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Correlation between family physician’s direct advice and pneumococcal vaccination intention and behavior among the elderly in Japan: a cross-sectional study

Abstract

Background

Vaccination is an important element of health maintenance in family medicine. The 23-valent pneumococcal polysaccharide vaccine (PPSV23) is highly recommended for the elderly, but its uptake is low in Japan. Primary care system remains under development and preventive services tend to be neglected in the Japanese medical practice. The study aims to investigate the association between family physician’s recommendations for PPSV23 during outpatient care and PPSV23 vaccination intention and behavior in the elderly.

Method

We conducted a cross-sectional study with a questionnaire at a family medicine clinic in a rural area in Japan. The participants were over the age of 65 without dementia who had maintained a continuity with the clinic. The questionnaire inquired PPSV23 vaccination status, family physician’s advice for PPSV23, socio-demographics, and the constructs in the Health Belief Model. We defined those who had had vaccination intention and behavior as “PPSV23 vaccinated group” and those who had no vaccination and uncertainty about being or no intention to be vaccinated in the future as “PPSV23 unvaccinated group.” We used chi-square test for correlation between physician’s advice and PPSV23 vaccination/intention, univariate and multivariate logistic regression analysis for factors related to the vaccination/intention, and descriptive analysis for reasons for reluctance to the vaccination.

Results

We analyzed 209 valid responses. There were 142 participants in the PPSV23 vaccinated group and 67 in the PPSV23 unvaccinated group. The PPSV23 vaccination group was more likely to have had their physician’s advice (80.2% vs 21.3%, p < 0.001). Multivariate logistic regression analysis showed a significant association between PPSV23 vaccination and their physician’s recommendation (OR 8.50, 95%CI 2.8–26.0), awareness of PPSV23 (OR 8.52, 95%CI 2.1–35.0), and the perceived effectiveness of PPSV23 (OR 4.10, 95%CI 1.2–13.9). The reasons for reluctance to get vaccinated included lack of understanding of PPSV23, lack of physician’s recommendations, and concerns about side effects of PPSV23.

Conclusion

Family physician’s recommendation was positively correlated with PPSV23 vaccination intention and behavior in the elderly. This reinforces the importance of providing preventive services during time-constrained outpatient care, even in medical systems where it is undervalued.

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Background

Preventive care is an important element in family medicine. However, it tends to be undervalued, as curative medicine is mainstream in Japanese medical practice [1]. Some Japanese primary care physicians experience difficulties practicing preventive medicine in their busy outpatient care because of restricted hours of consultation, perceived difficulties encouraging behavior changes in patients, and the lack of seeing the effectiveness of preventive medicine [2]. In addition, under the current medical billing system, providing preventive services are not adequately paid. Hospital-employed physicians typically need to handle outpatient care in parallel with inpatient management. Therefore, outpatient practice becomes a large burden as they already spend a significant amount of time working on a variety of tasks for inpatient care [3]. These factors restrict the practice of preventive medicine in Japan.

Vaccination is one of the most important parts of health maintenance. The 23-valent pneumococcal polysaccharide vaccine (PPSV23) is recommended for the elderly since it lowers the risks of invasive pneumococcal disease [4] and pneumococcal pneumonia. [5] Pneumonia holds 3rd place for cause of death in the elderly [6], and streptococcus pneumoniae is the most dominant causative bacteria, accounting for 17 to 28% in cases of pneumonia in adults [7,8,9]. In Japan, the PPSV23 has proven to be effective in reducing the incidence of pneumonia in general as well as pneumococcal pneumonia specifically [10]. However, receiving the PPSV23 vaccine was voluntary until October 1, 2014, when the vaccine was added to the list of routine vaccinations, therefore the uptake of the PPSV23 vaccination was extremely low at just 17.5% in March, 2012 [11]. While the Centers for Disease Control and Prevention recommend both 13-valent pneumococcal conjugate vaccine (PCV13) and PPSV23 for the elderly over the age of 65 [12], only PPSV23 is currently part of routine vaccinations with public health subsidies available every 5 years after 65 years of age in Japan.

Several facilitators of recommended vaccination have been reported: recommendations from family members or friends [13,14,15], notifications sent to individuals and homepages for public relations purposes set up by each local municipality [16], having knowledge about the vaccine [13, 17], personal record of vaccination [15], and the perceived severity of diseases such as pneumonia, as well as the safety and perceived effectiveness of the vaccine [15, 17, 18]. On the other hand, barriers against vaccination in existing studies included: lack of knowledge about the vaccine, anxiety about its side effects [13, 19, 20], doubting the effectiveness of the vaccine, lack of interest, the cost of self-pay, as well as difficulties making hospital visits due to lack of time [20].

Because preventive medicine provided with the concept of continuity is important in primary care, family physicians have a crucial role in ensuring health maintenance of their patients. Maintaining a continuous relationship with the same family physician or medical institution was positively correlated with receipt of preventive services [21]. In the previous study in Britain, the advice given by general practitioners had the most significant influence on patient’s decisions to get PPSV23 [22].

However, in Japan, there is no research on the influence of advice by family physicians on patient’s receiving preventive services, specifically PPSV 23 vaccination. Additionally, no investigation into the other factors affecting PPSV23 vaccination in the elderly exists in the Japanese primary care setting.

The purpose of this study was to investigate (1) the association between family physician’s direct advice and PPSV23 vaccination intention and behavior in the elderly, (2) factors related to their PPSV23 vaccination intention and behavior, and (3) reasons for reluctance to receive PPSV23 vaccination.

Methods

This is a cross-sectional study of the elderly who regularly visit a single outpatient healthcare clinic, Kikugawa Family Medicine Center, in Shizuoka prefecture, Japan. The study was approved by the Ethics Committee of Kikugawa General Hospital and permission and approval to the investigation were obtained from the clinic.

Setting

The study was conducted at a family medicine clinic in a rural community with a population of approximately 50,000 people. At the clinic, two certified family physicians and 4 family medicine residents were running a group practice at the time of the investigation. The residents had been educated in preventive care as an important element of family medicine by a certified family physician faculty. Therefore, all the physicians at the clinic shared the common ground of a value of preventive medicine in primary care. However, their actual practice might vary according to multiple factors including outpatient time constraint, the complexity of patient health issues and the extent of establishment of patient-physician relationship. Out of the total of 18,756 patients who came to the clinic in 2013, 9094 (48.5%) were elderly patients over the age of 65. The period between clinic visits, depending on their medical conditions and needs, averaged anywhere from 1 week to 3 months. With national health insurance coverage and patients having free access to almost any kind of medical institution, the average outpatient consultation time per patient is between 3 and 15 min in the clinic, according to the complexity of the health problems of each patient.

Participants

We used the convenience sampling method, approaching and distributing the questionnaire to the patients who came to the clinic from November 1, 2013 until a total 500 responses were collected based on predetermined sampling calculation as mentioned in analysis. Inclusion criteria for those to whom the questionnaire was distributed were (1) over the age of 65 as of September 1, 2013, (2) capable of giving their consent to participate in the study and (3) agreed to the study participation. Written informed consent was obtained from all participants prior to the study. After data collection, we then reviewed their electronic medical record (EMR) to confirm the additional inclusion criteria: (4) having had at least 3 consultations in the clinic from August 1, 2011, when the clinic opened, to September 1, 2013 and (5) having no diagnosis of dementia.

Data collection

Participants received the paper-based questionnaire and were asked to complete it while waiting for their outpatient consultation. With visual impairments or difficulty in interpreting the questions, they could have assistance from family members or the research staff at the clinic.

Data confirmation by EMR

After collecting all responses to the questionnaire, we checked the number of clinic visits from the aforementioned period of time (August, 2011 to September, 2013) to evaluate continuity to the clinic as one of the inclusion criteria. We also reviewed the vaccination records of PPSV23 in EMR to validate the answer of the vaccination status in the questionnaire and any documentation regarding the diagnosis of dementia. We defined diagnosis of dementia if one of the following criteria were met: (1) dementia had been registered on the list of diagnosis, (2) there had been a record of Mini-Mental State Examination (MMSE), scoring less than 24 points, or (3) dementia was on the problem list in the progress note.

We excluded the data if the participants did not meet inclusion criteria. We also excluded if there was discordance between responses about vaccination status in the questionnaire and vaccination records in EMR.

The questionnaire

The questionnaire was comprised of a total of 22 items.

First, the questionnaire asked the participants (1) whether they were aware of PPSV23, (2) whether their family physicians had recommended PPSV23 vaccination for their age, and (3) their PPSV23 vaccination status. For those who had not been vaccinated, the questionnaire asked them to choose one from the following three options about their future vaccination intentions (Additional file 1): “I plan to get vaccinated in the future (future vaccination intention).”, “I have decided not to get vaccinated (no intention to future vaccination).”, and “I don’t know if I will get vaccinated or not (uncertainty about future vaccination).” As for those who had not been vaccinated for PPSV23 and who also showed uncertainty about or no intention to be vaccinated in the future, they were asked to choose a single or multiple reasons for their reluctance from 12 items [14, 18,19,20].

Secondly, the questionnaire asked for the participant’s socio-demographic information, including age, gender, educational background, personal financial situation, smoking habits, their medical history of pneumonia and other respiratory diseases, their family history of pneumonia, awareness of PPSV23 and vaccine-related public subsidies, perceived current health conditions, and constructs used in Health Belief Model (HBM) [23,24,25], by reference to the factors that influenced people’s intention to receive vaccination in the previous studies. The HBM is a conceptual model that is widely used to analyze health behaviors. In line with the context of the study, the participants were asked questions about (1) perceived susceptibility to the common cold, (2) perceived susceptibility to pneumonia, (3) perceived severity of pneumonia, (4) perceived effectiveness of PPSV23, and (5) a sense of economic burden as perceived barriers to receiving PPSV23, using a 5-point Likert scale.

Analysis

We defined the respondents who had a history of PPSV23 vaccination confirmed in EMR or who had not been vaccinated but showed the future vaccination intention (“I plan to get vaccinated in the future.”), as the “PPSV23 vaccinated group.” On the other hand, we defined the respondents who had no history of PPSV23 vaccination and who showed uncertainty about or no intention to future vaccination (“I have decided not to get vaccinated.” or “I don’t know if I will get vaccinated or not.”) as the “PPSV23 unvaccinated group”.

It was calculated that a total of 174 responses were necessary in this study (significant level = 0.05, power = 80%, effect size = 0.3) [26, 27]. Since the participants were elderly people over the age of 65, we assumed the response rate or valid response would be low. Therefore, we decided to distribute the questionnaire to 500 people.

We used chi-square test to analyze the association between family physician’s advice and PPSV23 vaccination intention/behavior. We applied univariate logistic regression analysis to examine the factors related to PPSV23 vaccination intention/behavior. For multivariate logistic regression analysis, all factors in univariate analysis associated with PPSV23 vaccination at p < 0.2 were included.

The dependent variable was PPSV23 vaccination intention/behavior. Independent variables included family physician’s direct advice, participant’s demographics (age, gender, educational background, personal financial situation, smoking habits, past medical and family history of pneumonia, awareness of PPSV23 and vaccine-related public subsidies, perceived current health conditions), and constructs adapted from Health Belief Model (HBM). We analyzed the responses on the 5-point Likert scale by separating them into the top two and the lower 3 answers as nominal variables. We conducted descriptive analysis on the PPSV23 unvaccinated group’s reasoning for reluctance to be vaccinated. The analysis was carried out with R version 3.2.0. statistical software [28].

Results

In the study, “PPSV23 vaccinated group” included those who had had PPSV23 vaccination intention/behavior at the time of the investigation. Of 500 elder patients to whom we distributed the questionnaires, 456 patients agreed to participate in the study. Of 456 respondents, we excluded 247 responses (40: lack of continuity, 43: dementia, 153: discordance in vaccination status in between the questionnaire and EMR, 11: incomplete responses), resulting in a total of 209 valid responses for analysis (Fig. 1).

Fig. 1
figure 1

Selection of participants and definitions of PPSV23 vaccinated and unvaccinated group. It shows the process of selection of the participants and depicts the definitions of PPSV23 vaccinated and unvaccinated group

A hundred nineteen respondents were confirmed vaccinated with PPSV23, and 90 respondents were not vaccinated. Among the unvaccinated, 23 respondents had future vaccination intention, therefore by definition, there were 142 respondents in PPSV23 vaccinated group and 67 in PPSV23 unvaccinated group.

Table 1 shows characteristics of the participants including 153 respondents whose reports of PPSV23 vaccination status were discordant in between the questionnaire and EMR, categorized as “uncertain PPSV23 vaccine status group.” The average ages of PPSV23 vaccinated, unvaccinated and uncertain vaccine status group were 77.6, 72.7, 74.2, respectively. The PPSV23 vaccinated group were more likely to report poor subjective health (72.6% vs. 63.5%, 64.9%), subjectively rated their financial situations as comfortable (12.9% vs 3.2%, 6.5%), and perceived effectiveness of PPSV23 (75.2% vs. 33.3%, 56.6%). The respondents in the PPSV23 vaccinated group were more likely to report family physician’s advice on PPSV23 vaccination (78.9% vs 20.3%, 58.5%). Univariate logistic regression analysis revealed that PPSV23 vaccination intention/behavior was significantly correlated with physician’s advice (p < 0.001), age (p < 0.001), awareness of PPSV23 (p < 0.001) and vaccination subsidies (p < 0.001), perceived susceptibility to the common cold (p = 0.016), perceived seriousness of pneumonia (p = 0.027), and perceived the effectiveness of PPSV23 (p < 0.001) [Table 2].

Table 1 Characteristics of study participants
Table 2 Univariate logistic regression analysis for factors related to PPSV23 vaccination intention and behavior

Multivariate logistic regression analysis showed physician’s advice was significantly associated with PPSV23 vaccination (OR 8.50, 95%CI 2.8–26.0). The other factors that were positively correlated with vaccination were awareness of PPSV23 (OR 8.52, 95%CI 2.1–35.0) and perceived effectiveness of PPSV23 (OR 4.10, 95%CI 1.2–13.9) [Table 3].

Table 3 Multivariate logistic regression analysis for factors* related to PPSV23 vaccination intention and behavior

There was a significant relationship between the PPSV23 vaccine status and physician’s direct advice, awareness of PPSV23, and the perceived effectiveness of PPSV23.

Reasons for not getting vaccinated with PPSV23 included “lack of understanding of PPSV23”, “lack of recommendations from their doctors”, “lack of interest in PPSV23”, “lack of perceived value of the vaccine”, and “concerns about the side effects of PPSV23” [Fig. 2].

Fig. 2
figure 2

Reasons for reluctance to get vaccinated in PPSV23 unvaccinated group. It shows the number of responses for each reason for reluctance to get vaccinated in the questionnaire with multiple answers allowed. The question was asked only to the PPSV23 unvaccinated group (n = 67)

We conducted sensitivity analysis using different definitions of PPSV23 vaccinated or unvaccinated group. The results from the sensitivity analysis did not differ significantly compared with those from the analysis using the original definition of outcome. First, we carried out an analysis for “confirmed PPSV23 vaccinated (n=119)” and “confirmed PPSV23 unvaccinated (n=90)” groups without intention to get vaccinated taken into consideration for definition of dependent variable. Physician advice was significantly correlated with PPSV23 vaccination in multivariate regression analysis (OR 182, 95%CI 19–1757). Second, since a substantial number of the participants were excluded due to discordance in vaccine status in between the questionnaire and EMR, we analyzed the data based on the definition of PPSV23 vaccine status by either vaccine records in EMR or reports in the questionnaire alone. When the former definition used, a total 362 participants were included in the analysis, where there were 225 (62.2%) and 137 participants in PPSV23 vaccinated and unvaccinated group, respectively. Physician’s recommendation remained positively correlated with PPSV23 vaccination (OR 4.73, 95%CI 2.33–9.62) [Tables 4, 5]. When the latter definition used, a total 255 responses in the questionnaire were valid and there were 163 (63.9%) and 92 participants in PPSV23 vaccinated and unvaccinated group, respectively. Physician’s recommendation was still positively correlated with PPSV23 vaccination (OR 7.37, 95%CI 2.83–19.22) [Tables 6, 7].

Table 4 Univariate logistic regression analysis for factors related to PPSV23 vaccination intention and behavior (PPSV23 vaccination status defined by electronic medical record)
Table 5 Multivariate logistic regression analysis for factors* related to PPSV23 vaccination intention and behavior (PPSV23 vaccination status defined by electronic medical record)
Table 6 Univariate logistic regression analysis for factors related to PPSV23 vaccination intention and behavior (PPSV23 vaccination status defined by questionnaire)
Table 7 Multivariate logistic regression analysis for factors* related to PPSV23 vaccination intention and behavior (PPSV23 vaccination was defined by questionnaire responses only)

Discussion

The study revealed family physician’s direct advice was significantly correlated with PPSV23 vaccination intention/behavior in the elderly in the Japanese primary care setting. To our knowledge, this is the first study in Japan to examine the value of preventive service provided by family physicians during the busy outpatient continuity care.

Among the principles in family medicine, using illness visits as opportunities for preventive medicine [29] is important to achieve comprehensive care. However, the focus in outpatient encounters in primary care is typically more on laboratory tests and treatments with prescriptions rather than providing preventive services due to medical service fees [1, 2]. Therefore, it is questionable whether or not many healthcare providers place a value on preventive medicine during busy outpatient visits. When examining geriatric patients, primary care physicians need to manage not only polypharmacy and multimorbidity but also newly developed acute health issues within constricted outpatient time. Furthermore, it is not uncommon for them to need to address any concern from the patient’s caretakers. It is possible that those factors make it challenging for family physicians to practice preventive medicine. Given the fact that frequency of visiting the clinic is relatively high at 1–2 months intervals in Japan, family physicians might be able to continue to provide preventive services little by little in each visit. However, it has been pointed out that the number of consultations is not necessarily proportional to the providing of preventive healthcare [30]. Under such circumstances, the study results reinforced an important role of family physicians in preventive medicine even during a busy outpatient encounter in the Japanese medical system.

Continuity of care is one of the most important disciplines of family medicine, and family physicians build cumulative knowledge of their patients in the process [31]. It has been suggested that updating immunization records is related to “preference for usual physicians” or “physicians’ accumulated knowledge of patients” [32]. In this study, we did not use specific instruments to measure continuity [33]. However, we took a “chronological” continuity into account [34], and it is one of the strengths of our study that, in that context, family physician’s advice was associated with the recommended vaccination intention/behavior for the elderly.

“Perceived effectiveness of PPSV23” as facilitators of vaccination and “lack of interest in PPSV23” or “concerns about the side effects of PPSV23” as the reasons for reluctance to get vaccinated were regarded as patient’s perceptions of the vaccine, which could indicate the importance of providing preventive services in line with “contexts” in patient-centered clinical methods [35]. The study investigated the presence or absence of “family physician’s direct recommendations,” and did not explore doctor-patient communications which could influence the patient’s decisions to get vaccinated. Since the lack of interpersonal communication skills between physicians and their patients was shown to be the primary obstacle in providing preventive medicine [36], further research in this area will be needed.

The study has some limitations. First, due to the nature of a cross-sectional study, a causal relationship between physician’s advice and PPSV23 vaccination cannot be fully understood. Second, there is a possibility that some answer content in the questionnaire might lack accuracy. However, we did conduct the analysis after excluding the data with discordance in vaccination status by reviewing EMR. Third, the relationship between physician’s direct advice and PPSV23 vaccination intention/behavior may be over- or underestimated due to a potential effect of clustering of the physician [37] because a history of interacting with the same physician, or the patient-physician correspondence in the practice, for the participants was not evaluated in the study. In addition, the participants in the study were not a representative sample of Japanese primary care practices and therefore generalizing the inference of the result is limited. Lastly, recall bias could lead to overestimation of the association between physician’s direct advice and PPSV23 vaccination intention/behavior.

After we carried out the study, routine PPSV23 vaccination for the elderly over the age of 65 began in October, 2014 and each municipality started a public expenditure subsidy policy for vaccination. Although there have been no nationwide epidemiological studies to examine the changes in the rates of PPSV23 vaccination as the routine PPSV23 vaccination program was introduced, a piece of research conducted at a community hospital showed introduction of the public expenditure subsidy policy increased by 3.4 times the PPSV23 vaccination rates [38]. Under the current circumstances where availability of a public expenditure subsidy for the vaccination and the country’s support of the routine PPSV23 vaccination program could have increased the PPSV23 vaccination rate, it is unknown to what extent the physician’s advice influences the vaccination behavior.

Currently, we have seen many reports that the provisions of preventive care have been improved by incorporating multidisciplinary cooperation and system-based thinking from those that relied solely on individual recollection and skills. Examples include the introduction of an office system approach based on the characteristics of each medical facility [29], quality improvement activities in clinics, multidisciplinary groups participating in the decision process of a clinic management policy [39], introduction of the reminder system [40], and the presence of the registry [39]. However, these strategies are not necessarily used in medical facilities in Japan, and therefore have a potential to further improve the provisions of preventive medicine in Japanese primary care.

Conclusion

In a busy family medicine outpatient practice, the family physician’s direct advice was positively correlated with PPSV23 vaccination intention/behavior in the elderly. In order to improve the PPSV23 vaccination rate at the individual level, it is essential to provide information on PPSV23 with better understanding of patient’s perception of the vaccine, using any illness visit as an opportunity for preventive medicine.

Abbreviations

EMR:

Electronic medical record

HBM:

Health Belief Model

MMSE:

Mini-Mental State Examination

PCV13:

13-valent pneumococcal conjugate vaccine

PPSV23:

23-valent Pneumococcal Polysaccharide Vaccine

References

  1. What is preventive medicine? http://www.yobouigakukai.com/yobouigaku.html. Yobouigakukai. Accessed 25 Feb 2015.

  2. Omura S, Kitamura K, Miyazaki K, Mukaibara K. Why is the practice of preventive medicine in everyday practice difficult? What are the solutions? Japanese J Fam Pract. 2004;11(1):24–9.

    Google Scholar 

  3. Research on the results verification of revised medical fees in 2010. Descriptive study on reduction of administrative burdens on physicians. Ministry of Health, Labour and Welfare. https://www.mhlw.go.jp/stf/shingi/2r9852000002djkw-att/2r9852000002djt0.pdf. Accessed 24 July 2017.

  4. Moberley S, Holden J, Tatham DP, Andrews RM. Vaccines for preventing pneumococcal infection in adults. Cochrane Database Syst Rev. 2013;1:CD000422.

    Google Scholar 

  5. Suzuki M, Dhoubhadel BG, Ishifuji T, Yasunami M, Yaegashi M, Asoh N, et al. Adult Pneumonia Study Group-Japan (APSG-J). Serotype-specific effectiveness of 23-valent pneumococcal polysaccharide vaccine against pneumococcal pneumonia in adults aged 65 years or older: a multi-center, prospective, test-negative design study. Lancet Infect Dis. 2017;17(3):313.

    Article  PubMed  CAS  Google Scholar 

  6. Ranking leading causes of deaths, the number of age-specific deaths and age-specific mortality rate (population per 100,000). Ministry of Health, Labour and Welfare. https://www.mhlw.go.jp/toukei/saikin/hw/jinkou/geppo/nengai16/dl/h7.pdf. Accessed 24 July 2017.

  7. Shindo Y, Ito R, Kobayashi D, Ando M, Ichikawa M, Shiraki A, et al. Risk factors for drug-resistant pathogens in community-acquired and healthcare-associated pneumonia. Am J Respir Crit Care Med. 2013;188(8):985–95.

    Article  PubMed  CAS  Google Scholar 

  8. Ishiguro T, Takayanagi N, Yamaguchi S, Yamakawa H, Nakamoto K, Takaku Y, et al. Etiology and factors contributing to the severity and mortality of community-acquired pneumonia. Intern Med. 2013;52(3):317–24.

    Article  PubMed  Google Scholar 

  9. Morimoto K, Suzuki M, Ishifuji T, Abe M, Hamashige N, Aso K, et al. Epidemiology of adult pneumococcal pneumonia. IASR. 2014;10(35):238–9.

    Google Scholar 

  10. Maruyama T, Taguchi O, Niederman MS, Morser J, Kobayashi H, Kobayashi T, et al. Efficacy of 23-valent pneumococcal vaccine in preventing pneumonia and improving survival in nursing home residents: double blind, randomised and placebo controlled trial. BMJ. 2010;340:c1004.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Pneumococcal polysaccharide vaccine for adults. Infectious disease information center of the National Institute of infectious diseases.Oishi K.Workshop on Health Crisis Management. 2012.

  12. Pneumococcal vaccine recommendations. Centers for Disease Control and Prevention. https://www.cdc.gov/vaccines/vpd/pneumo/hcp/recommendations.html. Accessed 25 July 2017.

  13. Takahashi O, Noguchi Y, Rahman M, Shimbo T, Goto M, Matsui K, et al. Influence of family on acceptance of influenza vaccination among Japanese patients. Fam Pract. 2003;20(2):162–6.

    Article  PubMed  Google Scholar 

  14. Ishida T, Kaku S, Kochi S. Questionnaire-based investigation of uterine cervical cancer vaccine usage in our hospital. Gen Dent. 2011;60(1):81–5.

    Google Scholar 

  15. Liu S, Xu E, Liu Y, Xu Y, Wang J, Du J, et al. Factors associated with pneumococcal vaccination among an urban elderly population in China. Hum Vaccin Immunother. 2014;10(10):2994–9.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Kobayashi H, Nakajima Y, Akasaki M. Factors influencing coverage of human papillomavirus (HPV) vaccination: questionnaire survey of local governments in Nara prefecture about the HPV vaccination program and communication campaigns to promote the program. Prog Med. 2012;32:723–59.

    Google Scholar 

  17. Klett-Tammen CJ, Krause G, Seefeld L, Ott JJ. Determinants of tetanus, pneumococcal and influenza vaccination in the elderly: a representative cross-sectional study on knowledge, attitude and practice (KAP). BMC Public Health. 2016;16:121.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Iwashita Y, Takemura S. Factors associated with willingness to undergo vaccination against Haemophilus influenzae type b (Hib). Nihon Koshu Eisei Zasshi. 2010;57(5):381–9.

    PubMed  Google Scholar 

  19. Haesebaert J, Lutringer-Magnin D, Kalecinski J, Barone G, Jacquard AC, Régnier V, et al. French women’s knowledge of and attitudes towards cervical cancer prevention and the acceptability of HPV vaccination among those with 14-18 year old daughters: a quantitative-qualitative study. BMC Public Health. 2012;12:1034.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Izumi M, Manabe E, Yoshioka Y. Relevant factors for undergoing uterine cancer screening and HPV vaccination in female college students. Boseieisei. 2013;54(1):120–9.

    Google Scholar 

  21. Doescher MP, Saver BG, Fiscella K, Franks P. Preventive care. Does continuity count? J Gen Intern Med. 2004;19:632–7.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Kyaw MH, Nguyen-Van-Tam JS, Pearson JCG. Family doctor advice is the main determinant of peumococcal vaccine uptake. J Epidemiol Community Health. 1999;53(9):589–90.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Tohnai S, Hata E. Factors affecting health behavior of the people aged forties: a test of the Health Belief Model. Nihon Koshu Eisei Zasshi. 1994;41(4):362–9.

    PubMed  CAS  Google Scholar 

  24. Janz NK, Maiman LA. The Health Belief Model: a decade later. Health Educ Q. 1984;11(1):1–47.

    Article  PubMed  CAS  Google Scholar 

  25. Health Belief Model. University of Twente. https://www.utwente.nl/en/bms/communication-theories/sorted-by-cluster/Health%20Communication/Health_Belief_Model/. Accessed 28 Feb 2015.

  26. Stephane Champely. Package pwr: Basic Functions for Power Analysis. R package version 1.1.1. https://cran.r-project.org/web/packages/pwr/index.html. Accessed 29 Oct 2012.

  27. Cohen J. A power primer. Psychol Bull. 1992;112(1):155–9.

    Article  PubMed  CAS  Google Scholar 

  28. R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.r-project.org/. 2015.

  29. Stange KC, Jaén CR, Flocke SA, Miller WL, Crabtree BF, Zyzanski SJ. The value of a family physician. J Fam Pract. 1998;46:363–8.

    PubMed  CAS  Google Scholar 

  30. Flocke SA, Stange KC, Goodwin MA. Patient and visit characteristics associated with opportunistic preventive services delivery. J Fam Pract. 1998;47:202–8.

    PubMed  CAS  Google Scholar 

  31. Freeman TR. McWhinney’s textbook of family medicine. 4th ed. New York: Oxford University Press; 2016.

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

    Article  PubMed  CAS  Google Scholar 

  33. Saultz JW. Defining and measuring interpersonal continuity of care. Ann Fam Med. 2003;1:134–43.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Hennen BKE. Continuity of care in family practice, Part 1: Dimensions of continuity. J Fam Pract. 1975;2(5):371.

    PubMed  CAS  Google Scholar 

  35. Stewart M, Brown JB, Weston W, McWhinney IR, McWilliam CL, Freeman T. Patient-centered medicine: transforming the clinical method. 3rd. USA: CRC press; 2013.

  36. Pommerenke F, Dietrich A. Improving and maintaining preventive services. Part 1: applying the patient model. J Fam Pract. 1992;34:86.

    PubMed  CAS  Google Scholar 

  37. Austin PC, Tu JV, Alter DA. Comparing hierarchical modeling with traditional logistic regression analysis among patients hospitalized with acute myocardial infarction: should we be analyzing cardiovascular outcomes data differently? Am Heart J. 2003;145:27–35.

    Article  PubMed  Google Scholar 

  38. Sugino Y, Kondo Y, Kato S, Matsuura A, Sanda R, Kimura M, et al. Analysis of yearly changes in the number of adults in our hospital receiving 23-valent pneumococcal vaccine. Toyota Iho. 2016;26:86–89.

  39. Hung DY, Rundall TG, Crabtree BF, Tallia AF, Cohen DJ, Halpin HA. Influence of primary care practice and provider attributes on preventive service delivery. Am J Prev Med. 2006;30:413–22.

    Article  PubMed  Google Scholar 

  40. Crawford AG, Sikirica V, Goldfarb N, Popiel RG, Patel M, Wang C, et al. Interactive voice response reminder effects on preventive service utilization. Am J Med Qual. 2005;20:329–36.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank Crabtree BF, PhD, Fetters MD, MD, MPH, MA, Oki Y, MD, PhD、medical staff of Kikugawa family medicine center and all of the participants in the study

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Authors

Contributions

MH conceptualized the study, conducted data collection and interpreted the data. KN supported developing the study and interpreting the data. TG participated in data analysis. MI supported study development and data analysis. All authors were involved in writing the manuscript and took responsibility for the integrity of the data and accuracy of the analysis. All authors read and approved the final manuscript.

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Correspondence to Mariko Higuchi.

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Authors’ information

MH was a resident of Shizuoka Family Medicine Residency and KN was assistant professor of the Department of Obstetrics, Gynecology and Family Medicine, Hamamatsu University School of Medicine when conducting the study.

MH, MD

KN, MD, MPH

TG, MPharm

IM, MD, MPH, PhD

Ethics approval and consent to participate

This study was approved by the Research Ethics Committee of Kikugawa Municipal General Hospital, Japan (approval number 94, 2013). The permission and approval to the study were obtained from the clinic where the study was conducted. Written informed consent was obtained from all participants prior to the study.

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Not applicabl

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The authors declare that they have no competing interests.

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Additional file

Additional file 1:

Paper-based Questionnaire. The questionnaire was paper-based and comprised of a total of 22 items, including Health Belief Model related questions, socio-demographic information and multiple choices of reasons for reluctance to get vaccinated. (DOCX 18 kb)

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Higuchi, M., Narumoto, K., Goto, T. et al. Correlation between family physician’s direct advice and pneumococcal vaccination intention and behavior among the elderly in Japan: a cross-sectional study. BMC Fam Pract 19, 153 (2018). https://0-doi-org.brum.beds.ac.uk/10.1186/s12875-018-0841-3

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