Skip to main content

Development and validation of a Japanese version of the person-centered primary care measure



Although primary care (PC) is an indispensable part of the health system, measuring its quality is challenging. A recent measure of PC, Person-Centered Primary Care Measure (PCPCM), covers 11 important domains of PC and has been translated into 28 languages. This study aimed to develop a Japanese version of the PCPCM and assess its reliability and validity.


We employed a cross-sectional mail survey to examine the reliability and content, structure, criterion-related, and convergent validity of the Japanese version of the PCPCM. This study targeted 1000 potential participants aged 20–74 years, selected by simple random sampling in an urban area in Japan. We examined internal consistency, confirmatory factor analysis, correlation between the Japanese version of the Primary Care Assessment Tool-Short Form (JPCAT-SF), and the association between the PCPCM score and influenza vaccine uptake.


A total of 417 individuals responded to the survey (response rate = 41.7%), and we used the data of 244 participants who had the usual source of care to assess the reliability and validity of the PCPCM. Confirmatory factor analysis demonstrated sufficient structural validity of the original one-factor structure. The overall Cronbach’s alpha was 0.94. The Spearman correlation coefficient between PCPCM and JPCAT-SF was 0.60. Influenza vaccine uptake was not significantly associated with total PCPCM score.


The study showed that the Japanese version of the PCPCM has sufficient internal consistency reliability and structural- and criterion-related validity. The measure can be used to compare the quality of primary care in Japan and other countries.

Peer Review reports


Primary care (PC) is an important part of the healthcare system because it is associated with the effective use of healthcare resources and health equity [1,2,3,4]. PC contributes to not only disease-specific care but also the overall performance of healthcare systems through the reduction of inequity, patient-centeredness, access, continuity, coordination, comprehensiveness, quality, and efficiency of care [5]. Due to its nature, measuring the quality of PC is challenging [6]. Disease-specific measures cannot assess indispensable domains of PC as above [7, 8]. In contrast, comprehensive measures including many aspects of PC require a long list of questions, and such measures are not suitable for use in daily practice [9].

To overcome these problems, Etz et al. developed in the United States the Person-Centered Primary Care Measure (PCPCM) in 2019 [9]. PCPCM covers 11 important domains of PC: accessibility, comprehensiveness, integration, coordination, relationship, continuity, advocacy, family context, community context, goal-oriented care and health promotion [9]. PCPCM consists of 11 questions and each question corresponds to each domain [9]. The strength of PCPCM is that it was developed based on PC quality indicators selected in a crowd-sourced survey that recruited a large group of Internet-based volunteers including patients, clinicians and purchasers of health care plans [9]. Moreover, the indicators were refined and revised by multidisciplinary healthcare providers, international PC leaders, insurers, patients, policy makers and professional association leaders [9]. The PCPCM focus on not only the quality of care but also the complexity of primary care to address a patient as a whole person [5]. In particular, the items such as integration, relationship, family context and community context have addressed person-centerdness [10]. To assess individualized, person-centered care from the patient’s perspective is necessary to accomplish generalist practice [11]. Additionally, the reliability and validity of PCPCM were assessed through online and clinical samples [9]. Since its development, PCPCM has been translated into 28 languages [12], and has been reported to be “robust and capable of capturing the essential functions through which PC operates” [5].

In Japan, the Japanese version of the Primary Care Assessment Tool (JPCAT) has been widely used to assess the quality of PC [13,14,15,16]. JPCAT includes 29 items and six domains [13]: first contact, longitudinality, coordination, comprehensiveness and community orientation. The JPCAT-Short Form (SF) consists of 13 items and 6 domains [17]. Importantly, because JPCAT was developed by modifying the original version of the Primary Care Assessment Tool in the US [18] to fit the Japanese context, the score of the JPCAT cannot be compared with that of the original tool directly. Since the PCPCM can assess the broader components of PC quality with fewer items and person-centeredness from the patient’s perspective, the development of a Japanese version of the PCPCM may be useful in identifying the strengths and weaknesses of PC in Japan compared to other countries.

Therefore, this study aimed to develop a Japanese version of the PCPCM and assess its reliability, content, structural, criterion-related, and convergent validity.


Study design, setting, and population

We conducted a cross-sectional study using a mail survey to assess the reliability and validity of the Japanese version of the PCPCM. Reliability was evaluated by internal consistency, and the validity assessment included content, structural, criterion-related, and convergent validity.

Using simple random sampling, we selected 1000 potential participants aged 20–74 years using a basic resident register. The sampling site was Konan-ku, located in the city of Yokohama, Japan, because this area has a similar proportion of people aged 65 years and older (28.6%), and people who receive government safety net programs for livelihood, housing, and healthcare services (1.5%) compared to overall Japan [19]. Yokohama is located next to Tokyo and is the most populated basic municipality in Japan.

The participants answered questions about the Japanese version of the PCPCM, JPCAT-SF, age, sex, years of education, household income, self-rated health, number of years the patient had been with the physician, number of years the patient had been with the practice, and influenza vaccination status. Data were collected between August and September of 2021. Regardless of whether the recipients of the survey responded, the participants also received small gifts worth 500 JPY (approximately 5 US dollars).

Development of the Japanese version of the PCPCM

In accordance with the Principles of Good Practice for the Translation and Cultural Adaptation Process for Patient-Reported Outcomes Measures [20], we developed the Japanese version of the PCPCM. First, the 11-item PCPCM was translated into Japanese by one of the authors (MK) and the validity and clarity of the content and adjustment of the phrasing of the Japanese version were evaluated by our research team. The research team included experts of primary care in Japan such as five certified family physicians and a primary care researcher. The experts discussed not only the expressions or meanings in the Japanese version but also the relevance and comprehensiveness for patients in a primary care setting in Japan. A back translation (Japanese to English) was conducted by a bilingual physician (a co-author, DH) who practiced medicine in both English and Japanese languages and was not familiar with the original English version of the questionnaire. The back translation was sent to the original PCPCM team in the United States and they did not indicate a significant change of meanings from the original version. The Japanese version was revised based on the feedback, mainly about wording or expression. Another round of back translation was subsequently performed and both teams reached a consensus. Finally, we conducted cognitive debriefing to assess the cognitive equivalence of the Japanese version [20]. Interviews were conducted with seven patients (two males and five females) in a family medicine clinic in Japan. We targeted the patients who visited the clinic for regular consultation and the median age was 66 (interquartile range: 35-83). Regarding their academic background, two of them graduated from a junior high school, three from a high school and others completed a college or a university. The interviewer conducted semi-structured interviews. The guide questions based on the COSMIN Study Design checklist [21] are as follows: 1) What do you think about assessing patient experience through the PCPCM (relevance). 2) Do you have additional aspects of primary care which are not covered by the PCPCM (comprehensiveness). 3) Please let me know if you have any difficulties understanding the questionnaire (comprehensibility).4) If you have any comments, please let me know. As the result, all participants did not feel any difficulty understanding the Japanese version of the PCPCM and there were no additional aspects or factors to add to the PCPCM. However, four participants felt the term “a minority group” was difficult to understand. Therefore, our team added the example in the Japanese version: a minority group (such as an ethnic minority or sexual minority). The discussion among experts and cognitive debriefing ensured the content validity of the Japanese version of the PCPCM [22, 23]. The Japanese version of the PCPCM and the fielding kit are available from the authors and they are also available on the original PCPCM website by The Larry A. Green Center:

As with the original PCPCM, the Japanese version consists of 11 questions: accessibility, comprehensiveness, integration, coordination, relationship, continuity, advocacy, family context, community context, goal-oriented care, and health promotion [9]. Each item is given a 1–4-point (maximum 4 points) rating. The total score of the PCPCM was calculated as the mean of the score of all items.

Because the role of general practitioner/family physicians is ambiguous in Japan [24], patients or residents might find it difficult to answer questions such as “How would you assess your primary care experience?” or, “My practice makes it easy for me to get care.” Therefore, we targeted participants who had the “usual source of care (USC)” as the respondents of the questionnaire. We used the question, “Is there a medical facility to whom you usually go if you are sick or need advice about your health?” to identify whether the participant had USC [18]. This was done because the JPCAT-SF employs a similar question for the same purpose [17], namely “Is there a doctor to whom you usually go if you are sick or need advice about your health?” Thus, in the current study, we employed the former question for the PCPCM and the latter question for the JPCAT-SF.

Reliability and validity

We examined the psychometric properties of the Japanese version of the PCPCM using the following steps based on the COSMIN Study Design checklist for patient-reported outcome measurement instruments [21]. First, internal consistency reliability was assessed using item-total correlations and Cronbach’s α reliability coefficients. Item-total correlation exceeding 0.30 and alpha value ≥0.8 was recommended [25]. Second, regarding content validity and translation process, we interviewed patients about the relevance, comprehensiveness, and comprehensibility of the Japanese version of the PCPCM. Also, the experts discussed the relevance and comprehensiveness of the PCPCM. Third, to examine structural validity, we conducted a confirmatory factor analysis because we hypothesised the same one-factor structure as that of the original PCPCM. We employed diagonally weighted least squares for categorical factor analysis of categorical data. The appropriateness of the resulting structure was determined based on factor loadings. Factor loadings ≥0.4 were employed as an indicator [26]. Model fitness was evaluated based on the comparative fit index (CFI), Tucker-Lewis index (TLI), root mean square error of approximation (RMSEA), and standardised root mean square residual (SRMR). For CFI and TLI, values > 0.95 indicated goodness of fit. In addition, RMSEA < 0.06, and SRMR < 0.08 were employed as representative of models with good fit [27]. Forth, criterion-related validity was examined by correlating the total score of the PCPCM with the total score of the JPCAT-SF [17]. We used the JPCAT-SF because the measure of patient experience is often used in the Japanese PC setting and associations between the JPCAT-SF and patient outcomes, such as vaccine uptake [28] or cancer screening [14], have been demonstrated. Fifth, convergent validity was assessed using hypothesis testing. Some studies have reported an association between high patient experience scores and preventive care in the PC setting [28,29,30]. In the current study, our hypothesis was that a high PCPCM total score would be positively associated with influenza vaccine uptake. We categorised the PCPCM total score into quartiles and examined the associations of this score with influenza vaccine uptake using the Cochran–Armitage trend test. We also examined the association between influenza vaccine uptake within the past year [28] and the total and item-specific score of the PCPCM. We employed a logistic regression model to adjust for age, sex, years of education, household income, and self-rated health [28, 31, 32]. We included age and PCPCM scores as continuous variables and sex, household income, education, and self-rated health as categorical variables in the model. In addition, we calculated the odds ratio (OR) per 1 standard deviation (SD) increase in the PCPCM total score to influenza vaccine uptake. We did not evaluate measurement errors such as test-retest validity and responsiveness because of difficultiy of conducting follow-up survey. We also conducted descriptive statistics (mean, SD, median, interquartile range, and percentage) for the PCPCM and the demographics of the participants. In logistic regression, we used multiple imputations for missing values by fully conditional specification, which included age, sex, years of education, household income, self-rated health, and vaccination status. In the confirmatory factor analysis, we employed full information maximum likelihood for missing variables. The scores of the PCPCM and JPCA-SF were calculated based on each regulation. All statistical analyses were conducted using StataCorp. 2017. Stata Statistical Software: Release 15. College Station, TX: StataCorp LLC and R version 4.1.1 (R Foundation for Statistical Computing, Vienna, Austria;

To examine the properties of the PCPCM and perform a satisfactory factor analysis, we estimated a minimal sample size of 200 residents who have USC [21, 33]. Based on our estimated response rate of 20–30% and the previously reported proportion of individuals who had USC in Japan (50%) [13], we sent the questionnaire to 1000 residents.


A total of 417 individuals responded to the survey (response rate = 41.7%). However, 14 were excluded by a blank ballot; thus, the study was conducted on the remaining 403 respondents. The respondents were older than the non-respondents (mean ages: 51.8 vs. 46.5, respectively), and men were less likely to participate in the survey than women (male proportions: 43.2% vs. 55.7%, respectively). Of the 403 individuals, 244 (60.5%) had USC. Table 1 shows the demographics of the individuals with and without USC. The mean total score of the PCPCM was 2.59, the SD was 0.71, and the standard error was 0.003. Table 2 presents the descriptive features of the PCPCM.

Table 1 Demographics of the participants (n = 400, missing information on usual source of care = 3)
Table 2 Descriptive feature of the new Japanese version of the PCPCM (n = 243)

Construct, criterion-related and convergent validity

Figure 1 shows the path diagrams of the confirmatory factor analysis used to assess the structural validity of the one-factor structure of the Japanese PCPCM. All factor loadings of each item on each factor were ≥ 0.40. Confirmatory factor analysis showed a sufficient fit (CFI = 0.991, TLI = 0.989, RMSEA = 0.159, and SRMR = 0.077). Regarding criterion-related validity, the correlation coefficient γ between the PCPCM total score and the JPCAT-SF total score was 0.60 (Fig. 2). In terms of convergent validity, the overall vaccine coverage among participants with USC was 58.9%. The associations between PCPCM total score and influenza vaccination coverage are presented in Fig. 3. In the Cochran-Armitage trend test, the PCPCM total score was not significantly associated with influenza vaccine uptake (p = 0.8626). Moreover, in the logistic regression analysis, the PCPCM total score was not statistically significantly associated with influenza vaccine uptake: OR per 1SD was 1.19 (95% confidence interval [CI]: 0.91–1.56, p = 0.22). However, coordination and advocacy were positively associated with vaccine uptake: OR per 1SD 1.37 (95%CI: 1.01–1.78, p = 0.04), OR 1.40 (95%CI: 1.05–1.87, p = 0.02), respectively. In the same dataset, the JPCAT-SF total score was also not associated with vaccine uptake: OR 1.02 (95%CI: 1.00–1.04, p = 0.088). Table 3 shows OR per 1SD of the PCPCM total and item-specific score.

Fig. 1
figure 1

Factor structure of the Japanese version of the Person-Centered Primary Care Measure (confirmatory factor analysis). Squares are observed variables (items); ellipses are latent variables (factors), values on the single-headed arrows are standardised factor loadings

Fig. 2
figure 2

Scatter plot of the Japanese version of the Person-Centered Primary Care Measure and the Japanese version of Primary Care Assessment Tool-Short Form

Fig. 3
figure 3

Associations of the Japanese version of the Person-Centered Primary Care Measure total score with influenza vaccination

Table 3 Associations of the PCPCM score with influenza vaccination (n = 243)

Reliability of internal consistency

The overall Cronbach’s alpha coefficient of the PCPCM was 0.94, and the Cronbach’s alpha coefficient for all items was > 0.90. The item-total correlation ranged from 0.66 –0.80.


In the present study, we developed a Japanese version of PCPCPM that showed sufficient internal consistency, reliability, and structural and criterion-related validity. In terms of convergent validity, vaccine uptake was not significantly associated with the total PCPCM score. However, the PCPCM had sufficient reliability and validity for assessing patient experience in PC in the Japanese setting.

Zyzanski et al. Examined the psychometric properties of the Japanese version of the PCPCM in 35 The Organisation for Economic Co-operation and Development (OECD) countries, including Japan [12]. However, their study had several limitations. First, regarding the validity, Zyzanski et al. only assessed criterion-related validity and did not examine other types of validity such as convergent validity and structural validity. Second, the translation of English to other languages was conducted by a single independent global company [12]. Therefore, contextual factors such as culture or healthcare systems could not be fully considered. Moreover, whether the company and research team included a native speaker or bilingual member was unclear. In Japan, respondents who answered “no” to the question, “Was it hard to complete this form?”, had higher PCPCM scores than those who answered “yes” [12]. The result may have demonstrated the respondents’ insufficient understanding of the questionnaire. Third, terms and phrases about PC in PCPCM are difficult for Japanese participants to understand. In Japan, because there is no gate-keeping system by a PC physician and a patient can access secondary care directly [24, 34], respondents might not understand some phrases in the PCPCM, such as: “your primary care experience” in “How would you assess your primary care experience?” and “my practice” in “My practice makes it easy for me to get care.” To overcome these limitations, we, a team of Japanese family physicians, developed the alternative Japanese version of the PCPCM, focusing on participants who have USC.

Regarding the results of confirmatory factor analysis, RMSEA did not meet the criteria set a priori. However, other evaluation standards fulfilled the criteria. Therefore, we regarded the structural validity as sufficient. In criterion-related validity, the correlation coefficient between the score of the PCPCM and the JPCAT was the border between moderate and strong [35]. This might mean the PCPCM and the JPCAT did not necessarily measure the exact same thing. The PCPCM focuses on the assessment of person-centeredness compared with the JPCAT and it is the characteristics of the measure [5].

In terms of the PCPCM score, the mean total score in our study was 2.59. This was slightly higher than Zyzanski et al.’s reported score of 2.46 [12]. A possible reason is that the participants in our study had USC and they answered the questionnaire with their USC in mind. Furthermore, our translation might be understandable for participants who are native Japanese speakers. The mean PCPCM score of 2.59 obtained in our study was, however, not a good result compared to other OECD countries [12]. If the score in the current study adapted the rank of the PCPCM total score of the previous study, Japan would rank 28th among 35 OECD countries [12]. This suggests that there is room for improvement in Japanese PC. In terms of each item, continuity, family context, and community context had relatively low scores of 2.14, 2.18, and 2.12, respectively. The scores of these domains were also the worst-three domains in a previous study in the US, both in online and clinical sampling [9]. Therefore, these domains may reflect the common challenges of PC in Japan and the US.

Although our version of the Japanese PCPCM showed sufficient internal consistency reliability, criterion-related validity, and construct validity, convergent validity demonstrated inconsistent results when compared to previous studies that used other patient experience measures [17, 28]. Even in the original PCPCM, the score and outcome of patient care have not been examined. Future studies should, therefore, be conducted to assess the association between PCPCM scores and patient outcomes.

Implications of the study

The PCPCM can assess various aspects of PC and compare the results with those of other countries. The PCPCM has been translated into 28 languages and has assessed reliability and validity in 35 OECD countries [12]. Therefore, our version of the PCPCM is useful for detecting the strong and weak points of Japanese PC compared to other countries. The comparison may ultimately help policymakers, PC physicians, and residents to improve the quality of PC in Japan. Moreover, the PCPCM can also assess person-centeredness from the patient perspectives which is vital for generalist practice [11]. This is an important step to foster person-centered primary care in Japan [11, 36].

Study strengths

Our version of the Japanese PCPCM was developed by a research team that included native Japanese PC physicians, PC researchers, and a bilingual physician who practiced medicine in Japan, the United Kingdom, and the United States, which This is useful for creating an understandable measure for the Japanese native population. Moreover, because this study employed a mail survey and recruited randomly selected adults from the general population, compared to the previous Japanese version, the results of our study could be generalised to people in other areas of Japan. In addition to the previous Japanese version by Etz et al. [9], this study assessed the convergent validity of the PCPCM in the Japanese setting; these results might be helpful in interpreting the meaning of the PCPCM in Japan.

Study limitations

Our study has several potential limitations. First, measurement errors such as test-retest reliability and responsiveness were not assessed because of difficultiy of conducting follow-up survey, and convergent validity and discriminant validity were not confirmed by hypothesis testing. Second, non-response bias may have affected the results. Individuals with negative past PC experiences might not have responded to the survey. Therefore, respondents might have given a higher score than non-respondents, and patient experience in Japan may have been overestimated. Third, our study was conducted in an urban area. Although we selected the study area based on the proportion of the older population and people who received public assistance, other factors were not considered. Thus, the results need to be interpreted carefully. A survey on the PCPCM in other settings such as a rural area should, therefore, be conducted in the future.


The alternative version of the Japanese PCPCM showed sufficient reliability and validity. Our version was created specifically for Japanese patients by Japanese physicians/researchers and can be used to compare the quality of PC in Japan and in other countries. Understanding the strengths and weaknesses of PC in Japan is important for effective PC development.

Availability of data and materials

The datasets generated during and analysed during the current study are not publicly available because we did not receive informed consent concerning data sharing from the participants.But the datasets are available from the corresponding author on reasonable request.



Person-Centered Primary Care Measure


Japanese version of the Primary Care Assessment Tool


Japanese version of the Primary Care Assessment Tool Short Form


Primary care


Organisation for Economic Co-operation and Development


Comparative fit index


Tucker-Lewis index


root mean square error of approximation


Standardised root mean square residual


  1. Starfield B. New paradigms for quality in primary care. Br J Gen Pract. 2001;51:303–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Kringos DS, Boerma WGW, Hutchinson A, Saltman RB, editors. Building primary care in a changing Europe. Copenhagen: European Observatory on Health Systems and Policies; 2015.

    Google Scholar 

  3. Kringos D, Boerma W, Bourgueil Y, Cartier T, Dedeu T, Hasvold T, et al. The strength of primary care in Europe: an international comparative study. Br J Gen Pract. 2013;63:e742–50.

    Article  Google Scholar 

  4. Kringos DS, Boerma WGW, Hutchinson A, van der Zee J, Groenewegen PP. The breadth of primary care: a systematic literature review of its core dimensions. BMC Health Serv Res. 2010;10:65.

    Article  Google Scholar 

  5. Olde Hartman TC, Bazemore A, Etz R, Kassai R, Kidd M, Phillips RL Jr, et al. Developing measures to capture the true value of primary care. BJGP Open. 2021;5:BJGPO.2020.0152.

    Article  Google Scholar 

  6. Burwell SM. Setting value-based payment goals--HHS efforts to improve U.S. health care. N Engl J Med. 2015;372:897–9.

    CAS  Article  Google Scholar 

  7. Stange KC, Etz RS, Gullett H, Sweeney SA, Miller WL, Jaén CR, et al. Metrics for assessing improvements in primary health care. Annu Rev Public Health. 2014;35:423–42.

    Article  Google Scholar 

  8. Stange KC. A science of connectedness. Ann Fam Med. 2009;7:387–95.

    Article  Google Scholar 

  9. Etz RS, Zyzanski SJ, Gonzalez MM, Reves SR, O'Neal JP, Stange KC. A new comprehensive measure of high-value aspects of primary care. Ann Fam Med. 2019;17:221–30.

    Article  Google Scholar 

  10. Hudon C, Fortin M, Haggerty JL, Lambert M, Poitras ME. Measuring patients' perceptions of patient-centered care: a systematic review of tools for family medicine. Ann Fam Med. 2011;9(2):155–64.

    Article  Google Scholar 

  11. Reeve J, Beaulieu MD, Freeman T, et al. Revitalizing generalist practice: the Montreal statement. Ann Fam Med. 2018;16(4):371–3.

    Article  Google Scholar 

  12. Zyzanski SJ, Gonzalez MM, O'Neal JP, Etz RS, Reves SR, Stange KC. Measuring primary care across 35 OECD countries. Ann Fam Med. 2021;19:547–52.

    Article  Google Scholar 

  13. Aoki T, Inoue M, Nakayama T. Development and validation of the Japanese version of primary care assessment tool. Fam Pract. 2016;33:112–7.

    Article  Google Scholar 

  14. Aoki T, Inoue M. Primary care patient experience and cancer screening uptake among women: an exploratory cross-sectional study in a Japanese population. Asia Pac Fam Med. 2017;16:3.

    Article  Google Scholar 

  15. Aoki T, Yamamoto Y, Ikenoue T, Kaneko M, Kise M, Fujinuma Y, et al. Effect of patient experience on bypassing a primary care gatekeeper: a multicenter prospective cohort study in Japan. J Gen Intern Med. 2018;33:722–8.

    Article  Google Scholar 

  16. Aoki T, Yamamoto Y, Ikenoue T, Urushibara-Miyachi Y, Kise M, Fujinuma Y, et al. Social isolation and patient experience in older adults. Ann Fam Med. 2018;16:393–8.

    Article  Google Scholar 

  17. Aoki T, Fukuhara S, Yamamoto Y. Development and validation of a concise scale for assessing patient experience of primary care for adults in Japan. Fam Pract. 2020;37:137–42.

    PubMed  Google Scholar 

  18. Shi L, Starfield B, Xu J. Validating the adult primary care assessment tool. J Fam Pract. 2001;50:161–75.

    Google Scholar 

  19. City of Yokohama. Konan data. Book. 2020. Accessed 29 Nov 2021.

  20. Wild D, Grove A, Martin M, Eremenco S, McElroy S, Verjee-Lorenz A, et al. Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: report of the ISPOR task force for translation and cultural adaptation. Value Health. 2005;8:94–104.

    Article  Google Scholar 

  21. Mokkink LB, Prinsen CAC, Patrick DL, Alonso J, Bouter LM, de Vet HCW, et al. COSMIN Study Design checklist for Patient-reported outcome measurement instruments; 2019. Accessed 17 Apr 2022.

    Google Scholar 

  22. Lynn MR. Determination and quantification of content validity. Nurs Res. 1986;35(6):382–5.

    CAS  Article  Google Scholar 

  23. Schilling LS, Dixon JK, Knafl KA, Grey M, Ives B, Lynn MR. Determining content validity of a self-report instrument for adolescents using a heterogeneous expert panel. Nurs Res. 2007;56(5):361–6.

    Article  Google Scholar 

  24. Sakamoto H, Rahman M, Nomura S, Okamoto E, Koike S, Yasunaga H, et al. Japan health system review; 2018. Accessed 29 Nov 2021.

    Google Scholar 

  25. Bland JM, Altman DG. Cronbach's alpha. BMJ. 1997;314:572.

    CAS  Article  Google Scholar 

  26. Peterson RA. A meta-analysis of variance accounted for and factor loadings in exploratory factor analysis. Mark Lett. 2000;11:261–75.

    Article  Google Scholar 

  27. Reeve BB, Hays RD, Bjorner JB, Cook KF, Crane PK, Teresi JA, et al. Psychometric evaluation and calibration of health-related quality of life item banks: plans for the patient-reported outcomes measurement information system (PROMIS). Med Care. 2007;45(Suppl 1):S22–31.

    Article  Google Scholar 

  28. Kaneko M, Aoki T, Goto R, Ozone S, Haruta J. Better patient experience is associated with better vaccine uptake in older adults: multicentered cross-sectional study. J Gen Intern Med. 2020;35:3485–91.

    Article  Google Scholar 

  29. Christakis DA, Mell L, Wright JA, Davis R, Connell FA. The association between greater continuity of care and timely measles-mumps-rubella vaccination. Am J Public Health. 2000;90:962–5.

    CAS  Article  Google Scholar 

  30. Flocke SA, Stange KC, Zyzanski SJ. The association of attributes of primary care with the delivery of clinical preventive services. Med Care. 1998;36(8 Suppl):AS21–30.

    CAS  PubMed  Google Scholar 

  31. Kamal KM, Madhavan SS, Amonkar MM. Determinants of adult influenza and pneumonia immunization rates. J Am Pharm Assoc (2003). 2003;43:403–11.

    Article  Google Scholar 

  32. Andrew MK, McNeil S, Merry H, Rockwood K. Rates of influenza vaccination in older adults and factors associated with vaccine use: a secondary analysis of the Canadian study of health and aging. BMC Public Health. 2004;4:36.

    Article  Google Scholar 

  33. Kline RB. Principles and practice of structural equation modeling Fourth Edition; 2016. Available from: Accessed 17 Apr 2022

    Google Scholar 

  34. Kaneko M, Oishi A, Matsui Y, Miyachi J, Aoki T, Mathews M. Research evidence is essential for the development of family medicine as a discipline in the Japanese healthcare system. BJGP Open. 2019;3:bjgpopen19X101650.

    Article  Google Scholar 

  35. T D V Swinscow. Statistics at Square One. 11 Correlation and regression; 1997. Avilable from Accessed 17 Apr 2022

    Google Scholar 

  36. Amanda Howe. Medical Generalism Why expertise in whole person medicine matters. Available from: Accsessed 17 Apr 2022

Download references


We would like to thank Dr. Rebecca S Etz and Dr. Kurt C Stange for their support in this study. We would also like to thank Dr. Yasuki Fujinuma.


This study was supported by a grant from the 2020-2021 Research Development Fund of Yokohama City University. The study sponsor had no role in the study design, data collection, analysis, interpretation, writing of the report, or the decision to submit the article for publication.

Author information




MK designed the study and participated in the implementation, data collection, data analysis and writing of the manuscript. MK also served as the guarantor. TO, TA, MI, TW, MK, DH and MM contributed to the design of the study and critically reviewed the manuscript. MK and TA analysed the data. All authors had full access to the data and take responsibility for the integrity and accuracy of the analyses. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Makoto Kaneko.

Ethics declarations

Ethics approval and consent to participate

The study was performed in accordance with the Declaration of Helsinki and approved by the ethics committee of Yokohama City University (approval number: B210300011). Informed consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

MM’s son-in-law worked at IQVIA Services Japan K.K. which is a contract research organisation and a contract sales organisation. MM’s son-in-law works at SYNEOS HEALTH CLINICAL K.K. which is a contract research organisation and a contract sales organisation. Other authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kaneko, M., Okada, T., Aoki, T. et al. Development and validation of a Japanese version of the person-centered primary care measure. BMC Prim. Care 23, 112 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Family medicine
  • Patient-centered care
  • Patient experience
  • Primary care assessment tool
  • Primary health care
  • Quality measurement