Background
Study context and objectives
Urban and rural/remote communities differ in their utilization of medical care. Specifically, health care values are generally considered to be more pronounced in urban areas than in rural areas [
1‐
13]. For example, Sewo
et al. [
14] have reported a higher total mean score for the quality of life (QOL) among urban residents compared with those in rural areas. However, Yiengprugsawan
et al. [
15] found that Thai Mental Health Indicators (TMHIs) of cohorts in urban and rural areas in Thailand did not differ significantly from each other. Thus, previous studies have found that health care values do not differ between Thai urban and rural areas, with some indicating that a higher value is placed on these values in rural areas [
16‐
18].
Consequently, we conducted interviews and a qualitative investigation and analysis aimed at elucidating ideals relating to the medical environment among Thai urban and rural citizens. The insights and findings gained in the context of Thailand will, we hope, contribute to resolving worldwide inequity in health care.
Study setting
The Kingdom of Thailand is situated in continental Southeast Asia (just north of the equator) and is part of the Indo–China Peninsula. Thailand covers an area of about 514,000 km
2. Between its furthest points, from north to south, the distance is 1,860 km. The country comprises 76 provinces, with mountainous terrain and basins in the north and a fertile delta area around the Chao Phraya River in the central region. The southern region is surrounded by the South China Sea and the Indian Ocean. The Thai ethnic group is dominant in the country, with most citizens being Buddhist [
19]. Approximately 40 % of Thai citizens are engaged in agriculture, which accounts for just 12 % of the GDP. Moreover, approximately 15 % of citizens are engaged in manufacturing, which accounts for 34 % of the GDP and nearly 90 % of exports [
20]. Thailand’s population comprises 64 million people. The ratio of doctors to the total population is approximately 0.32 for every 1000 people—approximately one-tenth of the average of OECD countries, that is, 3.3 per 1000 people. Further, more than 100,000 professional nurses contribute to primary health care. Approximately one million health care volunteers, who have undergone training, constitute additional medical personnel, mainly in farming villages. Thailand’s citizens as well as medical personnel are highly concentrated in the capital, Bangkok, whereas medical care personnel are scarce in other areas. Thus, in 2009, while there were 1.77 doctors for every 1,000 people in Bangkok, the corresponding figure for the country’s northeastern region was just 0.35 doctors for every 1,000 people. Similarly, the population/bed ratio in Bangkok was 312 and that of the northeast region was 779. The ratio of medical devices such as CT and MRI machines evidenced the same regional difference. Although the average lifespan in the country was 71.7 years from 2005 to 2010, the morbidity rates for urban and rural regions differed. Provinces with ample health resources (low population/doctor and population/bed ratios) had higher medical facility utilization rates. Additionally, these indices evidenced a clear bias in relation to rusticity in each region [
19].
For this study, we selected the city of Khon Kaen, located in Khon Kaen Province in northeastern Thailand as the urban area, and Donyang village, located in the same province, as its rural counterpart. Khon Kaen has a population of approximately 120,000 people, making it one of the largest cities in northeastern Thailand. The city is located at the intersection of two important Southeast Asian transportation routes, namely, an east–west route linking Myanmar and Vietnam and a north–south route linking Bangkok and Laos. Donyang village has a population of 2,600 people, mostly engaged in agriculture. It is located approximately 15 km from the outskirts of Khon Kaen, and can be accessed by car from this city in approximately 30 minutes. There is no hospital in Donyang village; only a primary care clinic staffed by a doctor, who is only available on Mondays, and community nurses who are available on other days.
In 2001, Thailand launched a national health insurance program to provide universal health insurance coverage, popularly known as “30-baht health care” (health insurance with 30 baht deductible for every consultation or for hospitalization). More than 90 % of Thai citizens are enrolled in health insurance [
21]. While socioeconomic disparities exist in both urban and rural areas [
22], under the universal health insurance coverage scheme, primary health care access among socioeconomically disadvantaged individuals has improved dramatically [
23].
Methods
Participants
The current study targeted residents of urban and rural areas of Thailand, namely, the city of Khon Kaen and Donyang village. We contacted nurses engaged in health management in the village, explaining the general purpose of the study to them in advance and informing them of the interview date. On the day of the interview, we read out a document to the gathered participants that explained the study’s purpose and significance, its methods, duration, how participants were selected, logistical considerations, and publication venue. This document was then shared with them. We confirmed their agreement to participate in the study, using a written informed consent form, before conducting the interviews.
Data collection
In July 2014, we conducted semi-structured interviews with the participants. All interviews were conducted with the facilitation of a local interpreter. To ensure consistency of interview content, smooth progression of the interviews, and collection of nonverbal sensory information, interviews were only conducted by the primary researcher using the same interpreter. We applied the interview guide, shown in Table
1. This was successfully used in a similar study conducted in Japan to clarify medical care ideals [
24].
1 | Out of all the medical care that you, your family, or acquaintances have received to date, what sort of medical care would you describe as “good” medical care? Why do you think it was good? |
2 | Conversely, what sort of medical care would you describe as “not good”? Why? |
3 | Do you think that the medical care you get in your own community is better than that in other communities? Do you think it is worse? What sort of communities do you think have worse medical care, and which do you think have better? Why do you think this? |
4 | What sort of medical care would you consider to be ideal for you? |
Group interviews involving two to three people were conducted. These were considered as separate interviews if the group members changed. In accordance with the memos, and any other relevant information obtained such as “medical experiences affected attitude to medical care ideals,” we added interviewees who had undergone medical admission for our theoretical sampling. The interviews were held at public locations such as meeting halls and temples, or at participants’ homes. They were recorded with a digital recorder, and transcripts were produced based on the interpreter’s statements. Moreover, during the interviews, the appearance, attitude, and general impression obtained of each participant were recorded, and these were used for analyzing nonverbal data. We analyzed the interviews, by date, in chronological order. The participants could leave after we had confirmed that theoretical saturation had been reached in each area and that no new ideas could be obtained.
Data analysis
The grounded theory research approach emphasizes inductive analysis. Deduction, which is the usual form of analytic thinking applied in medical research, proceeds from the general to the particular. It begins with pre-existing hypotheses or theories, and entails data collection aimed at testing these theories. Conversely, induction proceeds from the particular to the general, and entails the development of new theories or hypotheses based on many observations. The emphasis on induction within studies that apply grounded theory means that they tend to adopt a very open approach regarding the process being studied. A study based on grounded theory may evolve as the researchers become aware of what the study participants consider to be important [
25]. For this study, we applied a Constructivist Grounded Theory (CGT) approach [
26]. Grounded theory is a qualitative method of analysis proposed and developed by Glaser and Strauss [
27‐
29]. Grounded theory does not adequately attend to the process of data production because of its prior objectivist empirical tradition. By contrast, data and analysis relating to the modified CGT approach formulated by Charmaz [
30] focus on phenomena associated with research subjects, as constructed through experiences and relationships forged with researchers. The CGT approach assumes that data and theories are neither emergent nor discovered. Rather, they are mutually “constructed” by the researcher and the research participant. It emphasizes the importance of studying the extent to which the research subjects’ experiences are embedded in concepts that are less likely to surface such as positional networks, situations, and relationships. CGT has been recommended as an appropriate method for situations wherein researchers wish to understand the true feelings of participants in a variety of situations. It is best suited to addressing research questions that explore the complexities of cross-cultural issues and the abstract nature of the global mindset concept, along with the meanings assigned by participants to these issues as they frame them within the contexts of their own lives [
31].
Based on the experiences, feelings, and attitudes of individual research participants, we elicited the elements of ideal medical care. We subsequently arranged these within storylines; repeated initial and focused coding, as well as sampling for each of the two areas; and elaborated on themes based on impressions, information, and memos obtained from the interviews. Analyses were performed for the new themes while repeatedly revisiting the original data and themes. Based on a focused consideration of data from one region, or alternatively, a consideration of data from another region, characteristic themes for the entire region were established for the theoretical coding. As the overall flow of the interviews and non-verbal information were required to accomplish this, a consistent approach was ensured through the performance of the analysis by just the primary researcher. The MAXQDA v.10 software (
www.maxqda.com) was used to perform the analysis. MAXQDA is a convenient software package for conducting qualitative analysis of transcript data, enabling the aggregation of code frequency, data analysis by code segments and the creation of code matrices.
Ethical approval
Ethical approval for this study was granted by the Ethics Committees, Faculty of Medical Sciences, University of Fukui (Ethics Hearing —26-56).
Discussion
Previous studies have generally indicated that there are disparities in accessibility and utilization of medical care between urban and rural areas [
7‐
13]. Some studies have reported that there are variations in the medical environment between urban and rural areas in Thailand [
23,
32‐
34]. We, therefore, investigated why, in contrast to these findings, our study did not find any difference between urban and rural areas in terms of medical care ideals held by their residents. One unique aspect of the identity lies in the lack of ideals relating to medical skills and procedures. Rather than desiring advanced medical technology, Thai citizens appear to prefer a healthy lifestyle that is not dependent upon medical services. Citizens emphasized their lifestyles in their areas over the nature of medical care in relation to themes such as
support for local lifestyles,
satisfaction with local medical personnel, and
desire for regional autonomy/desire to serve the region in terms of medical care. In fact, they may not have understood the benefits of advanced medical care, as indicated by the following statement by Participant Rural05: “I don’t know what kind of services they provide at hospitals.” This view appears to be endorsed by Miedema, Easley, and Robinson based on their interviews of cancer patients in urban and rural areas [
35]. These demonstrated the high expectations of urban residents relating to medical care and, conversely, the low expectations of residents of remote areas relating to such care, influencing their degree of satisfaction [
35]. However, the reason for this finding was revealed through another theme examined in this study, namely,
desire for regional autonomy/desire to serve the region in terms of medical care. As stated by Participant Urban07: “All the citizens in the area are related [one family].” There is a strong sense within the community of being a family, and in the past, this family was responsible for health care functions. Thus, the scope of existing criteria such as QOL for evaluating medical care appears to be limited. Martin
et al. observed that QOL in Khon Kaen was strongly influenced by family, money, accommodation, and employment, in addition to health [
36]. Yiengprugsawan
et al. noted that in Thailand, the three most influential factors relating to happiness were the standard of living, future security, and life achievement [
19]. In addition, Jongudomkarn and Camfield found that there were limitations relating to the quantitative measurement of the quality of health care using QOL, because Thai citizens emphasize basic criteria such as significant primary relationships [
37]. This could explain the possible occurrence of shared ideals when citizens feel a sense of belonging, despite differences between urban and rural areas. Because basic criteria emphasized by Thai citizens, as identified in this study, can be explained by defining health literacy in terms of a family/society network, and health information [
38], we feel that these are appropriate for the result of the current study.
Additionally, the findings of several previous studies match those of this study. Unlike in other countries, there is no difference in the physical health and happiness of urban and rural residents in Thailand [
18]. Large-scale cohort studies have found no differences in the happiness of urban and rural residents in Thailand [
15]. This explains the lack of differences in criteria for evaluating medical services, even though medical environments differ in Thailand. We should not, therefore, conclude that evaluations of medical services and views on medical care change based on accessibility and use of medical resources in Thailand.
This study had a number of limitations. First, the participants were not randomly sampled. Consequently, there may have been imbalances in relation to sex, age, academic history, income, and medical history among them. They cannot, therefore, be generalized. Sobieszczyk
et al. have affirmed that no major differences exist regarding gender and well being among elderly people in Thailand [
39]. By contrast, Sumngern
et al. noted that there was a significant difference in the happiness of elderly people in urban and rural areas within the Thai province of Chonburi [
40]. Additionally, Coronini-Cronberg
et al. observed that even in an extremely impoverished area like Khon Kaen, health care was well-used [
21], while Mordacci and Sobel found that personal views on health and medical history often influenced ideas and cultures on health [
41]. However, the findings of these studies are not consistent, and we believe that our study appropriately reveals one aspect of healthcare in Thailand.
While this study targeted the areas of Khon Kaen and a nearby rural village, there is no evidence to support generalization of its findings as being representative of urban and rural areas across Thailand. Findings for provinces other than Khon Kaen may differ. Regional unity, accessibility, and use of health care facilities, would likely differ in a metropolitan area such as Bangkok, which has more migrants than Khon Kaen city, and in communities that are more rural in character than Donyang village, thus yielding different results. Future research will, therefore, need to gather data from a more diverse range of regions.
Acknowledgment
This work was supported by the Ministry of Education, Culture, Sports, Science and Technology and the University of Fukui under the “Center of Community (COC)” program (2014).
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
TI carried out the interviews, mainly analyzed in this study and drafted the manuscript. SY and TT had set monitored the interviews and add Thai and Japanese information about medical systems. TT, HK, KS, YK, HH and HT also analyzed the interview and discussed the result each other. All authors read and approved the final manuscript.
TI: M.D., Ph.D. Senior Assistant Professor of Division of Primary Health Care, Faculty of Medical Sciences, University of Fukui.
SY: Dean of Faculty of Nursing, College of Asian Scholars
TT: Associate Professor of Headquarters for Innovative Society-Academia Cooperation, University of Fukui
TT: M.D., Ph.D. Assistant Professor of Division of Environmental Health, Department of International and Social Medicine, Faculty of Medical Sciences, University of Fukui
HK: M.D., Ph.D. Assistant Professor of Division of Environmental Health, Department of International and Social Medicine, Faculty of Medical Sciences, University of Fukui
KS: M.D., Ph.D. Associate Professor of Division of Environmental Health, Department of International and Social Medicine, Faculty of Medical Sciences, University of Fukui
YK: M.D., Ph.D. Professor of Division of Environmental Health, Department of International and Social Medicine, Faculty of Medical Sciences, University of Fukui
HH: M.D. Professor of Division of General Internal Medicine, Faculty of Medical Sciences, University of Fukui
HT: M.D. Professor of Division of Promotion of Community Medicine, Faculty of Medical Sciences, University of Fukui