Next Article in Journal
Comparative Analysis of Edentulism in a Sample of Mexican Adults with and without Type 2 Diabetes
Previous Article in Journal
Understanding Alcohol Use Discourse and Stigma Patterns in Perinatal Care on Twitter
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Health Belief Model Modifying Factors Associated with Missed Clinic Appointments among Individuals with Sickle Cell Disease in the Jazan Province, Saudi Arabia

by
Sami A. Alhazmi
1,
Afnan Q. Maashi
1,
Shahad K. Shabaan
1,
Aisha A. Majrashi
1,
Mawaeed A. Thakir
1,
Safa M. Almetahr
1,
Alanoud M. Qadri
1,
Abdulaziz A. Hakami
1,
Siddig I. Abdelwahab
2 and
Abdulaziz H. Alhazmi
1,2,*
1
Faculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia
2
Medical Research Center, Jazan University, Jazan 45142, Saudi Arabia
*
Author to whom correspondence should be addressed.
Healthcare 2022, 10(12), 2376; https://doi.org/10.3390/healthcare10122376
Submission received: 31 October 2022 / Revised: 20 November 2022 / Accepted: 25 November 2022 / Published: 26 November 2022
(This article belongs to the Section Chronic Care)

Abstract

:
In treating chronic illnesses, such as sickle cell disease (SCD), outpatient care is essential; poor adherence in attending clinic appointments can lead to serious outcomes. SCD is highly prevalent in Saudi Arabia, and patients with SCD are advised to follow up with their treating physician in order to control this disease manifestation and to better forecast its complications. Studies evaluating missed appointments among patients with SCD are rare. Therefore, the current study aimed to use the health belief model’s modifying factors in order to evaluate the variables associated with poor adherence in attending appointments. A total of 381 participants with SCD from various regions in the Jazan Province, southwestern Saudi Arabia, were included. The survey instrument included socioeconomic determinants, factors associated with poor adherence in attending outpatient appointments, and solutions under the conceptual framework of the health belief model. A descriptive analysis was conducted and the factors that impacted adherence in attending the appointments were evaluated. In the current sample, respondents with SCD from 21 to 30 years represented 41%, which was followed by participants who were 11 to 20 years at 21.5%. In addition, about 60% of the participants were women. Further, approximately 62% of the patients admitted were missing one or more outpatient appointments in the previous year, which was significantly related to various factors, such as socioeconomic characteristics and patient residence. Forgetting the appointment was the main reason for skipping outpatient appointments for patients with SCD; as such, reminders appear to be a good solution for most participants. Our findings indicated that modifying components of the health belief model, including age, level of education, income, patients’ residence, and lacking cues to action (such as reminders) are important in explaining the reason for poor adherence in attending appointments. Thus, efforts are needed to address these factors and to ensure that SCD patients uphold their appointments. Future studies should examine the clinical, psychological, and epidemiological aspects that are linked with missed consultations.

1. Introduction

Sickle cell disease (SCD) is an inherited red blood cell disorder that is caused by the presence of a mutated form of hemoglobin, i.e., hemoglobin S (HbS). The prevalence of the birth of homozygous SCD is 112 per 100,000 live births worldwide. In addition, heterozygous SCD births are estimated at 4230 per 100,000 [1]. Sickle cell anemia is a common disease in Saudi Arabia. The Saudi Premarital Screening Program estimates the frequency of sickle cell anemia to be 5/1000 for the sickle cell trait and 0.38/1000 for the SCD itself. According to newborn screening, 2.6% of infants have the sickle cell illness and 21% possess the sickle cell trait [1]. Cerebrovascular accidents, acute chest syndrome, vaso-occlusive crises, and repeated infections are examples of significant medical complications that can occur as a result of SCD [2,3]. Therefore, in order to avoid complications and maintain a healthy and good quality of life, patients with SCD must obtain preventative care and adhere to follow-up appointments with their treating physicians [3]. Patients’ access to medical and pharmacological therapy relies on regular follow-ups with treating physicians, who can evaluate treatment benefits and side effects, as well as provide referrals for essential services [3].
Patients with SCD are advised to visit the clinic every six months or more if they experience frequent pain episodes and other symptoms [4]. In addition, immunization and other prophylaxis measures are provided as the standard of care during routine visits in order to avoid mentioned sequences of SCD [4,5,6]. Outpatient clinics reported a high rate of missed appointments that impaired proper medical management and wasted administrative and medical resources, which may be related to poor outcomes [7,8]. It could be the case that patients who do not adhere to scheduled appointments could represent one of the most costly problems in outpatient care in terms of economic and human resources [6].
The health belief model is one of the most well-established theoretical models that can be used to evaluate health promotion and disease prevention programs [9,10]. Therefore, this study aimed to assess the modifying factors of the health belief model associated with missed clinic appointments among individuals with SCD.

2. Materials and Methods

2.1. Study Area and Design

This study is a descriptive cross-sectional study conducted in the Jazan Province, located in the southwest corner of Saudi Arabia [11]. The province harbors almost two million inhabitants. Furthermore, the data were collected between May and July 2022.

2.2. Inclusion and Exclusion Criteria

We included patients with SCD of the male and female sex in the Jazan Province who had already been diagnosed with SCD and had been followed up with hematology clinics. We excluded individuals having other comorbidities, being followed outside of Jazan Province, and/or those who refused to participate.

2.3. Data Collection

Responses were gathered through a self-administered survey. The questions were constructed after a pretested questionnaire in accordance with our subjects and are intended to estimate modifying factors of the health belief model for patients with SCD in the Jazan area (Figure 1) [9,10].

2.4. Study Measures

The questionnaire includes questions that evaluate socio-demographics and included the modifying factors of the health belief model associated with missed clinic appointments among individuals with SCD. The questionnaire started with a question about whether the individual was already diagnosed with SCD. Then, those with positive answers would be directed to further questions about their age, sex, educational background, and job. Another part of the questionnaire was regarding whether the individual missed an outpatient appointment in the previous year. Then, those who answered yes were requested to answer questions about the reasons for the missed appointment, as well as solutions to avoid them.

2.5. Pilot Study

Before the distribution of the survey, a pilot sample (n = 20) was used to evaluate the clarity and wording of the questionnaire items, as well as to determine the internal consistency and external reliability of the survey using Cronbach’s alpha and test–retest analysis, which resulted in satisfactory scores (over 0.80). Data from this pilot sample were not included in the analysis.

2.6. Sampling Size and Statistical Analysis

In regard to the sample size, we assumed that there were about 4500 patients with SCD in the Jazan Province [1,11]. The sample size for this study was calculated using the Raosoft sample size calculator http://www.raosoft.com/samplesize.html (accessed on 1 May 2022) (Raosoft Inc., Seattle, WA, USA). Moreover, 351 patients with SCD were required in order to reach a 95% confidence interval and 5% margin of error. The completed questionnaires were edited for quality, consistency, and completeness before processing the results. The information was then coded. Then, data were subjected to a descriptive and univariate analysis using SPSS v23 (IBM Corp., Armonk, NY, USA), with the alpha criterion for the p-value set at 0.05.

2.7. Ethical Consideration

Ethical approval for conducting this study was obtained from the ethical approval committee at Jazan University (reference number: REC43/10/220; date: 9 May 2022). Written consent was obtained from all participants, or their guardians, before the study. The study was conducted following the ethical guidelines of the Helsinki Declaration and the local guidelines of the National Committee of Bioethics, SA. All collected data were kept confidential and used only for the purpose of this research. The questionnaires did not include the participants’ personal information or any other identification methods. Participants were given the right to continue or withdraw at any time from the study.

3. Results

We received 381 responses from patients with SCD, or from their tutors. The demographic data of the study, from Table 1, showed that 40% of the participants were between 21 and 30 years, followed by 11 to 20 years at 21%. Around 60% (226) of the total sample participants were female, while the remaining 40% were males. Regarding marital status, 258 respondents were single, 108 were married, and 15 were divorced or widowed. Concerning education level, most respondents were university students (38.6%). In regard to monthly income, 60% of the participants earned between 2 k and 10 k Saudi Riyals (SAR). The other demographic data are summarized in Table 1.
According to the data presented in Figure 2, almost 62% (235) of patients diagnosed with SCD admitted that they had skipped one or more clinical visits. Figure 3 provides a summary of the many causes for this non-adherence and Figure 4 provides suggestions for how they may improve their level of adherence in attending the visits they have scheduled.
In Table 2, we compared factors associated with poor adherence in appointments against those who had better adherence in attending the appointment. We found a statistically significant relationship between missed clinic appointments and the respondents’ characteristics. Out of the total sample, 46% of respondents aged between 21 and 30 years reported more missed clinical appointments (p-value = 0.003). Then, higher education-level individuals reported missing clinical appointments (42% vs. 33%, p-value = 0.017). Regarding income, 33.2% of participants earning between 5 k and 10 k Saudi SAR missed more appointments than others (p-value = 0.022). Other factors are summarized in Table 2.

4. Discussion

SCD is a chronic disease that is highly prevalent in Saudi Arabia, including the Jazan province. We previously investigated how this disease could affect the affected individual’s quality of life and academic performance [1,12,13]. Adherence to appointments with the treating physician is crucial for the purposes of managing and anticipating complications that are commonly associated with this disease [3]. A significant correlation was previously observed between emergency department visits and missed outpatient appointments in a retrospective cohort study that was conducted and published in 2020, in Al Madinah Al Munawara, Saudi Arabia. The authors indicated that one missed appointment is associated with 1.92 times emergency department visits in a study that included 247 patients with SCD [14]. Further, several studies discussed the fact that patients with SCD may have socioeconomic disadvantages. In the context of Saudi Arabia, a previous study found that patients from families with a lower income are more susceptible to the complications associated with SCD, due to poor adherence in attending therapy or attending clinic visits [15,16,17]. Thus, various factors could affect the adherence in attendance of patients to clinic appointments and will, consequently, affect their quality of life. Therefore, in this project, we used modifying variables from the health belief model in order to evaluate factors associated with missed clinic appointments among individuals with SCD in the Jazan Province, as well as actions that could improve adherence in attending the scheduled appointments.
We found that 62% of the included subjects reported missing one or more clinic appointments per year with their treating physicians, which was significantly associated with socioeconomic factors, such as age, education, monthly income, and the residence of the patients (Figure 2, Table 2). An approximate rate of missing appointments among children with SCD was previously reported to be 65%, as well as 73% for both children and adults; these results were published in a study in 2018 by Cronin et al. in the United States, in which individuals from 18 to 25 years old tended to skip more appointments when compared to other age groups [9]. In the current study, we found that individuals aged 11 to 20 years and 21 to 30 acknowledged a higher rate of missing appointments than other groups (p-value = 0.003). This group experienced a transition from pediatric to adult clinics. This transition is usually associated with an unpreparedness for the different demands in the adult medical environment, such as booking appointments without the help of family or staff and the mismatch between pediatric and adult treatment [18]. Thus, we encourage treating physicians to be aware of this gap, as well as to consider that additional medical and psychological support for the affected individuals may result in better adherence. In addition, health officials should exploit the advances made in telemedicine in order to follow up with those who reside in remote locations, as we found participants’ residence to be a significant factor associated with adherence in attending outpatient appointments (Table 2) [19].
Forgetfulness was among the various reasons listed by the participants of the current study as a reason to skip a scheduled appointment (Figure 3). This finding is agreed by others [3,9,20,21]. Reminders were deemed helpful by 75% of participants in ensuring they attended appointments on time (Figure 4). They requested reminders most often through phone calls. However, text message reminders were favored for those aged 18 to 30 when compared to older persons (i.e., 63% for text and 57% for phone, respectively), showing that various age groups prefer different kinds of reminders. It was found in a systematic review and meta-analysis that when examining reminders for clinic visits, people who received alerts increased their adherence in attending clinic visits by 23%. In addition, multiple alerts were shown to be substantially more effective than single ones and audio notifications outperformed text messages [22]. Therefore, health officials may consider scheduled reminders with an option to reschedule the appointment, which may aid in improving adherence.
Financial instability appears to have been a significant factor in adults skipping appointments, individuals with SCD often missed appointments due to transportation challenges or because they could not afford transportation (Figure 3). Enhancing accessibility to appointments and funding-related fees may be critical in order to improve adherence in attending appointments. These results could be linked to the cognitive difficulties and susceptibility of individuals with SCD to psychological problems [23]. While depression has been linked to chronic, unexpected pain occurrences and psychosocial suffering due to SCD, it is acknowledged that cognitive impairment in people with SCD may increase the chance of missing appointments [24]. Thus, providers need to be aware that patients with SCD and cognitive impairment, as well as those with lower income and depressive symptoms, may need extra attention when it comes to enhancing outpatient clinic adherence in attendance, which will consequently reduce acute healthcare visits.
It is noteworthy that this study was conducted during the COVID-19 pandemic, a disease that directly impacts the clinical course of patients with SCD [25]. However, very few projects were undertaken to examine how this pandemic affected healthcare access for patients with SCD [26]. Moreover, it was shown that fewer patients sought medical care during the pandemic. However, prolonged hospitalization was noticed among individuals with SCD when diagnosed with COVID-19 [24,26]. These observations were explained by the tendency of the patients with SCD to avoid adhering to attending their routine follow-up in order to reduce the risk of SARS-CoV-2 transmission. When infected, the treating physicians tended to keep these patients longer as a precautionary measure in order to monitor the expected complications [26,27]. However, this study was conducted between May and July 2022, when all restrictive measures against COVID-19 were already alleviated in Saudi Arabia. The real impact of the COVID-19 pandemic cannot be neglected and, as a consequence, this should be considered when the findings of this study are interpreted.
There are few published studies that have discussed poor adherence in attending outpatient appointments among individuals with SCD at the national and international levels. Thus, this study would pave the way for further studies and actions, especially when it comes from a region with a high prevalence of SCD. Further, this study was based on a survey that was distributed to the patients, or their guardians, with SCD in hematology clinics and used an online platform in order to ensure access to more patients. As such, a non-response bias cannot be excluded due to the barrier of internet accessibility in some areas and the difficulties of using technologies among a certain demographic of the population. In addition, 38% of the participants were university students and this population may have other reasons for poor adherence in attending the appointments that were not included in the current methodology, as well as other psychological, social, and spiritual confounders that should also be considered. Thus, studies based on medical records with various demographic and clinical data could lead to finding other variables associated with poor adherence in attending appointments. In addition, although we succeeded in reaching the different regions in the Jazan province, variations in the number of responses could limit findings originating from this variable. However, we believe that we include real regional data of patients with SCD in the Jazan Province, as well as the patients’ viewpoints of their disease condition and how it could affect their adherence in medical care.

5. Conclusions

Our findings showed that various factors of the health belief model impacted the ability of individuals with SCD to adhere to attending clinic visits in the Jazan Province, Saudi Arabia. These factors were limited to socioeconomic determinants and patients’ residence. Forgetting appointments was the most common reason for the participants in this study to have poor adherence in attending outpatient appointments. In this regard, however, reminders seemed a good solution for most of them. The results of this study will serve as a foundation for further studies as they reflect the awareness and knowledge of patients with SCD and their families in Jazan Province, SA, regarding adherence in attending appointments. Further, future projects should develop ideas that exploit technologies and advancements in telemedicine in order to ensure better adherence in attendance and, therefore, a better quality of life for this vulnerable group.

Author Contributions

Writing—first draft: S.A.A., A.Q.M. and A.H.A.; data analysis: A.H.A.; editing, writing and review, and revised the manuscript: A.H.A.; participated in reviewing the manuscript, concept, and design of the study: S.K.S., A.A.M., M.A.T., S.M.A., A.M.Q., A.A.H. and S.I.A.; supervision: A.H.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The ethical approval to conduct this study was given by the Jazan University Ethical Committee, with approval number REC43/10/220; date: 9 May 2022.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data is available upon request from the researchers.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hazzazi, A.; Ageeli, M.; Alfaqih, A.; Jaafari, A.; Malhan, H.; Bakkar, M. Epidemiology and Characteristics of Sickle Cell Patients Admitted to Hospitals in Jazan Region, Saudi Arabia. J. Appl. Hematol. 2020, 11, 10. [Google Scholar] [CrossRef]
  2. Serjeant, G.R. The Natural History of Sickle Cell Disease. Cold Spring Harb. Perspect. Med. 2013, 3, a011783. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Crosby, L.E.; Modi, A.C.; Lemanek, K.L.; Guilfoyle, S.M.; Kalinyak, K.A.; Mitchell, M.J. Perceived Barriers to Clinic Appointments for Adolescents with Sickle Cell Disease. J. Pediatr. Hematol. Oncol. 2009, 31, 571–576. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Ohnso, P.L.; Lombardo, F.A.; Moore, C.D. Options in the Management of Sickle Cell Disease. US Pharm. 2015, 40, 4–7. [Google Scholar]
  5. Wong, W.Y. Prevention and Management of Infection in Children with Sickle Cell Anaemia. Paediatr. Drugs 2001, 3, 793–801. [Google Scholar] [CrossRef]
  6. Dunbar-Jacob, J.; Mortimer-Stephens, M.K. Treatment Adherence in Chronic Disease. J. Clin. Epidemiol. 2001, 54 (Suppl. 1), S57–S60. [Google Scholar] [CrossRef]
  7. Nelson, E.A.; Maruish, M.E.; Axler, J.L. Effects of Discharge Planning and Compliance with Outpatient Appointments on Readmission Rates. Psychiatr. Serv. 2000, 51, 885–889. [Google Scholar] [CrossRef]
  8. Schectman, J.M.; Schorling, J.B.; Voss, J.D. Appointment Adherence and Disparities in Outcomes among Patients with Diabetes. J. Gen. Intern. Med. 2008, 23, 1685–1687. [Google Scholar] [CrossRef] [Green Version]
  9. Cronin, R.M.; Hankins, J.S.; Byrd, J.; Pernell, B.M.; Kassim, A.; Adams-Graves, P.; Thompson, A.A.; Kalinyak, K.; DeBaun, M.R.; Treadwell, M. Modifying Factors of the Health Belief Model Associated with Missed Clinic Appointments among Individuals with Sickle Cell Disease. Hematology 2018, 23, 683–691. [Google Scholar] [CrossRef] [Green Version]
  10. Haywood, C., Jr.; Lanzkron, S.; Bediako, S.; Strouse, J.J.; Haythornthwaite, J.; Carroll, C.P.; Diener-West, M.; Onojobi, G.; Beach, M.C. IMPORT Investigators Perceived Discrimination, Patient Trust, and Adherence to Medical Recommendations among Persons with Sickle Cell Disease. J. Gen. Intern. Med. 2014, 29, 1657–1662. [Google Scholar] [CrossRef] [Green Version]
  11. Population in Jazan Region by Gender, Age Group, and Nationality (Saudi/Non-Saudi). Available online: https://www.stats.gov.sa/en/6140 (accessed on 23 October 2022).
  12. Alotaibi, M.M. Sickle Cell Disease in Saudi Arabia: A Challenge or Not. J. Epidemiol. Glob. Health 2017, 7, 99. [Google Scholar] [CrossRef]
  13. Alhazmi, A.; Hakami, K.; Abusageah, F.; Jaawna, E.; Khawaji, M.; Alhazmi, E.; Zogel, B.; Qahl, S.; Qumayri, G. The Impact of Sickle Cell Disease on Academic Performance among Affected Students. Children 2021, 9, 15. [Google Scholar] [CrossRef]
  14. Ismail, A.F.; Tarawah, R.A.; Azzouni, Z.Y.; Alharbi, L.T.; Altayyar, R.M. The Relation between Regular Outpatient Follow-up and Frequency of Emergency Department Visits in Sickle Cell Pediatric Patients. Saudi Med. J. 2020, 41, 1324–1329. [Google Scholar] [CrossRef]
  15. Khan, S.A.; AlSiny, F.; Makki, A.; Ali, A.; AlAnsari, I.; Khan, S. Socioeconomic Status Dependent Medical Complexities in Children with Sickle Cell Disease in Saudi Arabia. Saudi J. Biol. Sci. 2020, 27, 1781–1787. [Google Scholar] [CrossRef]
  16. Farber, M.D.; Koshy, M.; Kinney, T.R. Cooperative Study of Sickle Cell Disease: Demographic and Socioeconomic Characteristics of Patients and Families with Sickle Cell Disease. J. Chronic Dis. 1985, 38, 495–505. [Google Scholar] [CrossRef]
  17. Osunkwo, I.; Andemariam, B.; Minniti, C.P.; Inusa, B.P.D.; El Rassi, F.; Francis-Gibson, B.; Nero, A.; Trimnell, C.; Abboud, M.R.; Arlet, J.-B.; et al. Impact of Sickle Cell Disease on Patients’ Daily Lives, Symptoms Reported, and Disease Management Strategies: Results from the International Sickle Cell World Assessment Survey (SWAY). Am. J. Hematol. 2021, 96, 404–417. [Google Scholar] [CrossRef]
  18. Crosby, L.E.; Quinn, C.T.; Kalinyak, K.A. A Biopsychosocial Model for the Management of Patients with Sickle-Cell Disease Transitioning to Adult Medical Care. Adv. Ther. 2015, 32, 293–305. [Google Scholar] [CrossRef] [Green Version]
  19. Weiss, S.; Yang, S.; Zhang, S.; David, M.; Lanzkron, S.M.; Eakin, M. The Telemedicine Experience for Individuals with Sickle Cell Disease. Blood 2021, 138, 1893. [Google Scholar] [CrossRef]
  20. Kheirkhah, P.; Feng, Q.; Travis, L.M.; Tavakoli-Tabasi, S.; Sharafkhaneh, A. Prevalence, Predictors and Economic Consequences of No-Shows. BMC Health Serv. Res. 2016, 16, 13. [Google Scholar] [CrossRef] [Green Version]
  21. Davies, M.L.; Goffman, R.M.; May, J.H.; Monte, R.J.; Rodriguez, K.L.; Tjader, Y.C.; Vargas, D.L. Large-Scale No-Show Patterns and Distributions for Clinic Operational Research. Healthcare 2016, 4, 15. [Google Scholar] [CrossRef] [Green Version]
  22. Robotham, D.; Satkunanathan, S.; Reynolds, J.; Stahl, D.; Wykes, T. Using Digital Notifications to Improve Attendance in Clinic: Systematic Review and Meta-Analysis. BMJ Open 2016, 6, e012116. [Google Scholar] [CrossRef] [PubMed]
  23. Sanger, M.; Jordan, L.; Pruthi, S.; Day, M.; Covert, B.; Merriweather, B.; Rodeghier, M.; DeBaun, M.; Kassim, A. Cognitive Deficits Are Associated with Unemployment in Adults with Sickle Cell Anemia. J. Clin. Exp. Neuropsychol. 2016, 38, 661–671. [Google Scholar] [CrossRef] [PubMed]
  24. Edwards, C.L.; Green, M.; Wellington, C.C.; Muhammad, M.; Wood, M.; Feliu, M.; Edwards, L.; Hill, L.; Sollers, J.J., 3rd; Barksdale, C.; et al. Depression, Suicidal Ideation, and Attempts in Black Patients with Sickle Cell Disease. J. Natl. Med. Assoc. 2009, 101, 1090–1095. [Google Scholar] [CrossRef] [PubMed]
  25. Alhazmi, A.; Moafa, W.; Madkhali, J.; Saifain, O.; Alyahyawi, F.; Adhabi, O.; Alharbi, A. Coronavirus Disease 2019 in Patients with Sickle Cell Disease: A Cross-Sectional Study from Jazan Province, Saudi Arabia. J. Nat. Sci. Med. 2022, 5, 199. [Google Scholar] [CrossRef]
  26. Jain, A.; Patel, A.; Oyoyo, U.; Wiafe, S. Impact of COVID 19 Pandemic on Health Care Utilization for Patients with Sickle Cell Disease-a Specialty Treatment Center Experience. Blood 2021, 138, 4955. [Google Scholar] [CrossRef]
  27. McCloskey, K.A.; Meenan, J.; Hall, R.; Tsitsikas, D.A. COVID-19 Infection and Sickle Cell Disease: A UK Centre Experience. Br. J. Haematol. 2020, 190, e57–e58. [Google Scholar] [CrossRef]
Figure 1. Health belief model for missed appointments.
Figure 1. Health belief model for missed appointments.
Healthcare 10 02376 g001
Figure 2. Participants who reported missing one or more appointments in the previous years.
Figure 2. Participants who reported missing one or more appointments in the previous years.
Healthcare 10 02376 g002
Figure 3. Reasons for missing clinical appointments among participants with SCD.
Figure 3. Reasons for missing clinical appointments among participants with SCD.
Healthcare 10 02376 g003
Figure 4. Factors that improve clinic attendance for participants with SCD.
Figure 4. Factors that improve clinic attendance for participants with SCD.
Healthcare 10 02376 g004
Table 1. Personal characteristics of the study participants (n = 381).
Table 1. Personal characteristics of the study participants (n = 381).
VariablesN%
AgeLess than one year41.0%
1 to 106216.3%
11 to 208221.5%
21 to 3015540.7%
31 to 405514.4%
More than 40236.0%
SexFemale22659.3%
Male15540.7%
Marital StatusSingle25867.7%
Married10828.3%
Divorce or Widow153.9%
EducationNone287.3%
Primary6617.3%
Middle4010.5%
High9524.9%
University14738.6%
Postgrad51.3%
Employment statusUnemployed29176.4%
Employed8422.0%
Retired61.6%
Monthly income in SARLess than 2 k10226.8%
2 k to 5 k11129.1%
5 k to 10 k10928.6%
More than 10 k5915.5%
Living withParents25165.9%
Relatives277.1%
Spouse8422.0%
Alone195.0%
ResidenceGizan6416.8%
Sabya4411.5%
Samtah369.4%
AbuArish10427.3%
Damad266.8%
Alardah236.0%
AhadAlmasarah225.8%
Alhuerrath82.1%
Addarb82.1%
Alaidabi71.8%
Baish174.5%
Other225.8%
SAR: Saudi Riyals.
Table 2. Comparison between individuals who reported missed clinic appointments and those with better adherence for attendance.
Table 2. Comparison between individuals who reported missed clinic appointments and those with better adherence for attendance.
Missed ClinicsNo (n = 146, 38%)Yes (n = 235, 62%)p-Value
VariablesN%n%
AgeLess than one year32.1%10.4%0.003 *
1 to 103423.3%2811.9%
11 to 203826.0%4418.7%
21 to 304732.2%10846.0%
31 to 401711.6%3816.2%
More than 4074.8%166.8%
SexFemale8155.5%14561.7%0.240
Male6544.5%9038.3%
Marital StatusSingle 9867.1%16068.1%0.676
Married4027.4%6828.9%
Divorce or Widow85.5%73.0%
EducationNone149.6%146.0%0.017 *
Primary3624.7%3012.8%
Middle1711.6%239.8%
High3020.5%6527.7%
University4832.9%9942.1%
Postgrad10.7%41.7%
Employment statusUnemployed11780.1%17474.0%0.285
Employed2819.2%5623.8%
Retired10.7%52.1%
Monthly income in SARLess than 2 k4631.5%5623.8%0.022 *
2 k to 5 k4027.4%7130.2%
5 k to 10 k3121.2%7833.2%
More than 10 k2919.9%3012.8%
Living withParents9665.8%15566.0%0.077
Relatives106.8%52.1%
Spouse3020.5%5423.0%
Alone106.8%218.9%
ResidenceGizan3826.0%2611.1%0.006 *
Sabya1711.6%2711.5%
Samtah117.5%2510.6%
AbuArish3624.7%6828.9%
Damad85.5%187.7%
Alardah53.4%187.7%
AhadAlmasarah64.1%166.8%
Alhuerrath00.0%83.4%
Addarb32.1%52.1%
Alaidabi32.1%41.7%
Baish106.8%73.0%
Other96.2%135.5%
SAR: Saudi Riyals. * The alpha criterion for the p-value was set to 0.05.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Alhazmi, S.A.; Maashi, A.Q.; Shabaan, S.K.; Majrashi, A.A.; Thakir, M.A.; Almetahr, S.M.; Qadri, A.M.; Hakami, A.A.; Abdelwahab, S.I.; Alhazmi, A.H. The Health Belief Model Modifying Factors Associated with Missed Clinic Appointments among Individuals with Sickle Cell Disease in the Jazan Province, Saudi Arabia. Healthcare 2022, 10, 2376. https://doi.org/10.3390/healthcare10122376

AMA Style

Alhazmi SA, Maashi AQ, Shabaan SK, Majrashi AA, Thakir MA, Almetahr SM, Qadri AM, Hakami AA, Abdelwahab SI, Alhazmi AH. The Health Belief Model Modifying Factors Associated with Missed Clinic Appointments among Individuals with Sickle Cell Disease in the Jazan Province, Saudi Arabia. Healthcare. 2022; 10(12):2376. https://doi.org/10.3390/healthcare10122376

Chicago/Turabian Style

Alhazmi, Sami A., Afnan Q. Maashi, Shahad K. Shabaan, Aisha A. Majrashi, Mawaeed A. Thakir, Safa M. Almetahr, Alanoud M. Qadri, Abdulaziz A. Hakami, Siddig I. Abdelwahab, and Abdulaziz H. Alhazmi. 2022. "The Health Belief Model Modifying Factors Associated with Missed Clinic Appointments among Individuals with Sickle Cell Disease in the Jazan Province, Saudi Arabia" Healthcare 10, no. 12: 2376. https://doi.org/10.3390/healthcare10122376

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