Identification, summary and comparison of tools used to measure organizational attributes associated with chronic disease management within primary care settings

Abstract

Rationale, aims and objectives Given the increasing emphasis being placed on managing patients with chronic diseases within primary care, there is a need to better understand which primary care organizational attributes affect the quality of care that patients with chronic diseases receive. This study aimed to identify, summarize and compare data collection tools that describe and measure organizational attributes used within the primary care setting worldwide. Methods Systematic search and review methodology consisting of a comprehensive and exhaustive search that is based on a broad question to identify the best available evidence was employed. Results A total of 30 organizational attribute data collection tools that have been used within the primary care setting were identified. The tools varied with respect to overall focus and level of organizational detail captured, theoretical foundations, administration and completion methods, types of questions asked, and the extent to which psychometric property testing had been performed. The tools utilized within the Quality and Costs of Primary Care in Europe study and the Canadian Primary Health Care Practice-Based Surveys were the most recently developed tools. Furthermore, of the 30 tools reviewed, the Canadian Primary Health Care Practice-Based Surveys collected the most information on organizational attributes. Conclusions There is a need to collect primary care organizational attribute information at a national level to better understand factors affecting the quality of chronic disease prevention and management across a given country.

Exploring the utility of the Nursing Role Effectiveness Model in evaluating nursing contributions in primary health care: A scoping review

“…For example, with respect to the nursing‐sensitive outcomes identified in the NREM, functional status, as a measure for readiness of discharge from a health care institution or service, may not be relevant in the primary health care setting, where patients receive care periodically as needed over the course of their life‐time and are not discharged. Many studies have found that nurses in primary health care are extensively involved with chronic disease management and can positively affect patient outcomes (Dahrouge et al, ; Denver, Barnard, Woolfson, & Earle, ; Hogg et al, ; Kleinpell, ; Laurant et al, ; Loveman, Royle, & Waugh, ; Lukewich, Corbin, et al, ; Lukewich, Edge, VanDenKerkhof, & Tranmer, ; Lukewich, Edge, VanDenKerkhof, Williamson, & Tranmer, ; Renders et al, ; Schadewaldt & Schultz, ; Vrijhoef, Diederiks, Spreeuwenberg, Wolffenbuttel, & van Wilderen, ). Thus, there is precedence for the modification of the NREM to meet the unique requirements of different health care environments, particularly primary health care (Redekopp, ; Sidani & Irvine, ; Yoon, ).…”

Team composition and chronic disease management within primary healthcare practices in eastern Ontario: an application of the Measuring Organizational Attributes of Primary Health Care Survey

“…Organizational attributes were captured using a modified version of the ‘Measuring Organizational Attributes of Primary Health Care Survey’ developed by CIHI (2013). The decision to use this tool was informed by a systematic search and review conducted by the study authors (Lukewich et al ., 2014). The selected questionnaire was designed to describe the composition of the PHC team, healthcare services offered within the practice and the organization of healthcare services.…”

“…Although characteristics and structures that are intrinsic to the organization and delivery of care at a practice-level were accurately captured from administrative leads or managers (Lukewich et al ., 2014), specific roles that nurses undertook within the practices may not be as accurate had this information been collected directly from nurses themselves. Similarly, as reported by an employed individual within the practice, there is a possible inclination to provide more positive responses (ie, social desirability bias) (Kaissi and Parchman, 2006).…”

Leveraging quality improvement through use of the Systems Assessment Tool in Indigenous primary health care services: a mixed methods study

“…Bonomi et al [ 13 ] reported on the evaluation of the ACIC tool, demonstrating its sensitivity to detecting system improvements in two chronic illness care areas: diabetes and congestive heart failure. Of the tools designed to measure organisational attributes associated with effective chronic disease management in PHC settings, the ACIC tool is most cited in publications [ 17 ]. Research by Parchman et al [ 18 ] confirmed that the characteristics of primary care clinics delivering care to type 2 diabetes patients (as measured by the clinics’ ACIC scores) were an important predicator of glucose control.…”