Open Access

Does pain take holidays? Non-attendance rates at a hospital-based pain clinic are elevated during the Jewish high-holidays

  • Motti Ratmansky1, 2Email author,
  • Nitzan Hai3,
  • Tzion Schlossberg2, 4,
  • Aviva Mimouni-Bloch1, 2 and
  • Avraham Schweiger3
Israel Journal of Health Policy Research20176:11

https://doi.org/10.1186/s13584-017-0132-9

Received: 22 September 2015

Accepted: 11 January 2017

Published: 31 March 2017

Abstract

Background

Patient non-attendance is an expensive and persistent problem worldwide with rates between 5–39% reported in the literature. The objective of the study was to assess whether there is a higher incidence of non-attendance in a hospital-based pain clinic during the period of the Jewish High Holidays (Rosh-Hashanah to Sukkot) and whether this is further compounded by other factors, such as demographic characteristics and previous visits to the clinic.

Methods

Records were taken from the Lowenstein Rehabilitation Hospital appointment scheduling system. Data was gathered from two time-periods: High-Holidays and Control for each year, over a total of 6 years 2008–2013. Non-attendance was analyzed by period, by age, by gender and by previous visits to the clinic.

Results

In the entire population studied (666 distinct records), the non-attendance rate was higher during the High-Holidays as compared to the Control period (32 vs. 24.1%; p = 0.030). Non-attendance rates were significantly higher during the Holidays among repeating patients (28.6 vs. 14.8%; p = 0.002) and among women (34.6 vs. 20.7%; p = 0.004).

Discussion

Our data suggest that non-attendance is elevated during the High-Holidays in specific groups of patients, namely, repeating patients and women. Despite no direct inquiry into the reasons for non-attendance, we speculate that the elevated well-being and familial support during the holidays contribute to the patients’ ability to cope with persistent pain and possibly directly reduce the amount of pain, leading to patients missing their pain clinic appointments.

Conclusion

Our results, provided they can be corroborated by larger-scale studies, can assist in scheduling policy adjustments such as avoidance of appointments during the High-holidays for specific patient populations and more rigorous reminder efforts during these times of the year that may lead to reduction in overall non-attendance rates in the pain clinic. Further, our data provide an impetus for further studies of non-attendance patterns among pain clinic patients, in order to acquire a better understanding of the reasons for non-attendance and develop strategies to reduce it and thus contribute to the continuous improvement of the Israeli health systems as well as others worldwide.

Keywords

Pain management Pain clinic Non-attendance Gender differences

Background

The phenomenon of patients missing their appointments at medical clinics is well-documented. Studies on non-attendance rates report a fairly wide range of rates in clinics and health care centers in various medical fields. Among the findings are non-attendance rates of up to 12% in the United Kingdom, 5–55% in the United States, 4% in Denmark, 15% in Spain, and 27–36% in Israel [18].

This phenomenon results in a significant waste of time and money. In view of its economic consequences, and given a significant rate of non-attendance, most research in this area was carried out to improve the efficiency of the appointment system and to find economic solutions for reducing the phenomenon, such as different methods for providing notifications, reminders, and incentives to patients [5]. Some of the studies attempted to examine the reasons for patients not showing up for their appointments. Age, gender, socioeconomic status, accessibility of the clinic, the extent of the physician’s employment at the clinic, and the degree of familiarity with the physician are among the many and varied factors identified as having an impact on non-attendance rates [1, 2, 912]. Others focused on characterizing the profile of the population of patients who missed their appointments, depending on the specialization of the clinic, with reference to various parameters such as age, family status, severity of symptoms, substance abuse, and others [10, 13].

A different aspect of patient non-attendance is revealed by examining the phenomenon’s seasonal and monthly variation throughout the year, with specific focus on school vacations and holidays. This is a factor that can be addressed by the health care system, and may harbor a simple, cost-effective, and efficient solution: adjustment of appointment scheduling to reduce the overall frequency of non-attendance [3].

One study found a significant increase in non-attendance rates during the summer among patients treated at an allergy clinic [14]. Others found differences between certain days of the week [3].

At the same time, it appears that the psychosocial mechanisms that may explain why patients miss appointments made for dates falling on specific time periods such as holidays and half holidays (Hol Hamoed, in Israel) have not been thoroughly examined. A study looking at the effects of Christmas on the psychiatric population in the US showed that during this period there is a general decline in the use of psychiatric emergency services and a decrease in self-inflicted injuries and suicide attempts. The researchers concluded that Christmas has a protective effect with regard to many forms of psychopathology, except for increases in mood deterioration and cases of alcohol poisoning [15].

Another study examined the phenomenon of rebound, reflected by an increase in the number of patients seeking psychiatric services immediately after Christmas [16]. In contrast, studies have found that hospital visits due to chronic obstructive pulmonary disease exacerbations and cardiac events show peaks during Christmas [1719].

Chronic pain is one of the most common health problems, affecting about 20% of the population [20, 21]. It can take the form of back pain, headaches and joint pain, among others, and it can severely diminish the patient’s physical and mental functioning [20]. There is a growing realization that persistent pain is a complex and multi-dimensional experience affected by biological, psychological, social, and spiritual factors [22]. According to the bio-psychosocial model of pain, which is now the most accepted heuristic approach to chronic pain [23, 24], various psychological states play a potential role in mediating the experience of pain [22]. In contrast to the emphasis placed by the biomedical model on the processes of disease, the integrated model regards the disease as an interaction between the various parameters, which shapes the person’s response to pain and affects one’s psychological and physical functioning [20, 24, 25].

Patient non-attendance is particularly relevant in the context of pain clinics that serve the community, mainly because of the long waiting-times prior to an appointment, exacerbated by the high degree of distress experienced by patients waiting for the appointment. To the best of our knowledge, no attempt has been made to examine the non-attendance rate of patients at pain clinics, and specifically not in the context of different periods throughout the year.

The Jewish High Holidays are a 3-week period, spanning the time from the Eve of the Jewish New Year (Rosh-Hashanah) until the end of Sukkot. Anecdotal evidence from pain specialists in Israel suggests that despite the suffering associated with chronic pain and the non-negligible waiting times, the non-attendance rate of pain clinic patients increases during the High Holidays.

The objective of the study was to examine whether there is a higher incidence of non-attendance in the pain clinic during the High Holidays, and whether this is further compounded by other factors, such as demographic characteristics and previous visits to the clinic. This analysis could potentially provide us with the profile of a patient who could be expected, with some degree of accuracy, to miss their High-Holiday appointment and allow us to consider appointment scheduling policies accordingly. In the long run, such adjustments may reduce the burden imparted by non-attendance and contribute to the ongoing improvement of the health system in Israel.

Methods

Population

Records were taken from the Lowenstein Rehabilitation Hospital appointment scheduling system. The study does not require ethical approval/statement.

Data were gathered from two time-periods: High-Holidays and Control periods for each year, over a total of 6 years 2008–2013. Exact dates of the holidays and Control periods are presented in Table 1.
Table 1

Date Ranges by Year

 

2008

2009

2010

2011

2012

2013

Control

9/8–30/8

29/7–19/8

19/7–9/8

8/8–29/8

27/7–17/8

15/7–5/8

High-Holidays

30/9–21/10

19/9–10/10

9/9–30/9

29/9–20/10

17/9–8/10

5/9–26/9

The sample included all scheduled patients and divided into two groups: 247 patients scheduled for appointments at the clinic during the High Holidays and 419 patients with appointments scheduled during the Control period. Factors examined included: gender, age (all patients are adults; ages were grouped into categories: ≤44 years, 45–64 years and 65+) and whether this was the patient’s first visit or a repeat visit (a repeating patient was defined as a patient who had visited the clinic in the 3 years preceding the study).

Non-attendance was defined as an occurrence in which a patient had an appointment scheduled in the hospital’s scheduling system and had not arrived at the clinic for the appointment. Patients who had cancelled their appointment ahead of time were not included in the sample.

Statistical analysis

Results were presented in contingency tables including counts and percentages. The proportion and 95% confidence intervals were calculated for each time period. Chi square test or Fisher exact test were used to compare the non-attendance rate for each sub group.

Analyses were carried out using IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0.0.1. Armonk, NY: IBM Corp figures were produced using R-project for statistical computing 3.1.2.

Results

Demographic characteristics

The study was based on 666 distinct records, 43.5% of them (290 records) first time visitors. Females comprised 55.6% of records; the youngest age group, ≤44 years, was the smallest (111 records, 16.8%), followed by 45–64 years (249 records, 37.6%) and 65 years or older (302 records, 45.6%). The raw data used in the analyses is provided in Additional file 1 Table S1.

Non-attendance rate in the entire studied population

In the entire studied population for the combined study periods, the non-attendance rate was 27%. The non-attendance rate was higher during the High Holidays (32%) as compared to the Control period (24.1%) (p = 0.030, Fisher exact test; see Table 2).
Table 2

Non-Attendance Rates Summary Table

Measure

Level

Holidays

Control

Combined Periods

Non-attendance rate by period

Non-attendance rate by factor

Arrived

Did not Arrive

Arrived

Did not Arrive

Arrived

Did not Arrive

N

%

N

%

N

%

N

%

N

%

N

%

p-value*

p-value**

Period

 

168

68.0%

79

32.0%

318

75.9%

101

24.1%

486

73.0%

180

27.0%

0.030

-

Age Group

18–44

27

67.5%

13

32.5%

48

67.6%

23

32.4%

75

67.6%

36

32.4%

1.000

<0.001

45–64

53

55.8%

42

44.2%

107

69.5%

47

30.5%

160

64.3%

89

35.7%

0.030

65+

88

80.0%

22

20.0%

163

84.9%

29

15.1%

251

83.1%

51

16.9%

0.338

Gender

Male

81

71.1%

33

28.9%

130

71.4%

52

28.6%

211

71.3%

85

28.7%

1.000

0.382

Female

87

65.4%

46

34.6%

188

79.3%

49

20.7%

275

74.3%

95

25.7%

0.004

Repeated Visit

No

68

63.6%

39

36.4%

117

63.9%

66

36.1%

185

63.8%

105

36.2%

1.000

<0.001

Yes

100

71.4%

40

28.6%

201

85.2%

35

14.8%

301

80.1%

75

19.9%

0.002

*p-value for the comparison between the Holiday and Control periods for each patient group

**p-value for the comparison between patient groups for non-attendance rate in the combined study periods

Non-attendance rate among repeating patients

In the combined study periods, the non-attendance rate among repeating patients (19.9% [95% CI:15.9%, 24.2%]) was significantly lower than among new patients (36.2% [95% CI:30.7%, 39.5%]) (p <0.001, Fisher’s exact test). Among repeating patients, the non-attendance rate was significantly higher (p = 0.002, Fisher exact test) during the High Holidays as compared to the Control period. In contrast, there was no difference in non-attendance rates between the High Holidays and Control periods among new patients (see Fig. 1).
Fig. 1

Ninety-five percent Confidence Interval for Non-Attendance Rate among Repeating and Non-Repeating Patients. Among repeating patients, the non-attendance rate was significantly higher during the High Holidays as compared to the Control period. In contrast, there was no difference in non-attendance rates between the High Holidays and Control periods among non-repeating (new) patients

Non-attendance rate by gender

In the combined study periods, there were no significant differences in non-attendance rates between men (28.7% [95% CI: 23.6%, 32.6%]) and women (25.7% [95% CI:21.1%,29.4%]) p = 0.382.

Among women, the non-attendance rate was significantly higher (p = 0.004, Fisher exact test) during the High Holidays as compared to the Control period. In contrast, there was no difference in non-attendance rates between the High Holidays and Control periods among men (see Fig. 2).
Fig. 2

Ninety-five percent Confidence Interval for Non-Attendance Rate among Men and Women. Among women, the non-attendance rate was significantly higher during the High Holidays as compared to the Control period. In contrast, there was no difference in non-attendance rates between the High Holidays and Control periods among men

Non-attendance rate by Age group

The non-attendance rate in the combined study periods was significantly lower (p <0.001, chi square test) among the eldest patients (65+; 16.9%) compared to the younger groups (35.7% for the group of 45–64 years old and 32.4% for the group of 18–44).

In the 45–64 years age group there was a significantly higher non-attendance rate during the High Holidays as compared to the Control period (44.2 vs. 30.5%, p = 0.030 Fisher’s exact test; see Table 2).

Discussion

Patient non-attendance is an expensive and persistent problem worldwide, with rates between 5 and 39% reported in the literature [2]. Anecdotal evidence from pain specialists in Israel, suggesting that there is a peak in non-attendance in pain clinics during the High Holidays, has prompted the present systematic examination of this issue. This was further encouraged by the fact that there is a long, presumably distressful, wait for pain clinic appointments. We sought to establish this phenomenon, and improve understanding of the factors that affect non-attendance, thus leading to future solutions for reducing these rates.

In this study, we set out to find whether there was a difference in non-attendance rates in a hospital-based pain clinic during the High Holidays. We found that in the entire studied patient population, there was a statistically significant higher rate of non-attendance during the High Holidays. The difference was more pronounced among women and repeating patients.

The holiday period is characterized by social and family gatherings, leisure activities, a break from routine, and religious or spiritual engagement. It is possible that these provide a variety of opportunities for receiving social and instrumental support, distraction from the pain, and reduced focus on the body and ruminations about one’s distress. The holidays can also serve to distance individuals from everyday stressors and give them an opportunity to relax, reduce their anxiety, and improve their mood. These factors have been generally accepted as assisting in better handling of chronic pain and even in alleviating it [22, 23, 26, 27].

In our study, the group of repeating patients exhibited a lower non-attendance rate in the combined study periods compared to first time (new) patients. However, there was a significantly higher non-attendance rate during the High Holidays among repeating patients. Our study did not include questionnaires, and we did not ask patients to provide reasons for their non-attendance. We can only speculate that repeating patients generally keep their pain clinic appointments to maintain their long-term care. It is possible that elevated psychological well-being during the High Holidays is a factor in promoting the patient’s confidence that missing an appointment during the High Holidays will not irrevocably disrupt their long-term pain management. There was no inter-period difference in non-attendance rates among first time patients.

Some studies have found an elevated rate of non-attendance in women as compared to men [9], and others found the opposite [10]. Epidemiologic and clinical findings indicate that the burden of pain is substantially greater among women, and that women are more likely to seek health care for pain [28]. In the present sample of pain clinic patients, the proportion of women was 55.6%. In the combined study periods, there was no meaningful difference in attendance rates between men and women. However, there was a much higher, statistically significant, non-attendance rate among women during the High Holidays that was not observed in men. Other than the finding that the incidence of para-suicide cases was significantly lower during Christmas in women, but not in men [29], we did not find any studies in the literature that associated holidays and health complaints differentially between genders. As this was an archival study, we have no information regarding the reasons for non-attendance. The associations of affective variables with pain responses often differ for women as compared to men [28]. Thus, we can hypothesize that the positive psychological status and familial support during the holidays contribute to women’s ability to manage their pain without clinical intervention, more so than for men. Nevertheless, an alternative explanation could be women’s increased maternal and domestic task burden associated with the holiday period festivities. To assess this reasoning, such hypotheses should be studied further in the future using questionnaires enabling patients to provide reasons for their non-attendance.

In accordance with other studies, we found that non-attendance rates among the eldest patients were the lowest [9, 10, 12]. Among 45–64-year-olds, the non-attendance rate during the High Holidays was significantly higher as compared to the Control period. No meaningful inter-period difference was observed for the other age groups.

Our data suggest that non-attendance is elevated during the Jewish High Holidays, specifically among certain groups of patients, including repeating patients and women. The healthcare system and the patient have a shared interest in patients keeping their appointments, and thus behavior modification (“nudge”) methods, based on theories from the realm of behavioral sciences may be the key to reducing rates of non-attendance [30]. There is consistent evidence that reminder systems improve appointment attendance rates across a range of health care settings and patient population sub-groups [31, 32]. Different strategies to deal with non-attendance rates have been investigated, ranging from the more paternalistic approach of formulating a contract with the patient to attend future appointments [33] to the more relevant technological means of reminder systems such as phone calls, Short Message Service (SMS), Multimedia Messaging Service (MMS) and e-mails [31, 3437].

“Simple” reminder massages, containing the appointment details (date, time, and location) were most frequently investigated and found to increase attendance rates compared to no-reminders. However, “reminder-plus” messages, that provide additional information (e.g. notification of appointment with a health promotional message or additional information regarding the medical procedures and the importance of follow-up) were found to be more effective than simple reminders at reducing non-attendance [31]. Text messaging reminders were found to be similar to telephone reminders in terms of their effect on attendance rates, and seeing as they cost less than telephone reminders, to be more-cost effective and to be superior in effect to postal reminders [32, 36]. Stating appointment costs in SMS reminders was found to further reduce non-attendance rates [37].

Based on our findings and the literature reviewed, we suggest simple strategies to increase attendance rates overall in the pain clinic and specifically during the High Holidays. Those can roughly divided into two broad mechanisms: behavior modification methods and policy adjustments.

The behavior modification methods can include the following:
  1. 1.

    Reminders: using the appropriate mode of technology (phone-based text messaging), preferably containing a “reminder-plus” message content tailored to specifically fit sub groups of patients for whom we have noted higher rates of non-attendance.

     
  2. 2.

    Populations in which high rates of non-attendance have been identified will get reminders via more than one mode of delivery (i.e. SMS, MMS and phone calls).

     
  3. 3.

    During the High Holidays, patients should be reminded multiple times, starting from a week before to a day before their appointment

     
  4. 4.

    Easy rescheduling: employing multiple systems for cancelling and rescheduling appointments such as automated SMS cancellation services, email services and other types of online scheduling systems.

     
Appointment scheduling policy adjustments could include the following:
  1. 1.

    Adjustment of clinic hours according to demand, by adding evening sessions to deliver more flexible hours to meet patients’ needs during the peak holiday period. This has been shown to be an effective strategy in a number of Family health clinics (Infant Care Centers) in Israel, have successfully raised attendance rates by adjusting their opening hours to meet the specific needs of the local working-mothers population.

     
  2. 2.

    Adjustment of appointment scheduling: avoiding scheduling appointments during peak holiday times and offering alternative dates before or after the holidays, this should be strongly suggested to women and to repeating patients.

     

Using the appropriate reminder strategy and the right scheduling policy adjustments can lead to a reduction of non-attendance rates in the pain clinic and the resource waste associated with it.

The pain clinic is an interesting test-case for a more general phenomenon of non-attendance, due to the high price (of physical distress and long waiting periods) endured by the patient. Our study was based on archival data; future studies would preferably include follow-up interviews and questionnaires with non-attenders to allow for better understanding of the reasons underlying non-attendance in general and specifically during the holidays. In the future, it would be interesting to further characterize the non-attending patients and more finely define specific groups of patients appropriate for further intervention, possibly combining data from other pain clinics.

Conclusion

We found that among patients of a hospital-based pain clinic, there was a statistically significant higher rate of non-attendance during the High Holidays. The difference was more pronounced among women and repeating patients. Our opinion is that a combination of behavior modification methods and appointment scheduling policy adjustments can reduce the non-attendance rates.

We hope that this study will help in the promotion of a wide array of non-attendance studies in the Israeli health care system, providing data that will allow the informed formulation of solutions to this problem and contribute to the improvement of health systems in Israel and worldwide.

Declarations

Acknowledgements

We thank Dr. Shiri Diskin for her assistance in manuscript preparation.

Funding

This study was not funded.

Availability of data and materials

The raw data used for the statistical analyses presented in the manuscript is provided in Additional file 1 Table S1.

Authors’ contributions

MR conceived of the study, participated in the study design and wrote the manuscript. NH collected the data. TS participated in writing the manuscript. AMB participated in the design of the study and helped to draft the manuscript. AS participated in its design. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

The study does not include any identifying information and does not present any data pertaining to an individual patient and hence, does not require consent for publication.

Ethics approval and consent to participate

The study does not include any identifying information and does not present any data pertaining to an individual patient and hence, does not require ethical approval/statement.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Pain Unit, Loewenstein Rehabilitation Hospital
(2)
Sackler Faculty of Medicine, Tel Aviv University
(3)
The Academic College of Tel Aviv
(4)
Leumit health fund

References

  1. Canizares MJ, Penneys NS. The incidence of nonattendance at an urgent care dermatology clinic. J Am Acad Dermatol. 2002;46:457–9.View ArticlePubMedGoogle Scholar
  2. Collins J, Santamaria N, Clayton L. Why outpatients fail to attend their scheduled appointments: a prospective comparison of differences between attenders and non-attenders. Aust Health Rev Publ Aust Hosp Assoc. 2003;26:52–63.View ArticleGoogle Scholar
  3. Ellis DA, Jenkins R. Weekday affects attendance rate for medical appointments: large-scale data analysis and implications. PLoS One. 2012;7:e51365.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Gatrad AR. A completed audit to reduce hospital outpatients non-attendance rates. Arch Dis Child. 2000;82:59–61.View ArticlePubMedPubMed CentralGoogle Scholar
  5. George A, Rubin G. Non-attendance in general practice: a systematic review and its implications for access to primary health care. Fam Pract. 2003;20:178–84.View ArticlePubMedGoogle Scholar
  6. Goldbart AD, Dreiher J, Vardy DA, Alkrinawi S, Cohen AD. Nonattendance in pediatric pulmonary clinics: an ambulatory survey. BMC Pulm Med. 2009;9:12.View ArticlePubMedPubMed CentralGoogle Scholar
  7. Penneys NS, Glaser DA. The incidence of cancellation and nonattendance at a dermatology clinic. J Am Acad Dermatol. 1999;40:714–8.View ArticlePubMedGoogle Scholar
  8. Zirkle MS, McNelles LR. Nonattendance at a hospital-based otolaryngology clinic: a preliminary analysis within a universal healthcare system. Ear Nose Throat J. 2011;90:E32–4.PubMedGoogle Scholar
  9. Cohen AD, Dreiher J, Vardy DA, Weitzman D. Nonattendance in a dermatology clinic—a large sample analysis. J Eur Acad Dermatol Venereol. 2008;22:1178–83.View ArticlePubMedGoogle Scholar
  10. Hamilton W, Round A, Sharp D. Patient, hospital, and general practitioner characteristics associated with non-attendance: a cohort study. Br J Gen Pract J R Coll Gen Pract. 2002;52:317–9.Google Scholar
  11. Murdock A, Rodgers C, Lindsay H, Tham TCK. Why do patients not keep their appointments? prospective study in a gastroenterology outpatient clinic. J R Soc Med. 2002;95:284–6.View ArticlePubMedPubMed CentralGoogle Scholar
  12. Neal RD, Hussain-Gambles M, Allgar VL, Lawlor DA, Dempsey O. Reasons for and consequences of missed appointments in general practice in the UK: questionnaire survey and prospective review of medical records. BMC Fam Pract. 2005;6:47.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Pillai R, Bhangu N, Narayanan M, Yoong W. A demographic study to profile non-attenders at a gynaecology outpatient clinic. J Obstet Gynaecol J Inst Obstet Gynaecol. 2012;32:156–8.View ArticleGoogle Scholar
  14. Rodríguez Pacheco R, Negro Alvarez JM, Campuzano López FJ, Pellicer Orenes F, Murcia Alemán T, Serrano Santos E, et al. Non-compliance with appointments amongst patients attending an allergology clinic, after implementation of an improvement plan. Allergol Immunopathol (Madr). 2007;35:136–44.View ArticleGoogle Scholar
  15. Halpern SD, Doraiswamy PM, Tupler LA, Holland JM, Ford SM, Ellinwood EH. Emergency department patterns in psychiatric visits during the holiday season. Ann Emerg Med. 1994;24:939–43.View ArticlePubMedGoogle Scholar
  16. Sansone RA, Sansone LA. The christmas effect on psychopathology. Innov Clin Neurosci. 2011;8:10–3.Google Scholar
  17. Johnston NW, McIvor A, Lambert K, Greene JM, Hussack P, Gerhardsson de Verdier M, et al. The Christmas season as a risk factor for chronic obstructive pulmonary disease exacerbations. Can Respir J J Can Thorac Soc. 2010;17:275–81.Google Scholar
  18. Johnston NW. The similarities and differences of epidemic cycles of chronic obstructive pulmonary disease and asthma exacerbations. Proc Am Thorac Soc. 2007;4:591–6.View ArticlePubMedGoogle Scholar
  19. Kloner RA. Natural and unnatural triggers of myocardial infarction. Prog Cardiovasc Dis. 2006;48:285–300.View ArticlePubMedGoogle Scholar
  20. Bushnell MC, Čeko M, Low LA. Cognitive and emotional control of pain and its disruption in chronic pain. Nat Rev Neurosci. 2013;14:502–11.View ArticlePubMedPubMed CentralGoogle Scholar
  21. van Hecke O, Torrance N, Smith BH. Chronic pain epidemiology and its clinical relevance. Br J Anaesth. 2013;111:13–8.View ArticlePubMedGoogle Scholar
  22. Wachholtz AB, Pearce MJ, Koenig H. Exploring the relationship between spirituality, coping, and pain. J Behav Med. 2007;30:311–8.View ArticlePubMedGoogle Scholar
  23. Campbell CM, Edwards RR. Mind-body interactions in pain: the neurophysiology of anxious and catastrophic pain-related thoughts. Transl Res. 2009;153:97–101.View ArticlePubMedPubMed CentralGoogle Scholar
  24. Gatchel RJ, Peng YB, Peters ML, Fuchs PN, Turk DC. The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychol Bull. 2007;133:581–624.View ArticlePubMedGoogle Scholar
  25. Turk DC, Okifuji A. Psychological factors in chronic pain: evolution and revolution. J Consult Clin Psychol. 2002;70:678–90.View ArticlePubMedGoogle Scholar
  26. Campbell P, Wynne-Jones G, Dunn KM. The influence of informal social support on risk and prognosis in spinal pain: a systematic review. Eur J Pain. 2011;15:444.e1–444.e14.Google Scholar
  27. Goodin BR, Bulls HW. Optimism and the experience of pain: benefits of seeing the glass as half full. Curr Pain Headache Rep. 2013;17:329.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Fishman S, Ballantyne J, Rathmell JP. Sex and gender differences in pain. Bonicas Manag. Pain. Baltimore: Lippincott Williams & Wilkins; 2010. p. 87–90.Google Scholar
  29. Masterton G. Monthly and seasonal variation in parasuicide. A sex difference. Br J Psychiatry. 1991;158:155–7.View ArticlePubMedGoogle Scholar
  30. Aggarwal A, Davies J, Sullivan R. “Nudge” and the epidemic of missed appointments. J Health Organ Manag. 2016;30:558–64.View ArticlePubMedGoogle Scholar
  31. McLean SM, Booth A, Gee M, Salway S, Cobb M, Bhanbhro S, et al. Appointment reminder systems are effective but not optimal: results of a systematic review and evidence synthesis employing realist principles. Patient Prefer Adherence. 2016;10:479–99.View ArticlePubMedPubMed CentralGoogle Scholar
  32. Peterson K, McCleery E, Anderson J, Waldrip K, Helfand M. Evidence brief: comparative effectiveness of appointment recall reminder procedures for follow-up appointments. In: VA evid.-based synth. Program evid. Briefs [internet]. Washington (DC): Department of Veterans Affairs (US); 2011. [cited 2016 Nov 20]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK384609/.Google Scholar
  33. Macharia WM, Leon G, Rowe BH, Stephenson BJ, Haynes RB. An overview of interventions to improve compliance with appointment keeping for medical services. JAMA. 1992;267:1813–7.View ArticlePubMedGoogle Scholar
  34. Fairhurst K, Sheikh A. Texting appointment reminders to repeated non-attenders in primary care: randomised controlled study. Qual Saf Health Care. 2008;17:373–6.View ArticlePubMedGoogle Scholar
  35. Perron NJ, Dao MD, Kossovsky MP, Miserez V, Chuard C, Calmy A, et al. Reduction of missed appointments at an urban primary care clinic: a randomised controlled study. BMC Fam Pract. 2010;11:79.View ArticlePubMedGoogle Scholar
  36. Gurol-Urganci I, de Jongh T, Vodopivec-Jamsek V, Atun R, Car J. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst Rev. 2013;12:CD007458.Google Scholar
  37. Hallsworth M, Berry D, Sanders M, Sallis A, King D, Vlaev I, et al. Stating appointment costs in SMS reminders reduces missed hospital appointments: findings from Two randomised controlled trials. PLoS One. 2015;10:e0137306.View ArticlePubMedPubMed CentralGoogle Scholar

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