The beneficial effect of a comprehensive diabetes care model on high-risk relatives accompanying patients with type 2 diabetes

AIMS

Assess the effect of a diabetes program on lifestyle, metabolic, and mental health parameters in relatives of patients with T2D, and correlate changes between relatives and patients.

METHODS

Relatives were included in a structured program for patients with T2D. They received individualized interventions or were asked to follow lifestyle modifications indicated to their patient with diabetes. Outcomes were change in BMI, fat loss, patients achieving LDL-c and triglycerides goals, exercise, and mental health indicators at three and twelve months.

RESULTS

We included 200 relatives. Obesity was present in 42 %, hypertension in 8.5 %, hypercholesterolemia in 29.5 %, and hypertriglyceridemia in 46 % of relatives. Relatives lost - 3.7 kg and - 3.0 kg of body fat at three months and one-year evaluations. At least 60 % achieved normal triglycerides and LDL-c, and 40 % exercised at least 150 min/week. Anxiety symptoms dropped from 37 % to 22 % (p = 0.001), and depressive symptoms from 22 % to 12.9 % (p = 0.01) at three months. Correlations were found between the changes in relatives and patients in weight at three months (r = 0.22, p = 0.001), one year (r = 0.3, p < 0.001), and the number of goals achieved at one year.

CONCLUSION

Relatives of patients with diabetes attending a multidisciplinary program for T2D benefit in metabolic, lifestyle, and mental health indicators.

Goals of care communication and higher-value care for patients with advanced-stage cancer: A systematic review of the evidence

CONTEXT

Goals-of-care communication (GOCC) is recommended to increase the value of cancer care near the end of life (EOL).

OBJECTIVES

Conduct a systematic review of the evidence that GOCC is associated with higher-value care.

METHODS

We searched PubMed, Scopus, Ovid MEDLINE, EMBASE, EMB Reviews, CINAHL, and PsycInfo from inception to July 2019. We analyzed the population,design, and results and the authors' definitions of GOCC. Risk of bias was assessed.

RESULTS

Thirty-two articles were selected. Ten articles reported results from 8 interventions; 17 characterized participants' perspectives; and 5 were retrospective The topics, behaviors, timing, and anticipated outcomes of GOCC varied significantly and were indistinguishable from practices such as advance care planning. GOCC typically focused on treatment outcomes rather than patients' goals. Four of 5 interventions increased evidence of GOCC after clinician training. Only one reported improved patient outcomes.

CONCLUSION

No consensus exists about what GOCC entails. There is limited evidence that GOCC increases the value of EOL care.

PRACTICE IMPLICATIONS

Future studies should focus on how to engage patients in conversations about their personal goals and integrate their goals into care planning. Clinicians can encourage GOCC by explaining how patients' goals influence decisions especially as treatment options become limited.

[Improving shared decision-making for hospital patients: Description and evaluation of a treatment intensity assessment tool]

BACKGROUND AND AIM

Shared decision-making between patients and healthcare professionals is crucial to guarantee adequate coherence between patient values and preferences, caring aims and treatment intensity, which is key for the provision of patient-centred healthcare. The assessment of such interventions are essential for caring continuity purposes. To do this, reliable and easy-to-use assessment systems are required. This study describes the results of the implementation of a hospital treatment intensity assessment tool.

MATERIAL AND METHODS

The pre-implementation and post-implementation results were compared between two cohorts of patients assessed for one month.

RESULTS

Some record of care was registered in 6.1% of patients in the pre-implementation group (n=673) compared to 31.6% of patients in the post-implementation group (n=832) (P<.01), with differences between services. Hospital mortality in both cohorts is 1.9%; in the pre-implementation group, 93.75% of deceased patients had treatment intensity assessment.

CONCLUSIONS

In hospital settings, the availability of a specific tool seems to encourage very significantly shared decision-making processes between patients and healthcare professionals -multiplying by more than 5 times the treatment intensity assessment. Moreover, such tools help in the caring continuity processes between different teams and the personalisation of caring interventions to be monitored. More research is needed to continue improving shared decision-making for hospital patients.