Introduction

Type II diabetes mellitus (DM) is a common condition that can lead to disabling complications [1]. These complications may be prevented by effective and early DM control [2], as measured by the glycosylated hemoglobin level (HbA1c). Due to the progressive nature of DM, most patients eventually require insulin treatment [3]. Besides oral hypoglycemic agents (OHA) failure, the National Institute for Health and Care Excellence (NICE) also recommended that insulin treatment should be initiated early in patients with DM and very high HbA1c [4].

However, many patients refused insulin as a result of psychological factors. This phenomenon is called psychological insulin resistance (PIR) [5]. The underlying reasons for PIR are widely described [5]. Prevalence of PIR in Hong Kong primary care is higher than that of in Western countries and PIR is shown to be associated with many psychosocial factors [6,7,8]. PIR can be measured by validated instruments such as the insulin treatment appraisal scale (ITAS) [9]. The ITAS was translated and validated in Hong Kong (C-ITAS) [7].

Despite studies being available on ways to tackle PIR—such as identifying obstacles via administration of PIR questionnaires (e.g., ITAS) [10], counselling strategies according to patients’ attitude [11], switching insulin vials to insulin pen and starting at a lower dose of insulin [10]—PIR remains difficult to tackle and no widely used, recommended, or structured program to tackle it is available. As the Hong Kong Government funded general outpatient clinics (GOPC) have one of the shortest consultation times in the world, which is around 7 min per consultation (and often as short as 2–3 min) [12], an individual counselling approach may not be feasible.

DM group education [13, 14] and peer education [15, 16] were shown to improve DM outcomes (e.g., HbA1c) and were cost-effective when compared to individual counselling and to standard care, respectively. The involvement of peers in education is theoretically sound because healthcare professionals often have wrong perceptions of patients’ reasons which underlie PIR [17]; and patients may feel more empathized with when counselled by their peers [18]. According to social cognitive theory, learning occurs not by simply trying different behaviors, but by replicating actions from a role model (an insulin user in the context of the current study) [19].

As there is no well-recognized standardized intervention to ameliorate PIR, this pilot study examined the preliminary effectiveness of a standardized group intervention involving peer education and insulin pen demonstration in DM patients to reduce PIR. As a pilot study, the feasibility and acceptability of this group intervention were also assessed. We hypothesized that this standardized group intervention is acceptable to patients and is effective. This trial therefore provides essential information for undertaking larger trials.

Methods

This study used a quasi-experimental approach, employing mix-method analysis (collection and analysis of both qualitative and quantitative data). Patients were recruited consecutively in a GOPC in Kowloon, Hong Kong when they came to the clinic for doctors’ consultations. Patients who (1) were older than 18 years of age, (2) were diagnosed with type II DM, as defined by the American Diabetes Association [20], (3) were not currently using insulin, (4) either had refused insulin despite the fact that insulin had been recommended by the case doctor [4], or on high dose of oral hypoglycemic agents, as defined by either on maximum dose of metformin or more than half of maximum recommended dose of metformin and sulfonylurea, and (5) could communicate in fluent Cantonese, were included. Patients who had physical/mental illnesses that hindered them from completing the questionnaire or communicate in the group were excluded, e.g., dementia, deafness, and severe visual problems. The recruitment process was stopped after an adequate sample size was obtained. Reasons for refusal were recorded by the recruiting doctors and nurses. DM complication screening (DMCS) or individual counselling (DMIC) was arranged for all participants as dictated by the department of family medicine (Hong Kong Hospital Authority) protocol in order to standardize their multidisciplinary intervention by the DM nurse.

The research was approved by Kowloon West Cluster Research Ethics Committee, Hospital Authority, Hong Kong. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964, as revised in 2013. Written informed consent was obtained at the time of recruitment from all patients for being included in the study. Demographic data collected on recruitment included marital status, educational level, occupation, whether or not they lived with family, if they had friends/family using insulin, and if they had any side effects when using insulin. Clinical data, such as sex, age, baseline DM control (HbA1c), lipid level including low-density lipoprotein level(LDL), hypertension, presence of DM complications, and years of DM diagnosed (according to last visit before recruitment), were traced using the computerized medical record system (CMS). Participants completed the C-ITAS questionnaire once they were recruited.

Intervention

As discussed above, we hypothesized that a group intervention with peer education constitutes an effective intervention. According to social cognitive theory, behavioral changes occur when people observe and learn from the actions of others, following individual cognitive processes [19]. This process is facilitated by adequate knowledge and self-efficacy so “that one can exercise control over a health habit” [19]. Therefore, each session followed a protocol which included (1) general introduction to DM and insulin using a standardized PowerPoint (providing knowledge and enhance self-efficacy) (see Appendix II); (2) sharing by an insulin user (providing learning from a role model); and (3) demonstration of use of insulin pens by the DM nurse (providing knowledge and enhance self-efficacy). The participants could practice the use of the insulin pen if they wished. As previously mentioned, group and peer education appear to be effective for educating patients with DM. This structured program would not only convey knowledge but also address their fear of insulin through peer sharing and directly experiencing the insulin pen.

The insulin motivational groups were held on Saturday mornings in the GOPC. In total, six groups were held. Each group aimed to consist of about 15 patients and lasted for approximately 2 h, and each was led by the doctor and an experienced advanced practice nurse, who has experience in conducting insulin counselling. Fidelity checks for all the groups were conducted by the principal investigator to ensure that the material presented was consistent.

The participants were asked to complete the C-ITAS questionnaire at the end of group session. They were interviewed by phone by another independent doctor in the clinic to fill in the C-ITAS, around 1 month after the group meeting. The number of patients who started to use insulin in the study group was collected about 2–3 months after the group intervention using the CMS.

Instrument: Insulin Treatment Appraisal Scale (C-ITAS [7])

The ITAS is a 20-item instrument that contains 16 negative and 4 positive statements that appraise insulin treatment. Each statement is ranked using a five-point Likert-type scale from 1 to 5. Positive scores are reversed to allow for summation. The total possible score ranges from 0 to 80 [9]. A higher score signifies a more negative appraisal of insulin. The ITAS was developed for clinical use to measure PIR. No cutoff score was used to diagnose PIR.

To Assess Acceptability and Feasibility of the Intervention

To assess acceptability by participants, attendance and qualitative information on the experience of being in the group were collected. Participants were interviewed in person until data saturation, following preliminary analysis of quantitative data. In this study, a small number of patients started insulin after the group. To include these experiences, they were all invited for interview. Otherwise, patients who had attended the group near the end of the trial were preferred because they were more likely to remember the intervention. This semi-structured interview allowed us (1) to understand the experience of the patients attending the group and (2) to explain the results of the quantitative data. The interview was conducted by a research assistant trained by the principal investigator. Semi-structured interviews were conducted in accordance with the interview guide (Table 1).

Table 1 Semi-structured interview for participants

Sample Size

A pilot study involving one patient group was conducted. At a power of 85% and type I error at 5%, 50 participants were needed for total C-ITAS score to drop by more than 6 points. Previous studies showed that a drop of 3–8 points of the ITAS score among DM patients was associated with subsequent willingness to start on insulin [21,22,23].

Statistical Analysis

SPSS 21.0 was used for statistical analysis. Demographic data was presented with the mean and standard deviation for continuous data and proportion for categorical data. Repeated measures ANOVA was utilized to determine if there was a significant change in C-ITAS total scale or subscale scores throughout the three time points (on recruitment, immediate post-group, and 1 month after the group session). Previous studies [7, 24] suggested that analyzing the data using the positive and negative scale of C-ITAS may be more informative. Demographic data was entered into the ANOVA model in order to determine the relationship between different demographic data and the change in C-ITAS scores.

McNemar’s test was used to detect attitude change in each C-ITAS statement before and after the intervention group. Each C-ITAS item was dichotomized as “disagree” and “neutral” (scores of 1–3) or “agree” (scores of 4–5); this dichotomy was created to identify participants who agree with each statement. McNemar’s test was considered the most suitable test for comparison of the dichotomous variable of a related pair.

Data from the interviews was analyzed using thematic analysis, and interviews were audio-recorded, transcribed, and coded thematically. Two researchers then independently cross-checked the coding for reliability. If there was any theme that could not be settled by the two investigators (KYO/KPL), it was settled by the third investigator (BHKY).

Results

Out of 91 patients who agreed to participate in the study, 27 did not show up for the intervention and were lost to the follow-up (Fig. 1). Nine patients left before the completion of intervention (end of the group) because of personal issues (e.g., caring of family members). Two participants were unable to be interviewed by phone (i.e., defaulted phone interview) at 1 month because the participant refused to talk about insulin (n = 1) and was unable to be reached (n = 1).

Fig. 1
figure 1

Recruitment flowchart

The reasons for participants being unwilling to join the study during recruitment included (1) no time to attend; (2) no interest to attend any education group; (3) adamant that they would not change their mind to accept insulin after the DM group; (4) strongly believe to have known all the principles about insulin already; and (5) fear of being persuaded to start insulin after the group.

Demographics of Participants

Fifty-three percent (53%) of participants were female and 89% had at least a primary education or above. Most of them had at least one complication of DM or macrovascular/microvascular cardiovascular complication (62%) (Table 2).

Table 2 Demographics of participants

Effectiveness of the Motivational Group

Repeated measures ANOVA found that the pre-group means of C-ITAS (score 37) were significantly higher than that of the post-group (score 26) and 1 month after post-group (score 30) (p < 0.001). Analysis by repeated measures ANOVA found that the trends of change in both positive appraisal subscale (p = 0.039) and negative subscale (p < 0.001) were statistically significant (Fig. 2).

Fig. 2
figure 2

ITAS score changes. Data was presented with mean (the dot) at each time point with 95% confidence interval (vertical line). Four participants were excluded in analysis because of absence of data at 1 month post group. Repeated measures ANOVA requires complete data in all three time points

The changes of the C-ITAS total score or positive/negative scores over time were not significantly different between different groups, age, sex, marital status, education level, working status, smoking status, if family or friends had history of use of insulin, years of DM diagnosis, latest HbA1c level, or co-morbidities/complications (data not shown).

In total, five participants agreed to or had started insulin therapy after attending the motivation group. Their change in total C-ITAS score (p = 0.48) over time was not significantly different from those of other participants.

Change of C-ITAS Attitudes

As defined by the C-ITAS statements, there were changes in multiple attitudes before and after the group intervention. Some of the effects persisted at 1 month after the motivational group (Table 3).

Table 3 Changes of attitude before and after the group

Acceptability of the Intervention

Ten patients were interviewed and data saturation was achieved. There was high acceptability and the intervention was welcomed by interviewees; no discomfort or adverse reactions were detected. Some of them experienced changes in their perception of insulin after the group, but others admitted that they could not remember the information presented in the group. Some commented that fears specific to individuals about insulin were not addressed in the group. Various suggestions to further improve the group, mostly focused on ways to enhance memory about information presented, were made by a few participants (see Appendix 1). The qualitative and quantitative findings complement each other (Table 4).

Table 4 A comparison of the qualitative and quantitative results

Discussion

This trial provided evidence of the preliminary effectiveness of a well-structured programme to decrease PIR as shown by an international validated instrument, and the intervention was welcomed by patients. As previously stated, there was previously no standardized intervention for PIR. Most previous research suggested individual counselling to target the underlying reasons behind PIR [11], but this is often not possible because our consultation time is very short. We developed a new group intervention to fit into primary care because previously suggested interventions, although effective, were not suitable for primary care: for example, cognitive restructuring psychotherapy [25] would require special training and is not pragmatic in our primary care setting; other studies using experimental learning theory (with patients learning about insulin during hospitalization and with close supervision) are not applicable to our primary care practice [26]. Our intervention is similar to a recently published nurse-led group intervention with mock insulin injections in the USA, yet our trial was the first to describe an intervention involving peer education [27]. Peer education was treasured by many participants in our trial (see Appendix 1). Our study also only involved a one-off group intervention which can be more cost-effective.

The drop in the ITAS score after intervention was shown to predict insulin initiation [21, 28]. The drop in ITAS in the current study was larger or comparable to other studies. ITAS is known to be sensitive to change after the initiation of insulin. In various studies, the negative subscale of ITAS dropped by 3.1–8.3 points after starting insulin while the positive score was not significantly different [21,22,23]. Another study using experimental learning theory in a Chinese hospital found that ITAS dropped in the interventional group around three points more than in the control group [26]. Depending on different time points, our current study showed that the negative/total score decreased by around 5–10 points and the positive score increased by around 1 point. Scores of individual statements (both positive and negative) in C-ITAS improved, signifying a more positive appraisal of insulin and some of the attitude changes persisted for 1 month after the group.

The change of C-ITAS score over time is worth further exploration. The C-ITAS scores improved immediately after the group intervention but the effect was not sustained after 1 month. We speculated that patients might have forgotten information provided during the DM group, which is supported by our interview data. Another possible explanation is that the patients wanted to please the nurse or the instructor of the intervention group and therefore exaggerated their response. The C-ITAS was self-administrated at post-intervention but was administrated over the phone at 1 month following the event. Therefore, how this may have affected the C-ITAS scoring is not known. Although some patients were not able to retain knowledge from the group, no definite recommendations from the patients could be concluded from the patients’ interviews. In future groups, actions to enhance learning could include (1) giving out leaflets summarizing information from the PowerPoint; (2) checking understanding (e.g., a short quiz) after the PowerPoint presentation; and (3) arranging one follow-up session with the advance practice nurse (if patient agrees) at around 1 month after the intervention to answer questions and check understanding.

Although only five out of 55 patients agreed or started to use insulin at 1 month after the intervention, these results were not discouraging. It was because many patients included in the intervention had not yet received maximal dose of combined DM medications—i.e., they may still have time to consider use of insulin. They may change their decision when their DM control worsens or when they are strongly advised by their case doctors to start taking insulin. Acceptance is also a process which takes time and the initiation rate may increase over time. Previous trials usually assess initiation rate at 1 year [21].

The group intervention was well accepted by patients. However, it was clear from the interview that ways to help patient to recall information learned in the group are needed, because many patients could not retain the information that they learned for more than a few months. An individualized approach may be needed because different patients suggested different solutions (see Appendix 1). It might be advisable for healthcare professionals to arrange follow-ups shortly after the group events to identify patient needs, so that the patient can learn and remember more about insulin. An individualized approach on follow-up may also be more effective because some of the reasons behind patients’ PIR may be too specific to be included and discussed in the group (e.g., Patient 2: “can insulin be used in patients with skin allergy?”). The dropout rate of 30% was comparable to other educational groups in GOPCs, contributed to by the absence of a reminder system and the 2 months waiting time between recruitment and the intervention. Because all groups were held on Saturday mornings (because of limited manpower during weekdays), many participants expressed difficulties in applying for leave. The intervention is considered feasible because dropout rates were similar to other interventions in primary care and this may improve if the intervention can be held on other days of the week.

The major weakness of this study was that it involved only one center, had a small sample size, and there was no control group, which may limit the generalizability of the results. Indeed, the small sample size hinders us from drawing definite conclusions. However, as a pilot study, our aim was to assess the preliminary effectiveness of an intervention and to assess its feasibility and acceptability. The sample size was also already calculated from data of one pilot group and using power of 0.85. This aim was achieved and a larger, multicenter study will be needed. The lack of control group limited our interpretation to account for various potential bias and effects (e.g., natural acceptance of insulin by the time instead of the group effect). Yet, these patients followed up for their DM for years at the same clinic. It was unlikely that there were other external factors that decreased their PIR besides the group intervention.

Another limitation of this study was that a significant proportion of patients refused to participant in group education at all. This may limit the generalizability of our study results to patients with very high PIR and/or poor insight into their illnesses. This could be due to our recruitment method: as a self-funded study, the recruiting doctors in GOPC only asked very briefly if their patients were interested in joining this group intervention during the 5-min medical consultation. The response rate would improve if participants are recruited in a family medicine specialist DM clinic where the consultation time for each patient can be up to 20 min, or if recruitment is conducted by a research assistant when funding is available.

As for the strength of this study, it was the first structured program that involved peer education to improve PIR. ITAS, which had a strong validation history, is the recommended measure for PIR for clinical use or research in a recent review [29] and predicts insulin initiation [21]. The current study also employed a mix-method research strategy to help explain data and assess acceptability.

Conclusion

The DM education group involving peer education and insulin pen demonstration could improve PIR and was well accepted by patients. Further larger multicenter studies are needed.