Valued Components of a Consultant Letter from Referring Physicians' Perspective: a Systematic Literature Synthesis.

Background: Effective communication between the consultants and physicians form an integral foundation of effective and expert patient care. A broad review of the literature has not been undertaken to determine the components of a consultant's letter of most value to the referring physician. We aimed to identify the components of a consultant's letter preferred by referring physicians.

Methods: We searched Embase and MEDLINE (OVID) Medicine (EBM) Reviews and Cochrane Database of Systematic Reviews for English articles with no restriction on initial date to January 6, 2017. Articles containing letters from specialists to referring physicians regarding outpatient assessments with either an observational or experimental design were included. Studies were excluded if they pertained to communications from referring physicians to consultant specialists, or pertained to allied health professionals, inpatient documents, or opinion articles. We enumerated the frequencies with which three common themes were addressed, and the positive or negative nature of the comments. The three themes were the structure of consultant letters, their contents, and whether referring physicians and consultants shared a common opinion about the items.

Results: Eighteen articles were included in our synthesis. In 11 reports, 91% of respondents preferred structured formats. Other preferred structural features were problem lists and brevity (four reports each). The most preferred contents were oriented to insight: diagnosis, prognosis, and management plan (16/21 mentions in the top tertile). Data items such as history, physical examination, and medication lists were less important (1/23 mentions in the top tertile). Reports varied as to whether referring physicians and consultants shared common opinions about letter features.

Conclusions: Referring physicians prefer brief, structured letters from consultants that feature diagnostic and prognostic opinions and management plans over unstructured letters that emphasize data elements such as detailed histories and medication lists. Whether these features improve outcomes is unknown.