Next Article in Journal
A Korean Nationwide Cross-Sectional Study Investigating Risk Factors, Prevalence, and Characteristics of Sarcopenia in Men in Early Old Age
Previous Article in Journal
RETRACTED: Yosep et al. Cognitive Behavior Therapy by Nurses in Reducing Symptoms of Post-Traumatic Stress Disorder on Children as Victims of Violence: A Scoping Review. Healthcare 2023, 11, 407
Previous Article in Special Issue
Nurses’ Awareness of and Current Approaches to Oral Care in a Community Hospital in Japan: A Longitudinal Study of Dental Specialists’ Interventions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Development and Validation of Oral Health-Related Quality of Life Scale for Patients Undergoing Endodontic Treatment (OHQE) for Irreversible Pulpitis

by
Fadil Abdillah Arifin
1,2,
Yuhei Matsuda
1 and
Takahiro Kanno
1,*
1
Department of Oral and Maxillofacial Surgery, Shimane University Faculty of Medicine, Izumo 693-8501, Japan
2
Department of Conservative Dentistry, Faculty of Dentistry, Universitas Muslim Indonesia, Makassar 90132, Indonesia
*
Author to whom correspondence should be addressed.
Healthcare 2023, 11(21), 2859; https://doi.org/10.3390/healthcare11212859
Submission received: 30 September 2023 / Revised: 26 October 2023 / Accepted: 26 October 2023 / Published: 30 October 2023
(This article belongs to the Special Issue Oral and Maxillofacial Health Care: Volume III)

Abstract

:
An oral health-related quality of life measure specific to patients undergoing endodontic treatment has not been developed. This study aimed to validate the oral health-related quality of life scale for patients undergoing endodontic treatment (OHQE) for irreversible pulpitis, comprised of 42 questions. Sixty-two patients with irreversible pulpitis, comprising 23 (37.1%) males and 39 (62.9%) females, were enrolled between August 2022 and February 2023. Data were collected at three time points: pretreatment, post-treatment, and at the second week post-treatment. Factor analysis revealed physical, psychological, and expectations as subscales of OHQE. Cronbach’s alpha coefficients ranged from 0.87 to 0.95 for each subscale. Each subscale of the General Oral Health Assessment Index (GOHAI) was moderately correlated with the OHQE subscales. Good–poor analysis revealed a significant difference between the high-scoring and low-scoring groups for each OHQE subscale. The intraclass correlation coefficients of the OHQE subscales ranged from 0.89 to 0.95. Multivariate linear regression analysis revealed a significant correlation between the pretreatment and post-treatment psychological factors (p < 0.05). Thus, OHQE will help researchers and policymakers understand the impact of oral health on the quality of life of patients with irreversible pulpitis undergoing endodontic treatment. OHQE could contribute to the appropriate planning, treatment decisions, and management of dental treatment.

1. Introduction

Dental caries affects more than 2.3 billion individuals worldwide and is one of the most common diseases in dentistry [1]. According to the Indonesian Basic Health Research conducted in 2018, the prevalence of caries in Indonesia was 88% [2]. Dental caries is considered a public health problem in countries with weak caries prevention systems. In Mexico, dental caries was detected in 99% of the population [3]. The etiology of dental caries is complex, and it can be caused by a combination of social, psychological, and physical factors. Dental caries is frequently caused by oral micro-organisms, mainly streptococci and lactobacilli, which ferment simple carbohydrates, such as sucrose. The initial indicators of dental caries include surface roughness and subsurface demineralization, which are followed by cavitation, pulp involvement, swelling, abscess formation, and the development of systemic signs and symptoms [4].
Dental caries is the main cause of tooth extraction in patients under the age of 35 [3]. Tooth loss due to dental caries is not limited to oral problems; it is also associated with systemic disease and mortality. A cohort study conducted in China revealed that tooth loss significantly increased the risk of overall death and death from upper gastrointestinal cancer, heart disease, and stroke [5]. Another 12-year cohort study revealed an association between tooth loss and cardiovascular disease [6].
Tooth extraction without prosthodontic treatment affects the entire body, thereby reducing the quality of life (QoL) [7]. Although extraction is more cost-effective than preserving the tooth with endodontic treatment in the short term, the potential need for future replacement of the extracted tooth with an implant, fixed prosthesis, or removable partial dentures indicates that endodontic treatment may be more favorable in terms of cost-effectiveness [8]. More detailed cost-effectiveness calculations for endodontic treatment are expected to be validated using the responsive QoL scale.
The dental pulp comprises a complex arrangement of connective tissue, neurovascular tissue, and humoral cells [9]. Reversible pulpitis elicits spontaneous pain that is relieved a few seconds after the removal of the dental stimulus [10]. Worsening of inflammation and other symptoms, such as discomfort, indicates progression to irreversible symptomatic pulpitis [10,11]. Discomfort can occur suddenly and frequently, followed by heat and sweet sensitivity that persist for a long duration. Dental pain spreads as diffuse pain to the perioral region, thereby reducing the patients’ QoL [11]. Pulp necrosis, the final stage of dental caries, is the collapse of the pulpal defense system against external stimuli, resulting in irreversible damage [9]. Irreversible pulpitis and pulp necrosis require endodontic treatment and can result in the extension of the lesion beyond the apex of the tooth, leading to periapical disease [12,13].
Endodontic treatment involves gaining access to the pulp chamber, chemo-mechanical preparation, and obturation of the root canals [14]. The ultimate goal of endodontic treatment is to render the root canal system bacteria-free and prevent the reinvasion of bacteria and their byproducts from the root canal system into the periradicular tissues [15]. Endodontic treatment is becoming increasingly common owing to patients’ desire to retain their natural teeth and their growing understanding of the advantages of retaining natural teeth. Untreated dental caries can impact the patients’ QoL and psychosocial environment in addition to the mastication function, speech, facial expressions, and psychosocial environment [16]. Wigsten et al. revealed that endodontic treatment improved oral health-related QoL (OHRQoL) more than tooth extraction one month following treatment [17]. OHRQoL is a multidimensional concept that describes the influence of the status of the oral cavity on the function, perceptions, and psychosocial well-being of an individual [18,19]. OHRQoL is an integral part of general health and well-being and is recognized by the World Health Organization as an important segment of the global oral health program [20]. Tools developed and validated for a specific population’s age, local language, and diseases are required to accurately assess the OHRQoL. Several questionnaires have been developed in various languages, including the Geriatric Oral Health Assessment Index (GOHAI) and Oral Health Impact Profile (OHIP) [18].
OHRQoL is measured using GOHAI and OHIP, two widely used questionnaires [18]. GOHAI was originally developed for use in older adult populations [21]; however, it has been used in younger adult populations as a general oral health assessment index in recent years [22]. GOHAI assesses an individual’s perception of their oral health through 12 questions that determine the presence of pain, discomfort, dysfunction, and psychosocial effects of dental diseases [23]. This scale is quick and simple to use and can be self-administered [18]. OHIP was originally developed by Slade and Spencer [24]. A version of OHIP comprising 49 items (OHIP-49) was formulated in Australia based on the statements obtained through interviews with dental patients. These items were distributed across the following seven dimensions elaborated from the theoretical model proposed by Locker: functional limitation, physical pain, psychological discomfort, physical disability, psychological disability, social disability, and handicap [25]. Shortened versions of this instrument have been developed, such as the Oral Health Impact Profile-14 (OHIP-14) [26]. Physical function, pain, and discomfort, which are direct and frequent effects of oral diseases, are considered more important by GOHAI. In contrast, OHIP-14 focuses on the psychological and social impairments [27]. Six of the twelve items in GOHAI focus on functional restrictions or pain and discomfort, whereas ten of the fourteen items in OHIP-14 focus on psychological and behavioral outcomes [22]. Thus, it may be more beneficial to use GOHAI, rather than OHIP-14, in clinical examinations and longitudinal research for each individual, owing to its sensitivity for detecting changes in masticatory performance [28].
GOHAI and OHIP have certain limitations when used for the detection of irreversible pulpitis. The questions on both scales are suitable for assessing general oral health. In contrast, the OHQE scale was developed to assess the physical and psychological QoL of patients with dental pain due to irreversible pulpitis. In addition, these self-reported questionnaires do not report the expectations of endodontic treatment. Thus, this study aimed to develop and validate the oral health-related quality of life scale for patients undergoing endodontic treatment (OHQE) for irreversible pulpitis. The development of the OHQE would aid researchers and policymakers in understanding the impact of irreversible pulpitis and clarifying the decision-making process for endodontic treatment in clinical practice.

2. Materials and Methods

2.1. Preparation of the Question Pool

The database of PubMed was searched to retrieve relevant publications using MeSH terms such as “irreversible pulpitis”, “endodontic”, and “quality of life”. The retrieved articles were reviewed subsequently. Focus groups with dentists, dental hygienists, and patients were conducted to formulate 89 questions on irreversible pulpitis, endodontics, and QoL. Experts conducted a screening procedure to identify 42 OHQE items suitable for this study by excluding questions with similar connotations or double meanings. The questions were evaluated using a five-point Likert scale, with each score indicating the following: 1, “never”; 2, “rarely”; 3, “sometimes”; 4, “often”; and 5, “very often”. Each subscale of OHQE was rated on a scale of 1–5. Higher ratings indicated a poorer QoL related to oral health in patients with irreversible pulpitis. Thirty-seven OHQE items were selected via the subsequent procedure (Figure 1).

2.2. Participants

A total of 359 patients were referred to the Hasanuddin University Dental Hospital in Makassar, Indonesia, for endodontic treatment between August 2022 and February 2023. The inclusion criteria were as follows: (1) age >20 years and (2) dental caries of C3 that reached the dental pulp or higher (ICDAS caries classification). Patients with psychological disorders were excluded from the study [29]. A total of 199 patients were included in this study. All patients received compensation for undergoing endodontic treatment from the funds allocated by the Indonesian government’s National Health Insurance Program. Sixty-eight patients were excluded as they discontinued treatment before completing endodontic treatment. Thus, 62 patients diagnosed with irreversible pulpitis who had completed endodontic treatment, including the follow-up, were included in this study (Figure 2).
Three surveys were conducted to examine the validity and reliability of the new scale. Survey 1 was conducted before commencing endodontic treatment to assess the construct validity, examine the internal consistency, and evaluate the relationship between OHQE and GOHAI. Survey 2 was conducted after the completion of endodontic treatment, including root canal obturation and temporary restoration, to evaluate its predictive validity. A third survey, Survey 3, was conducted at the 2-week follow-up visit. Surveys 2 and 3 were used to assess the test-retest reliability. All patients who had completed the endodontic treatment were instructed to revisit the dental hospital for an evaluation of the results of the endodontic treatment.

2.3. Data Collection

2.3.1. Background Data

Data regarding the age (years), sex (male/female), weight (kg), height (m), body mass index (kg/m2), employment status (yes/no), university graduation (yes/no), and monthly income in Indonesia’s Rupiah currency (categorized according to the Makassar City regional minimum wage: 3,300,000 IDR ≈ 210 USD), and the number of household members of the patients were collected as background data.

2.3.2. Medical History

Data regarding the medical history of the patients, such as the presence of any systemic disease, medication use, and allergies, was collected. Systemic diseases include diabetes mellitus, hypertension, liver disease, pulmonary disease, thyroid disease, and cancer. In addition, information regarding the medications administered, such as antibiotics, anticancer drugs, calcium channel blockers, and antithyroid drugs, was also collected. The history of any allergies to drugs or food was also recorded.

2.3.3. Dental History

As the dental history of each patient was required in this study, each patient underwent a dental examination to assess the number of teeth, denture use, caries grade, periodontal disease grade, daily brushing frequency, and visual analog scale (VAS) score. Caries grade was categorized into four stages based on the International Caries Detection and Assessment System (ICDAS) in this study: C3 (caries involving the dental pulp) and C4 (the root of the tooth remains) [29]. A new classification from the World Workshop on the Classification of Periodontal and Peri-implant Diseases and Conditions was used to determine the grade of periodontal disease. The grades were as follows: S1, initial; S2, moderate; S3, severe with potential for tooth loss; and S4, severe with potential for loss of all teeth [30].

2.3.4. Questionnaires

The GOHAI and OHQE questionnaires were administered to all participants, which comprised 12 and 42 questions, respectively, following data collection. Both scales were administered three times: before endodontic treatment, after endodontic treatment, and two weeks later after the treatment.

2.4. Study Design

This study had a prospective cohort design based on classical test theory, which primarily enables the examination of the validity and reliability of measures of constructs.

2.5. Statistical Analysis

Descriptive statistics were used to analyze patient characteristics, with frequency, percentage, median, and standard deviation values according to the variables and their distribution. The Shapiro–Wilk test was used to determine the normality of the data distribution. Five items were removed from the questionnaire item list after item reduction using floor and ceiling effects, which were calculated using the mean value and standard deviation. Three fixed factors were used in the factor analysis with promax rotation to evaluate the construct validity. Cronbach’s alpha coefficients were used to evaluate the internal consistency of the new scale, with each value indicating the following: <0.60, poor; 0.60–0.70, moderate; between 0.70 and 0.80, good; 0.80–0.90, very good; and >0.90, excellent [31]. Spearman’s rank correlation coefficients between each factor of OHQE and GOHAI were calculated to assess concurrent validity. The correlation coefficient interpretations were as follows: 0–0.10, negligible correlation; 0.10–0.39, weak correlation; 0.40–0.69, moderate correlation; 0.70–0.89, strong correlation; and 0.90–1.00, very strong correlation [32]. The good-poor analysis was used to assess discriminant validity, with the median value as a cut-off score for categorical variables. The test-retest reliability of Surveys 2 and 3 was evaluated using the intraclass correlation coefficient (ICC). Each value indicated the following: 0–0.39, poor agreement; 0.40–0.74, modest agreement; and 0.75–1.00, excellent agreement [33]. Multivariate linear regression analysis with forced entry was used to evaluate the predictive validity. Statistical analyses were performed using SPSS (version 27; SPSS Japan Inc., Tokyo, Japan). Two-tailed p-values were obtained for all analyses. The alpha level of significance was set at p <0.05.

3. Results

3.1. Participant Characteristic

Among the 199 patients who completed Survey 1, 68 patients dropped out without completing the multivisit treatment. The remaining 131 patients, comprising 62 patients with irreversible pulpitis and 69 patients with pulp necrosis, completed the whole phase of the treatment. The data of patients with irreversible pulpitis were used to validate the new OHQE scale. Among these, 39 (62.9%) were female patients, and 23 (37.1%) were male patients. The mean age of the patients was 36.5 years. Fifty-five patients had C3 caries (88.7%), and seven patients had C4 caries (11.3%). The mean (standard deviation) VAS score for pain was 4.5 (2.7) (Table 1).

3.2. Construct Validity and Internal Consistency

Factor analysis revealed three factors (Table 2): physical, psychological, and expectation factors. The Cronbach’s alpha coefficient for the physical, psychological, and expectation factors were 0.95, 0.87, and 0.87, respectively. The cumulative variance of factor loading was 55.9%.

3.3. Concurrent Validity

The relationship between the OHQE and GOHAI factors was evaluated for concurrent validity using Spearman’s correlation coefficients. Most of the GOHAI factors were moderately correlated with the physical, psychological, and expectations factors, as well as the total OHQE score. A weak correlation was observed between the psychological component of OHQE and the physical function and pain or discomfort in the mouth item on GOHAI (Table 3).

3.4. Good–Poor Analysis for Discriminant Validity

In the high versus low analysis (Figure 3), the Mann–Whitney U test was used to compare the high score group with the low score group for each OHQE factor, which was significantly different between the groups for each factor (p < 0.05).

3.5. Reliability

The ICC values of OHQE for the physical, psychological, and expectation factors were 0.95, 0.92, and 0.89, respectively. The overall ICC value was 0.58. Except for the total score, which indicates insufficient reliability, all OHQE factors had excellent agreement or sufficient reliability (Table 4).

3.6. Predictive Validity

Multivariate linear regression analysis was used to evaluate the predictive validity. The p-values for the physical factors, expectation factors, and total score were 0.77, 0.11, and 0.21, respectively. The p-value for psychological factors showed a significant correlation (p < 0.05; Table 5).

4. Discussion

The OHRQoL scales have been used more often for research purposes in dentistry than in clinical practice. GOHAI and OHIP have been applied to patients with various oral diseases owing to the lack of disease-specific OHRQoL scales [34]. GOHAI was originally developed for use in epidemiological studies to evaluate QoL [21]. Therefore, a questionnaire was designed to comprehensively assess the impact of the oral cavity on systemic health [19]. OHQE is a disease-specific scale that can measure the effects of even minor invasive treatments for dental caries. However, several disease-specific measures have been developed for clinical use and epidemiological studies in oncology, an advanced field related to QoL, to assess health status over time when patients are examined using smartphones, as represented by ePRO (electronic patient-reported outcomes (ePROs)) [35,36]. Daily changes in patients with cancer are then used to calculate the clinical minimum important differences (MCID) for research purposes in advance, which is useful for many treatments and supportive care [37,38]. Pain is the main physical manifestation of irreversible pulpitis; however, the treatment strategy must be modified owing to multifactorial influences. Some patients do not seek treatment owing to psychological aspects and progress to pulpal necrosis, whereas others do not have adequate access to dental care due to social aspects (patients for whom extraction is the only option) [39]. Therefore, although OHQE was developed to evaluate the OHRQoL of patients for endodontic research purposes, it is hoped that a shortened version could be developed in the future and that it could be used to calculate MCID to aid in decision-making [40].
Endodontic treatment of irreversible pulpitis and pulp necrosis requires multiple and long-term treatments. Although prolonged endodontic treatment may generate a shift in response to patients undergoing dental treatment, adequate research is lacking. A response shift is a phenomenon specific to patient-reported outcomes (PRO), and its incidence has been reported in dentistry [41]. When individuals self-evaluate their health status, they refer to their internal criteria to make judgments, and the phenomenon of a change in these internal criteria is called a response shift [42]. Response shifts can be classified into three categories: recalibration, reprioritization, and reconceptualization. Recalibration occurs in patients undergoing long-term treatment, especially in patients undergoing endodontic treatment. Recalibration is expected to occur more frequently over the course of long-term treatment in patients undergoing endodontic treatment [43].
The effects of endodontic diseases in terms of clinical characteristics, microbiological factors, and radiographic characteristics are well known from the physicians’ perspective. However, the lack of data on the effects of endodontic diseases from the patient’s perspective is a serious gap in endodontic research. The understanding of oral health from clinicians’ perspectives alone is known to be quite limited. Aside from reporting symptoms, such as pain, endodontists rarely take into account the opinions of their patients. It can be argued that it is important to assess a patient’s QoL, which considers how signs and symptoms affect the patient physically, socially, and psychologically, to determine treatment needs and, ultimately, treatment success [44]. Determining how a certain oral problem affects psychological health or whether it causes patient suffering is another crucial consideration. Oral mucosal disorders, orofacial pain, and tooth loss have all been linked to decreased psychological well-being; however, endodontic status has received less attention [44]. Thus, OHQE could be used to improve the doctor-patient relationship.
Several studies have shown that endodontic treatment can influence the QoL of patients. A prospective longitudinal study reported a significant improvement in OHRQoL after orthograde endodontic treatment. The magnitude of the statistical change was moderate in the short term (one month) and large in the longer term (six months) [45]. A systematic review revealed an increased and widespread interest in the impact of endodontic treatment on QoL; nevertheless, these results are limited to patients who seek endodontic treatment and cannot be generalized [46]. In a previous study, participants from two cities in Canada reported that preoperative factors (e.g., pain and sleep disturbances) affected their QoL, which improved after endodontic treatment. Patient satisfaction improved significantly when endodontic treatment was provided by endodontists [47]. Physical pain was found to be the most affected dimension of the OHRQoL among patients after endodontic treatment at three hospitals in Jeddah, Saudi Arabia [48]. However, given the sensitivity of the QoL scale used in the aforementioned study, the more sensitive OHQE could be used to detect unmet medical needs.
OHQE consists of three subscales: physical, psychological, and expectations. The interpretation of the names of these factors was considered reasonable for the following reasons. In the present study, the pain or discomfort in the mouth component of GOHAI was added to the physical component. OHQE also included expectations as a new subscale, as the perception of patients’ oral health is not accurately reflected in objective assessments of dental problems [19]. The OHRQoL scales are intriguing instruments that assess oral health from the patients’ perspective, assess the patients’ condition or record changes in oral status over the course of treatment, and incorporate the patients’ perceptions and expectations [19,49]. Patients’ expectation fulfillment, adherence, and satisfaction are closely interrelated, which also affect OHRQoL [50]. Patients become dissatisfied if their expectations are not met, and this situation arises when the clinicians’ and patients’ expectations are not aligned. Patients frequently require information; however, this is not always recognized by clinicians, who believe that patients seek prescriptions, tests, or referrals [51].
Internal consistency assesses the degree to which the items on a test are interrelated [52]. The internal consistency was measured using Cronbach’s alpha. Alpha varies from 0 to 1, and high alpha values indicate a high degree of inter-relatedness among the items on a test [52]. Cronbach’s alpha coefficients were calculated as 0.95, 0.87, and 0.87 for the physical, psychological, and expectation factors, respectively, in the present study, indicating that all three factors had excellent internal consistency. Thus, OHQE can be used reliably [31]. These results are similar to those of a study that used the French version of the GOHAI (Cronbach’s alpha = 0.86) [53]. Cronbach’s alpha internal consistency coefficients are influenced by the number of items on the scale [54]. Cronbach’s alpha values were quite low when the number of items was less than 10 [55]. Therefore, the values of the coefficients were expected to be excellent for a scale of over ten items (physical).
The relationship between the OHQE and GOHAI factors was evaluated for concurrent validity using Spearman’s correlation coefficients. Spearman rank correlation describes the monotonic relationship between two variables. This correlation coefficient is (1) useful for non-normally distributed continuous data, (2) applicable to ordinal data, and (3) relatively robust for outliers [56]. Spearman’s coefficient ranges from −1 to +1, which can be interpreted as describing anything between no association (r = 0) and a perfect monotonic relationship (r = −1 or +1) [56]. Correlation coefficients describe the strength and direction of the association between the variables [56]. The scores of the correlation coefficients in each of the OHQE subscales ranged from 0.18 to 0.61, and most of the relationship between OHQE and GOHAI produced a moderate correlation [32]. Excluding the correlation between the psychological factors of OHQE and the pain or discomfort in the mouth item and the physical function of GOHAI was weak [32]. The results were 0.18 and 0.21, respectively). In addition, all correlation values from each factor were positive, indicating that they were correlated with each factor. The relationship between OHQE and GOHAI produced reasonable values in terms of validity and reliability. Moreover, OHQE showed satisfactory concurrent validity with significant correlations with GOHAI, similar to a study using GOHAI in the Greek language [57]. This establishes the status of concurrent validity as external validity.
Test-retest reliability was assessed by calculating the ICCs [52]. Absolute reliability refers to the degree to which repeated measurements of the same instrument on the same individual vary around the true score. A smaller variation in repeated measurements indicates a higher absolute reliability [52]. In this study, the ICC values for each OHQE factor indicated acceptable reliability. This favorable value is most likely a result of the fact that there was only a two-week interval between Surveys 2 and 3, which were utilized as the control visits for the test-retest reliability assessment. The new scale has 42 items. The reliability of the test increases as the sample of items taken from a given area of knowledge and skill increases. The difficulty level, clarity of expression, and conciseness of instructions for a test item also affect the reliability of the test scores. If the test items are very easy or difficult for group members, it will lead to low-reliability scores. This may be attributed to a restricted spread of scores in both tests. The discriminant validity of OHQE was verified, as statistically significant differences were observed between the low-scoring and high-scoring groups of each subscale (p < 0.05) divided by the cut-off score using the median value. The results of predictive validity indicated that psychological factors are likely to play a role in patients with irreversible pulpitis undergoing endodontic treatment.
However, this study has some limitations. The sample size is the first limitation of this study. The sample size was expected, given the dropout rate (10%). However, the number of individuals who withdrew from the study (34.2%) was higher than predicted. Thus, there could be a nonrespondent bias in this study [58]. The patients elected against continuing the endodontic procedure, probably owing to the requirement of multiple appointments and lengthy waiting periods. Endodontic therapy requires a minimum of seven appointments in accordance with Indonesian health insurance regulations. In addition, some patients no longer experienced tooth pain after a few initial visits and elected not to continue the sequential treatment. Therefore, further research with larger sample sizes is necessary, as the study sample did not accurately reflect the community of endodontic patients. Second, patient participation is another drawback. Some patients thought it would be time-consuming for them to read and respond to all the questions. Lastly, the current study only represents the condition of one tooth that requires endodontic treatment, not the complete oral health status of the participants.
The newly developed OHQE has several advantages, including the ability to assess the QoL of patients with irreversible pulpitis who experience physical and psychological symptoms related to dental pain. Furthermore, this new scale can determine the expectations of patients with irreversible pulpitis from endodontic therapy. These benefits can be used by future researchers and policymakers to better understand the influence of oral health on the QoL of patients with irreversible pulpitis and aid in the appropriate planning and management of dental health programs.

5. Conclusions

Numerous statistical analyses have verified that OHQE is a reliable and valid scale that can be used to measure the OHRQoL in patients with irreversible pulpitis undergoing endodontic treatment as a disease-specific scale.

Author Contributions

Conceptualization, F.A.A., Y.M. and T.K.; methodology, F.A.A. and Y.M.; software, F.A.A. and Y.M.; validation, F.A.A. and Y.M.; formal analysis, F.A.A. and Y.M.; investigation, F.A.A. and Y.M.; resources, F.A.A. and Y.M.; data curation, F.A.A. and Y.M.; writing—original draft preparation, F.A.A.; writing—review and editing, F.A.A.; visualization, F.A.A.; supervision, Y.M. and T.K.; project administration, Y.M.; funding acquisition, T.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was approved by the Health Research Ethics Commission of Universitas Muslim Indonesia and Ibnu Sina Hospital (approval number: UMI012206265).

Informed Consent Statement

Informed consent was obtained from all participants involved in the study. Written informed consent was obtained from all the participants for the publication of this paper.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author. These data are not publicly available for ethical reasons.

Acknowledgments

The authors thank all study participants. We would like to express our gratitude to each employee of the Conservative Dentistry Unit of Hasanuddin University Dental Hospital and the Department of Oral and Maxillofacial Surgery, Shimane University Faculty of Medicine.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Disease, G.B.D.; Injury, I.; Prevalence, C. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018, 392, 1789–1858. [Google Scholar] [CrossRef]
  2. Hasil Utama Riskesdas 2018, Kementerian Kesehatan RI, Badan Penelitian dan Pengembangan Kesehatan. Available online: https://kesmas.kemkes.go.id/assets/upload/dir_519d41d8cd98f00/files/hasil-riskesdas-2018_1274.pdf (accessed on 27 June 2023).
  3. Aamodt, K.; Reyna-Blanco, O.; Sosa, R.; Hsieh, R.; De la Garza Ramos, M.; Garcia Martinez, M.; Orellana, M.F. Prevalence of caries and malocclusion in an indigenous population in Chiapas, Mexico. Int. Dent. J. 2015, 65, 249–255. [Google Scholar] [CrossRef]
  4. Shah, N.; Pandey, R.M.; Duggal, R.; Mathur, V.P.; Rajan, K.B. Oral Health in India: A Report of the Multi Centric Study; Directorate General of Health Services, Ministry of Health and Family Welfare, Government of India and World Health Organisation Collaborative Program; Government of India: New Delhi, India, 2007. [Google Scholar]
  5. Abnet, C.C.; Qiao, Y.L.; Dawsey, S.M.; Dong, Z.W.; Taylor, P.R.; Mark, S.D. Tooth loss is associated with increased risk of total death and death from upper gastrointestinal cancer, heart disease, and stroke in a Chinese population-based cohort. Int. J. Epidemiol. 2005, 34, 467–474. [Google Scholar] [CrossRef] [PubMed]
  6. Holmlund, A.; Holm, G.; Lind, L. Number of Teeth as a Predictor of Cardiovascular Mortality in a Cohort of 7,674 Subjects Followed for 12 Years. J. Periodontol. 2010, 81, 870–876. [Google Scholar] [CrossRef] [PubMed]
  7. Mack, F.; Schwahn, C.; Feine, J.S.; Mundt, T.; Bernhardt, O.; John, U.; Kocher, P.T.; Biffar, R. The impact of tooth loss on general health related to quality of life among elderly Pomeranians: Results from the study of health in Pomerania (SHIP-O). Int. J. Prosthodont. 2005, 18, 414–419. [Google Scholar]
  8. Wigsten, E.; Kvist, T.; Husberg, M.; EndoReCo; Davidson, T. Cost-effectiveness of root canal treatment compared with tooth extraction in a Swedish Public Dental Service: A prospective controlled cohort study. Clin. Exp. Dent. Res. 2023, 9, 661–669. [Google Scholar] [CrossRef]
  9. Gemmell, A.; Stone, S.; Edwards, D. Investigating acute management of irreversible pulpitis: A survey of general dental practitioners in North East England. Br. Dent. J. 2020, 228, 521–526. [Google Scholar] [CrossRef]
  10. Iaculli, F.; Rodriguez-Lozano, F.J.; Briseno-Marroquin, B.; Wolf, T.G.; Spagnuolo, G.; Rengo, S. Vital Pulp Therapy of Permanent Teeth with Reversible or Irreversible Pulpitis: An Overview of the Literature. J. Clin. Med. 2022, 11, 4016. [Google Scholar] [CrossRef]
  11. Modaresi, J.; Davoudi, A.; Badrian, H.; Sabzian, R. Irreversible pulpitis and achieving profound anesthesia: Complexities and managements. Anesth. Essays Res. 2016, 10, 3–6. [Google Scholar] [CrossRef] [PubMed]
  12. Zero, D.T.; Zandona, A.F.; Vail, M.M.; Spolnik, K.J. Dental Caries and Pulpal Disease. Dent. Clin. North Am. 2011, 55, 29–46. [Google Scholar] [CrossRef]
  13. Gomes, B.; Herrera, D.R. Etiologic role of root canal infection in apical periodontitis and its relationship with clinical symptomatology. Braz. Oral Res. 2018, 32, e69. [Google Scholar] [CrossRef] [PubMed]
  14. Wong, J.; Cheung, G.S.P.; Lee, A.H.C.; McGrath, C.; Neelakantan, P. PROMs Following Root Canal Treatment and Surgical Endodontic Treatment. Int. Dent. J. 2023, 73, 28–41. [Google Scholar] [CrossRef] [PubMed]
  15. Tsesis, I.; Taschieri, S.; Slutzky-Goldberg, I. Contemporary endodontic treatment. Int. J. Dent. 2012, 2012, 231362. [Google Scholar] [CrossRef] [PubMed]
  16. Mathur, V.P.; Dhillon, J.K. Dental Caries: A Disease Which Needs Attention. Indian J. Pediatr. 2018, 85, 202–206. [Google Scholar] [CrossRef] [PubMed]
  17. Wigsten, E.; Kvist, T.; Jonasson, P.; Bjørndal, L.; Dawson, V.S.; Fransson, H.; Frisk, F.; Jonasson, P.; Kvist, T.; Markvart, M.; et al. Comparing Quality of Life of Patients Undergoing Root Canal Treatment or Tooth Extraction. J. Endod. 2020, 46, 19–28.e11. [Google Scholar] [CrossRef]
  18. Wasacz, K.; Chomyszyn-Gajewska, M.; Hukowska, D. Oral health-related quality of life (OHRQoL) in Polish adults with periodontal diseases, oral mucosal diseases and dental caries. Dent. Med. Probl. 2022, 59, 573–581. [Google Scholar] [CrossRef] [PubMed]
  19. Denis, F.; Hamad, M.; Trojak, B.; Tubert-Jeannin, S.; Rat, C.; Pelletier, J.F.; Rude, N. Psychometric characteristics of the "General Oral Health Assessment Index (GOHAI) >> in a French representative sample of patients with schizophrenia. BMC Oral Health 2017, 17, 75. [Google Scholar] [CrossRef]
  20. Gerritsen, A.E.; Allen, P.F.; Witter, D.J.; Bronkhorst, E.M.; Creugers, N.H.J. Tooth loss and oral health-related quality of life: A systematic review and meta-analysis. Health Qual. Life Outcomes 2010, 8, 126. [Google Scholar] [CrossRef]
  21. Atchison, K.; Dolan, T. Development of the Geriatric Oral Health Assessment Index. J. Dent. Educ. 1990, 54, 680–687. [Google Scholar] [CrossRef]
  22. Locker, D.; Matear, D.; Stephens, M.; Lawrence, H.; Payne, B. Comparison of the GOHAI and OHIP-14 as measures of the oral health-related quality of life of the elderly. Community Dent. Oral Epidemiol. 2001, 29, 373–381. [Google Scholar] [CrossRef]
  23. Ling, Y.; Watanabe, M.; Yoshii, H.; Akazawa, K. Characteristics linked to the reduction of stigma towards schizophrenia: A pre-and-post study of parents of adolescents attending an educational program. BMC Public Health 2014, 14, 258. [Google Scholar] [CrossRef]
  24. Slade, G.D.; Spencer, A.J. Development and evaluation of the Oral Health Impact Profile. Community Dent. Health 1994, 11, 3–11. [Google Scholar]
  25. Locker, D. Measuring oral health: A conceptual framework. Community Dent. Health 1988, 5, 3–18. [Google Scholar]
  26. Slade, G.D. Derivation and validation of a short-form oral health impact profile. Community Dent. Oral Epidemiol. 1997, 25, 284–290. [Google Scholar] [CrossRef] [PubMed]
  27. El Osta, N.; Tubert-Jeannin, S.; Hennequin, M.; Bou Abboud Naaman, N.; El Osta, L.; Geahchan, N. Comparison of the OHIP-14 and GOHAI as measures of oral health among elderly in Lebanon. Health Qual. Life Outcomes 2012, 10, 131. [Google Scholar] [CrossRef] [PubMed]
  28. Ikebe, K.; Hazeyama, T.; Enoki, K.; Murai, S.; Okada, T.; Kagawa, R.; Matsuda, K.; Maeda, Y. Comparison of GOHAI and OHIP-14 measures in relation to objective values of oral function in elderly Japanese. Community Dent. Oral Epidemiol. 2012, 40, 406–414. [Google Scholar] [CrossRef] [PubMed]
  29. Huh, J.; Nam, H.; Kim, J.; Park, J.; Shin, S.; Lee, R. Studies of Automatic Dental Cavity Detection System as an Auxiliary Tool for Diagnosis of Dental Caries in Digital X-ray Image. Prog. Med. Phys. 2015, 26, 52–58. [Google Scholar] [CrossRef]
  30. Caton, J.G.; Armitage, G.; Berglundh, T.; Chapple, I.L.C.; Jepsen, S.; Kornman, K.S.; Mealey, B.L.; Papapanou, P.N.; Sanz, M.; Tonetti, M.S. A new classification scheme for periodontal and peri-implant diseases and conditions—Introduction and key changes from the 1999 classification. J. Clin. Periodontol. 2018, 45 (Suppl. S20), S1–S8. [Google Scholar] [CrossRef]
  31. Mat Nawi, F.A.; Abdul Malek, A.T.; Muhammad Faizal, S.; Wan Masnieza Wan, M. A Review on the Internal Consistency of a Scale: The Empirical Example of the Influence of Human Capital Investment on Malcom Baldridge Quality Principles in Tvet Institutions. Asian People J. APJ 2020, 3, 19–29. [Google Scholar] [CrossRef]
  32. Mukaka, M.M. Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Med. J. 2012, 24, 69–71. [Google Scholar]
  33. Chaparro-Rico, B.D.M.; Cafolla, D. Test-Retest, Inter-Rater and Intra-Rater Reliability for Spatiotemporal Gait Parameters Using SANE (an eaSy gAit aNalysis systEm) as Measuring Instrument. Appl. Sci. 2020, 10, 5781. [Google Scholar] [CrossRef]
  34. Vettore, M.V.; Rebelo, M.A.B.; Rebelo Vieira, J.M.; Cardoso, E.M.; Birman, D.; Leao, A.T.T. Psychometric Properties of the Brazilian Version of GOHAI among Community-Dwelling Elderly People. Int. J. Environ. Res. Public Health 2022, 19, 14725. [Google Scholar] [CrossRef] [PubMed]
  35. Basch, E.; Schrag, D.; Henson, S.; Jansen, J.; Ginos, B.; Stover, A.M.; Carr, P.; Spears, P.A.; Jonsson, M.; Deal, A.M.; et al. Effect of Electronic Symptom Monitoring on Patient-Reported Outcomes Among Patients with Metastatic Cancer: A Randomized Clinical Trial. JAMA 2022, 327, 2413–2422. [Google Scholar] [CrossRef] [PubMed]
  36. Pérez-Alfonso, K.E.; Sánchez-Martínez, V. Electronic Patient-Reported Outcome Measures Evaluating Cancer Symptoms: A Systematic Review. Semin. Oncol. Nurs. 2021, 37, 151145. [Google Scholar] [CrossRef]
  37. Ogura, K.; Yakoub, M.A.; Christ, A.B.; Fujiwara, T.; Nikolic, Z.; Boland, P.J.; Healey, J.H. What Are the Minimum Clinically Important Differences in SF-36 Scores in Patients with Orthopaedic Oncologic Conditions? Clin. Orthop. Relat. Res. 2020, 478, 2148–2158. [Google Scholar] [CrossRef]
  38. Tuomi, L.; Johansson, M.; Andréll, P.; Finizia, C. Interpretation of the Swedish Self Evaluation of Communication Experiences after Laryngeal cancer: Cutoff levels and minimum clinically important differences. Head Neck 2016, 38, 689–695. [Google Scholar] [CrossRef]
  39. Khademi, A.; Roohafza, H.; Iranmanesh, P.; Yaraghi, N.; Sichani, A.V. Association between psychological factors and pain perception in patients with symptomatic irreversible pulpitis during endodontic treatment. G. Ital. Endod. 2020, 34, 13–19. [Google Scholar]
  40. Katijjahbe, M.A.; Denehy, L.; Granger, C.L.; Royse, A.; Royse, C.; Logie, S.; Sturgess, T.; Md Ali, N.A.; McManus, M.; Sandy, C.E.; et al. Psychometric evaluation of the shortened version of the Functional Difficulties Questionnaire to assess thoracic physical function. Clin. Rehabil. 2020, 34, 132–140. [Google Scholar] [CrossRef]
  41. Schmalz, G.; Fenske, F.; Reuschel, F.; Bartl, M.; Schmidt, L.; Goralski, S.; Roth, A.; Ziebolz, D. Association between oral health and oral health-related quality of life in patients before hip and knee endoprosthesis surgery: A cross-sectional study. BMC Oral Health 2022, 22, 604. [Google Scholar] [CrossRef]
  42. Hosseini, B.; Nedjat, S.; Zendehdel, K.; Majdzadeh, R.; Nourmohammadi, A.; Montazeri, A. Response shift in quality of life assessment among cancer patients: A study from Iran. Med. J. Islam Repub. Iran 2017, 31, 120. [Google Scholar] [CrossRef]
  43. Carlier, I.V.E.; van Eeden, W.A.; de Jong, K.; Giltay, E.J.; van Noorden, M.S.; van der Feltz-Cornelis, C.; Zitman, F.G.; Kelderman, H.; van Hemert, A.M. Testing for response shift in treatment evaluation of change in self-reported psychopathology amongst secondary psychiatric care outpatients. Int. J. Methods Psychiatr. Res. 2019, 28, e1785. [Google Scholar] [CrossRef]
  44. Liu, P.; McGrath, C.; Cheung, G. Quality of life and psychological well-being among endodontic patients: A case-control study. Aust. Dent. J. 2012, 57, 493–497. [Google Scholar] [CrossRef] [PubMed]
  45. Liu, P.; McGrath, C.; Cheung, G.S. Improvement in oral health-related quality of life after endodontic treatment: A prospective longitudinal study. J. Endod. 2014, 40, 805–810. [Google Scholar] [CrossRef] [PubMed]
  46. Neelakantan, P.; Liu, P.; Dummer, P.M.H.; McGrath, C. Oral health-related quality of life (OHRQoL) before and after endodontic treatment: A systematic review. Clin. Oral Investig. 2020, 24, 25–36. [Google Scholar] [CrossRef]
  47. Dugas, N.N.; Lawrence, H.P.; Teplitsky, P.; Friedman, S. Quality of life and satisfaction outcomes of endodontic treatment. J. Endod. 2002, 28, 819–827. [Google Scholar] [CrossRef] [PubMed]
  48. Hamadallah, A.O.A.; Abdullah Alshuaybi, A.A.; Alhamid, A.w.h.; Hassan, R.E.S. Quality of Life and Patient Satisfaction after Endodontic Treatment Performed in Three Hospitals in Jeddah, kingdom of Saudi Arabia. J. Pharm. Res. Int. 2021, 33, 84–96. [Google Scholar] [CrossRef]
  49. Allen, P.F. Assessment of oral health related quality of life. Health Qual. Life Outcomes 2003, 1, 40. [Google Scholar] [CrossRef] [PubMed]
  50. Kravitz, R.L.; Cope, D.W.; Bhrany, V.; Leake, B. Internal medicine patients’ expectations for care during office visits. J. Gen. Intern. Med. 1994, 9, 75–81. [Google Scholar] [CrossRef]
  51. Dogramaci, E.J.; Rossi-Fedele, G. Patient-related outcomes and Oral Health-Related Quality of Life in endodontics. Int. Endod. J. 2023, 56 (Suppl. S2), 169–187. [Google Scholar] [CrossRef]
  52. Gravesande, J.; Richardson, J.; Griffith, L.; Scott, F. Test-retest reliability, internal consistency, construct validity and factor structure of a falls risk perception questionnaire in older adults with type 2 diabetes mellitus: A prospective cohort study. Arch. Physiother. 2019, 9, 14. [Google Scholar] [CrossRef]
  53. Tubert-Jeannin, S.; Riordan, P.J.; Morel-Papernot, A.; Porcheray, S.; Saby-Collet, S. Validation of an oral health quality of life index (GOHAI) in France. Community Dent. Oral Epidemiol. 2003, 31, 275–284. [Google Scholar] [CrossRef] [PubMed]
  54. Furnham, A. Relationship among Four Big Five Measures of Different Length. Psychol. Rep. 2008, 102, 312–316. [Google Scholar] [CrossRef]
  55. Balgiu, B.A.; Sfeatcu, R.; Mihai, C.; Lupusoru, M.; Bucur, M.V.; Tribus, L. Romanian Version of the Oral Health Values Scale: Adaptation and Validation. Medicina 2022, 58, 544. [Google Scholar] [CrossRef] [PubMed]
  56. Schober, P.; Boer, C.; Schwarte, L.A. Correlation Coefficients: Appropriate Use and Interpretation. Anesth. Analg. 2018, 126, 1763–1768. [Google Scholar] [CrossRef] [PubMed]
  57. Gkavela, G.; Kossioni, A.; Lyrakos, G.; Karkazis, H.; Volikas, K. Oral health related quality of life in older people: Preliminary validation of the Greek version of the Geriatric Oral Health Assessment Index (GOHAI). Eur. Geriatr. Med. 2015, 6, 245–250. [Google Scholar] [CrossRef]
  58. Carlson, N. Accounting for Participant Dropout in Clinical Studies. Sci. Transl. Med. 2010, 2, 16ec14. [Google Scholar] [CrossRef]
Figure 1. Development of the question pool. QoL, Quality of Life; GOHAI, General Oral Health Assessment Index; PRO, Patient-Reported Outcome.
Figure 1. Development of the question pool. QoL, Quality of Life; GOHAI, General Oral Health Assessment Index; PRO, Patient-Reported Outcome.
Healthcare 11 02859 g001
Figure 2. Flow chart outlining the study.
Figure 2. Flow chart outlining the study.
Healthcare 11 02859 g002
Figure 3. Discriminant validity according to the Mann–Whitney U test.
Figure 3. Discriminant validity according to the Mann–Whitney U test.
Healthcare 11 02859 g003
Table 1. Demographic characteristics of the participants (n = 62).
Table 1. Demographic characteristics of the participants (n = 62).
VariablesCategoriesn (%) or Mean [SD]
Age (years) 36.5 [12.4]
SexMale23 (37.1)
Female39 (62.9)
Body mass index (kg/m2) 23.5 [3.6]
JobEmployed34 (54.8)
Unemployed28 (45.2)
University graduateYes32 (51.6)
No30 (48.4)
Monthly income<3,300,000 IDR43 (69.4)
≥3,300,000 IDR19 (30.6)
Number of housemates 4.2 [1.6]
Systemic diseaseYes15 (24.2)
No47 (75.8)
Medication takenYes8 (12.9)
No54 (87.1)
AllergiesYes5 (8.1)
No57 (91.9)
Number of teeth 26.7 [4.3]
Denture useYes4 (6.5)
No58 (93.5)
Grade of cariesC355 (88.7)
C47 (11.3)
Grade of periodontal diseaseS137 (59.7)
S221 (33.9)
S34 (6.5)
S40 (0.0)
Brushing (times) 2.2 [0.5]
VAS 4.5 [2.7]
VAS, visual analogue scale; SD, standard deviation.
Table 2. Rotated factor loadings for construct validity and internal consistency.
Table 2. Rotated factor loadings for construct validity and internal consistency.
ItemsFactor Loading
123
Factor 1. Physical
Q10. Have you had toothache?0.81−0.320.17
Q14. Have you ever felt pain that radiates from a dental pain?0.790.340.07
Q24. Has your sleep been interrupted because of dental pain?0.790.31−0.03
Q9. Have you had headaches because of dental pain?0.760.24−0.08
Q8. Have you had a sore jaw because of dental pain?0.750.190.29
Q7. Have you had painful aching in your mouth because of dental pain?0.710.170.06
Q11. Have you had painful gums?0.700.050.15
Q26. Have you found it difficult to relax because of dental pain?0.680.530.14
Q13. Have you ever taken medication to relieve dental pain?0.670.110.19
Q15. Have you ever felt pain radiating to the ear because of dental pain?0.670.230.26
Q1. Have you had difficulty chewing any foods because of dental pain?0.650.26−0.002
Q6. Have you ever had difficulty opening your mouth because of dental pain?0.630.53−0.06
Q23. Have you ever been unable to lie down because of dental pain?0.620.370.09
Q21. Have you had to avoid eating some foods because of dental pain?0.620.430.11
Q27. Have you avoided going out because of dental pain?0.590.53−0.17
Q17. Have you felt tense because of dental pain?0.570.540.13
Q18. Have you ever felt that your toothache is a serious disease?0.540.440.31
Q28. Have you been a bit irritable with other people because of dental pain?0.450.39−0.15
Q33. Have you ever thought that the root canal treatment can be reinfected in the future?0.360.11−0.37
Factor 2. Psychological
Q16. Have you felt uncomfortable about the appearance of your teeth because of dental pain?0.120.840.22
Q4. Have you felt that your sense of taste has worsened because of dental pain?0.110.820.01
Q5. Have you felt that your digestion has worsened because of dental pain?0.110.780.14
Q3. Have you felt that your appearance has been affected because of dental pain?0.150.73−0.008
Q19. Do you ever overthink about your health condition because of dental pain?0.410.590.27
Q2. Have you had trouble pronouncing any words because of dental pain?0.390.55−0.11
Q29. Have you felt that your general health has worsened because of dental pain?0.290.540.16
Q25. Have you been upset because of dental pain?0.470.540.21
Q20. Has your speech been unclear because of dental pain?0.380.41−0.29
Q31. Have you ever thought that it is better to have a tooth extracted than to treat it?0.170.29−0.03
Factor 3. Expectations
Q37. Have you ever thought that root canal treatment could have a good impact on your health?−0.070.000.82
Q22. Have you ever thought that root canal treatment can improve your chewing function?0.15−0.080.79
Q35. Have you ever thought that root canal treatment can improve quality of life?0.030.120.79
Q36. Have you ever thought that root canal treatment can improve dental aesthetics?−0.050.300.77
Q12. Have you ever felt that root canal treatment can eliminate your dental pain?0.180.010.76
Q32. Have you ever thought that root canal treatment is worth doing?0.09−0.040.65
Q30. Have you ever thought that root canal treatment is expensive?0.120.170.55
Q34. Have you ever thought that root canal treatment should be performed by a specialist rather than a general dentist?0.260.050.51
Sum of squares on factor loading9.296.434.98
Variance explained (%)25.1317.3813.45
Cumulative variance explained (%)25.1342.5055.95
Cronbach’s alpha coefficient0.950.870.87
Table 3. Relationship between OHQE and GOHAI for concurrent validity.
Table 3. Relationship between OHQE and GOHAI for concurrent validity.
GOHAIOHQE
PhysicalPsychologicalExpectationsTotal Score
Physical function
r0.280.210.360.38
p-value0.03 *0.090.004 *0.003 *
Psychosocial function
r0.480.570.370.61
p-value<0.01 *<0.01 *0.003 *<0.01 *
Pain or discomfort in the mouth
r0.270.180.290.31
p-value0.03 *0.150.02 *0.02 *
Total score
r0.440.450.410.57
p-value<0.01 *<0.01 *0.001 *<0.01 *
OHQE: oral health-related quality of life scale for patients with endodontic disease; GOHAI: general oral health assessment index; * significant difference (p < 0.05).
Table 4. Test-retest reliability of OHQE using ICC.
Table 4. Test-retest reliability of OHQE using ICC.
FactorICC (95% CI)
Physical0.95 (0.93–0.96)
Psychological0.92 (0.89–0.95)
Expectations0.89 (0.84–0.93)
Total score0.58 (0.18–0.77)
ICC: intraclass correlation coefficient, CI: confidence interval.
Table 5. Multivariate analysis using linear regression analysis for predictive validity.
Table 5. Multivariate analysis using linear regression analysis for predictive validity.
VariablesβB95% CIp-Value
LowerUpper
Physical0.040.05−0.290.390.77
Psychological0.260.740.021.450.04 *
Expectations0.210.60−0.131.330.11
Total score0.160.14−0.080.350.21
* significant difference (p < 0.05); CI: confidence interval.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Arifin, F.A.; Matsuda, Y.; Kanno, T. Development and Validation of Oral Health-Related Quality of Life Scale for Patients Undergoing Endodontic Treatment (OHQE) for Irreversible Pulpitis. Healthcare 2023, 11, 2859. https://doi.org/10.3390/healthcare11212859

AMA Style

Arifin FA, Matsuda Y, Kanno T. Development and Validation of Oral Health-Related Quality of Life Scale for Patients Undergoing Endodontic Treatment (OHQE) for Irreversible Pulpitis. Healthcare. 2023; 11(21):2859. https://doi.org/10.3390/healthcare11212859

Chicago/Turabian Style

Arifin, Fadil Abdillah, Yuhei Matsuda, and Takahiro Kanno. 2023. "Development and Validation of Oral Health-Related Quality of Life Scale for Patients Undergoing Endodontic Treatment (OHQE) for Irreversible Pulpitis" Healthcare 11, no. 21: 2859. https://doi.org/10.3390/healthcare11212859

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop