Irena Makivi?, Zalika Klemenc- Keti?
ABSTRACT
Engel was the first to introduce the biopsy—chosocial (BPS) model to the world in 1977.It takes into account biological, psycholog—ical and social factors, and their complex interactions, in order to understand health,illness and healthcare delivery.1The BPS approach is important at the primary health—care level, and the World Organisation of Family Doctors Europe has incorporated it into one of the core competencies of family medicine.2The challenge in primary care is to decide whether a physical complaint represents a physical illness or is a somatic manifestation of a psychological problem.3Health is also influenced by social deter—minants of health and the conditions in which people live, exacerbated by the distri—bution of money, power and resources.Health— related behaviours, socioeconomic factors and environmental factors influence health outcomes.4The BPS approach, which considers disease to be the result of organic,human and environmental factors, is closely connected to patient— centred care, which is a key element in ensuring high— quality care.5Despite this, there are still healthcare systems that focus exclusively on physical care and fail to provide mental healthcare to their populations.6Family physicians and their teams take care of those who suffer from the whole spectrum of acute and long— term medical conditions, including mental illness.7With its longi—tudinal family approach, family medicine can usually recognise mental health issues in their initial phases. To recognise mental health issues and to further collaborate inter— professionally, reduces the treatment gap in mental health.8This is important because mental disorders are prevalent in all countries and are connected to poor quality of life, increased mortality, and high social and economic costs.6Mental illness also complicates other medical conditions, making them more challenging and more expensive to manage, which makes mental health an important issue for primary care physicians as well.
Needs assessment is the systematic evaluation of a person’s needs, conducted in order to plan treatment that can meet identified needs and completed as an interview during a patient’s visit. People do not suffer in terms of isolated organs, but as a whole.9They, therefore,have different needs. It is important for the physician to recognise psychosocial issues, especially in patients with chronic disease, in order to build a good patient—physi—cian relationship and optimise treatment10and address the needs accordingly.
First, before adequate recognition of the patient’s health needs, it is important to evaluate whether family physicians are able and willing to address the broad scope of BPS health needs. As the level of BPS approach has not been measured,11the aim of this study was to develop and validate a scale that measure the BPS approach of family physicians to their patients.
The complete process of development and validation,from validity to reliability, is seen (figure 1) and described below.
After the literature review,11a qualitative and quantitative study methodology was used in the process of developing the scale. The qualitative part was carried out through a Delphi study process with family physicians and in accor—dance with research recommendations.12The quantita—tive part, determining validity and reliability,13as in other studies,14was carried out with the help of family medicine trainees and family physicians through a cross— sectional study. Testing of the scale was also carried out through one part of the cross— sectional study.
Different steps of the study involved different partici—pants. Five family physicians, who were also professors of family medicine with more than 20 years of work experi—ence, participated in a brainstorming process that was a prephase of the Delphi study. Thirty— nine family medicine experts were invited to participate in the Delphi study.Invitations were was sent to all family physicians working as mentors for young trainees at the University of Ljublja—na’s Faculty of Medicine, but who are situated throughout Slovenia (and therefore cover city and village settings).For one part of validity study, two groups, one comprising 37 and the other 36 family medicine trainees, were invited to complete the scale. All students who were, at that time,part of the educational process at the family medicine department were invited to take part. Finally, 255 family physicians were invited to complete the scale as part of the cross— sectional study. We invited the same sample as the Qualicopc study, since an additional purpose of the validated scale was to measure outcomes on the patients’side (which is part of another article).
Figure 1 Complete process of development and validation.
The scale was developed through several phases. The liter—ature review11and the brainstorming phase, including several starting points for each part of the BPS model,marked the beginning of the Delphi process. The brain—storming process comprised three starting points for each of every part of biopsychosocial part of the model. On the base of the brainstorming starting points within the first Delphi round, additional statements that covered the BPS dimension of family physicians’ work were acquired and consolidated for the second round. In the second Delphi round, participants used a 5— point Likert scale (1—not important at all, 5—very important) to determine whether the item was important for measuring the biopsychosoci—ality of the family physicians’ approach. The goal was to achieve a consensus of at least 75%.15In the third round,the participants received their answers from the second round and the group median, and were asked to answer again (the same or differently) and assess those items that did not achieve agreement about importance or a consensus level. The final scale was designed according to the arithmetic mean. The items were moderated in such a way that they could be answered on a 5— point Likert scale to the question whether the physicians used this type of approach during their everyday work (1—never, 2—rarely, 3—sometimes, 4—often and 5—always).
Content validity was shown through the Delphi process.First, various participants made it possible to identify rele—vant topics covering all aspects of the biopsychosocially oriented physician’s work. Second, relevance assessment of items was to be included in this scale. Using a 5— point Likert scale, participants stated whether the item was important for measuring the biopsychosociality of the family physicians’ approach with a consensus level of at least 75%. The second step in the development of the scale was to assess its comprehensibility and face validity.Face validity was assessed through an understanding of the questions in the BPS scale. Family medicine trainees were asked to answer whether those items were under—standable (1—impossible to understand, 5—totally understandable). Concurrent validity was carried out through a comparison between the newly developed questions and the questions that were already known and were asking the same thing. Predictive validity is not part of this article.
A reliability study with the second group of family medi—cine trainees was carried out in two parts to determine test—retest reliability. Family medicine trainees were a group of trainees in family medicine who were currently in the educational process at the family medicine department.
Internal consistency, as a measure of equivalence, was shown through Cronbach’s alpha. The important part of reliability was carried out through factor analysis. Cron—bach’s alpha for factors was assessed (with two additional recoded variables, because of their negative values on factors) and the statements with its lowest alphas were eliminated.
The final step was carried out through a cross— sectional study with family physicians that answered the scale with a 5— point Likert scale in order to get the final reliable and validated scale (statistical data for final scale is available in the table 3, where in final scale there are items without blue painted ones).
The Delphi analysis was conducted using the Atlas. ti programme by coding and grouping the statements.Concurrent validity was shown through Pearson’s correla—tion coefficient. Two methods were used to measure reliability: test— retest and split halves. Cronbach’s alpha was used as an important indicator to show quality and internal consistency. Exploratory factor analysis using the principal components analysis (PCA) method with promax rotation was applied. Through PCA with the help of Ward’s dendogram, the number of factor groups was seen. The rotation on recoded factors showed the percentage of the explained variances and named those three factors. The SPSS Statistics V.22 program was used to conduct quantitative measurements.
For the Delphi process and for one part of the valida—tion process, there were agreements on cooperation.
In the Delphi study, 24 family medicine experts partici—pated (from the 39 invited), 22 participants responded in the second round and 21 out of 24 participated in the third round. The majority were women. Most of the participants lived and worked in urban environments in Slovenia and ranged in age 33—62. The comprehensibility of the questions was assessed by 31 (out of 36) family medicine trainees. Family medicine trainees were mostly women, aged between 28 and 56. Finally, a second group of family medicine trainees participated in a research study,answering the scale in two separated sets of time. The first round was answered by 32 and the second round by 25 family medicine trainees (out of 37). They were mostly women, living in an urban environment but working in rural settings. For the final validation, 164 family medical doctors participated within a cross— sectional research (out of 255 invited). The majority were women (table 1).
The outcome of the prestep of the Delphi study was 14 items (online supplemental table 2): 5 items for biomed—ical, 5 for psychological and 4 items for the social part of the model. The first Delphi round produced 43 gener—ated items (9 for the biomedical part, 17 for the psycho—logical part and 17 for the social part) from the 230 initial coded and grouped items. The result of the second round(online supplemental table 3) was the elimination of one item because the median for this was 1 (most participants agreed that it was not important at all). Nine attitudes that did not achieve agreement in the second round weresent to the third round (online supplemental table 4).Three items that still failed to achieve a consensus on their importance (two items with median 3) or did not achieve the consensus level (71.4%) were excluded. This is where the Delphi study ended. The completed Delphi study therefore gave us 39 final items covering three different but interconnected areas: biomedical, psychological and social. Two negatively stated items had an inverted scale,so a recoded item was applied where necessary.
Table 1 Details of participants in each step
All the average answers of the questions were higher than 4 (from 4.2 to 4.8). One question (P9) had already been stated negatively, while another (P10) was stated positively here; based on their comments, it was changed to nega—tive for future research. There were three questions (B2,S3, P5) that were positively significantly important and connected with already validated questions. Construct validity showed that there was a positive linear correla—tion between all three dimensions. All three dimensions had average values of between 3.8 and 4.0 (from 3.3 to 4.4). The highest correlation coefficient was between the social and psychological dimensions (r=0.675; p<0.001),the results of correlation between the psychological and biomedical dimensions were somewhere in between(r=0.352; p<0.001), and the correlation between the social and biomedical dimensions was lowest (r=0.175; p<0.05).
The intraclass correlation coefficient (ICC) for average measures (for test—retest reliability) was 0.862 (ICC 0.778—0.927). There was also high ICC on the social(ICC=0.809) and psychological dimensions (ICC=0.758),but low on the biomedical dimension (ICC=0.380). More—over, the second certification of reliability, that of split halves, showed that the Spearman— Brown coefficient was high on both samples: family medicine trainees and family medical doctors. The highest coefficient was on even and odd division of the family medical doctors sample(Spearman— Brown=0.931). Cronbach was good for the whole scale, with 39 items (2 of them recoded), but was lower in the sample of family medicine trainees (0.881)than in the sample of family medical doctors (0.893).Factor rotation showed that three factors explained 36.3% of the variances. First factor named: ‘Holistic or social approach’, with 14 statements explaining 24.1%of the variances. Second factor named: ‘Psychological part of family medical doctor’s work’, with 13 statements explaining 6.9% of the variances. Third factor named:‘Partnership between patient and doctor’, with 12 state—ments explaining 5.3% of the variances. Cronbach’s alpha was good on the first factor (0.849), and almost good on the second (0.793) and third factors (0.771). In this step,we eliminated four items. The total Cronbach’s alpha on 35 items was 0.911 and also the Keiser— Meyer— Olkin test was higher after the elimination of three items. Three factors with 35 statements explained the higher percentage of variances (39.5%). The final scale for measuring the BPS dimension of the family physician’s work has 35 state—ments that are given in even— odd arrangement. Those factors present three important parts of the BPS model and those factors are named: holistic approach, partner—ship (between physician and patient) and the psycho—logical component of a physician’s work. A stratified analysis based on gender and age, as well as a scale on the complete sample, shows (online supplemental table 5) that the average answers range from 3.01 to 4.79 on the whole scale (male from 2.85 to 4.79; female from 2.92 to 4.79; younger than 54 from 2.91 to 4.77, older than 55 from 3.12 to 4.82).
Through a rigorous scale development process, a valid and reliable scale for measuring the level of the BPS approach of family physicians was developed. To the best of our knowledge, this is the first such scale in the scien—tific literature.11
The developed scale for the BPS dimension of the family physician’s (FP) work (BPS Dimension of FP is available in online supplemental material) had good reliability16and validity scores.17According to the statis—tical results, the final scale was arranged with 35 items in odd and even order. This was shown as the strongest in a highly valued arrangement. The key factors of the scales were holistic approach; partnership between doctor and patient; psychological component of a family physician’s work. Those factors show that there is a BPS dimension in this scale. Pearson’s correlation coefficient also showed a positive linear correlation between developed dimensions of the scale. Between the social and psychological dimen—sions, there was a strong correlation, between the psycho—logical and biomedical dimensions there was a moderate correlation, and between the social and biomedical dimensions there was a weak correlation. Those three factors are still sufficiently correlated to ensure that the scale is good for measuring the BPS dimension of a family physician’s work. There was also the possibility of correlating the items developed and validated in our scale with some existing international questions that measure some parts of the BPS dimension.18Analysis shows that the distribution has almost perfect symmetry (online supplemental figure 1). This is good because the floor effect is related to skewness to the right, while the ceiling is the opposite.
Our study put forward three factors which together measure the BPS approach of a family physician to the patients. The first factor measures the holistic approach—whether the physician is familiar with the social back—ground of the patient and takes family background, job situation, psychological framework, etc into consider—ation when applying clinical knowledge. This was also mentioned in one focus group study, where a doctor said that some patients used sick notes for their condition as a kind of preventive measure.19The second factor is about the psychological part of the family physician’s work—knowledge and skills for knowing the special work of a family physician, which is being aware of the psychological context of an individual’s health, as well as their psycho—logical health. As other studies have shown, BPS framing is centred on how to improve the patient’s situation19and therefore it is more oriented towards the patient’s context. The third factor is the partnership between the patient and the doctor—the individual approach and cooperation with the patient. Patient communication is a critical component of quality of healthcare,20and patient centredness is therefore an important third factor for the further process of measuring whether different levels of biopsychosociality result in different healthcare quality outcomes. Other studies also show that psychosocial factors interfere with health— related quality of life.21
A holistic approach or person— oriented care in combi—nation with a patient— centred approach (with shared deci—sion making) is an important part of the BPS framework,22and both are therefore important factors for a tool that aims to measure the level of biopsychosociality.
Nevertheless, this scale is only one part of the whole picture.23Self— assessment of family physicians regarding the style or type of their work is individually assessed and could potentially be subjected to biased assessment,with an awareness of how it is expected to approach the patients. On the other hand, there is also a system that enables (or not) a specific kind of work. Within this BPS perspective of a family physician’s work, there are also patients with their needs, interests and expectations (this connection has been assessed elsewhere24). The devel—oped scale is a starting point for research into the BPS model in practice, and enables a path through informa—tion and knowledge to understanding.23
This developed scale could potentially be used as a research form in the future. One study shows that family physicians with the most experience mostly employ the BPS frame, whereas those with the least experience rely more on the biomedical frame,19which is the next possi—bility of this scale that could be used in further studies to ascertain whether there is a correlation with additional factors. Comparisons within different countries with simi—larly organised primary care healthcare could be useful.Use of this scale can be also a good reminder for family physicians that biopsychosocially oriented work that assesses a patient’s needs on all three closely connected levels (biomedical, psychological and social) is the norm.A major strength of our study is the multistage iterative process that was used to develop the scale. With the devel—opment of the tool through the inclusion of quantitative and qualitative methods, an all— encompassing scale23has been generated that focuses on personal information(psychological part or mental health), community health(social part) and the provision of healthcare (biomedical part or physical health).
The positive part of the Delphi study methodology is that participants are not associated with each other and there—fore cannot influence each other’s opinions, while the limitation of this process is in the seeking of a consensus without discussion among participants. Because the Delphi technique is usually used to obtain views,15there was a need to validate the scale. This problem was solved by statistical analysis. The concurrent validity was partly tested through the connection with only three items, but not through the whole scale. This is because our scale is new in this field. Predictive validity, which shows whether this scale can predict the outcome that the more BPS the physicians’ approach, the more satisfied are the patients,is not shown for the purpose of this article.
The BPS scale is a reliable, valid and useful self— reported scale for measuring the BPS dimension of family physi—cians toward their patients. It could be used in different healthcare systems, comparisons between different countries could be carried out, and findings could be connected to the organisation of the healthcare system.This scale could potentially be used to study what else is influencing the level of doctors’ BPS orientation. Further investigations could show whether the level of biopsycho—sociality influences quality outcomes: is the treatment of the patient better, are the patients more satisfied, etc.Scale could potentially be transferred to other primary healthcare settings, such as community mental health—care settings.
AcknowledgementsWe would like to thank the late Professor Janko Kersnik for his valuable comments and help through the process of this research.
ContributorsAll authors contributed equally to the presented work. IM planned the study, conducted the survey and made analysis. IM is guarantor, she conducted the study, had access to the data and controlled the decision to publish. ZK- K was the leading professor within doctoral thesis and helped with survey process as well as interpretation, conclusion and suggestions.
FundingThe author first author acknowledges the financial support by the Slovenian Research Agency No.: 33164. Partly, work was also supported by the Slovenian Research Agency, project No.: Z3- 2652.
Competing interestsNone declared.
Patient consent for publicationNot applicable.
Ethics approvalThe ethical committee approved the process for the last part of the cross- sectional study (KME 75/01/12).
Provenance and peer reviewNot commissioned; externally peer reviewed.
Data availability statementData are available on reasonable request. Some data are available as online supplemental information. Other data are available on reasonable request.
Supplemental materialThis content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer- reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines,terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
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ORCID iDIrena Makivi? http://orcid.org/0000-0003-2748-5522
Family Medicine and Community Health2022年2期