Impact of spirometry on GPs’ diagnostic differentiation and decision-making
Background: Spirometry is increasingly implemented in general practice, while the ability of general practitioners (GPs) to interpret flow–volume curves ( F– V curves) has been questioned. Furthermore, the role of spirometry in the GPs decision-making process has barely been studied. Aim: To compare...
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description | Background: Spirometry is increasingly implemented in general practice, while the ability of general practitioners (GPs) to interpret flow–volume curves (
F–
V curves) has been questioned. Furthermore, the role of spirometry in the GPs decision-making process has barely been studied.
Aim: To compare the achievements of trained GPs in spirometric diagnosis with an expert consensus panel (1) and to assess the influence of spirometry on the GPs decision-making (2).
Method: Twelve cases including a wide range of
F–
V curves were interpreted by 39 GPs as well as the expert panel. Diagnostic test characteristics were calculated using multi-level analysis and summarised by diagnostic odds ratios (DOR). Differences in decision-making indicators were expressed as odds ratios and 95% confidence intervals.
Results: Normal
F–
V curves (DOR 65.0) and obstructive
F–
V curves (DOR 48.9) were reasonably well diagnosed, while rare and mixed pathological patterns achieved considerably lower scores (DOR 3.8). Intermediate scores were obtained in the recognition of incorrect test manoeuvres (DOR 24.4). Spirometry influenced the GPs decision-making in reducing the number of alternative diagnoses (OR 0.266 [0.200, 0.353]), but also increased referral rates (7.26 [4.71, 11.2]) and the use of diagnostic prednisolone courses (4.55 [3.12, 6.64]) substantially.
Conclusion: Trained GPs were able to differentiate between normal and obstructive disease patterns, while
F–
V curves suggestive of rare and mixed pathology were often missed. Spirometry seems to influence the decision-making process of the GP; whether this represents an initial or a more sustained effect remains to be evaluated in studies of daily primary care practice. |
doi_str_mv | 10.1016/j.rmed.2004.04.004 |
format | Article |
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F–
V curves) has been questioned. Furthermore, the role of spirometry in the GPs decision-making process has barely been studied.
Aim: To compare the achievements of trained GPs in spirometric diagnosis with an expert consensus panel (1) and to assess the influence of spirometry on the GPs decision-making (2).
Method: Twelve cases including a wide range of
F–
V curves were interpreted by 39 GPs as well as the expert panel. Diagnostic test characteristics were calculated using multi-level analysis and summarised by diagnostic odds ratios (DOR). Differences in decision-making indicators were expressed as odds ratios and 95% confidence intervals.
Results: Normal
F–
V curves (DOR 65.0) and obstructive
F–
V curves (DOR 48.9) were reasonably well diagnosed, while rare and mixed pathological patterns achieved considerably lower scores (DOR 3.8). Intermediate scores were obtained in the recognition of incorrect test manoeuvres (DOR 24.4). Spirometry influenced the GPs decision-making in reducing the number of alternative diagnoses (OR 0.266 [0.200, 0.353]), but also increased referral rates (7.26 [4.71, 11.2]) and the use of diagnostic prednisolone courses (4.55 [3.12, 6.64]) substantially.
Conclusion: Trained GPs were able to differentiate between normal and obstructive disease patterns, while
F–
V curves suggestive of rare and mixed pathology were often missed. Spirometry seems to influence the decision-making process of the GP; whether this represents an initial or a more sustained effect remains to be evaluated in studies of daily primary care practice.</description><identifier>ISSN: 0954-6111</identifier><identifier>EISSN: 1532-3064</identifier><identifier>DOI: 10.1016/j.rmed.2004.04.004</identifier><identifier>PMID: 15526814</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Adult ; Asthma - diagnosis ; Biological and medical sciences ; Clinical Competence ; Decision Making ; Diagnosis, Differential ; Family Practice - methods ; Family Practice - standards ; Female ; Humans ; Interpretation ; Male ; Medical sciences ; Middle Aged ; Netherlands ; Observer Variation ; Pneumology ; Predictive Value of Tests ; Primary care ; Pulmonary Disease, Chronic Obstructive - diagnosis ; Spirometry ; Spirometry - methods ; Spirometry - standards</subject><ispartof>Respiratory medicine, 2004-11, Vol.98 (11), p.1124-1130</ispartof><rights>2004 Elsevier Ltd</rights><rights>2004 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-44480b48f4b9b4c949078db2cc7632ae4c09d35dbc06f0ce70275b336e9c5d1c3</citedby><cites>FETCH-LOGICAL-c454t-44480b48f4b9b4c949078db2cc7632ae4c09d35dbc06f0ce70275b336e9c5d1c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0954611104001702$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16185924$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15526814$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chavannes, Niels</creatorcontrib><creatorcontrib>Schermer, Tjard</creatorcontrib><creatorcontrib>Akkermans, Reinier</creatorcontrib><creatorcontrib>Jacobs, J.E.</creatorcontrib><creatorcontrib>van de Graaf, Gabrielle</creatorcontrib><creatorcontrib>Bollen, Ralf</creatorcontrib><creatorcontrib>van Schayck, Onno</creatorcontrib><creatorcontrib>Bottema, Ben</creatorcontrib><title>Impact of spirometry on GPs’ diagnostic differentiation and decision-making</title><title>Respiratory medicine</title><addtitle>Respir Med</addtitle><description>Background: Spirometry is increasingly implemented in general practice, while the ability of general practitioners (GPs) to interpret flow–volume curves (
F–
V curves) has been questioned. Furthermore, the role of spirometry in the GPs decision-making process has barely been studied.
Aim: To compare the achievements of trained GPs in spirometric diagnosis with an expert consensus panel (1) and to assess the influence of spirometry on the GPs decision-making (2).
Method: Twelve cases including a wide range of
F–
V curves were interpreted by 39 GPs as well as the expert panel. Diagnostic test characteristics were calculated using multi-level analysis and summarised by diagnostic odds ratios (DOR). Differences in decision-making indicators were expressed as odds ratios and 95% confidence intervals.
Results: Normal
F–
V curves (DOR 65.0) and obstructive
F–
V curves (DOR 48.9) were reasonably well diagnosed, while rare and mixed pathological patterns achieved considerably lower scores (DOR 3.8). Intermediate scores were obtained in the recognition of incorrect test manoeuvres (DOR 24.4). Spirometry influenced the GPs decision-making in reducing the number of alternative diagnoses (OR 0.266 [0.200, 0.353]), but also increased referral rates (7.26 [4.71, 11.2]) and the use of diagnostic prednisolone courses (4.55 [3.12, 6.64]) substantially.
Conclusion: Trained GPs were able to differentiate between normal and obstructive disease patterns, while
F–
V curves suggestive of rare and mixed pathology were often missed. Spirometry seems to influence the decision-making process of the GP; whether this represents an initial or a more sustained effect remains to be evaluated in studies of daily primary care practice.</description><subject>Adult</subject><subject>Asthma - diagnosis</subject><subject>Biological and medical sciences</subject><subject>Clinical Competence</subject><subject>Decision Making</subject><subject>Diagnosis, Differential</subject><subject>Family Practice - methods</subject><subject>Family Practice - standards</subject><subject>Female</subject><subject>Humans</subject><subject>Interpretation</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Netherlands</subject><subject>Observer Variation</subject><subject>Pneumology</subject><subject>Predictive Value of Tests</subject><subject>Primary care</subject><subject>Pulmonary Disease, Chronic Obstructive - diagnosis</subject><subject>Spirometry</subject><subject>Spirometry - methods</subject><subject>Spirometry - standards</subject><issn>0954-6111</issn><issn>1532-3064</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM2KFDEQgIO4uOPqC3iQBtFbj5V0Jd0NXpZF14UVPeg5pJPqJeN0MiY9wt58DV9vn2TTzqCwB6EgKeqrHz7GXnBYc-Dq7WadJnJrAYDrJQAfsRWXjagbUPiYraCXWCvO-Sl7mvMGAHpEeMJOuZRCdRxX7NPVtDN2ruJY5Z1PcaI53VYxVJdf8t2v35Xz5ibEPHtbvuNIicLszewLYYKrHFmfS1JP5rsPN8_YyWi2mZ4f3zP27cP7rxcf6-vPl1cX59e1RYlzjYgdDNiNOPQD2h57aDs3CGtb1QhDaKF3jXSDBTWCpRZEK4emUdRb6bhtztibw9xdij_2lGc9-WxpuzWB4j5r1QKCkqKArx6Am7hPodymOTQSyuY_lDhQNsWcE416l_xk0m2B9KJab_SiWi-q9RKApenlcfR-WGp_W45uC_D6CJhszXZMJhRZ_zjFO9mLhXt34KgY--kp6Ww9BUvOJ7KzdtH_7457086ccQ</recordid><startdate>20041101</startdate><enddate>20041101</enddate><creator>Chavannes, Niels</creator><creator>Schermer, Tjard</creator><creator>Akkermans, Reinier</creator><creator>Jacobs, J.E.</creator><creator>van de Graaf, Gabrielle</creator><creator>Bollen, Ralf</creator><creator>van Schayck, Onno</creator><creator>Bottema, Ben</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U9</scope><scope>ASE</scope><scope>FPQ</scope><scope>H94</scope><scope>K6X</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20041101</creationdate><title>Impact of spirometry on GPs’ diagnostic differentiation and decision-making</title><author>Chavannes, Niels ; Schermer, Tjard ; Akkermans, Reinier ; Jacobs, J.E. ; van de Graaf, Gabrielle ; Bollen, Ralf ; van Schayck, Onno ; Bottema, Ben</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c454t-44480b48f4b9b4c949078db2cc7632ae4c09d35dbc06f0ce70275b336e9c5d1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Adult</topic><topic>Asthma - diagnosis</topic><topic>Biological and medical sciences</topic><topic>Clinical Competence</topic><topic>Decision Making</topic><topic>Diagnosis, Differential</topic><topic>Family Practice - methods</topic><topic>Family Practice - standards</topic><topic>Female</topic><topic>Humans</topic><topic>Interpretation</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Netherlands</topic><topic>Observer Variation</topic><topic>Pneumology</topic><topic>Predictive Value of Tests</topic><topic>Primary care</topic><topic>Pulmonary Disease, Chronic Obstructive - diagnosis</topic><topic>Spirometry</topic><topic>Spirometry - methods</topic><topic>Spirometry - standards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chavannes, Niels</creatorcontrib><creatorcontrib>Schermer, Tjard</creatorcontrib><creatorcontrib>Akkermans, Reinier</creatorcontrib><creatorcontrib>Jacobs, J.E.</creatorcontrib><creatorcontrib>van de Graaf, Gabrielle</creatorcontrib><creatorcontrib>Bollen, Ralf</creatorcontrib><creatorcontrib>van Schayck, Onno</creatorcontrib><creatorcontrib>Bottema, Ben</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Virology and AIDS Abstracts</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Respiratory medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chavannes, Niels</au><au>Schermer, Tjard</au><au>Akkermans, Reinier</au><au>Jacobs, J.E.</au><au>van de Graaf, Gabrielle</au><au>Bollen, Ralf</au><au>van Schayck, Onno</au><au>Bottema, Ben</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of spirometry on GPs’ diagnostic differentiation and decision-making</atitle><jtitle>Respiratory medicine</jtitle><addtitle>Respir Med</addtitle><date>2004-11-01</date><risdate>2004</risdate><volume>98</volume><issue>11</issue><spage>1124</spage><epage>1130</epage><pages>1124-1130</pages><issn>0954-6111</issn><eissn>1532-3064</eissn><abstract>Background: Spirometry is increasingly implemented in general practice, while the ability of general practitioners (GPs) to interpret flow–volume curves (
F–
V curves) has been questioned. Furthermore, the role of spirometry in the GPs decision-making process has barely been studied.
Aim: To compare the achievements of trained GPs in spirometric diagnosis with an expert consensus panel (1) and to assess the influence of spirometry on the GPs decision-making (2).
Method: Twelve cases including a wide range of
F–
V curves were interpreted by 39 GPs as well as the expert panel. Diagnostic test characteristics were calculated using multi-level analysis and summarised by diagnostic odds ratios (DOR). Differences in decision-making indicators were expressed as odds ratios and 95% confidence intervals.
Results: Normal
F–
V curves (DOR 65.0) and obstructive
F–
V curves (DOR 48.9) were reasonably well diagnosed, while rare and mixed pathological patterns achieved considerably lower scores (DOR 3.8). Intermediate scores were obtained in the recognition of incorrect test manoeuvres (DOR 24.4). Spirometry influenced the GPs decision-making in reducing the number of alternative diagnoses (OR 0.266 [0.200, 0.353]), but also increased referral rates (7.26 [4.71, 11.2]) and the use of diagnostic prednisolone courses (4.55 [3.12, 6.64]) substantially.
Conclusion: Trained GPs were able to differentiate between normal and obstructive disease patterns, while
F–
V curves suggestive of rare and mixed pathology were often missed. Spirometry seems to influence the decision-making process of the GP; whether this represents an initial or a more sustained effect remains to be evaluated in studies of daily primary care practice.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><pmid>15526814</pmid><doi>10.1016/j.rmed.2004.04.004</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Elsevier ScienceDirect Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Adult Asthma - diagnosis Biological and medical sciences Clinical Competence Decision Making Diagnosis, Differential Family Practice - methods Family Practice - standards Female Humans Interpretation Male Medical sciences Middle Aged Netherlands Observer Variation Pneumology Predictive Value of Tests Primary care Pulmonary Disease, Chronic Obstructive - diagnosis Spirometry Spirometry - methods Spirometry - standards |
title | Impact of spirometry on GPs’ diagnostic differentiation and decision-making |
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