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# Using PozQoL:Calculating PozQoL Scores

## Calculating PozQoL Scores

Calculating PozQoL Scores is a 2-part process:

1. Code Items — Ensures that for all items, higher scores indicate higher quality of life (QoL)
2. Calculate the Scores — Produces scores for each QoL domain as well as a score for overall QoL

The PozQoL Team have also developed tools to do this for you.

Related resources:

### Part 1: Coding PozQoL Items

Coding is when you take your client’s responses to the PozQoL Scale and give them a number value that you can use for calculations.

When someone completes PozQoL, they indicate how strongly they agree with a statement on a scale from 1 (not at all) to 5 (extremely).

Some of the items indicate positive feelings — for example, “I am enjoying life”. Agreeing with this statement is an indication good quality of life. So, a response of 4 or 5 would indicate good quality of life.

Other items indicate negative feelings — for example, “I worry about my health”. Agreeing with this statement might indicate poor quality of life. So, a response of 4 or 5 would indicate a poor quality of life.

To calculate PozQoL Scores, we need to “code” responses in such a way that higher numbers always indicate better quality of life.

The following steps illustrate how this is done.

#### Code the positively worded items

Four (4) Items are positively worded. These are Items 1, 5, 8, and 13.

The coding for positively answered items is the same as the response numbers:

1. Not at all = 1
2. Slightly = 2
3. Moderately = 3
4. Very = 4
5. Extremely = 5

#### Code the negatively worded items

Nine (9) Items are negatively worded. These are Items 2, 3, 4, 6, 7, 9, 10, 11, and 12.

The coding for negatively answered items is the reverse of the response numbers:

1. Not at all = 5
2. Slightly = 4
3. Moderately = 3
4. Very = 2
5. Extremely = 1

### Part 2: Calculating the PozQoL Scores

PozQoL Scores can be calculated for overall quality of life (PozQoL Score), and for each domain (PozQoL Domain Scores).

The following table details which items are used to calculate each type of score.

Scores can be calculated either as an average or as a sum. Average scores are preferable, but summary scores are easier to calculate manually.

#### Calculating Average PozQoL and PozQoL Domain Scores

Average scores are preferred because they are valid even if some items are left blank. That said, we do not recommend calculating average scores for specific domains if more than one item from that domain is blank.

To calculate the PozQoL Score, find the average of the scores from all 13 items.

To calculate the PozQoL Domain Scores, find the average the scores of each domain’s items.

Scores can range from 1 to 5.

Remember, we do not recommend calculating average PozQoL Domain Scores if more than one item is left blank.

#### Calculating Summary PozQoL and PozQoL Domain Scores

Summary scores are easier to calculate when administering PozQoL as a pen-and-pencil copy in one-on-one consultations. However, summary scores are only valid if all items are answered.

Add the scores from all 13 items to find the overall quality of life score. Add the scores of each domain’s items to find the domain scores. Higher scores indicate better quality of life.

• PozQoL (overall quality of life) Score can range from 13 to 65.
• Psychological Domain Scores can range from 4 to 20.
• All other domain scores can range from 3 to 15.

Remember, summary scores are only meaningful when all of the relevant items have been answered.

### Example calculations

The following example uses the coded scores we worked out previously to calculate our example client’s PozQoL Scores.

Their coded PozQoL Scale is shown here. The colours indicate which item belongs to each domain.

Psychological Domain Items (blue) include Items 1, 5, 8, and 13.

Social Domain Items (red) include Items 3, 9, and 11.

Health Concerns Domain Items (green) include Items 2, 7, and 12.

Functional Domain Items (yellow) include Items 4, 6, and 10.

Because this client did not leave any items blank, we can use whichever method is easiest to for calculating their PozQoL Scores. Their PozQoL Scores are:

The information below shows in detail how these scores were calculated.

#### Calculating Domain Scores

##### Psychological Domain Scores

Using the same scores that we coded earlier, we see here that that the scores for the items in the Psychological Domain are 4, 5, 4, and 3.

The sum of these scores is 16 and the average is 4.

Therefore this client’s Psychological Domain Scores are:

Summary Score = 16
Average Score = 4.00

##### Social Domain Scores

The scores for the 3 items in the Social Domain are 5, 3, and 4.

The sum of these scores is 12 and the average is 4.

Therefore this client’s Social Domain Scores are:

Summary Score = 12
Average Score = 4.00

##### Health Concerns Domain Scores

The client’s scores for the items in the Health Concerns Domain are 3, 4, and 2.

The sum of these scores is 9 and the average is 3.00.

Therefore this client’s Health Concerns Domain Scores are:

Summary Score = 12
Average Score = 3.00

##### Functional Domain Scores

The client’s scores for the items in the Functional Domain are 3, 3, and 5.

The sum of these scores is 11 and the average is 3.67.

Therefore this client’s Functional Domain Scores are:

Summary Score = 11
Average Score = 3.67

#### Calculating the overall PozQoL Score

The sum of the scores for all 13 items is 48.

We obtain this from adding all 13 scores together.

The average of these scores is their sum (48) divided by the total number of items (13): 3.69.

Therefore this client’s overall PozQoL Score are:

Summary Score = 11
Average Score = 3.67

Header image by Ashraf Ali on Unsplash