Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel study ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-02-26

AUTHORS

Mark J Atkinson, Anusha Sinha, Steven L Hass, Shoshana S Colman, Ritesh N Kumar, Meryl Brod, Clayton R Rowland

ABSTRACT

BACKGROUND: The objective of this study was to develop and psychometrically evaluate a general measure of patients' satisfaction with medication, the Treatment Satisfaction Questionnaire for Medication (TSQM). METHODS: The content and format of 55 initial questions were based on a formal conceptual framework, an extensive literature review, and the input from three patient focus groups. Patient interviews were used to select the most relevant questions for further evaluation (n = 31). The psychometric performance of items and resulting TSQM scales were examined using eight diverse patient groups (arthritis, asthma, major depression, type I diabetes, high cholesterol, hypertension, migraine, and psoriasis) recruited from a national longitudinal panel study of chronic illness (n = 567). Participants were then randomized to complete the test items using one of two alternate scaling methods (Visual Analogue vs. Likert-type). RESULTS: A factor analysis (principal component extraction with varimax rotation) of specific items revealed three factors (Eigenvalues > 1.7) explaining 75.6% of the total variance; namely Side effects (4 items, 28.4%, Cronbach's Alpha =.87), Effectiveness (3 items, 24.1%, Cronbach's Alpha =.85), and Convenience (3 items, 23.1%, Cronbach's Alpha =.87). A second factor analysis of more generally worded items yielded a Global Satisfaction scale (3 items, Eigenvalue = 2.3, 79.1%, Cronbach's Alpha =.85). The final four scales possessed good psychometric properties, with the Likert-type scaling method performing better than the VAS approach. Significant differences were found on the TSQM by the route of medication administration (oral, injectable, topical, inhalable), level of illness severity, and length of time on medication. Regression analyses using the TSQM scales accounted for 40-60% of variation in patients' ratings of their likelihood to persist with their current medication. CONCLUSION: The TSQM is a psychometrically sound and valid measure of the major dimensions of patients' satisfaction with medication. Preliminary evidence suggests that the TSQM may also be a good predictor of patients' medication adherence across different types of medication and patient populations. More... »

PAGES

12-12

Journal

TITLE

Health and Quality of Life Outcomes

ISSUE

1

VOLUME

2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1477-7525-2-12

DOI

http://dx.doi.org/10.1186/1477-7525-2-12

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039428500

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/14987333


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chronic Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Administration Routes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug-Related Side Effects and Adverse Reactions", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Factor Analysis, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Care Surveys", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Patient Compliance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Patient Satisfaction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pharmaceutical Preparations", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Psychometrics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Qualitative Research", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Regression Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Self Administration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Severity of Illness Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United States", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Worldwide Outcomes Research, La Jolla Laboratories, Pfizer Inc., 10777 Science Center Drive (B-95), San Diego, CA 92121-1111, USA", 
          "id": "http://www.grid.ac/institutes/grid.410513.2", 
          "name": [
            "Worldwide Outcomes Research, La Jolla Laboratories, Pfizer Inc., 10777 Science Center Drive (B-95), San Diego, CA 92121-1111, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Atkinson", 
        "givenName": "Mark J", 
        "id": "sg:person.01120423031.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120423031.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Quintiles Strategic Research Services, Quintiles Inc., San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Quintiles Strategic Research Services, Quintiles Inc., San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sinha", 
        "givenName": "Anusha", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Worldwide Outcomes Research, Pfizer Inc., USA", 
          "id": "http://www.grid.ac/institutes/grid.410513.2", 
          "name": [
            "Worldwide Outcomes Research, Pfizer Inc., USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hass", 
        "givenName": "Steven L", 
        "id": "sg:person.01371443276.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371443276.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Quintiles Strategic Research Services, Quintiles Inc., San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Quintiles Strategic Research Services, Quintiles Inc., San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Colman", 
        "givenName": "Shoshana S", 
        "id": "sg:person.0722774246.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722774246.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan, College of Pharmacy, Ann Arbor, MI, USA", 
          "id": "http://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "University of Michigan, College of Pharmacy, Ann Arbor, MI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kumar", 
        "givenName": "Ritesh N", 
        "id": "sg:person.01327042250.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327042250.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The BROD GROUP, Mill Valley, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.430475.1", 
          "name": [
            "The BROD GROUP, Mill Valley, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brod", 
        "givenName": "Meryl", 
        "id": "sg:person.0626672617.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626672617.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Worldwide Outcomes Research, Pfizer Inc., USA", 
          "id": "http://www.grid.ac/institutes/grid.410513.2", 
          "name": [
            "Worldwide Outcomes Research, Pfizer Inc., USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rowland", 
        "givenName": "Clayton R", 
        "id": "sg:person.01174407365.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174407365.83"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1023/a:1020662124683", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036400261", 
          "https://doi.org/10.1023/a:1020662124683"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008913209828", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022786229", 
          "https://doi.org/10.1023/a:1008913209828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03195440", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011564687", 
          "https://doi.org/10.3758/bf03195440"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02599549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030047977", 
          "https://doi.org/10.1007/bf02599549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/00019053-199915001-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012025023", 
          "https://doi.org/10.2165/00019053-199915001-00006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s005200050207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050568383", 
          "https://doi.org/10.1007/s005200050207"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-02-26", 
    "datePublishedReg": "2004-02-26", 
    "description": "BACKGROUND: The objective of this study was to develop and psychometrically evaluate a general measure of patients' satisfaction with medication, the Treatment Satisfaction Questionnaire for Medication (TSQM).\nMETHODS: The content and format of 55 initial questions were based on a formal conceptual framework, an extensive literature review, and the input from three patient focus groups. Patient interviews were used to select the most relevant questions for further evaluation (n = 31). The psychometric performance of items and resulting TSQM scales were examined using eight diverse patient groups (arthritis, asthma, major depression, type I diabetes, high cholesterol, hypertension, migraine, and psoriasis) recruited from a national longitudinal panel study of chronic illness (n = 567). Participants were then randomized to complete the test items using one of two alternate scaling methods (Visual Analogue vs. Likert-type).\nRESULTS: A factor analysis (principal component extraction with varimax rotation) of specific items revealed three factors (Eigenvalues > 1.7) explaining 75.6% of the total variance; namely Side effects (4 items, 28.4%, Cronbach's Alpha =.87), Effectiveness (3 items, 24.1%, Cronbach's Alpha =.85), and Convenience (3 items, 23.1%, Cronbach's Alpha =.87). A second factor analysis of more generally worded items yielded a Global Satisfaction scale (3 items, Eigenvalue = 2.3, 79.1%, Cronbach's Alpha =.85). The final four scales possessed good psychometric properties, with the Likert-type scaling method performing better than the VAS approach. Significant differences were found on the TSQM by the route of medication administration (oral, injectable, topical, inhalable), level of illness severity, and length of time on medication. Regression analyses using the TSQM scales accounted for 40-60% of variation in patients' ratings of their likelihood to persist with their current medication.\nCONCLUSION: The TSQM is a psychometrically sound and valid measure of the major dimensions of patients' satisfaction with medication. Preliminary evidence suggests that the TSQM may also be a good predictor of patients' medication adherence across different types of medication and patient populations.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/1477-7525-2-12", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1031326", 
        "issn": [
          "1477-7525"
        ], 
        "name": "Health and Quality of Life Outcomes", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2"
      }
    ], 
    "keywords": [
      "Treatment Satisfaction Questionnaire", 
      "medication adherence", 
      "patient satisfaction", 
      "satisfaction questionnaire", 
      "patient medication adherence", 
      "patient focus groups", 
      "diverse patient groups", 
      "global satisfaction scale", 
      "treatment satisfaction", 
      "illness severity", 
      "current medications", 
      "patient group", 
      "patient population", 
      "patient interviews", 
      "chronic illness", 
      "medication administration", 
      "patient ratings", 
      "chronic diseases", 
      "medications", 
      "side effects", 
      "TSQM", 
      "further evaluation", 
      "good psychometric properties", 
      "psychometric performance", 
      "general measures", 
      "significant differences", 
      "length of time", 
      "regression analysis", 
      "national longitudinal panel study", 
      "preliminary evidence", 
      "psychometric properties", 
      "Satisfaction Scale", 
      "focus groups", 
      "valid measure", 
      "best predictor", 
      "literature review", 
      "questionnaire", 
      "longitudinal panel study", 
      "second factor analysis", 
      "group", 
      "factor analysis", 
      "satisfaction", 
      "illness", 
      "disease", 
      "administration", 
      "study", 
      "severity", 
      "specific items", 
      "Panel Study", 
      "adherence", 
      "measures", 
      "predictors", 
      "relevant questions", 
      "ratings", 
      "participants", 
      "extensive literature review", 
      "items", 
      "review", 
      "total variance", 
      "national panel study", 
      "population", 
      "evidence", 
      "factors", 
      "levels", 
      "differences", 
      "scale", 
      "evaluation", 
      "likelihood", 
      "interviews", 
      "analysis", 
      "effect", 
      "initial question", 
      "objective", 
      "different types", 
      "questions", 
      "test items", 
      "effectiveness", 
      "time", 
      "types", 
      "method", 
      "length", 
      "route", 
      "validation", 
      "variance", 
      "convenience", 
      "major dimensions", 
      "formal conceptual framework", 
      "conceptual framework", 
      "content", 
      "approach", 
      "variation", 
      "format", 
      "input", 
      "dimensions", 
      "properties", 
      "performance", 
      "scaling method", 
      "framework", 
      "TSQM scales", 
      "alternate scaling methods", 
      "Likert-type scaling method", 
      "VAS approach"
    ], 
    "name": "Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel study of chronic disease", 
    "pagination": "12-12", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039428500"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1477-7525-2-12"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "14987333"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1477-7525-2-12", 
      "https://app.dimensions.ai/details/publication/pub.1039428500"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:16", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_391.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/1477-7525-2-12"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1477-7525-2-12'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1477-7525-2-12'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1477-7525-2-12'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1477-7525-2-12'


 

This table displays all metadata directly associated to this object as RDF triples.

323 TRIPLES      22 PREDICATES      155 URIs      141 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1477-7525-2-12 schema:about N024e6ed341c941639bde8425850defc8
2 N17d9196786904f1aaf4c7dc330886ffa
3 N1836cd30026747ad99b7c9b676dd333c
4 N2fb8eea5ded64022bd6447824bbce695
5 N342a27bd52304b9da97f32884fd04612
6 N39e0bd55255e4d6eaaab4c6365c6620e
7 N456da488922942179d8e2a8ec9aefdc3
8 N503fea44763b4639982afd108809a8ab
9 N5ec8f13749f64f16882ae8849f239eff
10 N5fc759463706453897f44dff7c9b2a8c
11 N62b18d79097c46fbb7d0fde01d842d98
12 N70672256987846d0b6b34d5daef7acf2
13 N7bb165b05c2e4471b6c71651e16c38f6
14 N8ca9b6062f8249ab802c7235843581d0
15 Naea452a28aef404eb8eaa3b7c78273c6
16 Nc732306979fb4831af981299b6ea8a79
17 Nd060037174444cfe865188dcca826e4f
18 Ne1fc626376d8492ea9671de05ce0b1dd
19 Ne37484daa160430fad8c1e975d25d957
20 Ne7064d2636d7453b8f6c3e0daaf07670
21 Neab640cc1ec548a58d66cf999a54c6f3
22 anzsrc-for:11
23 anzsrc-for:1103
24 schema:author N6fb8c961842d4fe7ad67dbdd503d658c
25 schema:citation sg:pub.10.1007/bf02599549
26 sg:pub.10.1007/s005200050207
27 sg:pub.10.1023/a:1008913209828
28 sg:pub.10.1023/a:1020662124683
29 sg:pub.10.2165/00019053-199915001-00006
30 sg:pub.10.3758/bf03195440
31 schema:datePublished 2004-02-26
32 schema:datePublishedReg 2004-02-26
33 schema:description BACKGROUND: The objective of this study was to develop and psychometrically evaluate a general measure of patients' satisfaction with medication, the Treatment Satisfaction Questionnaire for Medication (TSQM). METHODS: The content and format of 55 initial questions were based on a formal conceptual framework, an extensive literature review, and the input from three patient focus groups. Patient interviews were used to select the most relevant questions for further evaluation (n = 31). The psychometric performance of items and resulting TSQM scales were examined using eight diverse patient groups (arthritis, asthma, major depression, type I diabetes, high cholesterol, hypertension, migraine, and psoriasis) recruited from a national longitudinal panel study of chronic illness (n = 567). Participants were then randomized to complete the test items using one of two alternate scaling methods (Visual Analogue vs. Likert-type). RESULTS: A factor analysis (principal component extraction with varimax rotation) of specific items revealed three factors (Eigenvalues > 1.7) explaining 75.6% of the total variance; namely Side effects (4 items, 28.4%, Cronbach's Alpha =.87), Effectiveness (3 items, 24.1%, Cronbach's Alpha =.85), and Convenience (3 items, 23.1%, Cronbach's Alpha =.87). A second factor analysis of more generally worded items yielded a Global Satisfaction scale (3 items, Eigenvalue = 2.3, 79.1%, Cronbach's Alpha =.85). The final four scales possessed good psychometric properties, with the Likert-type scaling method performing better than the VAS approach. Significant differences were found on the TSQM by the route of medication administration (oral, injectable, topical, inhalable), level of illness severity, and length of time on medication. Regression analyses using the TSQM scales accounted for 40-60% of variation in patients' ratings of their likelihood to persist with their current medication. CONCLUSION: The TSQM is a psychometrically sound and valid measure of the major dimensions of patients' satisfaction with medication. Preliminary evidence suggests that the TSQM may also be a good predictor of patients' medication adherence across different types of medication and patient populations.
34 schema:genre article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf Ndf6c38a550844770beb22c7f37b5b498
38 Nefa2af2dc1524746b07487925a16b4e7
39 sg:journal.1031326
40 schema:keywords Likert-type scaling method
41 Panel Study
42 Satisfaction Scale
43 TSQM
44 TSQM scales
45 Treatment Satisfaction Questionnaire
46 VAS approach
47 adherence
48 administration
49 alternate scaling methods
50 analysis
51 approach
52 best predictor
53 chronic diseases
54 chronic illness
55 conceptual framework
56 content
57 convenience
58 current medications
59 differences
60 different types
61 dimensions
62 disease
63 diverse patient groups
64 effect
65 effectiveness
66 evaluation
67 evidence
68 extensive literature review
69 factor analysis
70 factors
71 focus groups
72 formal conceptual framework
73 format
74 framework
75 further evaluation
76 general measures
77 global satisfaction scale
78 good psychometric properties
79 group
80 illness
81 illness severity
82 initial question
83 input
84 interviews
85 items
86 length
87 length of time
88 levels
89 likelihood
90 literature review
91 longitudinal panel study
92 major dimensions
93 measures
94 medication adherence
95 medication administration
96 medications
97 method
98 national longitudinal panel study
99 national panel study
100 objective
101 participants
102 patient focus groups
103 patient group
104 patient interviews
105 patient medication adherence
106 patient population
107 patient ratings
108 patient satisfaction
109 performance
110 population
111 predictors
112 preliminary evidence
113 properties
114 psychometric performance
115 psychometric properties
116 questionnaire
117 questions
118 ratings
119 regression analysis
120 relevant questions
121 review
122 route
123 satisfaction
124 satisfaction questionnaire
125 scale
126 scaling method
127 second factor analysis
128 severity
129 side effects
130 significant differences
131 specific items
132 study
133 test items
134 time
135 total variance
136 treatment satisfaction
137 types
138 valid measure
139 validation
140 variance
141 variation
142 schema:name Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel study of chronic disease
143 schema:pagination 12-12
144 schema:productId N412b0aa57fa44d1b97ccd0e4e0d7c3cf
145 N4fb4fca3d4c8496cbfd4e01c0a43c262
146 N9d0291336c0b4cd8920a1569b186e2e4
147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039428500
148 https://doi.org/10.1186/1477-7525-2-12
149 schema:sdDatePublished 2021-12-01T19:16
150 schema:sdLicense https://scigraph.springernature.com/explorer/license/
151 schema:sdPublisher Nd6d7b9726b3c49a88a2ffc2bff14317e
152 schema:url https://doi.org/10.1186/1477-7525-2-12
153 sgo:license sg:explorer/license/
154 sgo:sdDataset articles
155 rdf:type schema:ScholarlyArticle
156 N024e6ed341c941639bde8425850defc8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Middle Aged
158 rdf:type schema:DefinedTerm
159 N05a8444fa8a44213a9be015ee65a45d1 rdf:first sg:person.01371443276.46
160 rdf:rest Nb3a657862efc481a8f7e19375f13c199
161 N17d9196786904f1aaf4c7dc330886ffa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Drug Administration Routes
163 rdf:type schema:DefinedTerm
164 N1836cd30026747ad99b7c9b676dd333c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Regression Analysis
166 rdf:type schema:DefinedTerm
167 N2fb8eea5ded64022bd6447824bbce695 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Factor Analysis, Statistical
169 rdf:type schema:DefinedTerm
170 N342a27bd52304b9da97f32884fd04612 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Health Care Surveys
172 rdf:type schema:DefinedTerm
173 N39e0bd55255e4d6eaaab4c6365c6620e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Humans
175 rdf:type schema:DefinedTerm
176 N412b0aa57fa44d1b97ccd0e4e0d7c3cf schema:name pubmed_id
177 schema:value 14987333
178 rdf:type schema:PropertyValue
179 N456da488922942179d8e2a8ec9aefdc3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Drug-Related Side Effects and Adverse Reactions
181 rdf:type schema:DefinedTerm
182 N4fb4fca3d4c8496cbfd4e01c0a43c262 schema:name doi
183 schema:value 10.1186/1477-7525-2-12
184 rdf:type schema:PropertyValue
185 N503fea44763b4639982afd108809a8ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name United States
187 rdf:type schema:DefinedTerm
188 N5a738783553342cbb1a06e43bdbc782d rdf:first sg:person.01174407365.83
189 rdf:rest rdf:nil
190 N5ec8f13749f64f16882ae8849f239eff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Psychometrics
192 rdf:type schema:DefinedTerm
193 N5fc759463706453897f44dff7c9b2a8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Pharmaceutical Preparations
195 rdf:type schema:DefinedTerm
196 N62b18d79097c46fbb7d0fde01d842d98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Adult
198 rdf:type schema:DefinedTerm
199 N6fb8c961842d4fe7ad67dbdd503d658c rdf:first sg:person.01120423031.90
200 rdf:rest Ne9290af82e0e4b469cbeff069da08b7b
201 N70672256987846d0b6b34d5daef7acf2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
202 schema:name Aged
203 rdf:type schema:DefinedTerm
204 N7bb165b05c2e4471b6c71651e16c38f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
205 schema:name Patient Satisfaction
206 rdf:type schema:DefinedTerm
207 N813b6a728e7f4070890b9cd0fc4bafd6 rdf:first sg:person.01327042250.26
208 rdf:rest Ne2272c5f59fb42ebb9df8344f140d08f
209 N8ca9b6062f8249ab802c7235843581d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
210 schema:name Surveys and Questionnaires
211 rdf:type schema:DefinedTerm
212 N9d0291336c0b4cd8920a1569b186e2e4 schema:name dimensions_id
213 schema:value pub.1039428500
214 rdf:type schema:PropertyValue
215 Nad4faea7543a44e185ef165a86919460 schema:affiliation grid-institutes:None
216 schema:familyName Sinha
217 schema:givenName Anusha
218 rdf:type schema:Person
219 Naea452a28aef404eb8eaa3b7c78273c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
220 schema:name Self Administration
221 rdf:type schema:DefinedTerm
222 Nb3a657862efc481a8f7e19375f13c199 rdf:first sg:person.0722774246.81
223 rdf:rest N813b6a728e7f4070890b9cd0fc4bafd6
224 Nc732306979fb4831af981299b6ea8a79 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
225 schema:name Adolescent
226 rdf:type schema:DefinedTerm
227 Nd060037174444cfe865188dcca826e4f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
228 schema:name Patient Compliance
229 rdf:type schema:DefinedTerm
230 Nd6d7b9726b3c49a88a2ffc2bff14317e schema:name Springer Nature - SN SciGraph project
231 rdf:type schema:Organization
232 Ndf6c38a550844770beb22c7f37b5b498 schema:issueNumber 1
233 rdf:type schema:PublicationIssue
234 Ne1fc626376d8492ea9671de05ce0b1dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
235 schema:name Aged, 80 and over
236 rdf:type schema:DefinedTerm
237 Ne2272c5f59fb42ebb9df8344f140d08f rdf:first sg:person.0626672617.16
238 rdf:rest N5a738783553342cbb1a06e43bdbc782d
239 Ne37484daa160430fad8c1e975d25d957 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
240 schema:name Chronic Disease
241 rdf:type schema:DefinedTerm
242 Ne7064d2636d7453b8f6c3e0daaf07670 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
243 schema:name Severity of Illness Index
244 rdf:type schema:DefinedTerm
245 Ne9290af82e0e4b469cbeff069da08b7b rdf:first Nad4faea7543a44e185ef165a86919460
246 rdf:rest N05a8444fa8a44213a9be015ee65a45d1
247 Neab640cc1ec548a58d66cf999a54c6f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
248 schema:name Qualitative Research
249 rdf:type schema:DefinedTerm
250 Nefa2af2dc1524746b07487925a16b4e7 schema:volumeNumber 2
251 rdf:type schema:PublicationVolume
252 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
253 schema:name Medical and Health Sciences
254 rdf:type schema:DefinedTerm
255 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
256 schema:name Clinical Sciences
257 rdf:type schema:DefinedTerm
258 sg:journal.1031326 schema:issn 1477-7525
259 schema:name Health and Quality of Life Outcomes
260 schema:publisher Springer Nature
261 rdf:type schema:Periodical
262 sg:person.01120423031.90 schema:affiliation grid-institutes:grid.410513.2
263 schema:familyName Atkinson
264 schema:givenName Mark J
265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120423031.90
266 rdf:type schema:Person
267 sg:person.01174407365.83 schema:affiliation grid-institutes:grid.410513.2
268 schema:familyName Rowland
269 schema:givenName Clayton R
270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174407365.83
271 rdf:type schema:Person
272 sg:person.01327042250.26 schema:affiliation grid-institutes:grid.214458.e
273 schema:familyName Kumar
274 schema:givenName Ritesh N
275 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327042250.26
276 rdf:type schema:Person
277 sg:person.01371443276.46 schema:affiliation grid-institutes:grid.410513.2
278 schema:familyName Hass
279 schema:givenName Steven L
280 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371443276.46
281 rdf:type schema:Person
282 sg:person.0626672617.16 schema:affiliation grid-institutes:grid.430475.1
283 schema:familyName Brod
284 schema:givenName Meryl
285 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626672617.16
286 rdf:type schema:Person
287 sg:person.0722774246.81 schema:affiliation grid-institutes:None
288 schema:familyName Colman
289 schema:givenName Shoshana S
290 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722774246.81
291 rdf:type schema:Person
292 sg:pub.10.1007/bf02599549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030047977
293 https://doi.org/10.1007/bf02599549
294 rdf:type schema:CreativeWork
295 sg:pub.10.1007/s005200050207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050568383
296 https://doi.org/10.1007/s005200050207
297 rdf:type schema:CreativeWork
298 sg:pub.10.1023/a:1008913209828 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022786229
299 https://doi.org/10.1023/a:1008913209828
300 rdf:type schema:CreativeWork
301 sg:pub.10.1023/a:1020662124683 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036400261
302 https://doi.org/10.1023/a:1020662124683
303 rdf:type schema:CreativeWork
304 sg:pub.10.2165/00019053-199915001-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012025023
305 https://doi.org/10.2165/00019053-199915001-00006
306 rdf:type schema:CreativeWork
307 sg:pub.10.3758/bf03195440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011564687
308 https://doi.org/10.3758/bf03195440
309 rdf:type schema:CreativeWork
310 grid-institutes:None schema:alternateName Quintiles Strategic Research Services, Quintiles Inc., San Francisco, CA, USA
311 schema:name Quintiles Strategic Research Services, Quintiles Inc., San Francisco, CA, USA
312 rdf:type schema:Organization
313 grid-institutes:grid.214458.e schema:alternateName University of Michigan, College of Pharmacy, Ann Arbor, MI, USA
314 schema:name University of Michigan, College of Pharmacy, Ann Arbor, MI, USA
315 rdf:type schema:Organization
316 grid-institutes:grid.410513.2 schema:alternateName Worldwide Outcomes Research, La Jolla Laboratories, Pfizer Inc., 10777 Science Center Drive (B-95), San Diego, CA 92121-1111, USA
317 Worldwide Outcomes Research, Pfizer Inc., USA
318 schema:name Worldwide Outcomes Research, La Jolla Laboratories, Pfizer Inc., 10777 Science Center Drive (B-95), San Diego, CA 92121-1111, USA
319 Worldwide Outcomes Research, Pfizer Inc., USA
320 rdf:type schema:Organization
321 grid-institutes:grid.430475.1 schema:alternateName The BROD GROUP, Mill Valley, CA, USA
322 schema:name The BROD GROUP, Mill Valley, CA, USA
323 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...