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Efforts and systems by local governments to improve participation rates in national and local health and nutrition surveys in Japan: Findings from a workshop 2019–2024

  • Midori Ishikawa ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft

    ishikawa.m.aa@niph.go.jp

    Affiliation Department of Health Promotion, National Institute of Public Health, Saitama, Japan

  • Osamu Hemmi,

    Roles Formal analysis, Investigation, Writing – review & editing

    Affiliation Department of Health Promotion, National Institute of Public Health, Saitama, Japan

  • Yasuyo Wada,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Health Promotion, National Institute of Public Health, Saitama, Japan

  • Kenichi Ohmi,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Health Promotion, National Institute of Public Health, Saitama, Japan

  • Yuichi Ando,

    Roles Investigation, Writing – review & editing

    Affiliation National Institute of Public Health, Saitama, Japan

  • Hidemi Takimoto,

    Roles Writing – review & editing

    Affiliation National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan

  • Tetsuji Yokoyama

    Roles Formal analysis, Investigation, Supervision, Writing – review & editing

    Affiliation Department of Health Promotion, National Institute of Public Health, Saitama, Japan

Abstract

The Japanese National Health and Nutrition Survey and local health and nutrition surveys have been used to monitor the effects of health promotion policies in Japan. However, participation rates are declining, affecting overall results. Since 2019, we have held workshops to share the efforts of local governments responsible for the survey to improve participation rates, but we have not included systems for survey implementation. Therefore, this study elucidated the efforts and systems through workshops. In 2024, 26 employees of local governments participated in the workshop using the methods developed in a previous study. The participants were divided into five groups to discuss current problems and potentially effective efforts and systems by local governments to improve participation rates. The researchers then analyzed results from the workshop, coded similar contents, and categorized similar codes and integrated them into one. These were organized into three steps (preparation for the survey, distribution and collection of the questionnaires, and following the collection of the questionnaires) for implementing surveys. The study identified that “preparation for a survey” required efforts such as “disseminating information to participants using various channels,” including “handling of the personal information of respondents.” In local structure for survey, they mentioned “cooperation with key persons such as the president of residents’ association.” For “the distribution and collection of questionnaires,” the efforts included “selecting response methods convenient for the subjects.” The systems for implementing surveys included “organization of teams composed of experienced investigators and development of members in research skills” and “specific interview practice and simulation.” For “after the collection of questionnaires,” they pointed to “holding a response standardization meeting,” and “formulating guidelines and raising awareness based on results” as efforts. From these results, the potentially effective efforts and systems for improving participation rates in the national and local health nutrition surveys conducted by local governments were elucidated.

Introduction

National Health and Nutrition Survey in Japan (NHNS_J) was started in 1945 after World War II to assess the nutritional status and eating habits of Japanese people [1]. Since then, the Ministry of Health, Labor and Welfare (previously, Ministry of Health and Welfare) has conducted annually this survey, and the high participation rate has ensured the reliability of the results. As such, data from the NHNS_J have been used for the formulation and monitoring of national health promotion policies.

NHNS_J consists of The Nutritional Intake Status Survey, The Physical Status Questionnaire, and The Lifestyle Habits Questionnaire, administered to assess and monitor the physical condition, nutrient intake, and lifestyle of citizens based on the Health Promotion Act (Act No. 103; enacted in 2002), and to obtain basic data for the comprehensive promotion of health [2,3]. It includes surveys on nutritional intake status (home visit), physical status (with a specific venue for the physical measurements of height, body weight, abdominal circumference, and blood pressure followed by blood testing and a medical interview), and lifestyle habits (home visit or online) [2].

The field surveys of NHNS_J are conducted by public health centers established in all 47 prefectures and 105 cities or special wards with public health centers [3]. The local governments utilize the results of the NHNS_J for their health and nutrition policy planning, monitoring or conduct surveys that increased the sample size by adding areas covered by the NHNS_J. Further, some local governments may conduct their surveys, but the NHNS_J are often referred to for their analysis and results.

In recent years, however, participation rates in the NHNS_J have been declining [4,5], which is affecting the overall results [6]. Out of the three abovementioned surveys of NHNS_J, the survey on physical condition, which includes blood testing, has the lowest rate [5]. In addition, the previous study has shown the participation rate is lower for men than for women, and lower among young adults, especially those aged less than 50 years (20s–40s) compared with those aged more than 50 years [4]. Although this decline is taking place nationwide, the rate of decline varies by region [4]. The Ministry of Health, Labor and Welfare (MHLW) requests cooperation from the public [7], but increasing the cooperation rate is difficult.

In the background of this decline, it may be due to the diversification in lifestyle such as a decrease in large family households, an increase in single-person households, and an increase in the number of people living in apartment complex instead of detached houses [8,9].

The decline in participation in national surveys is likewise a major concern in several countries including Japan [1012]; it seems related to ethnic, linguistic, or regional differences in some cases [13,14]. It should also be noted that the COVID-19 pandemic accelerated the difficulty of data collection [15]. Low or decreasing participation rate threatens the representativeness of the population in the survey data, which severely affects the generalizability of findings and the accuracy of the estimations. Approaches for enhancing the nationally representative surveys are urgently required [15,16]. Therefore, identifying strategies to increase participation rates is necessary to ensure that the data are representative of the population [17,18].

MHLW has been considering survey methods that suit the lifestyles of regions and people, and the videos related to the research methods have been released to people [19,20]. The National Institute of Health and Nutrition, which is responsible for the data tabulation of the NHNS_J, provides useful tools and information for surveys [21]. However, the participation rate continues to gradually decrease.

This declining is also an issue for local governments which utilize the survey results. Thus, public health centers responsible for conducting the survey need to consider the efforts and systems for improving participation rates.

National Institute of Public Health (NIPH) in Japan is conducting a short-term training course called “Training on techniques for monitoring and analyzing the progress of health promotion plans using health and nutrition surveys” for the personnel of local governments [22,23]. The main objective of this training is to develop the ability of local government personnel to learn survey methodologies and to acquire data analysis and utilization techniques for the health promotion plans of local governments [22].

In this training course, workshops have been held annually since 2019 to improve participation rates of the survey. Even before that, the improvement of participation rates in surveys as a need of training course had been cited from participants. We informally interviewed local government employees in charge of NHNS_J to identify their concerns and found that several local governments were “trying to improve the participation rate by being creative despite the concerns” and had “some efforts that have been successfully implemented for improving the participation rate.” However, there was no opportunity to share these efforts between local governments at that time. Therefore, we decided to conduct a workshop to enable them to share their experiences. Drafts of the methods and workshop procedures were developed by staff members drawing on their own past experiences as training staff. When we conducted the first workshop in 2019, it was well received by participants; thus, it was continued, and the methods and procedures of the workshop were improved every year considering the impressions and opinions of the participants. These results were reported in a previous study [24].

In recent years, however, COVID-19 led to the forced cancellation of multiple surveys, including the NHNS_J and other health and nutrition surveys [25], such that the need to consider the survey system in addition to efforts for improving participation rates is needed. We conducted workshops to share efforts by local governments to improve participation rates, but did not focus on systems for survey implementation. Therefore, this study identified effective efforts and systems implemented by local governments to improve participation rates in national and local health and nutrition surveys in Japan.

Methods

1. Subjects and procedure

The subjects were health personnel, including registered dietitians and public health nurses, who worked in local governments and participated in the training course at the NIPH. First, the objectives and curriculum of the training were presented on the NIPH website, and a training course pamphlet was mailed to all eligible local governments (47 prefectures, and 105 cities or special wards with public health centers).

The pamphlet announced that the training would be held for four days in February 2024, and a workshop on the participation rate of NHNS_J was included on the second day [22]. After the public call for the applications from November 1 to 30, 2023, twenty-five local governments expressed interest in and registered to attend the training. We then sent a request letter that included the objective of this study and a semi-structured questionnaire to the headquarters of each local government. All 26 personnel from 25 local governments agreed to cooperate, and the researchers obtained written informed consent from all participants. This means that all participants in the training course participated in the workshop.

The items of the semi-structured questionnaire were included “What are the problems (points that need improvement) that seem to be affecting participation rates in health and nutrition surveys?” and “What efforts and systems (points that are effective/ineffective) are being taken to improve participation rates in surveys?” Furthermore, the health personnel were asked about their qualifications (e.g., registered dietitian or public health nurse) and years of administrative experience.

2. Workshop on efforts and systems for improving participation rates in surveys

2.1 Procedure of the workshop.

Table 1 showed the process in which the workshop of this study was conducted. First, the first author conducted a lecture on the issue of participation rates in the NHNS_J [35,10], including the results of previous workshops [24] and the objective of the current workshop (30 min). Afterward, the training staffs served as facilitators and held a workshop (120 min) on efforts and systems for improving participation rates in surveys.

The details are as follows. A total of 26 persons were divided into five groups (one group is composed of five to six people). From the perspective of the abovementioned objective and based on the responses to the semi-structured questionnaire, each participant wrote down the current problems (points that need improvement) and the efforts and systems had implemented in their local governments (points that are effective/ineffective) on sticky notes. They then shared them with group members.

At this time, the first author explained and laid out the following rules to ensure that everyone understood and shared the information correctly: (i) write down one issue (event) per sentence, (ii) clearly indicate the subject, (ⅲ) provide specific details, (iv) point out problems and efforts and systems as your understanding, and (v) write as clearly as possible to ensure that others will understand.

Table 2 shows the matrix format of the topics addressed. The items written by each participant were placed in the appropriate place in a 2 × 2 format (points that are effective/ineffective × points that can/cannot be controlled) using this format. Items with the exact same meaning as others were considered one item. The principles that underlie this session were to acknowledge the opinions expressed by others, to accept all opinions, and to encourage the participation of all members.

All contents were then organized within the group, which were focused on points that were effective and points that can be controlled. Similar contents were coded, categorized, assigned names, and organized.

2.2 Results of previous workshops.

In previous workshop [24], survey staff from public health centers demonstrated how they elicit survey participation using creative approaches in response to the state of residents in the target areas and households, such as family structure of household or working situation. Moreover, the workshops highlighted the importance of standardizing the survey methods because it would ensure the skills of investigators, methods for eliciting survey participation, and rewards/incentives to improve participation rates [24].

2.3 Study periods.

The workshop was held on February 6, 2024 in the course “Training on techniques for monitoring and analyzing the progress of health promotion plans using health and nutrition surveys.”

2.4 Consensus processes in the working groups during the workshop.

Each person wrote their efforts and systems on a sticky note, and two people had written the exact same thing in only rare cases. However, since there were some similar contents, each person explained their idea in more detail, providing the background of what they had written on the sticky note to the other members of the group. Then, the efforts and systems were divided into those that were expected to be effective in increasing participation rates and those that were unlikely to be effective, based on local experiences from previous surveys, by the discussion of the participants in the group. Next, drawing on all of this information, focusing on items that were expected to be effective in increasing participation rates, all of the sticky notes that were judged to be similar contents were grouped together from which categories were made, and titles were given to each category. This organization of each system into category and titled category was repeated several times until everyone was in agreement [24].

2.5 Ethical considerations.

This study was conducted in accordance with the guidelines laid down in the Declaration of Helsinki, and all procedures involving research study participants were approved by the Ethics Committee of the National Institute of Public Health, Wako, Saitama, Japan (NIPH-IBRA#23023, November 30, 2023).

Prior to the workshop, the researchers informed the local governments and participants of their rights during the study as follows. (1) if they feel physical or mental pain, or if they do not wish to participate or respond, they may withdraw from the study at any time; (2) declining to participate in the training will pose no disadvantage.

However, all participants re-agreed to participate in the research before, during, and after the workshop. All collected documents and personal information were protected by a password, including the data. All information and data were kept confidential. Data were stored in a locked laboratory at the organization to which the researchers belonged, who used computer that required a password log-in to access data.

3. Analysis of workshop results

3.1 Statistical analysis of characteristics of participants and their local governments.

Based on the semi-structured questionnaire, the characteristics of the participants, including their regional block of local government, age, professional qualifications, and administrative experience were analyzed. Moreover, the demographic characteristics of the participants’ local governments were compared with local governments whose officials did not participate using the Wilcoxon rank sum test. Data on the population of local governments, including age structures, rates of births/deaths, percentage of households by family structure, and life expectancies at birth, were collected from e-Stat, the portal site of official statistics of Japan [26]. All statistical analyses were performed using SAS software, version 9.4 (SAS Institute, Inc., Cary, NC, USA). A p-value of <0.05 was considered statistically significant.

3.2. Analysis of the efforts and systems for improving participation rates in national and local health and nutrition surveys regarding workshop results.

After the training, three researchers firstly digitized the results of all groups and integrated the contents.

The researchers manually performed data integration using the Jiro Kawakita (KJ) method. It is a research method developed by Jiro Kawakita [27,28] to classify described data.

Specifically, it includes the following steps:

Step 1: Read the material produced by the five groups several times to obtain an overall sense of the data. The researchers also carefully read the codes and categories for each group.

Step 2: Group similar codes into categories and assign names to these groups on the basis of the information given by the health personnel of local governments. Even if the categories with a similar meaning, some of them are given different names per group. If this is the case, then the researchers adopted a category name that was the easiest to understand. Finally, the codes and categories produced by the five groups were combined into one table, and the number of groups that used each code and category was written in parentheses after each item.

Step 3: Formulate a consensus of the final results.

Step 4: Position the determined codes and categories to the three steps of the NHNS_J: I. preparation for the survey, II. distribution and collection of questionnaires, and III following the collection of questionnaires.

Results

1. Characteristics of the participants and their local governments

All participants in the training (26 persons) consented to participate in the research and attended all workshop sessions. None refused to participate in the study or failed to complete the training and workshop (the participation rate: 100%).

Table 3 presents the characteristics of the participants, including regional block of local government, age of participants, professional qualification, and administrative experience. The participants were composed of health personnel: 21 from 13 prefectures and 5 from cities or special wards with public health centers. Five persons were from Hokkaido and Tohoku, nine from Kanto I and Kanto II, two from Hokuriku and Tokai, two from Kinki I and Kinki II, four from Chugoku and Shikoku, and four from Kita-Kyushu and Minami-Kyushu. The average age of the participants was 38.5 years. In terms of their backgrounds, 24 were registered dietitians, and 2 were public health nurses. The average of years of administrative experience was 11 years and 4 months.

Table 4 presents the characteristics of the local governments that participated in comparison with those local governments that did not participate. Almost no difference was seen between the two groups in terms of population, age structure of the population, number of births/deaths, percentage of households by family structure, or life expectancy at birth.

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Table 4. Comparison of demographic characteristics between municipalities that sent participants and those that did not.

https://doi.org/10.1371/journal.pone.0314798.t004

2. Efforts and systems for improving participation rates in national and local health and nutrition surveys per local government

Based on the result of the analysis of the integrated data, the study identified 5 categories, 16 subcategories and 44 codes.

The categories include (1) Request for the survey participation; (2) Local structure for the survey (key person/organization); (3) Survey implementation; (4) System for survey implementation; and (5) Data input, tabulation, analysis, and utilization.

Fig 1 shows an overview of the results of positioning the categories and codes in the flow of the surveys: preparation for the survey, distribution and collection of questionnaires, and following the collection of the questionnaires.

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Fig 1. Outline of effective efforts and system implemented and potentially effective for improving survey participation rate by local governments.

https://doi.org/10.1371/journal.pone.0314798.g001

Table 5 presents the detailed contents of the efforts and systems for improving participation rates in national and local health and nutrition surveys by local governments. The numbers in parentheses indicate the number of groups and people who identified similar efforts and systems along with the specific details.

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Table 5. Efforts and systems for improving participation rates in national and local health and nutrition surveys as per local government.

https://doi.org/10.1371/journal.pone.0314798.t005

2.1 Preparation for the survey.

2.1.1 For preparation for the survey, the respondents identified “dissemination using circular boards and bulletin boards” and “dissemination using various channels such as media” as efforts that fall under “preparation before requesting survey participation”.

It was pointed out the need for “briefing sessions at a time convenient for the subjects” and “repeating requests to non-cooperating households” as efforts for “request for survey cooperation”.

In terms of survey description, they discussed “explanation of the handling of personal information” and “easy-to-understand explanation of materials”.

2.1.2 For “local structure for the survey (key person/organization),” the consensus was on “explain the survey to the president of the residents’ association and administrative ward mayor, and obtain their cooperation in conducting the survey,” and “request municipal officials to become a member of the survey committee and work together from the plan to evaluation”.

2.2 Distribution and collection of questionnaires.

2.2.1 For “survey implementation,” which is under preparation before implementing survey, the respondents suggested “preparing cell phones and computers for surveys” and “creating an easy-to-answer questionnaire”.

For the dietary survey, they emphasized the “addition of supplementary information in the sheet of dietary records by investigators” and “request to the provision of photos of meals”.

Local governments have also exerted considerable efforts regarding the venue and time of the survey, including “setting venues according to the convenience of subjects” and “setting and disseminating the survey time according to the convenience of the subjects”.

For rewards and incentives, they suggested that rewards should be explained and distributed at the time of the request for a survey and briefing sessions.

In addition, they shared that reward items that are attractive to participants, such as daily necessities (e.g., tissue paper and garbage bags), gift certificates, and the return of the individual results of the dietary survey, are effective.

2.2.2 In terms of systems for survey implementation, they highlighted the importance of the survey team and mentioned “team organization centered on experienced investigators” and “ensure that skills and knowledge are transferred to new investigators and personnel in charge.” To improve investigation skills, they proposed “specific interview practice and simulation” in addition to “sharing information to avoid discrepancies between public health centers”.

2.3 Following the collection of questionnaires.

For data input, tabulation, analysis, and utilization, they suggested to “hire a person to tabulate data through the prefectural Dietitian Association and input data efficiently” and “speed up the publication of results by outsourcing the tabulation and analysis of data”.

Discussion

This study identified the systems implemented (and those that had the potential effectiveness) by local governments seeking to improve participation rates in national and local health and nutrition surveys. Previous workshops elucidated helpful aspects from efforts to increase participation rates but did not focus on systems for survey implementation [24]. The present study has therefore systematically focused on efforts and systems.

Furthermore, the study identified five categories during the flow of the survey as follows: (1) Request for survey participation; (2) Local structure for survey (key person/organization); (3) Survey implementation; (4) System for survey implementation; and (5) Data input, tabulation, analysis, and utilization.

We observed many exchanges of experiences and opinions on the importance of preparing for surveys, how to request a survey, and local structure (key persons and organizations). In this way, we considered what kind of initiatives would be effective. For example, we identified effective efforts that informed the target area and households with circular boards, bulletin boards, and multiple channels before requesting cooperation in the survey; afterward, briefing sessions could be held at convenient times for the subjects.

As a system for promoting these efforts, one of the respondents showed that the key to improving participation rates was to provide detailed explanations to key persons and organizations in the area and obtain their cooperation in encouraging participation from residents. Thus, it was thought that it would be necessary to consider methods of disseminating information with respect to the survey in areas without a residents’ association.

The National Health and Nutrition Examination Survey in the United States also suggests that conducting visits for requests and interviews for the survey is important for improving participation rate. It described that getting people to understand about the survey during visitations might be related to the decrease in the number of people who subsequently drop out of the surveys [11]. Furthermore, for the 2021–2022 survey, the guiding principles changed to ensure the safety of the survey participants and field staff from the COVID-19 pandemic [29].

In the Danish National Health Survey, a report on participation rates emphasized the importance of increasing the rate of cooperation in surveys [30]. The study pointed out that the cover page of a survey, including the request text, might be as important as the survey and that the content, language, format, and layout might influence nonparticipation [14].

In addition, for effective efforts, the current study raised some points on the importance of the creation of explanatory materials for use during visits to the households of the subjects, such that they can obtain a concrete image of the content of the survey. In doing so, they recommended that the specific details of the incentives for participation should be clearly explained to the subjects such as returning individual results and indicating the details of the reward. MHLW is already working on related initiatives [19,20], but it is necessary to pursue further strengthening of these efforts.

Several previous studies demonstrated that incentives and rewards are related to participation rates in surveys [10,31,32]. They were indicated that providing a reward prior to a survey is significantly effective, which is in line with the results of the current study. Another study suggested that in younger generations, this strategy is more effective for men than for women [33].

Furthermore, the study presents a novel finding, in conducting surveys, the effective structure for implementing the survey is important, along with the specific efforts. In specifically, opinions were also exchanged about forming teams centered on veteran/experienced investigators and devising methods for transferring their skills and knowledge to new investigators from them. They indicated that undergoing training is important for local government staff and investigators, including practical training sessions with role playing and simulation exercises, and that exchanging information is necessary to avoid discrepancies between public health centers within local governments.

This study has several limitations. First, only 26 individuals from 25 local governments participated out of the 157 local governments in Japan. Variations existed in regional characteristics and years of administrative experience among group members. These differences may have influenced individual remarks and group dynamics. However, the results of efforts in this study were almost similar to those observed in workshops conducted from 2019 to 2023 in which 59 local governments participated. In addition, there was hardly any difference between the local governments whose officials were participants and those without participants in terms of population, age structure of population, number of births and deaths, percentage of households by family structure, or life expectancy at birth. Moreover, the current results of the system or structure for conducting surveys cannot be compared with previous ones, because they are a new finding.

Another potential concern is that the qualitative methodology for category formation limits the generalizability of the results to other Japanese prefectures. Nevertheless, these findings provide a basis for future quantitative investigations. Additionally, this study confirms that, similar to a previous study [24], local government officials are interested in improving participation rates and quality of responses at the same time.

The efforts and systems identified by the current study will be applied to training materials used in training sessions for local governmental personnel in charge of surveys at the NIPH. Furthermore, in the local governments, it will be used for their actions toward the improvement of participation rates in surveys.

Conclusion

This study identified the efforts and systems which were implemented and potentially effective by local government during the process of surveys to improve participation rates in national and local health and nutrition surveys.

References

  1. 1. Okada C, Takimoto H. The national health and nutrition survey in Japan: 75 years of history. Jpn J Nutr Diet. 2020;78: S5–S15.
  2. 2. National Institutes of Biomedical Innovation, Health and Nutrition. Outline of the national health and nutrition Survey (NHNS) Japan. 2012 [cited June 27 2024]. Available from: https://www.nibiohn.go.jp/eiken/english/research/pdf/nhns2012.pdf.
  3. 3. Ministry of Health, Labour and Welfare, Japan. Report of the national health and nutrition survey in Japan. 2019 [cited June 27 2024]. Available from: https://www.mhlw.go.jp/content/001066903.pdf. Japanese.
  4. 4. Ishikawa M, Hemmi O, Takimoto H, Matsumoto M, Yokoyama T. Trend of estimated participation rate by regional block, gender, and age group in the 1997–2019: National health and nutrition survey in Japan. PLOS ONE. 2024;19: e0286169. pmid:38478512
  5. 5. Nishi N, Nakade M, Sarukura K, Nozue M, Tsubota M, Miyoshi M, et al. Participation rate and related factors of National health and nutrition survey. Kousei Shihyo. 2012;59: 10–15. Japanese.
  6. 6. Nishi N, Yoshizawa T, Okuda N. Effects of rapid aging and lower participation rate among younger adults on the short-term trend of physical activity in the National Health and Nutrition Survey, Japan. Geriatr Gerontol Int. 2017;17: 1677–1682. pmid:28060460
  7. 7. Ministry of Health, Labour and Welfare, Japan. Request for participation in the 2022 National Health and Nutrition Survey. 2022 [cited June 27 2024]. Available from: https://www.mhlw.go.jp/stf/newpage_18598.html. Japanese.
  8. 8. Ministry of Health, Labour and Welfare. Comprehensive survey of living conditions. [cited June 27 2024]. Available from: https://www.mhlw.go.jp/english/database/db-hss/cslc-index.html. Japanese.
  9. 9. Ronald R, Druta O, Godzik M. Japan’s urban singles: Negotiating alternatives to family households and standard housing pathways. Urban Geogr. 2018;39: 1018–1040.
  10. 10. Sammut R, Griscti O, Norman IJ. Strategies to improve response rates to web surveys: A literature review. Int J Nurs Stud. 2021;123: 104058. pmid:34454334
  11. 11. McQuillan G, Kruszon-Moran D, Di H, Schaar D, Lukacs S, Fakhouri T, et al. Assessing consent for and response to health survey components in an era of falling response rates: National health and nutrition examination survey, 2011–2018. Surv Res Methods. 2021;15: 257–268. pmid:37201135
  12. 12. Harrison S, Henderson J, Alderdice F, Quigley MA. Methods to increase response rates to a population-based maternity survey: A comparison of two pilot studies. BMC Med Res Methodol. 2019;19: 65. pmid:30894130
  13. 13. Ahlmark N, Algren MH, Holmberg T, Norredam ML, Nielsen SS, Blom AB, et al. Survey nonresponse among ethnic minorities in a national health survey: A mixed-method study of participation, barriers, and potentials. Ethn Health. 2015;20: 611–632. pmid:25411892
  14. 14. Christensen AI, Lau CJ, Kristensen PL, Johnsen SB, Wingstrand A, Friis K, et al. The Danish National health survey: Study design, response rate and respondent characteristics in 2010, 2013 and 2017. Scand J Public Health. 2022;50: 180–188. pmid:33161874
  15. 15. West BT, Zhang S, Wagner J, Gatward R, Saw H-W, Axinn WG. Methods for improving participation rates in national self-administered web/mail surveys: Evidence from the United States. PLOS ONE. 2023;18: e0289695. pmid:37540678
  16. 16. Dubuisson C, Dufour A, Carrillo S, Drouillet-Pinard P, Havard S, Volatier JL. The third French Individual and National Food Consumption (INCA3) Survey 2014–2015: Method, design and participation rate in the framework of a European harmonization process. Public Health Nutr. 2019;22: 584–600. pmid:30394264
  17. 17. Galea S, Tracy M. Participation rates in epidemiologic studies. Ann Epidemiol. 2007;17: 643–653. pmid:17553702
  18. 18. Tolonen H, Dobson A, Kulathinal S, WHO MONICA Project. Effect on trend estimates of the difference between survey respondents and non-respondents: Results from 27 populations in the WHO MONICA Project. Eur J Epidemiol. 2005;20: 887–898.
  19. 19. Ministry of Health, Labour and Welfare. What is the national health and nutrition survey? [cited June 27 2024]. Available from: https://www.youtube.com/watch?v=uLAEWs2_ISs. Japanese.
  20. 20. Ministry of Health, Labour and Welfare. How to record what you eat for breakfast, lunch, dinner, and snacks, Nutritional Intake Status Survey. [cited June 27 2024]. Available from: https://www.youtube.com/watch?v=DUA5QqZfDvs. Japanese.
  21. 21. National Institutes of Biomedical Innovation, Health and Nutrition. Information page regarding health and nutrition surveys National Health and Nutrition Survey Technical Training Seminar Materials. 2020. [cited June 27 2024]. Available from: https://www.nibiohn.go.jp/eiken/chosa/kenkoeiyo.html. Japanese.
  22. 22. National Institute of Public Health, Japan. Overview. [cited June 27 2024]. Available from: https://www.niph.go.jp/en/information-en/. Japanese.
  23. 23. Ishikawa M, Yokoyama T, Sone T. Historical transition of the National Institute of Public Health’s contribution to nutrition policy in Japan. J Natl Inst Public Health. 2021;70: 28–44.
  24. 24. Ishikawa M, Yokoyama T, Takimoto H. Possible measures to improve both participation and response quality in Japan’s National Health and Nutrition Survey: Results from a workshop by local government personnel in charge of the survey. Nutrients. 2022;14: 3906. pmid:36235557
  25. 25. Ministry of Health, Labour and Welfare. National health and nutrition survey. [cited June 27 2024]. Available from: https://www.mhlw.go.jp/bunya/kenkou/kenkou_eiyou_chousa.html. Japanese.
  26. 26. Statistics Bureau. Ministry of Internal Affairs and Communications. Statistical observations of municipalities. 2024. [cited August 29 2024]. Available from: https://www.stat.go.jp/data/s-sugata/index.html. Japanese.
  27. 27. Kawakita J. KJ method, Hasso Hou idea generation method. Tokyo: Chuokoron-Shinsha, Inc.; 1967. Japanese.
  28. 28. Iba T, Yoshikawa A, Munakata K. Philosophy and methodology of clustering in pattern mining: Japanese anthropologist Jiro Kawakita’s KJ method. In: Proceedings of the 24th Conference on Pattern Languages of Program. Vancouver: The Hillside Group; 2017. pp. 1–11.
  29. 29. Paulose-Ram R, Graber JE, Woodwell D, Ahluwalia N. The National Health and Nutrition Examination Survey (NHANES), 2021–2022: Adapting data collection in a COVID-19 environment. Am J Public Health. 2021;111: 2149–2156. pmid:34878854
  30. 30. Jensen HAR, Ekholm O, Davidsen M, Christensen AI. The Danish Health and Morbidity Surveys: Study design and participant characteristics. BMC Med Res Methodol. 2019;19: 91. pmid:31053088
  31. 31. Abdelazeem B, Hamdallah A, Rizk MA, Abbas KS, El-Shahat NA, Manasrah N, et al. Does usage of monetary incentive impact the involvement in surveys? A systematic review and meta-analysis of 46 randomized controlled trials. PLOS ONE. 2023;18: e0279128. pmid:36649255
  32. 32. Agarwal A, Raad D, Kairouz V, Fudyma J, Curtis AB, Schünemann HJ, et al. The effect of a monetary incentive for administrative assistants on the survey response rate: A randomized controlled trial. BMC Med Res Methodol. 2016;16: 94. pmid:27495186
  33. 33. Pejtersen JH. The effect of monetary incentive on survey response for vulnerable children and youths: A randomized controlled trial. PLOS ONE. 2020;15: e0233025. pmid:32396564