BACKGROUND: Quality of life is paramount for patients and clinicians, but existing measures of health were not developed for routine use. OBJECTIVES: This paper describes the development and testing of a new generic tool for measuring health related quality of life (HRQoL) with direct comparison to the SF-12 Health Survey. METHODS: The new tool (howRu) has four items (discomfort, distress, disability and dependence), rated using four levels (none, a little, quite a lot and extreme), providing 256 possible states (4(4)); it has an aggregate scoring scheme with a range from 0 (worst) to 12 (best). Psychometric properties were examined in a telephone survey, which also recorded SF-12. RESULTS: The howRu script is shorter than SF-12 (45 words vs 294 words) and has better readability statistics. 2751 subjects, all with long-term conditions (average age 62, female 62.8%), completed the survey; 21.7% were at the ceiling (no reported problems on any dimension); 0.9% at the floor. Inter-item correlations, Cronbach's alpha and principal factor analysis suggest that a single summary score is appropriate. Correlations between the physical and mental components of both howRu and SF-12 were as expected. Across all patients the howRu score was correlated with PCS-12 (r=0.74), MCS-12 (r=0.49) and the sum of PCS-12 and MCS-12 (r=0.81). Subjects were classified by howRu score, primary condition, the number of conditions suffered, age group, duration of illness and area of residence. Across all six classifications, the correlation of the mean howRu score with the mean PCS-12 for each class was r=0.91, with MCS-12, r=0.45 and with the sum of PCS-12 and MCS-12, r=0.97. CONCLUSIONS: howRu is a new short generic measure of HRQoL, with good psychometric properties. It generates similar aggregate results to SF-12. It could provide a quick and easy way for practitioners to monitor the health of patients with long-term conditions.
BACKGROUND: Quality of life is paramount for patients and clinicians, but existing measures of health were not developed for routine use. OBJECTIVES: This paper describes the development and testing of a new generic tool for measuring health related quality of life (HRQoL) with direct comparison to the SF-12 Health Survey. METHODS: The new tool (howRu) has four items (discomfort, distress, disability and dependence), rated using four levels (none, a little, quite a lot and extreme), providing 256 possible states (4(4)); it has an aggregate scoring scheme with a range from 0 (worst) to 12 (best). Psychometric properties were examined in a telephone survey, which also recorded SF-12. RESULTS: The howRu script is shorter than SF-12 (45 words vs 294 words) and has better readability statistics. 2751 subjects, all with long-term conditions (average age 62, female 62.8%), completed the survey; 21.7% were at the ceiling (no reported problems on any dimension); 0.9% at the floor. Inter-item correlations, Cronbach's alpha and principal factor analysis suggest that a single summary score is appropriate. Correlations between the physical and mental components of both howRu and SF-12 were as expected. Across all patients the howRu score was correlated with PCS-12 (r=0.74), MCS-12 (r=0.49) and the sum of PCS-12 and MCS-12 (r=0.81). Subjects were classified by howRu score, primary condition, the number of conditions suffered, age group, duration of illness and area of residence. Across all six classifications, the correlation of the mean howRu score with the mean PCS-12 for each class was r=0.91, with MCS-12, r=0.45 and with the sum of PCS-12 and MCS-12, r=0.97. CONCLUSIONS: howRu is a new short generic measure of HRQoL, with good psychometric properties. It generates similar aggregate results to SF-12. It could provide a quick and easy way for practitioners to monitor the health of patients with long-term conditions.
Authors: Louis A Penner; John F Dovidio; Nao Hagiwara; Tanina Foster; Terrance L Albrecht; Robert A Chapman; Susan Eggly Journal: J Health Care Poor Underserved Date: 2016
Authors: Steven H Hendriks; Jojanneke Rutgers; Peter R van Dijk; Klaas H Groenier; Henk J G Bilo; Nanne Kleefstra; Janwillem W H Kocks; Kornelis J J van Hateren; Marco H Blanker Journal: BMC Health Serv Res Date: 2015-10-02 Impact factor: 2.655
Authors: Susan Eggly; Lauren M Hamel; Elisabeth Heath; Mark A Manning; Terrance L Albrecht; Ellen Barton; Mark Wojda; Tanina Foster; Michael Carducci; Dina Lansey; Ting Wang; Rehab Abdallah; Narineh Abrahamian; Seongho Kim; Nicole Senft; Louis A Penner Journal: BMC Cancer Date: 2017-12-02 Impact factor: 4.430