not just a matter of a baseline at a point in time, but you have some back data that give you historical trends so that you can tell whether or not even the changes that you are looking at are just secular trends or real changes." Another said, "You can more easily apply cost effectiveness analysis because you've at least got the effectiveness component of the equation in there."

If you have an objective that depends on a data system, it is going to encourage people to improve the data system because it's got an objective associated with it. If they're measured at the national level, that increases the likelihood that they will be at least measurable at the State and local level. At minimum there is a template and there may actually be data. It can help you generate objectives a little bit more creatively if you really start to mine the data that are already there.

One advantage of 'measured' is that the pinch of realizing that you can't put an objective in could lead to the creation of objectives which would be measurable and lead to questions about whether or not there were data systems in place.

Another woman replied, "Considering the kind of energy that has gone into attempts, multiple attempts to get data, I want to throw out one possible advantage... if you limit yourselves to objectives that you know can be measured, the energy of the Federal agencies can go into trying to achieve progress on those objectives rather than trying to find data for those objectives. So ... that's a different way to look at it."

In summary, the participants felt that the advantage of including 'measured' criteria is that it motivates the building as well as the improving of data systems. Many people were comfortable with the idea that there would be at least some objectives that would speak to the development of data systems to collect information on things we can't collect now.

Making sure that you have objectives for which there are data means that you have data today. It means that you're likely to set more realistic targets for where you want to go because you actually know where you are today.

Another comment was a caution not to assume that we will have the data for problems that don't exist yet. In 1980, it was not even known that there was a such a thing as HIV, let alone what kind of impact it was going to have or how they could measure it. In thinking about HIV, another comment was, "requiring that the objective be measured may lead to advocacy on the part of external interest groups for improved measurement... as opposed to just putting the objective in.

One man said, "the advantage is that [requiring the objectives to be measured] follows the philosophy of the whole process. Management by objective calls for rules and measurable objectives. And that's the philosophy of the whole system, the theoretical background for this process. Now, I think one of the things that maybe we deluded ourselves in was in having only three goals. In a sense we're talking about leaving certain things out because we don't have measures. We could have had more goals or some sub-goals. For example, a major goal or policy issue in HIV is to reduce the incidence of HIV. That can be a goal. One goal might be reduced HIV infection. Well, we can't measure that! So you have an objective about what can be measured. The things that you can't measure can be stated more broadly in terms of policy wishes as a goal which you have no intention of measuring because you can't measure it. We would set up a system with a few more goals and some sub-goals and then still keep true objectives as measurable."

The moderator, speaking to one of the participants, said "you used the term 'policy statements' earlier. Is that what you mean? That you can make a distinction between goal statements that do not have these stringent measurement criteria around them versus objective statements that do have these stringent measurement criteria around them. And that's one definition of what an objective is... that it's one or multiple ways to operationalize and measure a goal."

There followed a brief conversation about serving the needs of the States and about using new technology. It was suggested that new technology would allow a system in which there can be, in a sense, multiple alternative frameworks and architectures that someone can essentially design for themselves, if the data base is structured appropriately. One could search on age, on place, on risk factor, on population, disease, and on anything else. Many participants of the Retreat talked about the fact that the structure and the dissemination, especially, of Healthy People 2010 should take full advantage of the fact that our communications technology has changed dramatically.

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