The American Journal of Managed Care March 2009
Patient Factors Associated With Following a Relocated Primary Care Provider Among Older Adults
There are differences between patients who elect to maintain continuity with their PCP versus those who choose to change their PCP for convenience.
Objectives: To use a natural experiment to identify patient factors associated with the decision to follow one’s primary care provider (PCP) to a more distant location after the closure of a medical practice.
Study Design: Case-control study. Methods: Eight months after the closure of a practice in Dundalk, Maryland, we randomly selected 140 patients older than 60 years from each of the following groups: those who followed their PCP (continuity group) and those who transferred to a closer clinic (proximity group). We designed a survey instrument to collect information about demographics, duration of the patient-PCP relationship, transportation, self-assessed driving proficiency, and patients’ estimates of the distance in miles and the driving time in minutes from their homes to both practices. Χ2 Tests and logistic regression analyses were used to determine differences between the groups.
Results: The response rate to the survey was 64%. More than 85% of patients in both groups had been with their original PCP for longer than 2 years. In multivariable analysis, the following 3 factors were associated with being a patient in the proximity group: living alone (adjusted odds ratio [OR], 3.14; 95% confidence interval [CI], 1.35-7.26), having greater physical disability (physical component summary score <40; OR, 2.14; 95% CI, 1.04-4.39), and perceiving that travel time from home to the farther clinic would require at least 10 minutes longer than the MapQuest estimate (OR, 4.08; 95% CI, 1.97-8.43).
Conclusion: Older patients who live alone and are weaker seem to be more likely to forgo continuity with their PCP for the sake of convenience when a barrier to access occurs such as relocation of the physician to a more distant office.
(Am J Manag Care. 2009;15(2):195-200)
Patients who elect to maintain continuity with their primary care provider (PCP) even when a barrier such as relocation of the physician to a more distant office is imposed differ from those who forgo continuity of care for the sake of convenience.
- This study adds to the understanding of the factors associated with decisions made by older patients related to maintaining continuity with a PCP.
- Organizations may want to be particularly mindful of and sensitive to patients’ needs when planning changes that will be disruptive to or affect continuity of care.
In this study of patients whose primary care clinic closed, we examined the factors associated with older patients’ choosing to follow their PCPs to a more distant site compared with older patients who transferred their care to new PCPs at an affiliated clinic near the original clinic. We hypothesized that patients who were older and sicker and those who overestimated the distance between their home and the distant clinic would sacrifice continuity for the sake of accessing care closer to them.
We conducted a case-control study comparing older patients who followed their PCPs to a more distant clinic with older patients who transferred their care to a practice close to their original clinic. The former constituted the continuity group, and the latter constituted the proximity group.
Setting and Sampling
The study population comprised patients served by 5 internal medicine PCPs at a freestanding clinic practice in Dundalk, Maryland. Five months before the closure of the clinic, all patients were invited to follow their PCPs to a new practice 11 miles from the original clinic. Alternatively, they could opt to transfer their care and records to an affiliated primary care clinic located in the same town 2 miles from the original clinic, or they could find another arrangement on their own. Both the distant and nearby primary care group practices were the same as the original clinic in terms of structure, operations, size, and acceptance of the same insurance types.
Eight months after the closure of the primary clinic, it became apparent where the patients had elected to pursue their ongoing care. We used electronic databases to generate the following 2 lists of patients older than 60 years from the original office: (1) those who had followed their PCP to the new farther clinic (continuity group) and (2) those who had transferred their care to a new PCP at the affiliated nearby clinic (proximity group). We chose to study older patients because they have more chronic medical conditions and because the barrier of transportation is more significant among older adults. Patients living in nursing homes or assisted-living communities were excluded from the study.
From each list, we randomly selected 140 patients for inclusion in the study. To do this, we used a random integer generator (http://www.random.org).
The research team used an evidence-based iterative process to develop the questionnaire. We performed a comprehensive literature review on the topics of clinic closings, physician relocation, continuity of care, and patient loyalty to physicians. We organized the questionnaire into the following sections: demographic characteristics, self-reported medical conditions, duration of the patient-PCP relationship, driving proficiency, and patient perceptions about distance and travel time between their home and the 2 clinic sites. The literature review and the experience of the research team (who have also undergone practice location moves) contribute evidence of the instrument’s content validity.
The survey included the following 2 instruments: (1) the previously validated reliable 12-Item Short-Form Health Survey to measure physical disability (physical component summary [PCS] score) and mental disability16,17 and (2) Drivers 55 Plus Self-Rating Form, a measure designed by the American Automobile Association to assess driving proficiency and to enhance self-awareness about areas for improvement.18
Two survey questions asked patients to approximate the distance in miles and the travel time in minutes from their home to the distant clinic and to the closer clinic. We also verified actual distances and times by entering the patient’s home address and both clinic addresses into an online map service, MapQuest.19
The final version of the 4-page questionnaire took approximately 20 minutes to complete. To improve the clarity of questions, we conducted pilot testing among elderly patients from the original clinic who were not randomly selected for participation in the study.
We mailed the survey to the study sample 8 months after the closure of the original primary care practice. This time frame was selected such that participants would have interacted with and received care at their new site. We included a consent form to be signed and returned to the investigators. We used repeated mailings to encourage participation. A Johns Hopkins University institutional review board approved the study.
The continuity group (who followed PCPs to the distant clinic) was compared with the proximity group (who transferred to the closer clinic). χ2 Tests were used for dichotomous variables and t tests for continuous variables.
We also compared patients’ perceptions versus online estimates of distances (in miles) and times (in minutes) from their homes to the clinics. We categorized patients’ estimates as overestimates or as underestimates.
Logistic regression modeling was used to identify variables that independently distinguished between continuity and proximity patients. We included variables in the final model that had statistical associations of P <.10 in bivariate analyses. We applied stepwise backward selection logistic regression analysis and took into account the change in model χ2 statistic with the addition and deletion of each variable. Final model variables were examined for evidence of colinearity and for interactions.
We estimated that a sample size of 168 patients (which assumed a 60% response rate from 280 patients surveyed) would be adequately powered to detect meaningful differences between the groups. For example, to detect a 5-point difference (SD, 10) in the PCS score of the 12-Item Short-Form Health Survey with 0.05 significance and 0.80 power requires 63 patients from each group. We conducted all statistical analyses using STATA 8.2 (StataCorp LP, College Station, TX).
Response Rate and Characteristics of Respondents
Surveys were completed by 104 of 140 (74%) continuity patients and by 76 of 140 (54%) proximity patients. Sex and racial/ethnic characteristics of the responders were similar to the population characteristics of the suburban town of Dundalk, and nonresponders were similar to respondents in terms of age, sex, and race/ethnicity (P >.05 for all).
Characteristics of the proximity and continuity patients are given in Table 1. In bivariate analyses, proximity patients were older than continuity patients (mean age, 75 vs 70 years; P <.001). Proximity patients were more likely to live alone (38% vs 19%, P = .003) and to have Medicare only or Medicare with secondary insurance (72% vs 54%, P = .01).Proximity patients also had lower 12-Item Short-Form Health Survey PCS scores, indicating greater disability (mean, 36.8 vs 40.3; P = .05).
The percentages of patients still driving (P = .09) and their self-assessed driving proficiency scores (P = .18) were high and were not significantly different between the groups (Table 1). However, proximity patients were more likely to overestimate the driving time that it would take to reach the more distant
clinic from their home (P <.001).
Characteristics that were associated with increased odds of being a proximity patient (P <.10) were included in the multivariable model. Table 2 summarizes the modeling that included and adjusted for all such variables. The following 3 variables were independently associated with being a proximity patient: living alone (odds ratio [OR], 3.14; 95% confidence interval [CI], 1.35-7.26), having greater physical disability (PCS score <40; OR, 2.14; 95% CI, 1.04-4.39), and perceiving that travel time from home to the farther clinic would require at least 10 minutes longer than the MapQuest estimate (OR, 4.08; 95% CI, 1.97-8.43). No colinearity was found among the variables in the final model.
The objective of this study was to investigate, after the closure of a primary care clinic, the factors associated with older patients following their established PCP to a more distant clinic compared with older patients transferring their care to a closer clinic with a new PCP. We hypothesized that more frail patients and those with barriers to travel would not follow their PCP to the distant site. We found that living alone, having a lower PCS score (or more disability), and overestimating the time required to travel from one’s home to the disntant clinic were the only 3 variables that were independently associated with older patients who chose to forgo continuity with their PCPs for the practicality of a closer clinic site.
Prior research has suggested that the elderly and those with chronic medical conditions especially value continuity of care with their PCPs.1,9,10 In a longitudinal cohort study, Mold et al10 demonstrated that older patients have greater satisfaction in longer relationships with their PCPs and tend to stay with their PCPs until forced to change; the impetuses for change most commonly observed were insurance-related issues and physician retirement or relocation. Our study adds to the literature in that it focused in a natural experiment solely on older adults at a time when a change in their healthcare delivery options was forced on them.