Can diabetes patients seeking a second hospital get better care? Results from nested case-control study

Transfers between health facilities of people living with diabetes attending primary health care services in the Western Cape Province of South Africa: A retrospective cohort study

OBJECTIVES

Transfers between health facilities of people living with HIV attending primary health care (PHC) including hospital to PHC facility, PHC facility to hospital and PHC facility to PHC facility transfers occur frequently, affect health service planning, and are associated with disengagement from care and viraemia. Data on transfers among people living with diabetes attending PHC, particularly transfers between PHC facilities, are few. We assessed the transfer incidence rate of people living with diabetes attending PHC, and the association between transfers between PHC facilities and subsequent HbA1c values.

METHODS

We analysed data on HbA1c tests at public sector facilities in the Western Cape Province (2016-March 2020). Individuals with an HbA1c in 2016-2017 were followed-up for 27 months and included in the analysis if ≥18 years at first included HbA1c, ≥2 HbA1cs during follow-up and ≥1 HbA1c at a PHC facility. A visit interval was the duration between two consecutive HbA1cs. Successive HbA1cs at different facilities of any type indicated any transfer, and HbA1cs at different PHC facilities indicated a transfer between PHC facilities. Mixed effects logistic regression adjusted for sex, age, rural/urban facility attended at the start of the visit interval, disengagement (visit interval >14 months) and a hospital visit during follow-up assessed the association between transfers between PHC facilities and HbA1c >8%.

RESULTS

Among 102,813 participants, 22.6% had ≥1 transfer of any type. Including repeat transfers, there were 29,994 transfers (14.4 transfers per 100 person-years, 95% confidence interval [CI] 14.3-14.6). A total of 6996 (30.1%) of those who transferred had a transfer between PHC facilities. Visit intervals with a transfer between PHC facilities were longer (349 days, interquartile range [IQR] 211-503) than those without any transfer (330 days, IQR 182-422). The adjusted relative odds of an HbA1c ≥8% after a transfer between PHC facilities versus no transfer were 1.20 (95% CI 1.05-1.37).

CONCLUSION

The volume of transfers involving PHC facilities requires consideration when planning services. Individuals who transfer between PHC facilities require additional monitoring and support.

Correction: Can diabetes patients seeking a second hospital get better care? Results from nested case-control study

[This corrects the article DOI: 10.1371/journal.pone.0210809.].

Effects of continuity of care on health outcomes among patients with diabetes mellitus and/or hypertension: a systematic review

Background

The rising prevalence of non-communicable diseases (NCDs) such as diabetes mellitus (DM) and hypertension (HT) has placed a tremendous burden on healthcare systems around the world, resulting in a call for more effective service delivery models. Better continuity of care (CoC) has been associated with improved health outcomes. This review examines the association between CoC and health outcomes in patients with DM and/or HT.

Methods

This was a systematic review with searches carried out on 13 March 2021 through PubMed, Embase, MEDLINE and CINAHL plus, clinical trials registry and bibliography reviews. Eligibility criteria were: published in English; from 2000 onwards; included adult DM and/or HT patients; examined CoC as their main intervention/exposure; and utilised quantifiable outcome measures (categorised into health indicators and service utilisation). The study quality was evaluated with Critical Appraisal Skills Programme (CASP) appraisal checklists.

Results

Initial searching yielded 21,090 results with 42 studies meeting the inclusion criteria. High CoC was associated with reduced hospitalisation (16 out of 18 studies), emergency room attendances (eight out of eight), mortality rate (six out of seven), disease-related complications (seven out of seven), and healthcare expenses (four out of four) but not with blood pressure (two out of 13), lipid profile (one out of six), body mass index (zero out of three). Six out of 12 studies on diabetic outcomes reported significant improvement in haemoglobin A1c by higher CoC. Variations in the classification of continuity of care and outcome definition were identified, making meta-analyses inappropriate. CASP evaluation rated most studies fair in quality, but found insufficient adjustment on confounders, selection bias and short follow-up period were common limitations of current literatures.

Conclusion

There is evidence of a strong association between higher continuity of care and reduced mortality rate, complication risks and health service utilisation among DM and/or HT patients but little to no improvement in various health indicators. Significant methodological heterogeneity in how CoC and patient outcomes are assessed limits the ability for meta-analysis of findings. Further studies comprising sufficient confounding adjustment and standardised definitions are needed to provide stronger evidence of the benefits of CoC on patients with DM and/or HT.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-021-01493-x.

Impact of continuity of care on cardiovascular disease risk among newly-diagnosed hypertension patients

Several previous studies have noted benefits of maintaining continuity of care (COC), including improved patient compliance, decreased health care cost, and decreased incidence of hospitalization. However, the association of COC in hypertension patients with subsequent cardiovascular disease (CVD) risk is yet unclear. Therefore, we aimed to investigate the impact of COC on CVD risk among newly-diagnosed hypertension patients. We conducted a cohort with a study population consisted of 244,187 newly-diagnosed hypertension patients in 2004 from the Korean National Health Insurance Service database. The participants were then divided into approximate quartiles of COC index, and followed from 1 January 2007 until 31 December 2017. Cox proportional hazards models were used to evaluate the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for CVD risk according to quartiles. Compared to patients within the lowest quartile of COC index, those within the highest quartile of COC index had reduced risk for CVD (aHR 0.76, 95% confidence interval; CI 0.73–0.79), CHD (aHR 0.66, 95% CI 0.62–0.69) and stroke (aHR 0.84, 95% CI 0.80–0.88). COC among hypertension patients was associated with improved medication compliance and reduced risk of stroke and CVD. The importance of maintaining COC should be emphasized to reduce the risk of CVD among hypertension patients.