| Literature DB >> 30349205 |
Muhammad Junaid Farrukh1, Mohd Makmor-Bakry1, Ernieda Hatah1, Hui Jan Tan2.
Abstract
PURPOSE: To identify the use pattern of complementary and alternative medicine (CAM) and its impact on antiepileptic drug (AED) adherence among patients with epilepsy.Entities:
Keywords: AED; CAM; complementary and alternative medicine; epilepsy; medication adherence; non-compliance; seizure
Year: 2018 PMID: 30349205 PMCID: PMC6188960 DOI: 10.2147/PPA.S179031
Source DB: PubMed Journal: Patient Prefer Adherence ISSN: 1177-889X Impact factor: 2.711
Criteria for inclusion and exclusion of studies in the review
| Population | Epilepsy patients aged 18 and above |
|---|---|
| Phenomenon of interest | The phenomenon of interest included |
| Primary outcome measure | The outcome measures of interest included but were not restricted to the following: |
| Types of studies | Quantitative cross-sectional surveys and qualitative studies. Studies were included if they reported one or more of the outcomes detailed above |
Abbreviations: CAM, complementary and alternative medicine; AED, antiepileptic drug.
Figure 1Flow diagram of searches and inclusion assessment of studies.
Abbreviation: CAM, complementary and alternative medicine.
Prevalence and types of CAM use
| No | Authors/type of study | Type of population | Country | Year | % of CAM usage | Types of CAM used | Mind and body practice | Natural products | Alternative/traditional medicine |
|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||
| 1. | Szabo | Epilepsy N=341 | USA | 2003 | 50% | The most helpful were stress reduction, yoga, and botanicals (herbs) | √ | √ | – |
| 2. | Al Asmi et al | Epilepsy N=101 | Oman | 2013 | 73.3% | Wearing (amulet) 73% Herbal 47% | √ | √ | – |
| 3. | Mcconnell et al | Epilepsy N=120 | USA | 2014 | 70% | Prayer/spirituality (31%), meditation (19%), vitamins (19%), and stressmanagement (16%) | √ | √ | – |
| 4. | Liow et al | Epilepsy N=228 | USA | 2007 | 25% | Prayer/spirituality (46%), vitamins (25%), chiropractic care (24%), and stress management (16%) | √ | √ | – |
| 5. | Easterford et al | Epilepsy N=400 | UK | 2005 | 34.6% | – | – | – | – |
| 6. | Kim et al | Epilepsy N=246 | Korea | 2006 | 31.3% | – | – | – | – |
| 7. | Tandon et al | Epilepsy N=1,000 | India | 2002 | 32% | Ayurvedic (43%) homeopathy (12.5%) | – | √ | √ |
| 8. | Kuan et al | Epilepsy N=403 | Taiwan | 2011 | 49.1% | Traditional Chinese medicine (51.5%) and temple worship (48.0%) | √ | – | √ |
| 9. | Sirven et al | Epilepsy N=425 | USA | 2003 | 44% | Stress reduction (68%), yoga (57%), and botanicals (55%) | √ | √ | – |
| 10. | Harms et al | Epilepsy N=?? | USA | 2006 | 23% | Ginkgo accounted for 61.9% among epilepsy patients | – | √ | – |
| 11. | Peebles et al | Epilepsy N=150 | USA (Columbus) | 2000 | 24% | Massage (50%) and herbs/supplements (41%) were used the most | √ | √ | – |
| 12. | Asadi-Pooya and Emami | Epilepsy N=158 | Iran | 2014 | 14.5% | Herbal drugs, traditional medicine and exercise | √ | √ | √ |
| 13. | Bhalerao et al | Epilepsy n=150 | India | 2013 | 7.7% | Ayurveda 46%, homeopathy 22%, yoga 22% | √ | – | √ |
| 14. | Naveen et al | Epilepsy N=300 | India | 2013 | 28.7% | Ayurveda (26.7%), yoga (25.6%) homeopathy (16.3%), folk medicine (29.1%) | √ | √ | √ |
| 15. | Razali and Yassin | Epilepsy N=60 | Malaysia | 2008 | 26.7% | Traditional healers (bomoh) and homeopathic practitioners | – | √ | √ |
| 16. | Pal et al | Epilepsy N=400 | India | 2008 | 7.5% | Faith healers, amulets, massage | √ | √ | – |
Note: – indicates that this category of CAM was not reported in the study.
Abbreviation: CAM, complementary and alternative medicine.
Prevalence of adherence and methods of assessment
| No | Authors/type of study | Type of population | Country | Year | Prevalence of non-adherence | Method of assessment |
|---|---|---|---|---|---|---|
|
| ||||||
| 1. | Chesaniuk et al | Epilepsy N=140 | USA | 2014 | 25% | Knobel brief adherence questionnaire |
| 2. | Sweileh et al | Epilepsy N=75 | Palestine | 2011 | 64% | MMAS |
| 3. | Hovinga et al | Epilepsy N=408 | USA | 2008 | 29% | – |
| 4. | Paschal et al | Epilepsy N=180 | USA | 2014 | 30% | Self-reported questionnaire |
| 5. | Chapman et al | Epilepsy N=438 | UK | 2014 | 37% | Epilepsy Self-Management Scale and MPR |
| 6. | Ferrari et al | Epilepsy N=385 | Brazil | 2013 | 66% | Morisky green scale |
| 7. | Jones et al | Epilepsy N=54 | UK | 2006 | 59% | MMAS-4 |
| 8. | Guo et al | Epilepsy N=184 | China | 2015 | 40% | MMAS-8 |
| 9. | Shallcross et al | Epilepsy N=55 | USA | 2015 | 36% | MMAS-8 |
| 10. | Smithson et al | Epilepsy N=438 | UK | 2013 | 30% | Self-reported questionnaire and MPR |
| 11. | Molugulu et al | Epilepsy N=272 | Malaysia | 2016 | 49% | Patient administered questionnaire |
| 12. | Nakhutina et al | Epilepsy N=72 | USA | 2011 | 63% | MMAS-4 |
| 13. | Zeber et al | Epilepsy N=6,373 | USA | 2010 | 48% | MPR |
Note: – indicates method of adherence assessment was not revealed in this study.
Abbreviations: MMAS, Morisky Medication Adherence Scale; MPR, medication possession ratio.
Factors associated with medication non-adherence
| No | Authors/type of study | Country | Patient-related factors (socio-economic, perceptions and beliefs) | Illness-related factors (severity of illness and frequency of symptoms) | Medication-related factors (number of daily doses, efficacy, and side effects), cost | Physician-related factors (patient-physician relationship) |
|---|---|---|---|---|---|---|
|
| ||||||
| 1. | Chesaniuk et al | USA | √ | – | – | – |
| Higher perceived epilepsy- related stigma | ||||||
| 2. | Jones et al | UK | – | √ | – | – |
| Poor seizure control | ||||||
| 3. | Sweileh et al | Palestine | √ | – | √ | – |
| Stress 41% | Missed dose 13% | |||||
| 4. | Hovinga et al | USA | √ | √ | √ | √ |
| Forgetfulness 72% | Poor seizure control | Cost 13% | ||||
| Side effects 9% | ||||||
| 5. | Paschal et al | USA | √ | – | √ | – |
| Forgetfulness 68% | ||||||
| 6. | Chapman et al | UK | √ | – | – | – |
| Negative perception of | ||||||
| AED (36.4%) | ||||||
| 7. | Ferrari et al | Brazil | √ | √ Worsening symptoms | √ | – |
| Forgetfulness (47.5%) | (9.0%) | Poly pharmacy 66%, | ||||
| Lack of time (39.2%) | ||||||
| 8. | Guo et al | China | √ | – | – | – |
| Depression, anxiety | ||||||
| 9. | Shallcross et al | USA | √ | – | – | – |
| Depression (21%) | ||||||
| 10. | Molugulu et al | Malaysia | √ | √ | √ | – |
| Patient understanding | Seizure frequency | |||||
| 11. | Nakhutina et al | USA | √ | – | – | – |
| Forgetfulness | ||||||
| beliefs about medicines | ||||||
| 12. | Zeber et al | USA | – | – | √ | – |
| Side effects | ||||||
| 13. | Durón et al | USA | √ | – | √ | – |
| Forgetfulness 13.2% | AED unavailability 48% | |||||
Note: – indicates that this category of factor was not reported in this study.
Abbreviation: AED, antiepileptic drug.
CAM usage and adherence among epilepsy patients
| No | Authors/type of study | Type of population | Country | Year | Prevalence of adherence | % of CAM usage | Types of CAM used | Mind and body practices | Natural products | Alternative/traditional medicine |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. | Durón et al | Epilepsy patient N=274 | Central America | 2009 | 55.8% | 51.5% | Prayer, herbs, potions and massage | √ | √ | √ |
Abbreviation: CAM, complementary and alternative medicine.
Figure 2Outlines AED non-adherence rates for thirteen studies.
Abbreviation: AED, antiepileptic drug.