Assessing recovery from schizophrenia as an individual process. A review of self-report instruments

2012 ◽  
Vol 27 (1) ◽  
pp. 19-32 ◽  
Author(s):  
M. Cavelti ◽  
S. Kvrgic ◽  
E.-M. Beck ◽  
J. Kossowsky ◽  
R. Vauth

AbstractObjectiveStudies investigating indicators of recovery from schizophrenia yielded two concepts of recovery. The first is the reduction of psychiatric symptoms and functional disabilities (‘clinical recovery’), while the second describes the individual adaptation process to the threat posed to the individual sense of self by the disorder and its negative consequences (‘personal recovery’). Evidence suggests that both perceptions contribute substantially to the understanding of recovery and require specific assessment and therapy. While current reviews of measures of clinical recovery exist, measures of personal recovery have yet to be investigated. Considering the steadily growing literature on recovery, this article gives an update about existing measures assessing personal recovery.MethodA literature search for instruments was performed using Medline, Embase, PsycINFO&PSYNDEXPlus, ISI Web of Knowledge, and Cochrane Library. Inclusion criteria were: (1) quantitative self-report measures; (2) specifically developed for adults with schizophrenia or schizoaffective disorder or at least applied to individuals suffering from severe mental illness; (3) empirically tested psychometric properties and/or published in a peer-reviewed, English-language journal. Instruments were evaluated with regard to psychometric properties (validity and reliability) and issues of application (user and administrator friendliness, translations).ResultsThirteen instruments met the inclusion criteria. They were individually described and finally summarized in a table reflecting the pros and cons of each instrument. This may enable the reader to make an evidence-based choice for a questionnaire for a specific application.ConclusionThe Recovery Assessment Scale is possibly the best currently available measure of personal recovery when all evaluation criteria are included. However, the ratings listed in the current paper depended on the availability of information and the quality of available reports of previous assessment of the measurement properties. Considering the significant amount of information lacking and inconsistent findings, further research on the reviewed measures is perhaps more important than the development of new measures of personal recovery.

2020 ◽  
Vol 37 (2) ◽  
pp. 45-58
Author(s):  
Alice Lo ◽  
Caroline Hunt ◽  
Maree J. Abbott

AbstractDifferent and evolving conceptualisations of perfectionism have led to the development of numerous perfectionism measures in an attempt to capture the true representations of the construct. It is, therefore, important to ensure that these instruments are valid and reliable. The present systematic review examined the literature for the psychometric properties of the most commonly used general multidimensional trait perfectionism self-report measures. Relevant studies were identified by a systematic electronic search of academic databases. A total of 349 studies were identified, with 38 of these meeting inclusion criteria. The psychometric properties presented in each of these studies were subjected to assessment using a standardised protocol. All studies were evaluated by two reviewers independently. Results indicated that while none of the included measures demonstrated adequacy across all of the nine psychometric properties assessed, most were found to possess adequate internal consistency and construct validity. The absence of evidence to support adequate measurement properties over a number of domains for the measures included in this review may be attributed to the criteria of adequacy used, with some appearing overly strict and less relevant to perfectionism measures. Clinical and research relevance of the present findings and directions for future research are discussed.


Author(s):  
Pedro Montagut-Martínez ◽  
David Pérez-Cruzado ◽  
José Joaquín García-Arenas

Background: Diabetes is a serious chronic disease associated with a large number of complications and an increased risk of premature death. A dietary evaluation is of utmost importance for health promotion, disease prevention and individual treatment plans in patients with diabetes. Methods: An exhaustive search was carried out in various databases—Medline, Web of Science, Open Gray Cochrane Library and Consensus-based Standards for the selection of health status Measurement Instruments (COSMIN)—for systematic review of the measurement properties of instruments that evaluate the dietary intake of people with diabetes mellitus type 1 and/or 2 according to COSMIN standards. Results: Seven instruments were identified. There was no instrument measuring nutritional status for which all the psychometric properties were evaluated. The methodological quality for each of the psychometric properties evaluated was ‘inadequate’ or ‘doubtful’ for all instruments. The Food Frequency Questionnaire (FFQ) evaluated the most psychometric characteristics and with a better score in terms of quality of the evidence. Conclusions: Several instruments have been developed for the evaluation of dietary intake in people with diabetes. Evaluation of this construct is very useful, both in clinical practice and in research, requiring new knowledge in this area. The FFQ is the best instrument available to assess dietary intake in people with diabetes.


Author(s):  
Marco Fabbri ◽  
Alessia Beracci ◽  
Monica Martoni ◽  
Debora Meneo ◽  
Lorenzo Tonetti ◽  
...  

Sleep quality is an important clinical construct since it is increasingly common for people to complain about poor sleep quality and its impact on daytime functioning. Moreover, poor sleep quality can be an important symptom of many sleep and medical disorders. However, objective measures of sleep quality, such as polysomnography, are not readily available to most clinicians in their daily routine, and are expensive, time-consuming, and impractical for epidemiological and research studies., Several self-report questionnaires have, however, been developed. The present review aims to address their psychometric properties, construct validity, and factorial structure while presenting, comparing, and discussing the measurement properties of these sleep quality questionnaires. A systematic literature search, from 2008 to 2020, was performed using the electronic databases PubMed and Scopus, with predefined search terms. In total, 49 articles were analyzed from the 5734 articles found. The psychometric properties and factor structure of the following are reported: Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), Mini-Sleep Questionnaire (MSQ), Jenkins Sleep Scale (JSS), Leeds Sleep Evaluation Questionnaire (LSEQ), SLEEP-50 Questionnaire, and Epworth Sleepiness Scale (ESS). As the most frequently used subjective measurement of sleep quality, the PSQI reported good internal reliability and validity; however, different factorial structures were found in a variety of samples, casting doubt on the usefulness of total score in detecting poor and good sleepers. The sleep disorder scales (AIS, ISI, MSQ, JSS, LSEQ and SLEEP-50) reported good psychometric properties; nevertheless, AIS and ISI reported a variety of factorial models whereas LSEQ and SLEEP-50 appeared to be less useful for epidemiological and research settings due to the length of the questionnaires and their scoring. The MSQ and JSS seemed to be inexpensive and easy to administer, complete, and score, but further validation studies are needed. Finally, the ESS had good internal consistency and construct validity, while the main challenges were in its factorial structure, known-group difference and estimation of reliable cut-offs. Overall, the self-report questionnaires assessing sleep quality from different perspectives have good psychometric properties, with high internal consistency and test-retest reliability, as well as convergent/divergent validity with sleep, psychological, and socio-demographic variables. However, a clear definition of the factor model underlying the tools is recommended and reliable cut-off values should be indicated in order for clinicians to discriminate poor and good sleepers.


2012 ◽  
Vol 47 (2) ◽  
pp. 221-223 ◽  
Author(s):  
Tamara C. Valovich McLeod ◽  
Candace Leach

Reference/Citation: Alla S, Sullivan SJ, Hale L, McCrory P. Self-report scales/checklists for the measurement of concussion symptoms: a systematic review. Br J Sports Med. 2009;43 (suppl 1):i3–i12. Clinical Question: Which self-report symptom scales or checklists are psychometrically sound for clinical use to assess sport-related concussion? Data Sources: Articles available in full text, published from the establishment of each database through December 2008, were identified from PubMed, Medline, CINAHL, Scopus, Web of Science, SPORTDiscus, PsycINFO, and AMED. Search terms included brain concussion, signs or symptoms, and athletic injuries, in combination with the AND Boolean operator, and were limited to studies published in English. The authors also hand searched the reference lists of retrieved articles. Additional searches of books, conference proceedings, theses, and Web sites of commercial scales were done to provide additional information about the psychometric properties and development for those scales when needed in articles meeting the inclusion criteria. Study Selection: Articles were included if they identified all the items on the scale and the article was either an original research report describing the use of scales in the evaluation of concussion symptoms or a review article that discussed the use or development of concussion symptom scales. Only articles published in English and available in full text were included. Data Extraction: From each study, the following information was extracted by the primary author using a standardized protocol: study design, publication year, participant characteristics, reliability of the scale, and details of the scale or checklist, including name, number of items, time of measurement, format, mode of report, data analysis, scoring, and psychometric properties. A quality assessment of included studies was done using 16 items from the Downs and Black checklist1 and assessed reporting, internal validity, and external validity. Main Results: The initial database search identified 421 articles. After 131 duplicate articles were removed, 290 articles remained and were added to 17 articles found during the hand search, for a total of 307 articles; of those, 295 were available in full text. Sixty articles met the inclusion criteria and were used in the systematic review. The quality of the included studies ranged from 9 to 15 points out of a maximum quality score of 17. The included articles were published between 1995 and 2008 and included a collective total of 5864 concussed athletes and 5032 nonconcussed controls, most of whom participated in American football. The majority of the studies were descriptive studies monitoring the resolution of concussive self-report symptoms compared with either a preseason baseline or healthy control group, with a smaller number of studies (n = 8) investigating the development of a scale. The authors initially identified 20 scales that were used among the 60 included articles. Further review revealed that 14 scales were variations of the Pittsburgh Steelers postconcussion scale (the Post-Concussion Scale, Post-Concussion Scale: Revised, Post-Concussion Scale: ImPACT, Post-Concussion Symptom Scale: Vienna, Graded Symptom Checklist [GSC], Head Injury Scale, McGill ACE Post-Concussion Symptoms Scale, and CogState Sport Symptom Checklist), narrowing down to 6 core scales, which the authors discussed further. The 6 core scales were the Pittsburgh Steelers Post-Concussion Scale (17 items), Post-Concussion Symptom Assessment Questionnaire (10 items), Concussion Resolution Index postconcussion questionnaire (15 items), Signs and Symptoms Checklist (34 items), Sport Concussion Assessment Tool (SCAT) postconcussion symptom scale (25 items), and Concussion Symptom Inventory (12 items). Each of the 6 core scales includes symptoms associated with sport-related concussion; however, the number of items on each scale varied. A 7-point Likert scale was used on most scales, with a smaller number using a dichotomous (yes/no) classification. Only 7 of the 20 scales had published psychometric properties, and only 1 scale, the Concussion Symptom Inventory, was empirically driven (Rasch analysis), with development of the scale occurring before its clinical use. Internal consistency (Cronbach α) was reported for the Post-Concussion Scale (.87), Post-Concussion Scale: ImPACT 22-item (.88–.94), Head Injury Scale 9-item (.78), and Head Injury Scale 16-item (.84). Test-retest reliability has been reported only for the Post-Concussion Scale (Spearman r = .55) and the Post-Concussion Scale: ImPACT 21-item (Pearson r = .65). With respect to validity, the SCAT postconcussion scale has demonstrated face and content validity, the Post-Concussion Scale: ImPACT 22-item and Head Injury Scale 9-item have reported construct validity, and the Head Injury Scale 9-item and 16-item have published factorial validity. Sensitivity and specificity have been reported only with the GSC (0.89 and 1.0, respectively) and the Post-Concussion Scale: ImPACT 21-item when combined with the neurocognitive component of ImPACT (0.819 and 0.849, respectively). Meaningful change scores were reported for the Post-Concussion Scale (14.8 points), Post-Concussion Scale: ImPACT 22-item (6.8 points), and Post-Concussion Scale: ImPACT 21-item (standard error of the difference = 7.17; 80% confidence interval = 9.18). Conclusions: Numerous scales exist for measuring the number and severity of concussion-related symptoms, with most evolving from the neuropsychology literature pertaining to head-injured populations. However, very few of these were created in a systematic manner that follows scale development processes and have published psychometric properties. Clinicians need to understand these limitations when choosing and using a symptom scale for inclusion in a concussion assessment battery. Future authors should assess the underlying constructs and measurement properties of currently available scales and use the ever-increasing prospective data pools of concussed athlete information to develop scales following appropriate, systematic processes.


2019 ◽  
Vol 34 (5) ◽  
pp. 754-754
Author(s):  
D P Terry ◽  
A J Gardner ◽  
G L Iverson

Abstract Purpose This systematic review examined clinical outcomes (i.e., prognosis) following a sport-related concussion in athletes who have a pre-injury history of migraines. Clinical recovery was defined functionally as recovery from symptoms or full return to activities following injury. Data Selection All studies published prior to February 2019 that addressed pre-injury migraines as a possible predictor of clinical recovery from concussion were included. Broadly, the search included (i) sport/athlete-related terms, (ii) concussion-related terms, and (iii) diverse predictor/modifier terms. The following databases were utilized: PubMed, PsycINFO®, MEDLINE®, CINAHL, Cochrane Library, EMBASE, SPORTDiscus, Scopus, and Web of Science. After removing duplicates from the 9,372 identified articles, 5,888 abstracts were screened, 358 full-text articles were reviewed, and 15 articles examining pre-injury migraines as a predictor of recovery were included. Data Synthesis Most articles examined pre-injury migraines as an exploratory/secondary predictor of concussion outcome. Migraine history was predominantly based on self-report. Studies included minimal other information about this condition (e.g., age of onset, migraine frequency/severity, past treatment). Methodological rigor varied greatly across studies. Most studies did not find pre-injury migraines to be associated with concussion outcome, but several of these studies had small or very small sample sizes. Larger, better-designed studies suggested pre-injury migraines may be a risk factor for worse concussion outcome. Effect sizes were rarely reported or able to be calculated. Conclusion There is some evidence to suggest pre-injury migraines may be a vulnerability factor for a prolonged recovery following concussion. Future studies should focus on improving methodological quality when assessing the relationship between pre-injury migraines and concussion outcome.


2019 ◽  
Vol 33 (11) ◽  
pp. 1788-1799 ◽  
Author(s):  
Ana Belen Ortega-Avila ◽  
Laura Ramos-Petersen ◽  
Pablo Cervera-Garvi ◽  
Christopher J Nester ◽  
José Miguel Morales-Asencio ◽  
...  

Objective: To identify self-reported outcome measures specific to the foot and ankle in patients with rheumatoid arthritis and to investigate the methodological quality and psychometric properties of these measures. Method: A systematic review focusing on patients with rheumatoid arthritis. Setting: The search was conducted in the PubMed, SCOPUS, CINAHL, PEDro and Google Scholar databases, based on the following inclusion criteria: population (with rheumatoid arthritis) > 18 years; psychometric or clinimetric validation studies of patient-reported outcomes specific to the foot and ankle, in different languages, with no time limit. Two of the present authors independently assessed the quality of the studies located and extracted the relevant data. Terwee’s criteria and the COSMIN checklist were employed to ensure adequate methodological quality. Results: Of the initial 431 studies considered, 14 met the inclusion criteria, representing 7,793 patients (56.8 years). These instruments were grouped into three dimensions (pain, perceived health status and quality of life and disability). The time to complete any of the PROMs varies around 15 minutes. PROMs criterias with the worst scores by COSMIN, 92.85% and 85.71% were criterion validity, measurement error, internal consistency and responsiveness. 28.57% of PROMs were compared with the measurement properties. Conclusion: the Self-Reported Foot and Ankle Score achieved the highest number of positive criteria (according to Terwee and COSMIN), and is currently the most appropriate for patients with Rheumatoid arthritis.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Renée Speyer ◽  
Reinie Cordier ◽  
Berit Kertscher ◽  
Bas J Heijnen

Introduction. Questionnaires on Functional Health Status (FHS) are part of the assessment of oropharyngeal dysphagia.Objective. To conduct a systematic review of the literature on the psychometric properties of English-language FHS questionnaires in adults with oropharyngeal dysphagia.Methods. A systematic search was performed using the electronic databases Pubmed and Embase. The psychometric properties of the questionnaires were determined based on the COSMIN taxonomy of measurement properties and definitions for health-related patient-reported outcomes and the COSMIN checklist using preset psychometric criteria.Results. Three questionnaires were included: the Eating Assessment Tool (EAT-10), the Swallowing Outcome after Laryngectomy (SOAL), and the Self-report Symptom Inventory. The Sydney Swallow Questionnaire (SSQ) proved to be identical to the Modified Self-report Symptom Inventory. All FHS questionnaires obtained poor overall methodological quality scores for most measurement properties.Conclusions. The retrieved FHS questionnaires need psychometric reevaluation; if the overall methodological quality shows satisfactory improvement on most measurement properties, the use of the questionnaires in daily clinic and research can be justified. However, in case of insufficient validity and/or reliability scores, new FHS questionnaires need to be developed using and reporting on preestablished psychometric criteria as recommended in literature.


BMJ Open ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. e036365
Author(s):  
Zheng Zhu ◽  
Weijie Xing ◽  
Lucylynn Lizarondo ◽  
Jian Peng ◽  
Yan Hu ◽  
...  

IntroductionDue to the higher costs associated with advancements in cancer treatment and longer duration of cancer survivorship, increasing financial toxicity has become a great threat to survivors, caregivers and public healthcare systems. Since accurate and reproducible measures are prerequisites for robust results, choosing an acceptable measure with strong psychometric properties to assess financial toxicity is essential. However, a description of the psychometric properties of existing measures is still lacking. The aim of this study is to apply COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology to systematically review the content and structural validity of patient-reported outcome measures (PROMs) of financial toxicity for cancer survivors.Methods and analysisPubMed/Medline, Medline (Ovid), Embase (Ovid), CINAHL (EBSCO), Web of Science, ProQuest Dissertations and Theses, and Cochrane Library (Wiley) will be comprehensively searched from database inception to 15 November 2019. Studies that report the measurement properties of PROMs assessing financial toxicity for cancer survivors will be included. The evaluation of measurement properties, data extraction and data synthesis will be conducted according to the COSMIN methodology.Ethics and disseminationNo individual data are involved in this systematic review. The results will be disseminated to a clinical audience and policy-makers though peer-reviewed journals and conferences and will support researchers in choosing the best measure to evaluate the financial toxicity of cancer survivors.


2019 ◽  
Vol 104 (7) ◽  
pp. e2.10-e2
Author(s):  
Mohammed Aldosari ◽  
Sharon Conroy ◽  
Ana Oliveira

Aim30–70% of children prescribed long-term medicines have poor adherence.1 Knowing the degree of adherence is important to understand the consequences of nonadherence and to develop strategies to improve medication adherence in children. We therefore performed a systematic review to identify measures of medication adherence used in children and the strengths and weaknesses of those measures.MethodsA systematic literature search was performed using PubMed, EMBASE, Medline, CINAHL, IPA and Cochrane library databases covering the period March 2008 to March 2018 in order to focus on the methods recently used to assess adherence. Inclusion criteria were original research studies measuring medication adherence in children (aged 0–18 years) and included all countries and languages. To be included, the assessment tool used to measure adherence in each study needed to be described in detail. Exclusion criteria included: review articles, editorials, conference papers, reports, and studies reporting only adherence outcomes/rates without reporting measurement methods. As a reliability measure, 5% of titles and abstracts were assessed independently by a second researcher.ResultsOf 9,747 papers identified by the search, only 31 articles met the inclusion criteria. Most studies were conducted in the US (14) with four in South Africa, three in Kenya and the remaining ten studies in various countries including one in the UK. Diseases studied included: HIV/AIDS (13), asthma (5), inflammatory bowel disease (3), epilepsy (2), type 1 diabetes (2), others (6). In the commonest disease studied, HIV, self-report, Medication Event Monitoring Systems (MEMS), dose counting, pharmacy refill data and medication plasma levels were used to assess adherence. In patients with diabetes, mobile phone, medication plasma levels and self-report were used. Canister weight and MEMS were used to assess adherence in patients with asthma. Self- reporting was the most commonly used method to assess adherence and was reported to be flexible, inexpensive, and time saving but it was the least accurate and overestimated adherence rates. MEMS was the most accurate method but was also the most expensive. Dose counting was easy to use and inexpensive but adherence was also overestimated with this method. Measuring medication plasma levels was more precise than self-reporting and dose counting but was costly, time consuming and difficult to perform. Pharmacy refill data was more accurate than self-reporting and less accurate than MEMS and medication plasma levels. Mobile phone methods were reported to be very expensive and difficult to perform. Canister weight had the same efficacy as using MEMS and was less expensive, but was only applicable to inhalation devices. ConclusionCurrently, no gold standard method to measure adherence to medicines in children exists as each method has its own advantages and disadvantages. Overall, the MEMS method was the most accurate but most expensive, while self-reporting was the least accurate but least costly.None of these measures were reported to be highly accurate in the assessment of adherence, so it is important to use a combination of multiple measures in order to gain a true picture of adherence.ReferenceChappell F. Medication adherence in children remains a challenge. Prescriber 2015;26(12):31–4.


2013 ◽  
Vol 18 (3) ◽  
pp. 142-152 ◽  
Author(s):  
Jennifer N Stinson ◽  
Anna Huguet ◽  
Patrick McGrath ◽  
Brittany Rosenbloom ◽  
Charlene Soobiah ◽  
...  

BACKGROUND: While paper headache pain diaries have been used to determine the effectiveness of headache treatments in clinical trials, recent advances in information and communication technologies have resulted in the burgeoning use of electronic diaries (e-diaries) for headache pain.OBJECTIVE: To qualitatively review headache e-diaries, assess their measurement properties, examine measurement components and compare these components with recommended reporting guidelines.METHODS: The databases Medline, the Cumulative Index to Nursing and Allied Health Literature, Embase, PsychInfo, the Education Resources Information Centre and ISI Web of Science were searched for self-report headache e-diaries for children and adults. A total of 21 publications that involved e-diaries were found; five articles reported on the development of an e-diary and 16 used an e-diary as an outcome measure in randomized controlled trials or observational studies. The diary measures’ components, features and psychometric properties, as well as the quality of evidence of their psychometric properties, were evaluated.RESULTS: Five headache e-diaries met the a priori criteria and were included in the final analysis. None of these e-diaries had well-developed evidence of reliability and validity. Three e-diaries showed evidence of feasibility. E-diaries with ad hoc measures developed by the study investigators were most common, with little to no supportive evidence of reliability and/or validity. Compliance with the reporting guidelines was variable, with only one-half of the e-diaries measuring the recommended primary outcome of headache frequency.CONCLUSIONS: Specific recommendations regarding the development (including essential components) and testing of headache e-diaries are discussed. Further research is needed to strengthen the measurement of headache pain in clinical trials using headache e-diaries.


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