Practical Approach to Measuring and Predicting Medication Adherence by Outpatient's SelfReport After More than 10 Years of Research in Psychopharmacology
Schizophrenia, bipolar disorder and major depression are associated with nonadherence registered mean figures of around 50%, highlighting the relevance of having simple adherence tools to incorporate into daily clinical practice. For 10 years we have focused on self-report as an assessment method and have studied thousands of outpatients taking thousands of psychiatric medications in three countries. Measurement of treatment adherence during use of polypharmacy is a really complex task as patients could adhere differently to the various medications prescribed, making it essential to assess adherence to each individual medication. This was not possible until the introduction of the Sidorkiewicz Adherence Tool that allows one to separate adherence to each medication, whether poor or not. Health psychologists have developed the Health Belief Model which has not received enough attention by psychiatrists. Based on this model, we have focused on personality styles and specific beliefs concerning specific medications as possible predictors of poor adherence. We developed the Patient Health Beliefs Questionnaire on Psychiatric Treatment which provides 5 self-reported personality dimensions: negative aspects of medication (pharmacophobia), positive aspects of medication (pharmacophilia), high/low psychological reactance, high/low doctor health locus of control (HLOC) and high/low internal HLOC. Based on the Beliefs about Medicines Questionnaire we have developed a measure of skepticism, defined as a patient's high concern about adverse reaction to an individual medication and a low belief in its necessity. Our research experience based on the tools for assessing and predicting adherence is presented in a practical manner by using seven boxes and examples. (Neuropsychopharmacol Hung 2021; 23(4): 336-346).
| Medienart: |
Artikel |
|---|
| Erscheinungsjahr: |
2021 |
|---|---|
| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
|---|---|
| Enthalten in: |
Neuropsychopharmacologia Hungarica : a Magyar Pszichofarmakologiai Egyesulet lapja = official journal of the Hungarian Association of Psychopharmacology - 23(2021), 4 vom: 01. Dez., Seite 336-346 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
De Las Cuevas, Carlos [VerfasserIn] |
|---|
| Themen: |
Attitude to health |
|---|
| Anmerkungen: |
Date Completed 04.01.2022 Date Revised 04.01.2022 published: Print Citation Status MEDLINE |
|---|
| Förderinstitution / Projekttitel: |
|
|---|
| PPN (Katalog-ID): |
NLM335067964 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM335067964 | ||
| 003 | DE-627 | ||
| 005 | 20231225225024.0 | ||
| 007 | tu | ||
| 008 | 231225s2021 xx ||||| 00| ||eng c | ||
| 028 | 5 | 2 | |a pubmed24n1116.xml |
| 035 | |a (DE-627)NLM335067964 | ||
| 035 | |a (NLM)34971305 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a De Las Cuevas, Carlos |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Practical Approach to Measuring and Predicting Medication Adherence by Outpatient's SelfReport After More than 10 Years of Research in Psychopharmacology |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a Date Completed 04.01.2022 | ||
| 500 | |a Date Revised 04.01.2022 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Schizophrenia, bipolar disorder and major depression are associated with nonadherence registered mean figures of around 50%, highlighting the relevance of having simple adherence tools to incorporate into daily clinical practice. For 10 years we have focused on self-report as an assessment method and have studied thousands of outpatients taking thousands of psychiatric medications in three countries. Measurement of treatment adherence during use of polypharmacy is a really complex task as patients could adhere differently to the various medications prescribed, making it essential to assess adherence to each individual medication. This was not possible until the introduction of the Sidorkiewicz Adherence Tool that allows one to separate adherence to each medication, whether poor or not. Health psychologists have developed the Health Belief Model which has not received enough attention by psychiatrists. Based on this model, we have focused on personality styles and specific beliefs concerning specific medications as possible predictors of poor adherence. We developed the Patient Health Beliefs Questionnaire on Psychiatric Treatment which provides 5 self-reported personality dimensions: negative aspects of medication (pharmacophobia), positive aspects of medication (pharmacophilia), high/low psychological reactance, high/low doctor health locus of control (HLOC) and high/low internal HLOC. Based on the Beliefs about Medicines Questionnaire we have developed a measure of skepticism, defined as a patient's high concern about adverse reaction to an individual medication and a low belief in its necessity. Our research experience based on the tools for assessing and predicting adherence is presented in a practical manner by using seven boxes and examples. (Neuropsychopharmacol Hung 2021; 23(4): 336-346) | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a attitude to health | |
| 650 | 4 | |a bipolar disorder | |
| 650 | 4 | |a depression, medication adherence | |
| 650 | 4 | |a health behavior | |
| 650 | 4 | |a psychopharmacology | |
| 650 | 4 | |a schizophrenia | |
| 700 | 1 | |a Lazary, Judit |e verfasserin |4 aut | |
| 700 | 1 | |a Poganyi, Laszlo |e verfasserin |4 aut | |
| 700 | 1 | |a De Leon, Jose |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Neuropsychopharmacologia Hungarica : a Magyar Pszichofarmakologiai Egyesulet lapja = official journal of the Hungarian Association of Psychopharmacology |d 2004 |g 23(2021), 4 vom: 01. Dez., Seite 336-346 |w (DE-627)NLM148164447 |x 1419-8711 |7 nnns |
| 773 | 1 | 8 | |g volume:23 |g year:2021 |g number:4 |g day:01 |g month:12 |g pages:336-346 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 23 |j 2021 |e 4 |b 01 |c 12 |h 336-346 | ||