3.1. Design and Setting of the Study
This cross-sectional study that employed a Q-methodology approach was carried out from April to November 2020 in the general hospital of Kashan city. This hospital has 4 ICUs with 48 beds and 113 nursing personnel. Fourteen specialists provide medical treatments in ICUs, including anesthetics, surgeons, internists, cardiologists, and intensivists.
Q-methodology was first introduced by William Stephenson in 1935 (
19). It is an approach for identifying and comparing individuals' viewpoints. In the Q methodology, the participants (P-sample) sort their viewpoints (Q-sorting) by ranking a set of statements (Q-statements) about a particular issue (
18). Once the sorting is completed, the factor analysis is performed (
20). The analysis tries to identify patterns of similarity and differences in how participants have ranked the statements according to their perceived agreement or importance. The factors that emerge as the common viewpoints of participants are interpreted qualitatively (
18). The Q methodology is a proper method for investigating the different opinions about a subject (
21).
This study was conducted in 6 stages according to the Q methodology phases:
Stage 1- develop the Q-statements: This means collecting statements that cover discrete ideas and concepts of the topic (
22). This step aimed to find the barriers to nurse-physician collaboration in the literature. All the published articles in English and Persian about the barriers to collaboration in different settings from 2000 until the end of 2020 were collected. The research type could be both descriptive and interventional. The keywords of nurse, physician, nurse-physician, barriers, and collaboration and their synonyms were searched in PubMed, Embase, Scopus, SID, Google scholar, and Magiran. One thousand three hundred thirty-eight articles were probed in the first search, and after excluding duplicate and unrelated articles, the abstract of 112 articles was reviewed, and the statements that could represent a barrier were written. The articles were managed by EndNote X8 software.
The 56 statements were extracted from the literature, then 25 statements were omitted by researchers because they had similar content. So 31 items were piloted.
Stage 2- piloting: The comprehensibility of the statements and instructions and how easily participants can sort the statements are ensured at this stage (
18). In this study, ten nursing and intensive care experts evaluated the statements. In order to reduce the researcher bias in selecting the statements, the experts were requested to revise the statements or add new ones if they thought the statements could not cover the subject adequately. The qualitative content analysis and quantitative content analysis, including content validity index (CVI) and content validity ratio (CVR), also were calculated (
23). After deleting and revising the statements according to the views of experts, 24 items remained as Q-statements. The CVR and CVI scores of the statements were calculated at 0.718 and 0.972, respectively, which showed acceptable content validity.
Stage 3- participant selection (P-sample): Use purposive sampling to recruit participants who can articulate viewpoints on the topic because their opinions are important (
22). The 30 nurses and nursing faculty members working or providing education in ICUs were invited to sort the statements. The participants in the study were recruited to reflect the diversity of age, gender, education, and work experience and were willing to participate in the study to represent different viewpoints. The inclusion criteria were at least two years of work experience in ICUs, a bachelor's degree in nursing, and a willingness to participate in the study. It is suggested that a 2:1 ratio of statements to participants is needed in the Q-methodology at a minimum (
19). So the 30 participants seem to be adequate in this study.
Stage 4- data collection: Statements were written on similar cards, and participants sorted them (Q-sorting) according to some level of judgment (
18). For the Q-sorting process, a forced distribution was chosen on a scale from -4 to +4 (not important to most important), as seen in
Figure 1. During sorting, the participants were questioned about why they think a statement is not important or it is very important, and their answers were recorded to help the researchers in the interpretation stage. The demographic variables of each respondent and the number of each statement according to his/her Q-sorting were recorded.
Nine column Q-sort for sorting the statements about barriers to nurse-physician collaboration
Stage 5- analysis: Factor analysis is a statistical method for classifying participants according to their views (
22). The data were analyzed with PQMethod 2.35 software. The centroid factor analysis and varimax rotation were used for data analysis. Factors were extracted using the following criteria: The total amount of variability explained, at least two Q-sorts per factor, and the eigenvalues greater than 1. According to the analysis results, the corresponding people for each extraction factor in the Q methodology were grouped and classified. These people had similar views about the barriers to nurse-physician collaboration in ICUs. Since the number of statements was 24, a factor loading more than 0.4 was accepted.
Stage 6- interpretation: Qualitative interpretation of the viewpoints according to the most negative and positive statements in every factor and developing narratives for each factor representing a viewpoint (
18). In this study, the participants with similar opinions were grouped as a factor. The most and less important and distinguishing statements for every factor were interpreted qualitatively, and narrative explanations were provided for every factor. Distinguishing statements are statements that rank in a position that significantly differs from the rank in other factors.