Making effective referrals happen: a theory-informed policy analysis

Why Do Patients Seek Diagnose Dis-accordance With Hierarchical Medical System Related Policies in Tertiary Hospitals? A Qualitative Study in Shanghai From the Perspective of Physicians

Background

Although the Hierarchical Medical System has been utilized in China for many years, it is inadequate for guiding patients in adopting appropriate diagnose-seeking behaviors in accordance with related policies. This study examined how patients' diagnose-seeking behavior in tertiary hospitals that is dis-accordance with Hierarchical Medical System related policy (“DSB-dis-accordance”) arise and ways to guide patients away from such behaviors, both from the perspective of physicians.

Methods

A qualitative study based on a mixed method including in-depth interviews and grounded theory. Twenty-seven physicians with more than 2 years of experience serving in tertiary hospitals of Shanghai were involved after reviewing the related purposes and requirements. Patients' “DSB-dis-accordance” was studied from the perspective of physicians.

Results

Patient-related factors (habits, trust, and knowledge), physician-related factors (conservative preference, risk avoidance), and system-related factors (accessibility, operability) affected patients' diagnose-seeking behavior.

Conclusions

Patient-related, physician-related, and system-related factors affecting patients' diagnose-seeking behaviors in tertiary hospitals should be addressed by investing more health resources in lower-level hospitals, enhancing dissemination of health-related and policy-related knowledge, refining the classification of diseases, incentivizing physicians, and developing appropriate follow-up measures. Physicians could then become more involved in guiding patients' “DSB-dis-accordance,” thereby benefitting development of the Hierarchical Medical System in China.

Patterns, travel to care and factors influencing obstetric referral: Evidence from Nigeria's most urbanised state

The criticality of referral makes it imperative to study its patterns and factors influencing it at a health systems level. This study of referral in Lagos, Nigeria is based on health records of 4181 pregnant women who presented with obstetric emergencies at one of the 24 comprehensive emergency obstetric care (EmOC) facilities in the state between November 2018 and October 2019 complemented with distance and time data extracted from Google Maps. Univariate, bivariate, and multivariate analyses were conducted. About a quarter of pregnant women who presented with obstetric emergencies were referred. Most referrals were from primary health centres (41.9 %), private (23.5 %) and public (16.2 %) hospitals. Apart from the expected low-level to high-level referral pattern, there were other patterns observed including non-formal, multiple, and post-delivery referrals. Travel time and distance to facilities that could provide needed care increased two-fold on account of referrals compared to scenarios of going directly to the final facility, mostly travelling to these facilities by private cars/taxis (72.8 %). Prolonged/obstructed labour was the commonest obstetric indication for referral, with majority of referred pregnant women delivered via caesarean section (52.9 %). After adjustment, being married, not being registered for antenatal care at facility of care, presenting at night or with a foetus in distress increased the odds of referral. However, parity, presentation in the months following the commissioning of a new comprehensive EmOC facility or with abortion reduced the likelihood of being referred. Our findings underscore the need for health systems strengthening interventions that support women during referral and the importance of antenatal care and early booking to aid identification of potential pregnancy complications whilst establishing robust birth preparedness plans that can minimise the need for referral in the event of emergencies. Indeed, there are context-specific influences that need to be addressed if effective referral systems are to be designed.

Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria

BACKGROUND

The highest risk of maternal and perinatal deaths occurs during and shortly after childbirth and is preventable if functional referral systems enable women to reach appropriate health services when obstetric complications occur. Rising numbers of deliveries in health facilities, including in high mortality settings like Nigeria, require formalised coordination across the health system to ensure that women and newborns get to the right level of care, at the right time. This study describes and critically assesses the extent to which referral and its components can be captured using three different data sources from Nigeria, examining issues of data quality, validity, and usefulness for improving and monitoring obstetric care systems.

METHODS

The study included three data sources on referral for childbirth care in Nigeria: a nationally representative household survey, patient records from multiple facilities in a state, and patient records from the apex referral facility in a city. We conducted descriptive analyses of the extent to which referral status and components were captured across the three sources. We also iteratively developed a visual conceptual framework to guide our critical comparative analysis.

RESULTS

We found large differences in the proportion of women referred, and this reflected the different denominators and timings of the referral in each data source. Between 16 and 34% of referrals in the three sources originated in government hospitals, and lateral referrals (origin and destination facility of the same level) were observed in all three data sources. We found large gaps in the coverage of key components of referral as well as data gaps where this information was not routinely captured in facility-based sources.

CONCLUSIONS

Our analyses illustrated different perspectives from the national- to facility-level in the capture of the extent and components of obstetric referral. By triangulating across multiple data sources, we revealed the strengths and gaps within each approach in building a more complete picture of obstetric referral. We see our visual framework as assisting further research efforts to ensure all referral pathways are captured in order to better monitor and improve referral systems for women and newborns.