| Literature DB >> 28546876 |
Leanne McDonald1, Fiona C Glen1, Deanna J Taylor1, David P Crabb1.
Abstract
Purpose. Glaucoma patients annually spend only a few hours in an eye clinic but spend more than 5000 waking hours engaged in everything else. We propose that patients could self-monitor changes in visual symptoms providing valuable between clinic information; we test the hypothesis that this is feasible using a web-based diary tool. Methods. Ten glaucoma patients with a range of visual field loss took part in an eight-week pilot study. After completing a series of baseline tests, volunteers were prompted to monitor symptoms every three days and complete a diary about their vision during daily life using a bespoke web-based diary tool. Response to an end of a study questionnaire about the usefulness of the exercise was a main outcome measure. Results. Eight of the 10 patients rated the monitoring scheme to be "valuable" or "very valuable." Completion rate to items was excellent (96%). Themes from a qualitative synthesis of the diary entries related to behavioural aspects of glaucoma. One patient concluded that a constant focus on monitoring symptoms led to negative feelings. Conclusions. A web-based diary tool for monitoring self-reported glaucoma symptoms is practically feasible. The tool must be carefully designed to ensure participants are benefitting, and it is not increasing anxiety.Entities:
Year: 2017 PMID: 28546876 PMCID: PMC5435987 DOI: 10.1155/2017/8452840
Source DB: PubMed Journal: J Ophthalmol ISSN: 2090-004X Impact factor: 1.909
Figure 1A screenshot of the web-based diary tool used by the participants. The page is split into “to be completed” and “completed” tasks.
Figure 2Study evaluation questions given to the participants at the end of the study.
| Extr. | Agre. | Consc. | Emo stab. | Open. | |
|---|---|---|---|---|---|
| Population mean | 9.11 | 10.12 | 10.44 | 9.05 | 10.11 |
| M1 | 8 |
|
| 6 | 10 |
| M2 | 5 | 8 | 9 | 9 |
|
| M3 |
| 8 | 10 | 7 | 8 |
| M4 | 8 | 3 | 7 |
| 9 |
| M6 |
|
|
| 7 |
|
| F1 | 7 | 8 |
| 7 |
|
| F2 | 8 | 8 |
|
| 9 |
| F3 |
|
|
| 7 | 6 |
| F4 |
| 9 | 6 |
| 6 |
| F5 | 8 | 10 | 8 | 4 | 10 |
The table demonstrates the raw Ten-Item Personality Inventory data for the study sample. Scores from left to right: extraversion, agreeableness, conscientiousness, emotional stability, and openness. Items in italic denote that the score is above reference population mean [16].
A summary of patients' vision and baseline data.
| Years since diagnosis | Binocular visual acuity (LogMAR) | Binocular contrast sensitivity | Best eye HFA mean deviation (dB) | EQ-5D general health | |
|---|---|---|---|---|---|
| M1 | 21 | −0.2 | 1.95 | −13.7 | 11111 |
| M2 | 5 | 0 | 1.5 | −7.9 | 11111 |
| M3 | 26 | −0.02 | 1.65 | −5.5 | 11211 |
| M4 | 23 | −0.1 | 0.9 | −17.4 | 21111 |
| M6 | 25 | 0 | 1.95 | −11.4 | 11111 |
| F1 | 29 | −0.1 | 1.2 | −9.2 | 11111 |
| F2 | 11 | −0.1 | 1.35 | −19.4 | 11211 |
| F3 | 6 | 0 | 1.95 | −2.2 | 11121 |
| F4 | 15 | 0.1 | 1.35 | −13.6 | 21211 |
| F5 | 15 | 0 | 1.35 | −9.0 | 11221 |
Figure 3Shows results from 10 participants ordered according to the severity of binocular visual field loss. From left to right: face indicates self-response to review question about the value of the self-monitoring exercise; time series plot shows a composite visual symptom score recorded over a study period of 8 weeks. Binocular visual field is shown as grey scale of integrated visual field [5]. Individual bar chart indicates response to Big Five Inventory (BFI) personality questionnaire (E: extraversion, A: agreeableness, C: conscientiousness, ES: emotional stability, and O: openness). Red bars indicate that trait is significantly different from a reference population. For example, volunteer M6 had four significant personality traits.