Clinical Problems That Lead to Good Research

Clinical problems fall into four main categories, each leading to a different type of research question and study design: 1. Diagnostic problems: 'How do we accurately identify this condition?' These lead to diagnostic accuracy studies comparing a new test against a reference standard. Example: Is point-of-care ultrasound accurate enough to replace CT for diagnosing DVT in pregnant women? 2. Therapeutic problems: 'Which treatment works better?' These lead to interventional studies (ideally RCTs) or comparative effectiveness research. Example: Does physiotherapy plus surgery produce better outcomes than physiotherapy alone for rotator cuff tears? 3. Prognostic problems: 'What will happen to this patient?' These lead to cohort studies that follow patients over time. Example: What factors predict 5-year survival in patients with stage III colon cancer? 4. Etiological problems: 'What causes this condition?' These lead to case-control or cohort studies exploring risk factors. Example: Is night-shift work associated with increased risk of breast cancer? A good research problem should be: Common enough to recruit sufficient participants. Important enough that the answer changes clinical practice. Uncertain enough that a study is ethically justified. Measurable with available tools and within realistic timeframes.