Background
At the international level, it has been observed that investing in the provision of services related to mental health (prevention, intervention and health promotion) produces benefits in terms of health and social factors. In addition, economic costs associated with mental health problems are reduced [
1]. Current trends support a community model of mental health care which replaces long, expensive hospital stays with treatment of patients in their community so that they do not lose their family and social connections [
2‐
4]. These services should be developed following a recovery ethic and should focus on the person and their autonomy, along with the therapeutic relationship [
2,
5]. Coordinated, comprehensive care of people with mental health problems in the community where they live is associated with a perception of greater satisfaction in this population [
6].
Wilson and Daly, promoted the move away from the medical model of care to encourage a spirit of recovery in which patients and caregivers are recognized as equal partners in decision-making and certain aspects of planning, such as the provision of mental health services [
7]. A focus on individual preferences and patient participation in decisions is vital to the development of a recovery-oriented system [
8,
9].
Patients’ perceptions are relevant indicators when assessing interventions and the quality of the health service in question [
10,
11] and, in some cases, the capacity to respond to their expectations is considered a performance parameter of the health system itself [
12]. The area of community mental health is no exception, given that patients’ perceptions of the quality of psychiatric care received have become an important component in assessments [
13] and have even been used as an indicator of quality [
14].
Quality of care is a fundamental component of the right to health and essential in ensuring equity and dignity among patients of health services [
15]. Services that meet quality of care criteria can lead to expected health outcomes [
16] and better quality of life [
17]. However, deficits in quality of care can contribute to dissatisfaction, lack of adherence and even an increase in patient mortality [
16].
There is no widely accepted definition of quality of care. This term refers to a multidimensional concept [
18] that is perceived by the mental health patient as positive [
19]. As distinct from the term satisfaction, quality of care includes the perspectives of all parties involved [
20]. It is important to conduct research into those factors that may affect the rating of psychiatric care received by patients, given that a better understanding of the factors that have a negative impact on such ratings will allow both professionals and the administration to improve the patients’ experience [
21].
There is a lack of intercultural studies that compare the perceptions of professionals and patients on the quality of care [
22] and this is mainly due to the very few standardized instruments with adequate psychometric properties available for the assessment of this care [
23].
A recent systematic review reported that there is a scarcity of instruments for the evaluation of satisfaction and quality of psychiatric care that present an acceptable validation process and adequate psychometric properties [
24]. Some instruments are based on the professionals’ point of view on care quality [
25,
26], despite the fact that the perceptions of professionals and patients frequently differ on what constitutes good quality of care [
27]. In fact, there are authors who question the validity of assessing the quality of psychiatric care without taking the patients’ perspective into account [
28] as these patients are an essential component in the development of measurement instruments [
29,
30].
The systematic review mentioned above highlights two instruments within the field of community mental health [
24]. One is the Psychiatric Out-Patient Experiences Questionnaire (POPEQ) which assesses experiences solely from the patients’ point of view [
29]. The other instrument is Quality in Psychiatric Care – OutPatient (QPC-OP) [
31], an instrument of Swedish origin that evaluates the quality of psychiatric care in the community environment from the perspectives of both professionals (QPC-OP Staff) and patients (QPC-OP). This instrument forms part of a battery of Quality in Psychiatric Care tools which assess the quality of psychiatric care in community [
31], hospital [
32] and forensic settings [
33]. The definition of quality used to create the instrument was developed from a phenomenographic study [
19], assessed for apparent validity in a pilot study and tested in a sample of patients admitted to psychiatric hospitalization units in Sweden [
30].
This study is part of a wider international project to adapt the QPC-OP patient version of the instrument in different countries, test its psychometric properties and the equivalence in dimensionality of the different versions by language, and describe and compare the quality of psychiatric care in the community setting in various countries.
Methods
Aim
The aim of the present study was to adapt the patient version of the QPC-OP instrument into Spanish and analyze its reliability and validity.
Design
The study has a descriptive cross-sectional psychometric research design and was carried out in two phases. The first phase involved the translation and adaptation of the QPC-OP instrument into Spanish and, in the second phase, the metric properties of the Spanish version of the QPC-OP instrument were analyzed.
Participants and study setting (sample size)
The sample consisted of 200 patients from community health facilities who met the following inclusion criteria: older than 18 years, having a diagnosis of mental disorder, being followed up in community mental health facilities at the time of the study, and agreeing to participate voluntarily in the study. Exclusion criteria were: inability to understand or speak Spanish, significant cognitive impairment, organic disorder and/or intoxication due to drug use at the time of assessment. Consecutive, non-probabilistic sampling was used.
Data collection was carried out between February, 2020 and March, 2022. The long period of data collection was due to the difficulty in accessing patients in the context of the COVID situation, which affected community mental health centers at the organizational level and required health priorities to be modified.
Calculation of the sample size was carried out based on internal consistency, temporal stability and construct validity. To estimate internal consistency, the recommendations of Streiner, Norman & Cairney (2015) were followed, which consider that between 5 and 20 individuals should be included for each item that makes up the scale [
34]. In this study, it was agreed to include a minimum of 5 individuals. On the other hand, the authors considered that the minimum number required to conduct the confirmatory factor analysis was 200 participants [
35,
36].
To analyze temporal stability, it was estimated that a minimum of 61 participants would be needed to detect an intraclass correlation coefficient (ICC) of around 0.70 between two administrations, assuming a confidence level of 95% and a power of 80% in a bilateral comparison [
37].
Variables and sources of information
As indicated, the QPC-OP instrument assesses the quality of psychiatric care in the community setting from the patients’ perspective and the internal consistency of the whole instrument in the original version shows adequate results (α = 0.95) [
31].
This instrument is made up of 8 factors that represent the quality of psychiatric care in the community setting and the internal consistency of each factor in the original version is shown below. The encounter factor (α = 0.94) represents the interpersonal relationship between the patient and the professional, in which the patient evaluates the degree of empathy, respect, concern and listening that the professional demonstrates. The participation-empowerment (α = 0.92) and participation-information (α = 0.90) factors show the degree of participation in care from the patient’s perspective, as well as whether they consider that they have the essential information to be able to make decisions about their care. The discharge factor (α = 0.66) shows the continuity of care provided by the community mental health center, while the support factor (α = 0.85) shows the support that patients receive from professionals in relation to the stigma associated with mental illness. The environment factor (α = 0.76) represents the degree of safety that patients feel within the center. On the other hand, the next of kin factor (α = 0.65) shows the degree of respect and participation in the care that the close relatives of the patients have. Finally, the accessibility factor (α = 0.79) evaluates the difficulties in contacting the center and the patient’s assigned professionals.
It consists of a total of 30 items distributed across 8 factors as follows: Encounter (6 items), participation-empowerment (3 items), participation-information (5 items), discharge (3 items), support (4 items), environment (3 items), next of kin (2 items) and accessibility (4 items). Each item begins with the words “I feel that…” and is scored on a Likert type scale with 4 response options ranging from 1 (totally disagree) to 4 (totally agree), with a further “not applicable” option for each one if necessary. Scores can be obtained globally or by factors; the maximum global score is 120 points and the minimum 30 points, such that a high score on each factor or on the instrument overall indicates a good perception of quality of psychiatric care on the part of patients. On the other hand, a low score justifies the need for an intervention to make improvements in identified areas.
In addition, other variables related to the sample’s sociodemographic characteristics were collected: age, sex, nationality, educational level, and the community facility that the patient attended.
Procedure
The translation and back-translation were carried out in accordance with the Standards for Educational and Psychological Testing [
38].
The original version of the instrument was translated into Spanish by two native-speaker professional translators who were unaware of the instrument or the aims of the study. A group of experts including nurses, psychologists and psychiatrists reviewed the translation and agreed on the first version of the instrument in Spanish language. Consecutively, the Spanish version was back-translated into the original language to confirm its concordance with the original Swedish version. The original authors of the QPC-OP then examined the back-translation and compared it with the original, finding no discrepancies requiring modifications. A pilot test was carried out in 30 patients with the aim of assessing clarity and comprehension of the items, along with the time required to complete the instrument. Following debriefing, it was not necessary to make any changes to either content or format.
After obtaining the final version of the instrument, the community mental health services nurses recruited the participants after their appointment at the center that day using consecutive non-probabilistic sampling. The patients independently filled out the instruments, consulting the nurses if queries arose. The patients were scheduled within the following 7-14 days to complete the instrument again in order to determine the temporal stability of the instrument.
Statistical analysis
Construct validity
Construct validity was analyzed through confirmatory factor analysis (CFA) with parameters estimated using the least squares method with a polychoric correlation matrix. This method has the same properties as the maximum likelihood method, despite the fact that the criteria were less strict than the normal ones. It is mainly used to measure ordinal items [
39].
The following fit indices were calculated to determine the overall fit of the model:
Bentler Bonnet Normed Fit Index (BBNFI), Bentler Bonnet Non-Normed Fit Index (BBNNFI), the Goodness-of-Fit Index (GFI), the Adjusted Goodness-of-Fit Index (AGFI), the Comparative Fit Index (CFI), the Root Mean-Square Residual (RMR), the Standardized Root Mean-Square Residual (SRMR), the Root Mean Square Error of Approximation (RMSEA), the chi-squared goodness-of-fit test and the ratio between chi-squared and the degrees of freedom (χ2/df). The criteria for a good fit were an X2/df ratio < 3 and BBNFI, BBNNFI, GFI, AGFI and CFI values close to 0.90 [
40‐
42], and RMR, SRMR and RMSEA values lower than 0.08 [
43,
44].
Reliability
Cronbach’s Alpha coefficient was used to assess the internal consistency of the instrument globally and for each of its dimensions. Reliability values higher than 0.70 [
34] were considered adequate.
Temporal stability or test-retest was assessed after 7-14 days through the intraclass correlation coefficient (ICC) in a sample of 98 patients. Coefficient values ranged between 0 and 1. A value equal to or greater than 0.70 was considered an indicator of good agreement [
34].
The statistical program SPSS Statistics version 28 was used for data analysis, EQS version 6.3 was used for confirmatory factor analysis (CFA) [
45] and Factor software for parallel analysis [
46].
Discussion
The aim of this study was to adapt the Quality in Psychiatric Care Outpatient (QPC-OP) instrument into Spanish and analyze its reliability and validity.
To generate the adapted Spanish version of the QPC-OP instrument, a translation/back-translation process was carried out. Other studies of QPC instruments [
53‐
62] have obtained versions in other languages through a similar process. The results in this phase were satisfactory and no difficulties were observed with respect to degree of comprehension or administration of the instrument.
Regarding psychometrics, construct validity (CFA), internal consistency and temporal stability (test-retest) values were adequate.
The confirmatory factor analysis (CFA) carried out indicated that the Spanish version has the same 8 quality of psychiatric care factors as the original Swedish QPC-OP version [
31] and no items required modification. In addition, an EFA was performed to determine the factorial model with the best fit to the Spanish sample analyzed, revealing that it could behave in a one-dimensional manner. The EFA also demonstrated an adequate fit for the model with the 4-factor structure in the sample analyzed.
Factor 1 in this new model groups items that make up dimensions F2.Participation-empowerment and F3.Participation-information of the original structure. This is reasonable as it brackets items related to users’ participation in their care.
Furthermore, factor 2 of the four-factor structure fully groups the items that make up F8.Accessibility of the original structure and an item from F4.Discharge. This makes sense as the item belonging to F4.Discharge measures the perception of the user regarding help received from professionals to look for work or other occupations and the items that form F8.Accessibility represent the potential difficulties that users perceive in contacting either the professionals or the center.
Separately, factor 3 entirely consists of items from F5.Support and F6.Environment, along with some items from F1.Encounter, F4.Discharge and F7.Next of Kin. This is logical as these items assess the user’s perception of safety and respect (not doing harm to oneself or others, feeling safe with the other users and with the center itself, professionals’ respect for users and their relatives, etc.).
Finally, factor 4 seems to include some items from F1.Encounter, F2.Participation-empowerment, F3.Participation-information, F4.Discharge and F7.Next of kin of the original structure. These items assess the user’s perception of treatment received (interest shown, understanding and concern for users’ feelings and care received) as well as respect in decision-making.
Analysis of the reliability of the instrument with the 8 original factors was performed using Cronbach’s alpha coefficient. Globally, the instrument showed a Cronbach’s alpha of 0.951, and in 5 of 8 factors values greater than 0.70 were obtained; an adequate value according to Nunnally and Berstein [
63]. The global Cronbach’s alpha is identical to that of the original instrument [
31], with a higher value than the Spanish professional versions in both the hospital and community settings [
53,
59]. This value is also higher than the Spanish version for patients in the hospital setting [
58], Indonesian hospital versions [
56,
57], the original hospital version for professionals [
64], and the community version for Norwegian professionals [
65]. However, it showed a somewhat lower value than other versions of the QPC instrument [
32,
33,
54,
66,
67]. Of all the factors, F7 (Next of Kin) showed the lowest reliability, as was the case in the original Swedish version [
31]. This may be due to the fact that this factor consisted of only two items and despite the fact that these results were not optimal, it was considered a priority to preserve the original structure of the instrument in the Spanish version.
Temporal stability or test-retest was calculated within the original 8-factor structure. This value was not determined in either the original Swedish QPC-OP version [
31] or in other original community, patient’s hospital or either forensic QPC versions [
32,
33,
66‐
68] or their translated versions [
54‐
57,
65], with the exception of the original hospital version for professionals [
64], Spanish hospital versions [
53,
58] and the Spanish community version for professionals [
59]. The ICC for the total instrument and for each of the factors demonstrated good agreement [
34,
37], with values higher than 0.70 except in F2 (0.589), F3 (0.689) and F8 (0.684). This global value is lower than that of the original hospital version for professionals [
64] and that of the rest of the Spanish versions although it should be pointed out that these also showed values lower than 0.70 in some factors. Specifically, the Spanish hospital versions showed values lower than 0.70 in F6. Discharge [
53,
58], while in the Spanish community version for professionals [
59], it was F5. Support that showed a lower value than we would have preferred. This was not the case in the original hospital version for professionals, where all the factors showed values over 0.70 [
64]. However, the four factor structure presented based on the EFA showed greater reliability in each of the dimensions analyzed.
As a limitation we should stress that it was not possible to assess the sensitivity to change or predictive validity due to the cross-sectional design of the study design. A potential limitation could result from the use of a traditional method to calculate the sample size although, given the complexity of the sample, a sample size of 200 participants was established to carry out the confirmatory factor analyses. It may be the case that the sample is not entirely representative of the study population although the participants were selected from a wide geographical area so that the results can be extrapolated. For the Spanish sample, the unidimensionality or the four dimensions model of the instrument can be considered, although studies with a larger sample size are required to determine whether the one or four-dimensional behavior is maintained. In fact, a larger sample size is highly recommended for further research in general. Another limitation, regarding recruitment, was due to the difficulties arising from the COVID-19 pandemic at health facilities. Future research should consider the collection of other variables that could influence the patient’s perception of quality in psychiatric care to ensure that all such factors are taken into account, as well as the type I intensity of the mental health disorder. Longitudinal designs are recommended for future research to assess sensitivity to change. The data necessary to allow calculation of convergent validity were not collected and this determination is recommended in future research. These limitations should be taken into account in the design of future studies.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.