NANDA-I Nursing Diagnosis Matcher

A complete nursing diagnosis statement can have two or three parts, depending on the type of diagnosis:Ek complete nursing diagnosis statement ke do ya teen parts ho sakte hain, diagnosis ke type par depend karte hue:

Problem — the NANDA-I label itself (e.g., "Decreased Activity Tolerance").khud NANDA-I label (jaise, "Decreased Activity Tolerance").
Etiology ("related to") — the cause or contributing factor, for an actual (problem-focused) diagnosis.cause ya contributing factor, ek actual (problem-focused) diagnosis ke liye.
Evidence ("as evidenced by") — the objective/subjective data that proves the problem is actually present right now.objective/subjective data jo prove karta hai ki problem actually abhi present hai.

Three diagnosis types, three statement shapes:Teen diagnosis types, teen statement shapes:

• Actual (problem-focused) — three parts: Problem + related to + as evidenced by. The problem is present right now, with data to prove it.teen parts: Problem + related to + as evidenced by. Problem abhi present hai, usse prove karne ke liye data ke saath.
• Risk — two parts: Problem + risk factors. Never an "as evidenced by" — the problem hasn't happened yet. If it had, it wouldn't be a risk diagnosis anymore.do parts: Problem + risk factors. Kabhi bhi "as evidenced by" nahi — problem abhi tak hua nahi hai. Agar hota, toh yeh risk diagnosis nahi rehta.
• Health promotion — two parts: Problem ("Readiness for enhanced…") + as evidenced by. There's no etiology, because readiness to grow isn't a problem that needs a cause — it's a strength you're documenting evidence for.do parts: Problem ("Readiness for enhanced…") + as evidenced by. Koi etiology nahi hoti, kyunki grow karne ki readiness ek aisi problem nahi hai jisse ek cause chahiye — yeh ek strength hai jiske liye aap evidence document kar rahe hain.

The part students most often get wrong:Woh part jo students sabse zyada galat karte hain: picking the right diagnosis label but the wrong etiology or evidence underneath it — or picking an actual diagnosis when the data only supports a risk diagnosis. This tool scores all three slots independently and shows you exactly which one went wrong, not just whether the overall label was right.sahi diagnosis label pick karna lekin uske neeche galat etiology ya evidence — ya ek actual diagnosis pick karna jab data sirf ek risk diagnosis support karta hai. Yeh tool teeno slots ko independently score karta hai aur aapko exactly dikhata hai ki kaunsa galat hua, sirf yeh nahi ki overall label sahi tha ya nahi.