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Kaur R, Sidana A, Malhotra N, Tyagi S. Oral versus long-acting injectable antipsychotic in first episode schizophrenia: A 12 weeks interventional study. Indian J Psychiatry 2023; 65:404-411. [PMID: 37325092 PMCID: PMC10263095 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_389_22] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 12/29/2022] [Accepted: 02/22/2023] [Indexed: 06/17/2023] Open
Abstract
Background There is underutilization of long-acting injectable (LAI) antipsychotics for first-episode schizophrenia (FES) despite having convenient dosing and treatment retention. LAIs are predominantly used for patients with poor compliance, chronic course, and multiple relapses. Materials and Methods Seventy-two treatment naïve patients with the first episode of Schizophrenia (DSM-5) were assessed for baseline severity of psychopathology using the positive and negative syndrome scale (PANSS) and quality of life (QOL) using the WHOQOL-BREF scale. Patients were randomized to receive either oral haloperidol or LAI haloperidol for a period of 12 weeks. Results Both the groups had a significant reduction in PANSS scores and improvement in QoL over 12 weeks period (P = 0.0001). The LAI group showed greater adherence and significantly better quality of life than the oral group (P = 0.023). The mean numbers of side effects were less in the LAI group at week 2 as compared to the oral group. Conclusion LAI haloperidol is similar to oral haloperidol in patients with FES with respect to treatment response and offers benefits in form of a lesser number of side effects during early treatment, overall better adherence rates, and better QOL.
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Affiliation(s)
- Ramandeep Kaur
- Department of Psychiatry, Government Medical College and Hospital, Chandigarh, India
| | - Ajeet Sidana
- Department of Psychiatry, Government Medical College and Hospital, Chandigarh, India
| | - Nidhi Malhotra
- Department of Psychiatry, Government Medical College and Hospital, Chandigarh, India
| | - Shikha Tyagi
- Department of Psychiatry, Government Medical College and Hospital, Chandigarh, India
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2
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Mi WF, Chen XM, Fan TT, Tabarak S, Xiao JB, Cao YZ, Li XY, Bao YP, Han Y, Li LZ, Shi Y, Guo LH, Wang XZ, Liu YQ, Wang ZM, Chen JX, Wu FC, Ma WB, Li HF, Xiao WD, Liu FH, Xie W, Zhang HY, Lu L. Identifying Modifiable Risk Factors for Relapse in Patients With Schizophrenia in China. Front Psychiatry 2020; 11:574763. [PMID: 33061925 PMCID: PMC7518216 DOI: 10.3389/fpsyt.2020.574763] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 08/24/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Preventing relapse of schizophrenic patients is really a challenge. The present study sought to provide more explicit evidence and factors of different grades and weights by a series of step-by-step analysis through χ2 test, logistic regression analysis and decision-tree model. The results of this study may contribute to controlling relapse of schizophrenic patients. METHODS A total of 1,487 schizophrenia patients were included who were 18-65 years of age and discharged from 10 hospitals in China from January 2009 to August 2009 and from September 2011 to February 2012 with improvements or recovery of treatment effect. We used a questionnaire to collect information about relapse and correlative factors during one year after discharge by medical record collection and telephone interview. The χ2 test and logistic regression analysis were used to identify risk factors and high-risk factors firstly, and then a decision-tree model was used to find predictive factors. RESULTS The χ2 test found nine risk factors which were associated with relapse. Logistic regression analysis also showed four high-risk factors further (medication adherence, occupational status, ability of daily living, payment method of medical costs). At last, a decision-tree model revealed four predictors of relapse; it showed that medication adherence was the first grade and the most powerful predictor of relapse (relapse rate for adherence vs. nonadherence: 22.9 vs. 55.7%, χ2 = 116.36, p < 0.001). The second grade factor was occupational status (employment vs. unemployment: 19.7 vs. 42.7%, χ2 = 17.72, p < 0.001); the third grade factors were ability of daily living (normal vs. difficult: 28.4 vs. 54.3%, χ2 = 8.61, p = 0.010) and household income (household income ≥ 3000 RMB vs. <3000 RMB: 28.6 vs. 42.4%, χ2 = 6.30, p = 0.036). The overall positive predictive value (PPV) of the logistic regression was 0.740, and the decision-tree model was 0.726. Both models were reliable. CONCLUSIONS For schizophrenic patients discharged from hospital, who had good medication adherence, more higher household income, be employed and normal ability of daily living, would be less likely to relapse. Decision tree provides a new path for doctors to find the schizophrenic inpatient's relapse risk and give them reasonable treatment suggestions after discharge.
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Affiliation(s)
- Wei-Feng Mi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xiao-Min Chen
- Department of Psychiatry, Affiliated Psychological Hospital of Anhui Medical University, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, China
| | - Teng-Teng Fan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Serik Tabarak
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Jing-Bo Xiao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yong-Zhi Cao
- Key Laboratory of High Confidence Software Technologies (MOE), Department of Computer Science and Technology, Peking University, Beijing, China
| | - Xiao-Yu Li
- Key Laboratory of High Confidence Software Technologies (MOE), Department of Computer Science and Technology, Peking University, Beijing, China
| | - Yan-Ping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Ying Han
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.,Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Ling-Zhi Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Ying Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Li-Hua Guo
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xiao-Zhi Wang
- Department of Psychiatry, The Fourth People's Hospital of Dalian Jinzhou District, Dalian, China
| | - Yong-Qiao Liu
- Department of Psychiatry, The Sixth People's Hospital of Hebei Province, Baoding, China
| | - Zhan-Min Wang
- Department of Psychiatry, Rongjun Hospital of Hebei Province, Baoding, China
| | - Jing-Xu Chen
- Department of Psychiatry, Beijing HuiLongGuan Hospital, Beijing, China
| | - Feng-Chun Wu
- Department of Psychiatry, Guangzhou Psychiatric Hospital, Guangzhou, China
| | - Wen-Bin Ma
- Department of Psychiatry, Jinzhou Kangning Hospital, Jinzhou, China
| | - Hua-Fang Li
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai, China
| | - Wei-Dong Xiao
- Department of Psychiatry, The People's Hospital of Hubei Province, Wuhan, China
| | - Fei-Hu Liu
- Department of Psychiatry, The Mental Health Center of Xi'an, Xi'an, China
| | - Wen Xie
- Department of Psychiatry, Affiliated Psychological Hospital of Anhui Medical University, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, China
| | - Hong-Yan Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.,Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.,National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.,Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
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3
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Boumba VA, Petrikis P, Patteet L, Baou M, Rallis G, Metsios A, Karampas A, Maudens K, Mavreas V. A Pilot Study of Plasma Antipsychotic Drugs Concentrations of First Episode Patients with Psychosis From Epirus - Greece. ACTA ACUST UNITED AC 2019. [DOI: 10.2174/1573412914666180611110805] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
This contribution is a study on plasma antipsychotics concentrations
of first episode outpatients with psychosis (FEPs), under antipsychotic treatment; it aims to
attract attention to the importance of the drug-driven management of psychiatric patients for
improving adherence and clinical efficacy.
Methods:
The plasma antipsychotic concentrations were determined retrospectively (after the
completion of selection of all samples) and therefore, they were not used to monitor patients’
response to pharmacotherapy. A total of 120 plasma samples from 35 psychiatric patients
were collected and tested for antipsychotics. The concentrations of eight antipsychotic drugs
(amisulpride, aripiprazole, clozapine, haloperidol, olanzapine, quetiapine, risperidone and
paliperidone) and seven of their metabolites were determined.
Results:
Overall, 74% of the samples had therapeutic antipsychotic levels, 19% had subtherapeutic
concentrations, while supra-therapeutic concentrations were measured for clozapine
(7%). Therapeutic drug concentrations were recorded in 54% of plasma samples from patients
being under olanzapine medication and in all patients under long-acting injectables.
Sub-therapeutic levels were either attributed to non-adherence, or they reflected residual levels
due to medication changes. Supra-therapeutic levels were recorded for clozapine and were
not followed by adverse effects.
Conclusion:
This is the first study on antipsychotic plasma levels conducted in Greece. Our
results show the importance of performing measurement of plasma antipsychotics levels, at
appropriate time intervals, for improving adherence, clinical decision making and thus clinical
efficacy. Especially for FEPs, such approach could contribute to early detection of treatment
limitations and improve outcome.
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Affiliation(s)
- Vassiliki A. Boumba
- Laboratory of Forensic Medicine and Toxicology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Petros Petrikis
- Psychiatry Clinic, University Hospital of Ioannina, University of Ioannina, Ioannina, Greece
| | - Lisbeth Patteet
- Toxicological Centre, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium
| | - Maria Baou
- Laboratory of Forensic Medicine and Toxicology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Georgios Rallis
- Laboratory of Forensic Medicine and Toxicology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Apostolos Metsios
- Laboratory of Forensic Medicine and Toxicology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Andreas Karampas
- Psychiatry Clinic, University Hospital of Ioannina, University of Ioannina, Ioannina, Greece
| | - Kristof Maudens
- Toxicological Centre, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium
| | - Venetsanos Mavreas
- Psychiatry Clinic, University Hospital of Ioannina, University of Ioannina, Ioannina, Greece
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Geretsegger C, Pichler EM, Gimpl K, Aichhorn W, Stelzig R, Grabher-Stoeffler G, Hiemke C, Zernig G. Non-adherence to psychotropic medication assessed by plasma level in newly admitted psychiatric patients: Prevalence before acute admission. Psychiatry Clin Neurosci 2019; 73:175-178. [PMID: 30552718 DOI: 10.1111/pcn.12809] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 12/06/2018] [Accepted: 12/12/2018] [Indexed: 01/01/2023]
Abstract
AIMS Non-adherence or partial adherence to psychotropic medication is found in 18-70% of patients. Many previously used methods for the assessment of adherence (e.g. questionnaires, pill counts, and electronic systems), however, might underreport actual rates of non-adherence to medication. The aim of this study was to quantify adherence using plasma level. METHODS We conducted a 6-week prospective study of all consecutive admitted patients at the Paracelsus Medical University of Salzburg, Clinics of Psychiatry and Psychotherapy, who had been treated with antipsychotics/antidepressants prior to admission (pre-medication dosage in 161 of 233). Plasma drug levels were determined and compared with expected levels based on known preadmission dosing regimens and average pharmacokinetic data. RESULTS Seventy-three percent of the patients had actual plasma levels clearly below or above the intended level. Significantly more patients with schizophrenia (66%) did not take the medication as prescribed, when compared with patients with affective disorders (47%) or those with other psychiatric diagnoses (41%). Only 27% (44 of 161) of the patients had plasma level in the expected range based on the dosage. CONCLUSION The risk of partial adherence or non-adherence is expected in two-thirds of patients with schizophrenia, half of patients with affective disorders, and approximately 40% of patients with other psychiatric diagnoses. Given that admitting psychiatrists could not provide an accurate assessment of patient adherence, it is strongly suggested that clinical judgment be supplemented with the actual monitoring of adherence - and further optimization of pharmacotherapy - by means of therapeutic drug monitoring.
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Affiliation(s)
- Christian Geretsegger
- University Clinics of Psychiatry and Psychotherapy, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Eva-Maria Pichler
- University Clinics of Psychiatry and Psychotherapy, Paracelsus Medical University Salzburg, Salzburg, Austria.,Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Zurich, Switzerland
| | - Kathrin Gimpl
- University Clinics of Psychiatry and Psychotherapy, Paracelsus Medical University Salzburg, Salzburg, Austria.,Division of experimental Psychiatry and Psychotherapy, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University Innsbruck, Innsbruck, Austria
| | - Wolfgang Aichhorn
- University Clinics of Psychiatry and Psychotherapy, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Renate Stelzig
- University Clinics of Psychiatry and Psychotherapy, Paracelsus Medical University Salzburg, Salzburg, Austria
| | | | - Christoph Hiemke
- Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Gerald Zernig
- Division of experimental Psychiatry and Psychotherapy, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University Innsbruck, Innsbruck, Austria
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5
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Karpov B, Joffe G, Aaltonen K, Oksanen J, Suominen K, Melartin T, Baryshnikov I, Koivisto M, Heikkinen M, Isometsä ET. Self-reported treatment adherence among psychiatric in- and outpatients. Nord J Psychiatry 2018; 72:526-533. [PMID: 30444157 DOI: 10.1080/08039488.2018.1538387] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Poor adherence to psychiatric treatment is a common clinical problem, leading to unfavourable treatment outcome and increased healthcare costs. AIM The aim of this study was to investigate the self-reported adherence and attitudes to outpatient visits and pharmacotherapy in specialized care psychiatric patients. METHODS Within the Helsinki University Psychiatric Consortium (HUPC) pilot study, in- and outpatients with schizophrenia or schizoaffective disorder (SSA, n = 113), bipolar disorder (BD, n = 99), or depressive disorder (DD, n = 188) were surveyed about their adherence and attitudes towards outpatient visits and pharmacotherapy. Correlates of self-reported adherence to outpatient and drug treatment were investigated using regression analysis. RESULTS The majority (78.5%) of patients reported having attended outpatient visits regularly or only partly irregularly. Most patients (79.2%) also reported regular use of pharmacotherapy. Self-reported non-adherence to preceding outpatient visits was consistently and significantly more common among inpatients than outpatients across all diagnostic groups (p < .001). Across all groups, hospital setting was the strongest independent correlate of poor adherence to outpatient visits (SSA β = -2.418, BD β = -3.417, DD β = -2.766; p < .001 in all). Another independent correlate of non-adherence was substance use disorder (SSA β = -1.555, p = .001; BD β = -1.535, p = .006; DD β = -2.258, p < .000). No other socio-demographic or clinical factor was significantly associated with poor adherence in multivariate regression models. CONCLUSIONS Irrespective of diagnosis, self-reported adherence to outpatient care among patients with schizophrenia or schizoaffective disorder, bipolar disorder, and depression is associated strongly with two factors: hospital setting and substance use disorders. Thus, detection of adherence problems among former inpatients and recognition and treatment of substance misuse are important to ensure proper outpatient care.
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Affiliation(s)
- Boris Karpov
- a Department of Psychiatry , University of Helsinki and Helsinki University Hospital , Helsinki , Finland
| | - Grigori Joffe
- a Department of Psychiatry , University of Helsinki and Helsinki University Hospital , Helsinki , Finland
| | - Kari Aaltonen
- a Department of Psychiatry , University of Helsinki and Helsinki University Hospital , Helsinki , Finland
| | - Jorma Oksanen
- a Department of Psychiatry , University of Helsinki and Helsinki University Hospital , Helsinki , Finland
| | - Kirsi Suominen
- b Department of Mental Health and Substance Abuse , Social Services and Health Care , Helsinki , Finland
| | - Tarja Melartin
- c Department of Psychiatry , Helsinki University Central Hospital , Helsinki , Finland
| | - Ilya Baryshnikov
- a Department of Psychiatry , University of Helsinki and Helsinki University Hospital , Helsinki , Finland
| | - Maaria Koivisto
- a Department of Psychiatry , University of Helsinki and Helsinki University Hospital , Helsinki , Finland
| | - Martti Heikkinen
- a Department of Psychiatry , University of Helsinki and Helsinki University Hospital , Helsinki , Finland
| | - Erkki T Isometsä
- d Department of Psychiatry , Institute of Clinical Medicine , Helsinki , Finland
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Patterns of Prescription of Psychotropic Medications and Their Adherence among Patients with Schizophrenia in Two Psychiatric Hospitals in Accra, Ghana: A Cross-Sectional Survey. PSYCHIATRY JOURNAL 2018. [PMID: 29536020 PMCID: PMC5817813 DOI: 10.1155/2018/9850594] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background Patients with schizophrenia are managed with antipsychotics and other psychotropic medications. Objectives This study aimed to assess the commonly prescribed psychotropic medications for patients with schizophrenia, explore the types of therapeutic monitoring that were performed, and find out whether the side effects experienced by the patients played any role in their adherence behaviour. Methods This hospital-based cross-sectional study enrolled 259 patients with schizophrenia from Accra Psychiatric Hospital and Pantang Psychiatric Hospital. Data were collected on mental status, side effects, types of therapeutic monitoring performed, and adherence behaviour. Results Olanzapine was the commonly prescribed psychotropic medication. Most of respondents (73.4%) experienced mild levels of side effects. The negative effects were predominantly genitourinary (26%) and gastrointestinal (17.2%). Blood pressure and heart rate measures were the main types of monitoring performed but no measurement of drug levels was reported. About 98.1% of the participants poorly adhered to their medications and the major reasons for poor adherence were economic challenges, forgetfulness, and the feeling of wellness. Conclusion Adherence to medication is a major health problem among patients with schizophrenia and there is a need to improve adherence and treatment outcomes.
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7
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Bright CE. Measuring Medication Adherence in Patients With Schizophrenia: An Integrative Review. Arch Psychiatr Nurs 2017; 31:99-110. [PMID: 28104068 DOI: 10.1016/j.apnu.2016.09.003] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 08/24/2016] [Accepted: 09/04/2016] [Indexed: 10/21/2022]
Abstract
PURPOSE The purpose of this paper is to assess the validity, reliability and levels of evidence of existing instruments for measuring medication adherence in patients with schizophrenia. BACKGROUND Schizophrenia is estimated to affect approximately 7 individuals out of 1000 in their lifetimes, with fifty percent of patients attempting suicide. However studies have shown that measuring medication adherence in patients with schizophrenia is difficult and no gold standard currently exists. Without reliable and valid instruments to evaluate non-adherence in this population, research into strategies to improve adherence cannot move forward. DATA SOURCES This integrative review used the following search terms: assessing, measuring, medication adherence, schizophrenia, medication non-adherence, validity, reliability and measures. Databases searched included CINAHL, PubMed, PsycINFO and Scopus). Studies were included if they were published from 2000 to 2016. Fourteen instruments were identified from six studies and were included in this review. RESULTS All the instruments assessed were weak in both validity and reliability coupled with having low levels of evidence. Three instruments (two are fairly new) yielded better validity, reliability and sensitivity; however they have not been assessed in broad, diverse samples, so their generalizability remains unclear. CONCLUSION This study suggests the need to develop an instrument with adequate validity, reliability, and sensitivity to various patients' characteristics.
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Affiliation(s)
- Cordellia E Bright
- Medical University of South Carolina, College of Nursing, Charleston, SC.
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