Health Literacy in Special Populations; Implications for Practice and Policy
Dr Laura J Sahm Senior Lecturer in Clinical Pharmacy, UCC.
Populations; Implications for Practice and Policy Dr Laura J Sahm - - PowerPoint PPT Presentation
Health Literacy in Special Populations; Implications for Practice and Policy Dr Laura J Sahm Senior Lecturer in Clinical Pharmacy, UCC. Overview Learning Objectives Background Aims Methods Results Conclusion Future
Dr Laura J Sahm Senior Lecturer in Clinical Pharmacy, UCC.
Age 18-25 58 26-30 101 31-35 159 36-40 77 >40 9 Ethnicity White-Irish 348 White- Other 53 Asian- Irish 1 Asian-Other 2 Level of education Secondary School 7 Junior Certificate 34 Leaving Certificate 78 Post Leaving Certificate 135 Degree 98 Postgraduate 52 Employment Professional 66 Managerial/Technical 90 Semi-Skilled 89 Skilled Manual 31 Non-Skilled 17 Health Professional 16 Student 9 Housewife/Homemaker 53 Unemployed 33 Literacy Non-case (REALM score 61-66) 342 Case (REALM score 61>) 62
Statement Strongly Agree Agree Don’t Know Disagree Strongly Disagree Most medicines are addictive 2.50 3.404 Natural remedies are safer than medicines 2.597 3.170 Medicines do more harm than good 3.702 3.097 All medicines are poisons 3.977 3.548 Doctors place too much trust in medicines 2.88 3.32
:Those with adequate HL :Those with limited HL
– 50% partial recovery – 25% chronic illness
– ‘Being able to live a meaningful and satisfying life, as defined by each person, in the presence or absence of symptoms’
schizophrenic patients on clozapine through a pharmacist intervention.
and a lower FKGL than the company–produced PIL.
knowledge regarding clozapine.
clozapine.
specified time interval to determine whether pharmacists’ intervention has improved their knowledge of clozapine.
literacy and patients understanding of clozapine.
Version 15 (SPSS, Chicago, Ill.) was used for data
and interpretation.
and mean values. Means are reported with standard deviation (SD) where appropriate. Bivariate analyses were conducted to determine any statistically significant relationships between varying parameters e.g. Age versus dose of clozapine. Pearson’s correlation coefficient is reported for parametric data and Spearman’s rho is used to describe correlations with non-parametric data.
describe the correlation between the scores obtained at first and second interviews.
Total n = 70 1st Interview n=49 Pilot n=5 Refused n=2 2nd Interview n=44 Lost to follow-up* n=5 Clinically unsuitable n=14
Study 2: Clozapine patients Flow diagram showing study population
FRES* FKGL Company-designed PIL 49.7 10.3** Pharmacist-designed PIL 62.0 8.1***
*The higher the score, the easier the document is to understand. **A FKGL of 10.3 equates to an approximate reading age
***A FKGL of 8.1 equates to an approximate reading age
Average Max Min Standard deviation Standard Error Mean Total score 1st interview (out of 13) 8.16 13 3 2.59 0.39 Total score 2nd interview (out of 13) 9.57 13 2 2.73 0.41 N Correlation Significance Pair 1 Score of 1st&2nd interview* 44 0.694 0.000**
Correlation and significance of the improvement in scores between the first and second interviews ** p< 0.001 * Score 1st = Score in first interview; Score 2nd = Score in second interview
– Ten days post discharge: Up to 25% partially non-adherent – 1 year: 50% non-adherent – 2 years: 75% non-adherent
benefits and side effects, how long to continue it)
experiences