Development of type 2 diabetes mellitus quality indicators in general practice by a modified Delphi method in Beijing, China

Development of family resource indicators for people with schizophrenic disorder in community by modified Delphi method in Beijing, China

INTRODUCTION

Most people with schizophrenia in China are supported by their family members in community. The patient's family is confronted with severe care burden and pressure, which directly affects the caregiver's own health and social life, and indirectly affects the patient's rehabilitation. Adequate family resources can reduce the burden and pressure on families. But there is an absence of systematic family resource indicators for people with schizophrenic disorder in China.

OBJECTIVES

This study aimed to develop a set of family resource indicators for people with schizophrenic disorder in China.

DESIGN

Preliminary family resource indicators were generated and refined by literature review and an expert consultation meeting. Two rounds of email-based Delphi survey were carried out to identify family resource indicators.

SETTING

Two rounds of email-based Delphi survey were performed from July to September 2021 in Beijing, China.

PARTICIPANTS

There were 15 mental health doctors from community health service centres and four psychiatrists from tertiary hospitals, and two primary care researchers from universities in the first and second rounds Delphi survey.

RESULTS

All the 21 experts participated in both rounds of Delphi survey. A total of 46 indicators achieved consensus for inclusion in the final set of indicators after two rounds of Delphi survey. The final set of indicators was grouped into 10 domains: financial support (three indicators), psychological and spiritual support (eight indicators), medical treatment (three indicators), information and education (three indicators), structural support (two indicators), external family resources included social resources (five indicators), cultural resources (two indicators), economic resources (seven indicators), environmental resources (four indicators) and medical resources (nine indicators).

CONCLUSIONS

A set of 46 family resource indicators for people with schizophrenic disorder in community was identified by an iterative Delphi process in Beijing, China. However, the indicators still need to be validated by testing in further studies.

Conditions required to ensure successful detection and management of mild cognitive impairment in primary care: A Delphi consultation study in China

Objective

Detection and management of mild cognitive impairment (MCI) in primary care has been recognized internationally as one of the strategies that can be employed to delay the development of dementia. However, little is known about what role primary care should play. This study aimed to develop a checklist of conditions necessary for successfully detecting and managing mild cognitive impairment in primary care in China.

Methods

This study employed the Delphi method to establish expert consensus on the conditions required for successfully detecting and managing MCI in primary care in China. Twenty-four experts who specialized in general practice, public health, neuropsychology, or community health service management rated the importance of pre-defined conditions (44 items measuring providers' preparedness, patient engagement, and system support in line with the Chronic Care Model). The degree of consensus among the experts was measured using four indicators: median ≥ 4, mean ≥3.5, Co-efficient of Variance < 0.25, and retention in the checklist required ≥ 80% agreement with a rating of important or essential. The checklist and descriptions of the conditions were revised according to the experts' feedback and then sent out for repeated consultations along with a summary of the results of the previous round of consultations. Consensus was achieved after the second round of consultations, which was completed by 22 of the experts.

Results

The experts endorsed a checklist of 47 conditions required for successful detection and management of MCI in primary care in China. These conditions were categorized into four domains: prepared general practitioners (17 items), engaged patients (15 items), organizational efforts (11 items), and environmental support (4 items).

Conclusions

Successful detection and management of MCI in primary care in China requires a dedicated and competent workforce of general practitioners, as well as the engagement of patients and family caregivers. Adequate support from healthcare organizations, health system arrangements, and the broader society is needed to enable effective interactions between general practitioners and patients and efficient delivery of the services required to detect and manage MCI.

Process quality of type 2 diabetes mellitus care and association with patient perceived attributes of family doctor service in urban general practices, Beijing, China

Background

Family doctor service (FDS) is a scheme oriented to improving the access and continuity of primary care in China. Type 2 diabetes mellitus (T2DM) management is a core component of FDS. However, evidence on the quality of T2DM care is lacking and the potential association between FDS attributes and T2DM care is largely unknown. This study attempted to assess the process quality of T2DM care in general practice and explore the association between patient perceived FDS attributes and process quality of T2DM care.

Methods

Total 400 patients were recruited from 5 community health service centers in two urban districts in Beijing. Questionnaire survey and extraction of data from electronic health record (EHR) were conducted to collect patient characteristics, patient perceived FDS attributes (accessibility, continuity and team-based care) and process quality indicators (monitoring and health counseling indicators). Chi-square test and a two-level generalized linear mixed model (GLMM) were used to explore the association between FDS attributes and process quality.

Results

The utilization rate of all the 12 indicators in monitoring, 6 indicators in health counseling and all the 18 process indicators, was 12.8%, 23.8% and 6.0% respectively. Over half of the patients (56.8%) perceived all the 3 FDS attributes. There were statistically significant associations between accessibility of care and lipid (p = 0.008), electrocardiogram (p = 0.016), retinopathy (p = 0.037) and peripheral neuropathy (p = 0.006) monitoring and each of the 6 health counseling indicators (all the p values < 0.05). Regular follow up (p = 0.039), plasma blood glucose (p = 0.020), blood pressure (p = 0.026), body mass index (p = 0.044) and foot (p = 0.005) monitoring as well as each of the 6 health counseling indicators (all the p values < 0.05) were more likely to be received by patients when continuity of care was ensured. Patients who were managed by a GP team had higher utilization rate of glycosylated hemoglobin monitoring (p = 0.026) and each of the 6 health counseling indicators (all the p values < 0.05). When the patients perceived one more FDS attribute, the indicators they received significantly increased by 1.50 (coefficient = 1.50, p < 0.001). Patients between the age of 65 and 74 years received 1.15 more indicators than those under 65 (coefficient = 1.15, p = 0.003). Patients with more than ten years duration of T2DM received 0.74 more indicators (coefficient = 0.74, p = 0.028). Patients taking both insulin and oral medicine received 0.97 more indicators than those taking oral medication only (coefficient = 0.97, p = 0.027). Patients who were managed by GPs with on-job training experience received 1.19 more indicators (coefficient = 1.19, p = 0.040). Among the patients who had completed junior high school or below, having better self-report health status (≥ 60) received 2.40 less indicators (coefficient = -2.40, p = 0.004).

Conclusions

Improvement of key monitoring and health counseling indicators might be needed in T2DM care in general practice in Beijing, China. Policies for improving process quality of T2DM care should be considered.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-022-01838-0.

Development of a competency model for general practitioners after standardized residency training in China by a modified Delphi method

BACKGROUND

The "5 + 3" residency training is the main stream general practitioner training program in China. However, a competency model is absent for evaluating the clinical competence attained by general practitioners after training. This study was conducted to develop a consensus set of competencies for general practitioners after standardized residency training in China.

METHODS

A modified Delphi process was deployed to develop the competency model, including two stages: (1) generation of an initial set of competencies derived from literature review, behavioral observation of GP-patient consultations, and critical incidents interview of GPs; (2) a 2-round, web-based Delphi survey of experts in general practice, selected using purposive sampling, to prioritize and gain consensus on the essential competencies of GPs.

RESULTS

From literature review, behavioral observation, and critical incidents interview, 46 competencies in 7 domains were identified. After two rounds of Delphi survey of 28 participants (the mean age was 47.9 [9.3] years and 64.3% were women) representing a range of health professionals (GPs, managers, and researchers), a consensus was reached on 50 competencies categorized into 7 domains.

CONCLUSION

A consensus-based competency model for general practitioners in China has been identified which may be used to evaluate the general practitioners' clinical competence after standardized training.