Evidence map›Paper›PMID 30025515›Full record

Observational studyBMC family practice2018

Translation and validation of the PACIC+ questionnaire: the Thai version.

Daniel Zeugfang, Anawat Wisetborisut, Chaisiri Angkurawaranon, Apinun Aramrattana, Michel Wensing, Joachim Szecsenyi, Katja Krug

Open access · goldAbstract readObservational StudyValidation Study
In one paragraph

Observational study in BMC family practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Daniel ZeugfangDepartment of General Practice and Health Services Research, Marsilius-Arkaden Turm West, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany. Daniel.Zeugfang@med.uni-heidelberg.de.ORCID 0000-0002-4710-6932
Anawat WisetborisutDepartment of Family Medicine, Chiang Mai University, Maharaj Nakorn Chiang Mai hospital, Boonruang-Rit road T. Sutep A. Muang, Chiang Mai, 50200, Thailand.
Chaisiri AngkurawaranonDepartment of Family Medicine, Chiang Mai University, Maharaj Nakorn Chiang Mai hospital, Boonruang-Rit road T. Sutep A. Muang, Chiang Mai, 50200, Thailand.
Apinun AramrattanaDepartment of Family Medicine, Chiang Mai University, Maharaj Nakorn Chiang Mai hospital, Boonruang-Rit road T. Sutep A. Muang, Chiang Mai, 50200, Thailand.
Michel WensingDepartment of General Practice and Health Services Research, Marsilius-Arkaden Turm West, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Joachim SzecsenyiDepartment of General Practice and Health Services Research, Marsilius-Arkaden Turm West, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Katja KrugDepartment of General Practice and Health Services Research, Marsilius-Arkaden Turm West, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Heidelberg University · DEMaharaj Nakorn Chiang Mai Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of patients with chronic illness is increasing worldwide. These patients usually receive care from a primary care facility. The Patient Assessment of Chronic Illness Care (PACIC) is a tool that is increasingly used in several countries to measure how the patients perceive the care they receive. The goal of this validation study is to provide and validate an extended version of the tool, the PACIC+ questionnaire, in Thailand.

methodsIn this observational validation study, patients with type 2 diabetes from the outpatient clinic at a university hospital in Thailand completed the PACIC+ at the clinic. For follow-up, they received the questionnaire per mail after four weeks. The Thai PACIC+ comprises 26 items, which map onto 5 subscales and a summary score related to the Chronic Care Model (CCM) and 5 subscales and a summary score related to the 5A model, a counseling model for behavioral changes. Data-analysis focused on the use of most extreme answering categories (> 15%), internal consistency (Cronbach's alpha), and test-retest reliability. An exploratory factor analysis (EFA) was performed for the CCM and the 5A model separately to examine the factor structure.

resultsA total of 151 patients participated. The average age of the sample was 63 ± 9 years (range 29-86 years). Fifty-three percent of the respondents were female. In the Delivery System subscale, 20% of patients reported the highest possible value; in all other subscales, relative frequencies of the most extreme categories did not exceed 15%. Cronbach's alpha per subscale varied from 0.58 to 0.81, while that of the summary scores were 0.89 and 0.91. The mean difference from the test-retest varied from - 0.06 to 0.17 across subscales. The Kaiser-Meyer-Olkin criterion for sampling adequacy (KMO) was good for both models as well as the Bartlett's test for sphericity p. While the factor loadings in rotated factor solution showed good concordance with the CCM, concordance was not as good for the 5A model, especially for the subscales "Assess" and "Advice".

conclusionA validated Thai version of the PACIC+ is now available to measure how the patients perceive the care they receive.

Indexed as

AdultAgedAged, 80 and overChronic DiseaseDelivery of Health CareDiabetes Mellitus, Type 2Factor Analysis, StatisticalFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresPrimary Health CareReproducibility of ResultsSurveys and QuestionnairesThailandChronic diseaseHealth care surveysHumansPsychometricQuality of health careThailand

Identifiers

PMID30025515
PMCPMC6053714
OpenAlexW2884589821

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.