Effectiveness of the Chronic Care Model in Type 2 Diabetes Management in a Community Health Service Center in China: A Group Randomized Experimental Study

Impact of hospital-community diabetes management intervention in Central Region, Ghana: A retrospective study

OBJECTIVE

Effective diabetes management remains suboptimal in low-resourced countries including Ghana. We determined the effectiveness of hospital-community link diabetes management intervention on glycaemic control and other outcomes.

METHODS

A retrospective study design, using secondary data from the Ghana-Netherlands for Health Foundation diabetes programme. The z-test was used for proportions, to compare parameters between baseline (2017) and endpoint (2022). The Friedman test was used to assess changes in blood glucose levels, and the multivariable Logistic regression to identify factors associated with blood glucose control.

RESULTS

Analyses of 251 clinical records showed decline in median blood glucose levels across six years from 8.8 mmol/L (7.2-12.9) in 2017 to 6.5 mmol/L (5.7-7.2) (p = 0.001) in 2022, recording 43 % increase in patients attaining glycaemic control in 2022 (p = 0.001). The Friedman test showed significant reduction in glucose levels (χ2 = 319.2, p = 0.001), with an effect size of 0.25 using the Kendall test. The logistic regression analyses revealed that patients on metformin and Glibenclamide combination were more likely to achieve glycaemic control than those on metformin monotherapy (adjusted OR = 7.30, 95 % CI 2.31-23.01, p = 0.001).

CONCLUSION

The intervention achieved significant reduction in blood glucose levels. Patients with diabetes benefit from the hospital-community link diabetes management intervention regarding glycaemic control.

Improving outcomes of type 2 diabetes mellitus patients in primary care with Chronic Care Model: A narrative review

Designed and implemented over two decades ago, the Chronic Care Model is a well-established chronic disease management framework that has steered several healthcare systems in successfully improving the clinical outcomes of patients with type 2 diabetes mellitus. Research evidence cements the role of the Chronic Care Model (with its six key elements of organization of healthcare delivery system, self-management support, decision support, delivery system design, clinical information systems, and community resources and policies) as an integrated framework to revamp the type 2 diabetes mellitus-related clinical practice and care that betters the patient care and clinical outcomes. The current review is an evidence-lit summary of importance of use of Chronic Care Model in primary care and their impact on clinical outcomes for patients afflicted with one of the most debilitating metabolic diseases, type 2 diabetes mellitus.

Patient perspectives of diabetes care in primary care networks in Singapore: a mixed-methods study

BACKGROUND

Type 2 diabetes (T2D) remains an important chronic condition worldwide requiring integrated patient-centred care as advocated by the Chronic Care Model (CCM). The Primary Care Networks (PCNs) in Singapore organise general practitioners (GPs) with nurses and care coordinators to deliver team-based care for patients with chronic conditions. This study examined the quality of care in the PCNs as defined by the CCM from the patients' perspective.

METHODS

This study followed a cross-sectional convergent mixed-method design with T2D patients across three PCN types (GP-led, Group, and Cluster). The Patient Assessment of Chronic Illness Care (PACIC, range 1-5) was completed by a convenience sample of 343 patients. Multivariate linear regression was performed to estimate the associations between patient and service characteristics and PACIC summary score. Twenty-four participants were purposively recruited for interviews on the experienced care until thematic saturation was reached. Quantitative and qualitative data were collected concurrently and independently. Integration occurred during study design and data analysis using the CCM as guidance. Quantitative and qualitative results were compared side-by-side in a joint comparison table to develop key concepts supported by themes, subthemes, and patients' quotes.

RESULTS

The PACIC mean summary score of 3.21 for 343 patients evidenced that some have received CCM consistent care in the PCNs. Being younger and spending more time with the GP were associated with higher PACIC summary scores. PACIC summary scores did not differ across PCN types. The 24 patients interviewed in the qualitative study reported receiving team-based care, nurse services, good continuity of care, as well as patient-centred care, convenient access, and affordable care. Key concepts showed that integrated care consistent with the CCM was sometimes received by patients in the PCNs. Patient activation, delivery system design/decision support, goal setting/tailoring, and problem-solving/contextual counselling were sometimes received by patients, while follow-up/coordination was generally not received.

CONCLUSIONS

Patients with T2D from the Singapore Primary Care Networks received integrated care consistent with the Chronic Care Model, particularly in patient activation, delivery system design/decision support, goal setting/tailoring, and problem-solving/contextual counselling. Follow-up/coordination needed improvement to ensure higher quality of diabetes care.

Mediated depictions of mental health, chronic care and literacy: a narrative analysis of Randall's mental health journey in the television series, This is Us

Introduction

Mental health and delivery of care is a global issue, that was only magnified by COVID-19. Over the past 3 years, people's time spent watching television increased, while the way that mental health care was delivered changed. Audiences can gain insight into mental health issues through positive or negative mediated depictions on television. We argue that mental health is a chronic condition and the importance of literacy through different domains is critical for how the characters in media content and audience viewers make sense of mental health.

Method

The current study uses qualitative narrative analysis to examine the narrative probability and fidelity at the intersection of mental health depictions, the chronic care model, and different types of literacy in the award-winning series, This is Us.

Results

Findings reveal that Randall's experiences with mental health (N = 38 episodes) depict moments of narrative coherence and fidelity to varying degrees. We see Randall's experiences align most with the self-management support and community elements of the CCM, but the overall depiction is unbalanced. Randall's literacy level is high, but if inspected on a deeper level, analysis points to differing levels of health and mental health literacy, thus enabling and constraining positive and realistic portrayals of mental health.

Discussion

Implications for mental health as a chronic issue and care delivery through CCM are discussed along with the importance of different types of literacy for audience members who may be struggling with a mental health disorder or trying to navigate the health care system. We offer recommendations for using Randall's narrative as a teaching tool, integrating CCM into clinical visits to help guide delivery of care and understand literacy levels, and finally future work should continue this line of work from an Entertainment-Education perspective.

Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes

BACKGROUND

There is a large body of evidence evaluating quality improvement (QI) programmes to improve care for adults living with diabetes. These programmes are often comprised of multiple QI strategies, which may be implemented in various combinations. Decision-makers planning to implement or evaluate a new QI programme, or both, need reliable evidence on the relative effectiveness of different QI strategies (individually and in combination) for different patient populations.

OBJECTIVES

To update existing systematic reviews of diabetes QI programmes and apply novel meta-analytical techniques to estimate the effectiveness of QI strategies (individually and in combination) on diabetes quality of care.

SEARCH METHODS

We searched databases (CENTRAL, MEDLINE, Embase and CINAHL) and trials registers (ClinicalTrials.gov and WHO ICTRP) to 4 June 2019. We conducted a top-up search to 23 September 2021; we screened these search results and 42 studies meeting our eligibility criteria are available in the awaiting classification section.

SELECTION CRITERIA

We included randomised trials that assessed a QI programme to improve care in outpatient settings for people living with diabetes. QI programmes needed to evaluate at least one system- or provider-targeted QI strategy alone or in combination with a patient-targeted strategy. - System-targeted: case management (CM); team changes (TC); electronic patient registry (EPR); facilitated relay of clinical information (FR); continuous quality improvement (CQI). - Provider-targeted: audit and feedback (AF); clinician education (CE); clinician reminders (CR); financial incentives (FI). - Patient-targeted: patient education (PE); promotion of self-management (PSM); patient reminders (PR). Patient-targeted QI strategies needed to occur with a minimum of one provider or system-targeted strategy.

DATA COLLECTION AND ANALYSIS

We dual-screened search results and abstracted data on study design, study population and QI strategies. We assessed the impact of the programmes on 13 measures of diabetes care, including: glycaemic control (e.g. mean glycated haemoglobin (HbA1c)); cardiovascular risk factor management (e.g. mean systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), proportion of people living with diabetes that quit smoking or receiving cardiovascular medications); and screening/prevention of microvascular complications (e.g. proportion of patients receiving retinopathy or foot screening); and harms (e.g. proportion of patients experiencing adverse hypoglycaemia or hyperglycaemia). We modelled the association of each QI strategy with outcomes using a series of hierarchical multivariable meta-regression models in a Bayesian framework. The previous version of this review identified that different strategies were more or less effective depending on baseline levels of outcomes. To explore this further, we extended the main additive model for continuous outcomes (HbA1c, SBP and LDL-C) to include an interaction term between each strategy and average baseline risk for each study (baseline thresholds were based on a data-driven approach; we used the median of all baseline values reported in the trials). Based on model diagnostics, the baseline interaction models for HbA1c, SBP and LDL-C performed better than the main model and are therefore presented as the primary analyses for these outcomes. Based on the model results, we qualitatively ordered each QI strategy within three tiers (Top, Middle, Bottom) based on its magnitude of effect relative to the other QI strategies, where 'Top' indicates that the QI strategy was likely one of the most effective strategies for that specific outcome. Secondary analyses explored the sensitivity of results to choices in model specification and priors.  Additional information about the methods and results of the review are available as Appendices in an online repository. This review will be maintained as a living systematic review; we will update our syntheses as more data become available.

MAIN RESULTS

We identified 553 trials (428 patient-randomised and 125 cluster-randomised trials), including a total of 412,161 participants. Of the included studies, 66% involved people living with type 2 diabetes only. Participants were 50% female and the median age of participants was 58.4 years. The mean duration of follow-up was 12.5 months. HbA1c was the commonest reported outcome; screening outcomes and outcomes related to cardiovascular medications, smoking and harms were reported infrequently. The most frequently evaluated QI strategies across all study arms were PE, PSM and CM, while the least frequently evaluated QI strategies included AF, FI and CQI. Our confidence in the evidence is limited due to a lack of information on how studies were conducted.  Four QI strategies (CM, TC, PE, PSM) were consistently identified as 'Top' across the majority of outcomes. All QI strategies were ranked as 'Top' for at least one key outcome. The majority of effects of individual QI strategies were modest, but when used in combination could result in meaningful population-level improvements across the majority of outcomes. The median number of QI strategies in multicomponent QI programmes was three.  Combinations of the three most effective QI strategies were estimated to lead to the below effects:  - PR + PSM + CE: decrease in HbA1c by 0.41% (credibility interval (CrI) -0.61 to -0.22) when baseline HbA1c < 8.3%; - CM + PE + EPR: decrease in HbA1c by 0.62% (CrI -0.84 to -0.39) when baseline HbA1c > 8.3%;  - PE + TC + PSM: reduction in SBP by 2.14 mmHg (CrI -3.80 to -0.52) when baseline SBP < 136 mmHg; - CM + TC + PSM: reduction in SBP by 4.39 mmHg (CrI -6.20 to -2.56) when baseline SBP > 136 mmHg;  - TC + PE + CM: LDL-C lowering of 5.73 mg/dL (CrI -7.93 to -3.61) when baseline LDL < 107 mg/dL; - TC + CM + CR: LDL-C lowering by 5.52 mg/dL (CrI -9.24 to -1.89) when baseline LDL > 107 mg/dL. Assuming a baseline screening rate of 50%, the three most effective QI strategies were estimated to lead to an absolute improvement of 33% in retinopathy screening (PE + PR + TC) and 38% absolute increase in foot screening (PE + TC + Other).

AUTHORS' CONCLUSIONS

There is a significant body of evidence about QI programmes to improve the management of diabetes. Multicomponent QI programmes for diabetes care (comprised of effective QI strategies) may achieve meaningful population-level improvements across the majority of outcomes. For health system decision-makers, the evidence summarised in this review can be used to identify strategies to include in QI programmes. For researchers, this synthesis identifies higher-priority QI strategies to examine in further research regarding how to optimise their evaluation and effects. We will maintain this as a living systematic review.

Improving quality of non-communicable disease services at primary care facilities in middle-income countries: A scoping review

Health systems in middle-income countries face important challenges in managing the high burden of Non-Communicable Diseases (NCD). Primary health care is widely recognized as key to managing NCDs in communities. However, the effectiveness of this approach is limited by poor quality of care (QoC), among others. This scoping review identifies the types of interventions that have been used in middle-income countries to improve the quality of NCD services at primary care facilities. Further, it identifies the range of outcomes these quality interventions have influenced. This scoping review covered both the grey and peer-reviewed literature. The 149 articles reviewed were classified into four domains - governance, service-delivery systems, health workforce, and patients and communities. There was a remarkable unevenness in the geographic distribution of studies - lower middle-income countries and some regions (Middle East, North Africa, and South East Asia) had a scarcity of published studies. NCDs such as stroke and cardiovascular disease, mental health, cancer, and respiratory disorders received less attention. The thrust of quality interventions was directed at the practice of NCD care by clinicians, facilities, or patients. Few studies provided evidence from interventions at the organizations or policy levels. Overall, effectiveness of quality interventions was mixed across domains. In general, positive or mixed effects on provider clinical skills and behavior, as well as, improvements in patient outcomes were found across interventions. Access to care and coverage of screening services were positively influenced by the interventions reviewed. This review shows that quality improvement interventions tried in middle-income countries mostly focused at the provider and facility level, with few focusing on the organizational and policy level. There is a need to further study the effectiveness of organizational and policy level interventions on the practice and outcomes of NCD care.

Effectiveness of the chronic care model for adults with type 2 diabetes in primary care: a systematic review and meta-analysis

BACKGROUND

Mixed evidence exists regarding the effectiveness of the Chronic Care Model (CCM) with patient outcomes. The aim of this review is to examine the effectiveness of CCM interventions on hemoglobin A1c (HbA_1c), systolic BP (SBP), diastolic BP (DBP), LDL cholesterol and body mass index (BMI) among primary care adults with type 2 diabetes.

METHODS

PubMed, Embase, CINAHL, Cochrane Central Registry of Controlled Trials, Scopus and Web of Science were searched from January 1990 to June 2021 for randomized controlled trials (RCTs) comparing CCM interventions against usual care among adults with type 2 diabetes mellitus in primary care with HbA_1c, SBP, DBP, LDL cholesterol and BMI as outcomes. An abbreviated search was performed from 2021 to April 2022. This study followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines for data extraction and Cochrane risk of bias assessment. Two reviewers independently extracted the data. Meta-analysis was performed using Review Manager software. Heterogeneity was evaluated using χ² and I² test statistics. Overall effects were evaluated using Z statistic.

RESULTS

A total of 17 studies involving 16485 patients were identified. Most studies had low risks of bias. Meta-analysis of all 17 studies revealed that CCM interventions significantly decreased HbA_1c levels compared to usual care, with a mean difference (MD) of -0.21%, 95% CI -0.30, -0.13; Z = 5.07, p<0.00001. Larger effects were experienced among adults with baseline HbA_1c ≥8% (MD -0.36%, 95% CI -0.51, -0.21; Z = 5.05, p<0.00001) and when four or more CCM elements were present in the interventions (MD -0.25%, 95% CI -0.35, -0.15; Z = 4.85, p<0.00001). Interventions with CCM decreased SBP (MD -2.93 mmHg, 95% CI -4.46, -1.40, Z = 3.75, p=0.0002) and DBP (MD -1.35 mmHg, 95% CI -2.05, -0.65, Z = 3.79, p=0.0002) compared to usual care but there was no impact on LDL cholesterol levels or BMI.

CONCLUSIONS

CCM interventions, compared to usual care, improve glycaemic control among adults with type 2 diabetes in primary care, with greater reductions when the mean baseline HbA_1c is ≥8% and with interventions containing four or more CCM elements.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO  CRD42021273959.

The effect of integrated health care in patients with hypertension and diabetes: a systematic review and meta-analysis

Background

A growing number of studies show that integrated health care provides comprehensive and continuous care to patients with hypertension or diabetes. However, there is still no consensus about the effect of integrated health care on patients with hypertension or diabetes. The objective of this study was to verify the effectiveness of integrated health care for patients with hypertension or diabetes by using a systematic review and meta-analysis.

Methods

The study searched multiple English and Chinese electronic databases. The search period was from database inception to 31 October 2020. Systematic reviews and meta-analyses were conducted after assessing the risk of bias of each study.

Results

Sixteen studies that involved 5231 patients were included in this study. The results of the systematic review revealed that systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI) and glycosylated haemoglobin (HbA1c) are commonly used indicators for patients with hypertension or diabetes. Individual models and group- and disease-specific models are the most commonly used models of integrated health care. All the studies were from high-income and middle-income countries. Meta-analysis showed that integrated health care significantly improved SBP, DBP and HbA1c but not BMI. A comparison of interventions lasting 6 and 12 months for diabetes was conducted, and HbA1c was decreased after 12 months. The changes in SBP and DBP were statistically significant after using group- and disease-specific model but not individual models. HbA1c was significantly improved after using group- and disease-specific models and individual models.

Conclusion

Integrated health care is a useful tool for disease management, and individual models and group- and disease-specific models are the most commonly used models in integrated health care. Group- and disease-specific models are more effective than individual models in the disease management of hypertension patients. The duration of intervention should be considered in the disease management of patients with diabetes, and interventions longer than 12 months are recommended. The income level may affect the model of integrated health care in selecting which disease to intervene, but this point still needs support from more studies.

Current gaps in management and timely referral of cardiorenal complications among people with type 2 diabetes mellitus in the Middle East and African countries: Expert recommendations

The upsurge of type 2 diabetes mellitus is a major public health concern in the Middle East and North Africa (MENA) and Africa (AFR) region, with cardiorenal complications (CRCs) being the predominant cause of premature morbidity and mortality. High prevalence of cardiometabolic risk factors, lack of awareness among patients and physicians, deficient infrastructure, and economic constraints lead to a cascade of CRCs at a significantly earlier age in MENA and AFR. In this review, we present consensus recommendations by experts in MENA and AFR, highlighting region-specific challenges and potential solutions for management of CRCs. Health professionals who understand sociocultural barriers can significantly increase patient awareness and encourage health-seeking behavior through simple educational tools. Increasing physician knowledge on early identification of CRCs and personalized treatment based on risk stratification, alongside optimum glycemic control, can mitigate therapeutic inertia. Early diagnosis of high-risk people with regular and systematic monitoring of cardiorenal parameters, development of region-specific care pathways for timely referral to specialists, followed by guideline-recommended care with novel antidiabetics are imperative. Adherence to guideline-recommended care can catalyze utilization of sodium glucose cotransporter 2 inhibitors and glucagon-like peptide 1 receptor agonists with demonstrated cardiorenal benefits-thus paving the way for overcoming care gaps in a cost-effective manner. Leveraging digital technology like electronic medical records can help generate real-world data and provide insights on voids in adoption of newer antidiabetic medications. A patient-centric approach, collaborative care among physicians from different specialties, alongside involvement of policy makers are key for improving patient outcomes and quality of care in MENA and AFR.

Organisational models in primary health care to manage chronic conditions: A scoping review

Chronic diseases are increasing incessantly, and more efforts are needed in order to develop effective organisational models in primary health care, which may address the challenges posed by the consequent multimorbidity. The aim of this study was to assess and map methods, interventions and outcomes investigated over the last decade regarding the effectiveness of chronic care organisational models in primary care settings. We conducted a scoping review including systematic reviews, clinical trials, and observational studies, published from 2010 to 2020, that evaluated the effectiveness of organisational models for chronic conditions in primary care settings, including home care, community, and general practice. We included 67 international studies out of the 6,540 retrieved studies. The prevalent study design was the observational design (25 studies, 37.3%), and 62 studies (92.5%) were conducted on the adult population. Four main models emerged, called complex integrated care models. These included models grounded on the Chronic Care Model framework and similar, case or care management, and models centred on involvement of pharmacists or community health workers. Across the organisational models, self-management support and multidisciplinary teams were the most common components. Clinical outcomes have been investigated the most, while caregiver outcomes have been detected in the minority of cases. Almost one-third of the included studies reported only significant effects in the outcomes. No sufficient data were available to determine the most effective models of care. However, more complex models seem to lead to better outcomes. In conclusion, in the development of more comprehensive organisational models to manage chronic conditions in primary health care, more efforts are needed on the paediatric population, on the inclusion of caregiver outcomes in the effectiveness evaluation of organisational models and on the involvement of social community resources. As regarding the studies investigating organisational models, more detailed descriptions should be provided with regard to interventions, and the training, roles and responsibilities of health and lay figures in delivering care.

Effect of educational interventions on knowledge of the disease and glycaemic control in patients with type 2 diabetes mellitus: a systematic review and meta-analysis of randomised controlled trials

BACKGROUND

Globally, type 2 diabetes has continued to increase, now accounting for over 90% of all diabetes cases. Though the magnitude of uncontrolled glycaemic levels in patients with type 2 diabetes is steadily rising, evidence showed that effectively controlled glycaemic levels can prevent complications and improve the quality of life of these patients. As little is known about the effect of educational interventions on this population, this systematic review and meta-analysis evaluated the effectiveness of educational interventions versus standard care on glycaemic control and disease knowledge among patients with type 2 diabetes.

METHODS

PubMed, Google Scholar, Cochrane Library, Scopus, African Journals Online and Wiley Online Library were searched. Two authors independently assessed within-trial risk of bias in each included study using revised Cochrane risk-of-bias tool for randomised trials. A random-effects model was employed to estimate combined effect sizes. Subgroup analyses were employed to investigate possible sources of heterogeneity between studies. The overall certainty of the evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation approach.

RESULTS

A total of 19 trials with 2708 study participants were included in the review. Primary outcomes (glycaemic control) were reported in 18 trials. The pooled estimated impact of educational intervention on glycaemic levels using the random-effects model was -0.83 (95% CI: -1.17 to -0.49, p<0.001). Subgroup analyses revealed greater A1c reductions in those studies with intervention duration of up to 3 months and with empirical intervention designs. Educational interventions led to significant increases in participants' knowledge of type 2 diabetes (standardised mean difference: 1.16; 95% CI: 0.71 to 1.60; I2=93%).

CONCLUSION

In the current review overall, educational interventions can potentially lead to improved glycaemic control levels in patients with type 2 diabetes despite heterogeneity across the studies. Besides, the findings showed that educational interventions could increase disease knowledge among patients with type 2 diabetes.

PROSPERO REGISTRATION NUMBER

CRD42020205838.

Self-management behavior and fasting plasma glucose control in patients with type 2 diabetes mellitus over 60 years old: multiple effects of social support on quality of life

OBJECTIVE

Elderly patients with type 2 diabetes mellitus are highly vulnerable due to severe complications. However, there is a contradiction in the relationship between social support and quality of life, which warrants further exploration of the internal mechanism. This study assessed the quality of life and its interfering factors in this patient population.

METHODS

In total, 571 patients with type 2 diabetes mellitus over 60 years old were recruited from two community clinics in Heilongjiang Province, China. We collected data on health status, quality of life, self-management behavior, fasting plasma glucose (FPG) level, and social support. Structural equation modeling and the bootstrap method were used to analyze the data.

RESULTS

The average quality of life score was - 29.25 ± 24.41. Poorly scored domains of quality of life were "Psychological feeling" (- 8.67), "Activity" (- 6.36), and "Emotion" (- 6.12). Of the 571 patients, 65.32% had normal FPG, 9.8% had high-risk FPG, 15.94% had good self-management behavior, and 22.07% had poor social support. Significant correlations among social support, self-management behavior, FPG level, and quality of life were noted. A multiple mediator model revealed that social support influenced quality of life in three ways: (1) directly (c' = 0.6831); (2) indirectly through self-management behavior (a1*b1 = 0.1773); and (3) indirectly through FPG control (a2*b2 = 0.1929). Self-management behavior influenced the quality of life directly and indirectly through FPG control.

CONCLUSION

Improving self-management behavior and monitoring hypoglycemia should become priority targets for future intervention. Scheduled social support to self-management projects should be put into the standardized management procedure. Physicians should provide substantial and individualized support to the elderly patients with type 2 diabetes mellitus regarding medication, blood glucose monitoring, and physical exercise.

Development of a nursing assessment form for patients with diabetes mellitus in a hospital: A research and development study

Background

People with Diabetes Mellitus (DM) tend to seek herbal medicine or complementary drugs in their treatments. But, unfortunately, the existing nursing assessment forms have not prepared the format for the use of complementary medicine.

Objective

This study aimed to develop a nursing assessment form in patients with DM based on the Chronic Care Model (CCM) approach.

Methods

This study employed a Research and Development study design, which consists of ten stages. The nursing assessment form was developed based on CCM theory and integrated complementary medicines into the assessment form. A content validity test was done by four experts and calculated using Aiken's V formula. Face validity among 12 nurses through Focus Group Discussions (FGDs) was also employed to test the quality of the nursing assessment form based on three aspects: functionality, efficiency, and usability. In addition, nine nurses were included for pilot testing of the form. Data were analyzed using descriptive analysis.

Results

The nursing assessment form demonstrated a good content validity, with Aiken's V value of 0.94. The form was categorized based on four components of CCM: self-management support, decision support, social activities, and clinical information. Additionally, all nurses could fill the form properly.

Conclusion

The nursing assessment form is valid. It can be used for nurses to assess patients with DM based on the CCM with an additional component to evaluate the use of complementary medicine.

Psychometric evaluation of patient assessment of chronic illness care among Korean cancer survivors

Background

The Patient Assessment of Chronic Illness Care (PACIC) was developed in the United States to assess the implementation of the Chronic Care Model (CCM)-based intervention from the patient’s perspective. Although the psychometric properties of the PACIC have been reported in other chronically ill patients, it has not been reported in cancer survivors. Our aim was to evaluate the acceptability, validity, and reliability of a Korean version of the PACIC among cancer survivors (K-PACIC-CS).

Methods

Among 204 cancer survivors at a university-based hospital in South Korea, we performed psychometric evaluation of the K-PACIC-CS according to acceptability (descriptive statistics, missing values, and floor and ceiling effects), validity (confirmative factor analysis [CFA] and convergent validity), and reliability (internal consistency, i.e., Cronbach’s alpha).

Results

The item response was high (missing rate = 0.5%). The floor effect was 3.9%– 43.6% and the ceiling effect was 6.9%– 41.2%. The CFA revealed good indices of fit and confirmed the five structures predetermined in the original version of PACIC. The K-PACIC-CS scores had significant positive relationships with cancer survivors’ self-efficacy and health-related quality of life. The total K-PACIC-CS showed excellent internal consistency (Cronbach’s alpha = .94) and those of the subscales were acceptable (Cronbach’s alpha = .76 -.86).

Conclusions

This study suggests that the K-PACIC-CS is a valid and reliable instrument for measuring implementation of CCM-based chronic care from the survivor’s perspective.

Detecting response shift in health-related quality of life measurement among patients with hypertension using structural equation modeling

BACKGROUND

Outcomes derived from longitudinal self-reported health-related quality of life measures can be confounded by response shift. This study was aimed to detect response shift among patients with hypertension attending a community-based disease management program.

METHODS

240 consecutive consulting or follow-up patients with diagnosed hypertension were recruited. The Short Form 36-item Health Survey was self-administered at 12 community health service stations at baseline and four weeks after attending the program. The 4-step structural equation modeling approach assessed response shift.

RESULTS

Data from 203 (84.6%) patients were eligible for analyses (mean age 65.9 ± 10.8 years, 46.3% female). The results showed uniform recalibration of social functioning ([Formula: see text](1) = 22.98, P < 0.001), and non-uniform recalibration of role limitations due to physical problems ([Formula: see text](1) = 8.84, P = 0.003), and bodily pain ([Formula: see text](1) = 17.41, P < 0.001). The effects of response shift on social functioning were calculated as "small" (effect-size = 0.35), but changed the observed changes from improvement (effect-size = 0.25) to slight deterioration (effect-size = -0.10). After accounting for the response shift effect, the general physical health of participants was improved (effect-size = 0.37), while deterioration (effect-size = -0.21) in the general mental health was also found.

CONCLUSIONS

Recalibration existed among patients with hypertension attending the disease management program. The interventions in the program might act as a catalyst that induced the response shift. We conclude that response shift should be considered in hypertension research with longitudinal health-related quality of life data.

Type 2 diabetes: patient assessment of chronic illness care

Objective

We tried to assess perception of chronic illness care in people with type 2 diabetes and to determine whether demographic variables, self-care behavior, as well as affective variables were related with perception of chronic illness care.

Methods

We conducted a secondary analysis of the previously published cross-sectional study in 441 Iranian people with type 2 diabetes. Chronic illness care was assessed with the validated tool of patient assessment of chronic illness care (PACIC). Different aspects of care according to the chronic care model are measured on a scale of 1-5, with 5 being highest perception of care. The association between perception of chronic illness care and measured variables were tested using spearman correlation test as well as univariate and multiple linear regression analysis.

Results

Finally, 380 filled out the PACIC questionnaire, completely (53.4% female, mean age: 54.73 ± 8.0 years, mean PACIC score: 2.52 ± 0.87). In spearman correlation test, considering PACIC score as the dependent variable, chronic illness care was inversely associated with level of education and distress, whereas, insulin treatment, wellbeing, family-social support and self-management were positively associated with chronic care (All p value<0.05). In the multiple linear regression analysis, family-social support was positively related to chronic care while level of education, marital status, diabetes-related distress, and high density lipoprotein had significant negative relationship with PACIC score (All p value<0.05).

Conclusions

Family-social support, level of education, marital status, and diabetes-related distress are the major determinants of patient experience of chronic illness care in people with type 2 diabetes.

Health system interventions for adults with type 2 diabetes in low- and middle-income countries: A systematic review and meta-analysis

BACKGROUND

Effective health system interventions may help address the disproportionate burden of diabetes in low- and middle-income countries (LMICs). We assessed the impact of health system interventions to improve outcomes for adults with type 2 diabetes in LMICs.

METHODS AND FINDINGS

We searched Ovid MEDLINE, Cochrane Library, EMBASE, African Index Medicus, LILACS, and Global Index Medicus from inception of each database through February 24, 2020. We included randomized controlled trials (RCTs) of health system interventions targeting adults with type 2 diabetes in LMICs. Eligible studies reported at least 1 of the following outcomes: glycemic change, mortality, quality of life, or cost-effectiveness. We conducted a meta-analysis for the glycemic outcome of hemoglobin A1c (HbA1c). GRADE and Cochrane Effective Practice and Organisation of Care methods were used to assess risk of bias for the glycemic outcome and to prepare a summary of findings table. Of the 12,921 references identified in searches, we included 39 studies in the narrative review of which 19 were cluster RCTs and 20 were individual RCTs. The greatest number of studies were conducted in the East Asia and Pacific region (n = 20) followed by South Asia (n = 7). There were 21,080 total participants enrolled across included studies and 10,060 total participants in the meta-analysis of HbA1c when accounting for the design effect of cluster RCTs. Non-glycemic outcomes of mortality, health-related quality of life, and cost-effectiveness had sparse data availability that precluded quantitative pooling. In the meta-analysis of HbA1c from 35 of the included studies, the mean difference was -0.46% (95% CI -0.60% to -0.31%, I2 87.8%, p < 0.001) overall, -0.37% (95% CI -0.64% to -0.10%, I2 60.0%, n = 7, p = 0.020) in multicomponent clinic-based interventions, -0.87% (-1.20% to -0.53%, I2 91.0%, n = 13, p < 0.001) in pharmacist task-sharing studies, and -0.27% (-0.50% to -0.04%, I2 64.1%, n = 7, p = 0.010) in trials of diabetes education or support alone. Other types of interventions had few included studies. Eight studies were at low risk of bias for the summary assessment of glycemic control, 15 studies were at unclear risk, and 16 studies were at high risk. The certainty of evidence for glycemic control by subgroup was moderate for multicomponent clinic-based interventions but was low or very low for other intervention types. Limitations include the lack of consensus definitions for health system interventions, differences in the quality of underlying studies, and sparse data availability for non-glycemic outcomes.

CONCLUSIONS

In this meta-analysis, we found that health system interventions for type 2 diabetes may be effective in improving glycemic control in LMICs, but few studies are available from rural areas or low- or lower-middle-income countries. Multicomponent clinic-based interventions had the strongest evidence for glycemic benefit among intervention types. Further research is needed to assess non-glycemic outcomes and to study implementation in rural and low-income settings.

Design and Development of Diabetes Management System Using Machine Learning

This paper describes the design and implementation of a software system to improve the management of diabetes using a machine learning approach and to demonstrate and evaluate its effectiveness in controlling diabetes. The proposed approach for this management system handles the various factors that affect the health of people with diabetes by combining multiple artificial intelligence algorithms. The proposed framework factors the diabetes management problem into subgoals: building a Tensorflow neural network model for food classification; thus, it allows users to upload an image to determine if a meal is recommended for consumption; implementing K-Nearest Neighbour (KNN) algorithm to recommend meals; using cognitive sciences to build a diabetes question and answer chatbot; tracking user activity, user geolocation, and generating pdfs of logged blood sugar readings. The food recognition model was evaluated with cross-entropy metrics that support validation using Neural networks with a backpropagation algorithm. The model learned features of the images fed from local Ghanaian dishes with specific nutritional value and essence in managing diabetics and provided accurate image classification with given labels and corresponding accuracy. The model achieved specified goals by predicting with high accuracy, labels of new images. The food recognition and classification model achieved over 95% accuracy levels for specific calorie intakes. The performance of the meal recommender model and question and answer chatbot was tested with a designed cross-platform user-friendly interface using Cordova and Ionic Frameworks for software development for both mobile and web applications. The system recommended meals to meet the calorific needs of users successfully using KNN (with k = 5) and answered questions asked in a human-like way. The implemented system would solve the problem of managing activity, dieting recommendations, and medication notification of diabetics.