Small polyclinic teams cut hospital use in Singapore

Design

Retrospective matched cohort with difference-in-differences analysis

Population

Polyclinic patients with diabetes, hypertension or hyperlipidaemia in Singapore, 2014–2021

Primary outcome

Clinical measures, screening adherence, health care use and costs over 5 years

Effect

Foot screening +16%, eye screening +6%; net saving about SGD 2,186 per patient

Singapore's polyclinics introduced a 'teamlet' model in 2014: patients with chronic disease were assigned to a small team of two family physicians, a nurse and a care coordinator. This retrospective study matched enrolled patients with diabetes, hypertension or high cholesterol to usual-care controls and used national data over five years, with a difference-in-differences analysis.

Clinical changes were small: systolic blood pressure fell by 0.65 mm Hg and LDL cholesterol by 0.03 mmol/L. Care processes improved more, with 16% more foot screening and 6% more eye screening in diabetes. Hospital admissions, specialist visits and emergency attendances fell, and although polyclinic costs rose, net savings were about SGD 2,186 per patient.

For busy, high-volume clinics, including Indian urban and public primary care, the lesson is that small named teams can improve continuity and process without dramatic clinical shifts. This is observational, so some of the effect may reflect who was enrolled.

• Assign chronic disease patients to a small named team rather than any available doctor.
• Give a nurse or coordinator responsibility for screening reminders such as foot and eye checks.
• Expect better process measures before large changes in blood pressure or HbA1c.
• Track admissions and specialist referrals as outcomes of team-based care.

Why it matters

How a clinic is organised changed hospital use more than it changed laboratory numbers.

Don't overread it

The clinical improvements were marginal; the gains were mainly in screening and utilisation.

The statistics, in plain English

Difference-in-differences compares how outcomes changed over time in the teamlet group against how they changed in matched controls, which removes some background trends. It is still observational, and the very small changes in blood pressure and cholesterol are unlikely to matter clinically on their own.

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