| Literature DB >> 27507946 |
Kim Notenboom1, Herman Vromans2, Maarten Schipper3, Hubert G M Leufkens4, Marcel L Bouvy5.
Abstract
BACKGROUND: Practical problems with the use of medicines, such as difficulties with breaking tablets, are an often overlooked cause for non-adherence. Tablets frequently break in uneven parts and loss of product can occur due to crumbling and powdering. Health characteristics, such as the presence of peripheral neuropathy, decreased grip strength and manual dexterity, can affect a patient's ability to break tablets. As these impairments are associated with aging and age-related diseases, such as Parkinson's disease and arthritis, difficulties with breaking tablets could be more prevalent among older adults. The objective of this study was to investigate the relationship between age and the ability to break scored tablets.Entities:
Keywords: age; comparative study; older adults; score line; tablet breaking
Year: 2016 PMID: 27507946 PMCID: PMC4960263 DOI: 10.3389/fphar.2016.00222
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Figure 1The three methods used in the study for breaking scored tablets by hand.
Characteristics of the participants.
| Mean [SD] age, years | 84.2 [6.8] | 24.8 [1.8] |
| Women | 69.4% (25) | 80.1% (29) |
| Experienced with breaking tablets | 22.2% (8) | 0% (0) |
The information in this table is presented as % (n) unless otherwise indicated.
Figure 2The results for ability and accuracy of breaking, for tablets A1-D3 individually. The percentage of tablets broken by the older and young participants (A), and the percentage of accurately broken tablets, of those that were broken (B).
Figure 3Proportion of tablets that is broken by the older participants by the three methods of breaking. M1 = Breaking in between the fingers, with the use of nails. M2 = Breaking in between the fingers, without the use of nails. M3 = Breaking by pushing the tablet downward with one finger one a solid surface.
Odds ratios (ORs) and model characteristics for the ability of breaking.
| Model 1: Random effect for participant; fixed effect for age | 7.23 (4.76;11.17) | <0.001 | – | – | 2920.5 |
| Model 2: Model 1 + fixed effect for gender | 7.93 (5.44;11.78) | <0.001 | 2.5 (1.62;3.85) | <0.001 | 2907.01 |
| Model 3: Model 1 + fixed effects for gender and method of breaking | 8.64 (5.83;13.05) | <0.001 | 2.59 (1.65;4.07) | <0.001 | 2823.41 |
| Model 4: Model 1 + fixed effects for gender and tablet | 19.38 (11.31;34.12) | <0.001 | 3.59 (1.96;6.57) | <0.001 | 2213.05 |
| Model 5: Model 1 + fixed effects for gender, method of breaking and tablet | 24.22 (13.56;44.76) | <0.001 | 3.95 (2.06;7.57) | <0.001 | 2090.54 |
| Model 6: Model 5 + interaction between method of breaking and tablet | 50.56 (25.02;108.03) | <0.001 | 4.99 (2.28;10.9) | <0.001 | 1809.76 |
CI, confidence interval; OR, odds ratio; AIC, aikake information criterion.
Odds ratios (ORs) and model characteristics for the accuracy of breaking.
| Model 1: Random effect for participant; fixed effect for age | 1.45 (1.06;1.97) | 0.015 | – | – | 1676.77 |
| Model 2: Model 1 + fixed effect for gender | 1.31 (0.97;1.76) | 0.074 | 0.65 (0.48;0.87) | 0.005 | 1671.54 |
| Model 3: Model 1 + fixed effects for gender and method of breaking | 1.35 (1;1.82) | 0.044 | 0.65 (0.48;0.88) | 0.005 | 1668.2 |
| Model 4: Model 1 + fixed effects for gender and tablet | 1.1 (0.76;1.57) | 0.605 | 0.52 (0.35;0.75) | 0.001 | 1368.25 |
| Model 5: Model 1 + fixed effects for gender, method of breaking and tablet | 1.13 (0.79;1.61) | 0.515 | 0.52 (0.35;0.75) | 0.001 | 1368.99 |
| Model 6: Model 5 + interaction between method of breaking and tablet | 1.19 (0.81;1.75) | 0.364 | 0.51 (0.34;0.77) | 0.001 | 1315.94 |
CI, confidence interval; OR, odds ratio; AIC, aikake information criterion.