Satisfaction of well-controlled type 2 diabetes patients with three-monthly and six-monthly monitoring

Optimizing the frequency of physician encounters in follow - up care for patients with type 2 diabetes mellitus: a systematic review

BACKGROUND

Decisions on the frequency of physician encounters for patients with type 2 diabetes mellitus (T2DM) have significant impacts on both patients' health outcomes and burden on health systems, whereas definitive intervals for physician encounters are still lacking in most clinical guidelines. This study systematically reviewed the existing evidence evaluating different frequencies of physician encounters among T2DM patients.

METHODS

Systematic search of studies evaluating different visit frequencies for follow - up care in T2DM patients was performed in MEDLINE Ovid, Embase Ovid, and Cochrane library from database inception to 25 March 2022. Studies on the follow - up encounters driven by non - physicians and those on the episodic visits in the acute care settings were excluded in the screening. Citation searching was conducted via Google Scholar on the identified papers after screening. The risk of bias was assessed using Cochrane RoB2 tool for randomized controlled trials and Newcastle - Ottawa Scale for cohort studies. Findings were summarized narratively.

RESULTS

Among 6363 records from the database search and 231 references from the citation search, 12 articles were eligible for in - depth review. The results showed that for patients who had not achieved cardiometabolic control, intensifying encounter frequency could enhance medication adherence, shorten the time to achieve the treatment target, and improve the patients' quality of life. However, for the patients who had already achieved the treatment targets, less frequent encounters were equivalent to intensive encounters in maintaining their cardiometabolic control, and could save considerable healthcare costs without substantially lowering the quality of care and patients' satisfaction.

CONCLUSION

Existing evidence suggested that the optimal frequency of physician encounters for patients with T2DM should be individualized, which can be stratified by patients' risk levels based on the cardiometabolic control to guide the differential scheduling of physician encounters in the follow - up. More research is needed to determine how to optimize the frequency of physician encounters for this large and heterogeneous population.

Experiences with tailoring of primary diabetes care in well-organised general practices: a mixed-methods study

Background

Dutch standard diabetes care is generally protocol-driven. However, considering that general practices wish to tailor diabetes care to individual patients and encourage self-management, particularly in light of current COVID-19 related constraints, protocols and other barriers may hinder implementation. The impact of dispensing with protocol and implementation of self-management interventions on patient monitoring and experiences are not known. This study aims to evaluate tailoring of care by understanding experiences of well-organised practices 1) when dispensing with protocol; 2) determining the key conditions for successful implementation of self-management interventions; and furthermore exploring patients’ experiences regarding dispensing with protocol and self-management interventions.

Methods

in this mixed-methods prospective study, practices (n = 49) were invited to participate if they met protocol-related quality targets, and their adult patients with well-controlled type 2 diabetes were invited if they had received protocol-based diabetes care for a minimum of 1 year. For practices, study participation consisted of the opportunity to deliver protocol-free diabetes care, with selection and implementation of self-management interventions. For patients, study participation provided exposure to protocol-free diabetes care and self-management interventions.

Qualitative outcomes (practices: 5 focus groups, 2 individual interviews) included experiences of dispensing with protocol and the implementation process of self-management interventions, operationalised as implementation fidelity. Quantitative outcomes (patients: routine registry data, surveys) consisted of diabetes monitoring completeness, satisfaction, wellbeing and health status at baseline and follow-up (24 months).

Results

Qualitative:

In participating practices (n = 4), dispensing with protocol encouraged reflection on tailored care and selection of various self-management interventions

A focus on patient preferences, team collaboration and intervention feasibility was associated with high implementation fidelity

Quantitative:

In patients (n = 126), likelihood of complete monitoring decreased significantly after two years (OR 0.2 (95% CI 0.1–0.5), p < 0.001)

Satisfaction decreased slightly (− 1.6 (95% CI -2.6;-0.6), p = 0.001)

Non-significant declines were found in wellbeing (− 1.3 (95% CI -5.4; 2.9), p = 0.55) and health status (− 3.0 (95% CI -7.1; 1.2), p = 0.16).

Conclusions

To tailor diabetes care to individual patients within well-organised practices, we recommend dispensing with protocol while maintaining one structural annual monitoring consultation, combined with the well-supported implementation of feasible self-management interventions. Interventions should be selected and delivered with the involvement of patients and should involve population preferences and solid team collaborations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07198-2.

Effect of Visit Frequency of Pharmacist-Led Diabetes Medication Management Program

BACKGROUND

Pharmacists have a positive effect on clinical outcomes in chronic disease state management, however, few studies have evaluated the effect that frequency of visits may have on diabetes biomarkers such as hemoglobin A1c and blood pressure readings.

METHODS

Under the medication management program (MMP), patients with diabetes were seen monthly by pharmacists until early 2015, when time between visits was increased to every 3 months. A retrospective chart review was conducted to evaluate the primary outcome of the percent change in hemoglobin A1c and blood pressure after the change in visit frequency.

RESULTS

In the 303 patients enrolled, no statistical difference existed between the pre and post average A1c (p-value = 0.10). The intermediate average A1c was statistically lower from the preintervention mean A1c (p-value = 0.001) but not from the postintervention mean A1c (p-value = 0.30). No statistical differences were seen between systolic blood pressure and diastolic blood pressure.

CONCLUSION

Patients who have been seen by a clinical pharmacist more frequently (every month or every other month) for several years may be able to maintain their reduction in A1c with less-frequent visits (every 3 to 6 months).

Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017

The focus of this study is the use of machine learning methods that combine feature selection and imbalanced process (SMOTE algorithm) to classify and predict diabetes follow-up control satisfaction data. After the feature selection and unbalanced process, diabetes follow-up data of the New Urban Area of Urumqi, Xinjiang, was used as input variables of support vector machine (SVM), decision tree, and integrated learning model (Adaboost and Bagging) for modeling and prediction. The experimental results show that Adaboost algorithm produces better classification results. For the test set, the G-mean was 94.65%, the area under the ROC curve (AUC) was 0.9817, and the important variables in the classification process, fasting blood glucose, age, and BMI were given. The performance of the decision tree model in the test set is relatively lower than that of the support vector machine and the ensemble learning model. The prediction results of these classification models are sufficient. Compared with a single classifier, ensemble learning algorithms show different degrees of increase in classification accuracy. The Adaboost algorithm can be used for the prediction of diabetes follow-up and control satisfaction data.

Implementation of a Structured Diabetes Consultation Model to Facilitate a Person-Centered Approach: Results From a Nationwide Dutch Study

OBJECTIVE

We assessed both from a patient and provider perspective the usefulness and added value of a consultation model that facilitates person-centered diabetes care.

RESEARCH DESIGN AND METHODS

The model consists of 1) inventory of disease and patient-related factors; 2) setting personal goals; 3) choosing treatment; and 4) determination of required care. It was implemented in 47 general practices and 6 hospital outpatient clinics. Providers were trained, and patients were recommended to prepare their visit. All filled out a questionnaire after every consultation. Differences between primary and secondary care practices and between physician-led and nurse-led consultations were analyzed.

RESULTS

Seventy-four physicians and thirty-one nurses participated, reporting on 1,366 consultations with type 2 diabetes patients. According to providers, the model was applicable in 72.4% (nurses 79.3% vs. physicians 68.5%, P < 0.001). Physicians more often had a consultation time <25 min (80.4% vs. 56.9%, P < 0.001). According to providers, two of three patients spoke more than half of the consultation time (outpatient clinics 75.2% vs. general practices 66.6%, P = 0.002; nurses 73.2% vs. physicians 64.4%, P = 0.001). Providers stated that person-related factors often determined treatment goals. Almost all patients (94.4%) reported that they made shared decisions; they felt more involved than before (with physicians 45.1% vs. with nurses 33.6%, P < 0.001) and rated the consultation 8.6 of 10. After physician-led consultations, 52.5% reported that the consultation was better than before (nurse visit 33.7%, P < 0.001).

CONCLUSIONS

A consultation model to facilitate person-centered care seems well applicable and results in more patient involvement, including shared decision making, and is appreciated by a substantial number of patients.

Effectiveness of tailored support for people with Type 2 diabetes after a first acute coronary event: a multicentre randomized controlled trial (the Diacourse-ACE study)

AIMS

To evaluate the effectiveness of a tailored, supportive intervention strategy in influencing diabetes-related distress, health status, well-being and clinical outcomes in people with Type 2 diabetes shortly after a first acute coronary event.

METHODS

People with Type 2 diabetes and a recent first acute coronary event (n = 201) were randomized to the intervention group (three home visits by a diabetes nurse) or the attention control group (one telephone consultation). Outcomes were measured after discharge (baseline) and at 5 months (follow-up) using validated questionnaires for diabetes-related distress (Problem Areas in Diabetes), well-being (WHO Well-Being Index) and health status (Euroqol 5 Dimensions; Euroqol Visual Analogue Scale). ancova was used to analyse change-over-time differences between groups.

RESULTS

Follow-up data were available for 81 participants in the intervention group (66.0 ± 9.3 years, 76% male) and 80 in the control group (65.6 ± 9.4 years, 75% male) participants. Mean diabetes-related distress was low after hospital discharge (intervention group: 8.2 ± 10.1; control group: 9.2 ± 12.4) and did not change after 5 months (intervention group: 9.2 ± 12.4; control group: 9.0 ± 11.2). Baseline well-being was less favourable but improved significantly in the intervention group (baseline: 58.5 ± 28.0; follow-up: 65.5 ± 23.7; P = 0.005), but not in the control group (baseline: 57.5 ± 25.2; follow-up: 59.6 ± 24.4; P = 0.481). Health status also improved in the intervention group (baseline: 69.9 ± 17.3; follow-up: 76.8 ± 15.6; P < 0.001) but not in the control group (baseline: 68.6 ± 15.9; follow-up: 69.9 ± 16.7; P = 0.470). A significant group effect was found for health status (F = 7.9; P = 0.006).

CONCLUSIONS

Although the intervention had no effect on diabetes-related distress, this might be at least partially attributable to very low levels of diabetes-related distress at baseline. Interestingly, health status scores and well-being, which were less favourable at baseline, both improved after the tailored support intervention.

Diabetes-related distress over the course of illness: results from the Diacourse study

AIMS

To investigate the relationship between diabetes duration and diabetes-related distress and to examine the impact of micro- and macrovascular complications and blood glucose-lowering treatment on this relationship.

METHODS

We conducted a cross-sectional study in people with Type 2 diabetes who participated in the Dutch Diacourse study (n = 590) and completed the Problem Areas in Diabetes questionnaire. Data on diabetes duration, micro- and macrovascular complications and blood glucose-lowering treatment were collected. Multiple linear regression analysis was used to investigate the association between diabetes duration and diabetes-related distress, and to examine whether complications and treatment could explain this association.

RESULTS

A significant linear and quadratic association between diabetes duration and diabetes-related distress was found (duration: β = 0.27, P = 0.005; duration(2): β = -0.21, P = 0.030). The association between duration and distress could be explained by microvascular complications and insulin treatment, which were both more often present in people with a longer diabetes duration, and were associated with higher levels of diabetes-related distress (β = 0.20, P < 0.001 and β = 0.16, P = 0.006 respectively). Duration, age, gender, complications and treatment together explained 13.1% of the variance in distress.

CONCLUSIONS

Diabetes duration was associated with diabetes-related distress. This association can be explained largely by the presence of diabetes-related microvascular complications and insulin treatment. Healthcare providers should focus on distress in people with Type 2 diabetes in different stages over the course of illness, especially when complications are present or when people are on insulin treatment. As well as diabetes duration, complications and blood glucose-lowering treatment, diabetes-related distress is likely to be influenced by many other factors.

Effectiveness and cost-effectiveness of 3-monthly versus 6-monthly monitoring of well-controlled type 2 diabetes patients: a pragmatic randomised controlled patient-preference equivalence trial in primary care (EFFIMODI study)

AIM

To investigate effectiveness and cost-effectiveness of 6-monthly monitoring compared with 3-monthly monitoring of well-controlled type 2 diabetes patients in primary care.

METHODS

A pragmatic randomised controlled patient-preference equivalence trial was performed. From April 2009 to August 2010, 2215 patients from 233 general practitioners across the Netherlands were included. Patients were eligible if between 40- and 80-years-old, diagnosed with type 2 diabetes for more than a year, treated by their general practitioner, not on insulin treatment and well-controlled during the last year (HbA1c ≤ 58 mmol/mol, systolic blood pressure ≤ 145 mmHg and total cholesterol ≤ 5.2 mmol/l). Patients without a strong preference for their monitoring frequency were randomised to 3-monthly or 6-monthly monitoring. Follow-up was 18 months. The primary outcome is the percentage of patients remaining under: HbA1c ≤ 58 mmol/mol, systolic blood pressure ≤ 145 mmHg and total cholesterol ≤ 5.2 mmol/l. Equivalence was assumed if the two-sided 95% confidence interval (CI) was between -5 and 5%. Cost-effectiveness was determined using a cost-minimisation analysis.

RESULTS

In the 3-monthly group 69.5% remained under good cardiometabolic control, versus 69.8% in the 6-monthly group (difference: 0.3%; 95%CI: -6.2-6.7%). All secondary outcomes were equivalent for 3-monthly and 6-monthly monitoring, except the systolic blood pressure target, physical activity and antihypertensive drug use. Six-monthly monitoring was €387 (£333) cheaper per patient compared to 3-monthly monitoring during the study period.

CONCLUSIONS

Patients with good cardiometabolic control and without preference for their monitoring frequency can visit the primary care physician less often. The cost-savings can be considerable.

Patient Satisfaction and it's Relation to Diabetic Control in a Primary Care Setting

Context:

Patient satisfaction is of increasing importance and recognized as an important indicator for quality of care. It is influenced by the patients, physicians and practice's characteristics. The literature on diabetes has increasingly focused on the quality of care and its measurement. The relationship between the quality of diabetes care and patient satisfaction is poorly understood and it requires further elaboration.

Aims:

The aim of this study is to Identify the underlying factors influencing patient's satisfaction with the diabetes care, to assess whether comprehensive diabetes management that provided in diabetic clinic improves satisfaction and glycemic control.

Settings and Design:

Cross-sectional study Family Medicine and Diabetic Clinics at King Abdul-Aziz Medical City.

Materials and Methods:

A total of 230 type two diabetic patients attending their follow-up were requested to fill the questionnaire. The questionnaire identified patients, doctors and practice related factors.

Statistical Analysis Used:

SPSS 16 with appropriate statistical test.

Results:

The response rate was 85%. Mean hemoglobin A1c (HbA1c) level was 0.087 ± 0.020. Around half of the patients were having high satisfaction rate of (>60%). Doctor's communication ranked the highest satisfaction level among other factors. However, no association between satisfaction with other patient's characteristics and HbA1c.

Conclusions:

Physicians play a major role in promoting higher level of satisfaction by good communication with their patients. More efforts are needed to improve certain aspects of diabetic care such as: Patient's education and periodic physical examination. Although the present study did not show any association between satisfaction and important outcome like HbA1c, more studies are needed to explore such complex relationship. To obtain more significant results a bigger sample size might be needed.