Which questionnaire to use when measuring continuity of care

Patient reported measures of continuity of care and health outcomes: a systematic review

BACKGROUND

There is a considerable amount of research showing an association between continuity of care and improved health outcomes. However, the methods used in most studies examine only the pattern of interactions between patients and clinicians through administrative measures of continuity. The patient experience of continuity can also be measured by using patient reported experience measures. Unlike administrative measures, these can allow elements of continuity such as the presence of information or how joined up care is between providers to be measured. Patient experienced continuity is a marker of healthcare quality in its own right. However, it is unclear if, like administrative measures, patient reported continuity is also linked to positive health outcomes.

METHODS

Cohort and interventional studies that examined the relationship between patient reported continuity of care and a health outcome were eligible for inclusion. Medline, EMBASE, CINAHL and the Cochrane Library were searched in April 2021. Citation searching of published continuity measures was also performed. QUIP and Cochrane risk of bias tools were used to assess study quality. A box-score method was used for study synthesis.

RESULTS

Nineteen studies were eligible for inclusion. 15 studies measured continuity using a validated, multifactorial questionnaire or the continuity/co-ordination subscale of another instrument. Two studies placed patients into discrete groups of continuity based on pre-defined questions, one used a bespoke questionnaire, one calculated an administrative measure of continuity using patient reported data. Outcome measures examined were quality of life (n = 11), self-reported health status (n = 8), emergency department use or hospitalisation (n = 7), indicators of function or wellbeing (n = 6), mortality (n = 4) and physiological measures (n = 2). Analysis was limited by the relatively small number of hetrogenous studies. The majority of studies showed a link between at least one measure of continuity and one health outcome.

CONCLUSION

Whilst there is emerging evidence of a link between patient reported continuity and several outcomes, the evidence is not as strong as that for administrative measures of continuity. This may be because administrative measures record something different to patient reported measures, or that studies using patient reported measures are smaller and less able to detect smaller effects. Future research should use larger sample sizes to clarify if a link does exist and what the potential mechanisms underlying such a link could be. When measuring continuity, researchers and health system administrators should carefully consider what type of continuity measure is most appropriate.

Relational coordination in interprofessional teams and its effect on patient-reported benefit and continuity of care: a prospective cohort study from rehabilitation centres in Western Norway

Background

Rehabilitation services depend on competent professionals who collaborate effectively. Well-functioning interprofessional teams are expected to positively impact continuity of care. Key factors in continuity of care are communication and collaboration among health care professionals in a team and their patients. This study assessed the associations between team functioning and patient-reported benefits and continuity of care in somatic rehabilitation centres.

Methods

This prospective cohort study uses survey data from 984 patients and from health care professionals in 15 teams in seven somatic rehabilitation centres in Western Norway. Linear mixed effect models were used to investigate associations between the interprofessional team communication and relationship scores (measured by the Relational Coordination [RC] Survey and patient-reported benefit and personal-, team- and cross-boundary continuity of care. Patient-reported continuity of care was measured using the Norwegian version of the Nijmegen Continuity Questionnaire.

Results

The mean communication score for healthcare teams was 3.9 (standard deviation [SD] = 0.63, 95% confidence interval [CI] = 3.78, 4.00), and the mean relationship score was 4.1 (SD = 0.56, 95% CI = 3.97, 4.18). Communication scores in rehabilitation teams varied from 3.4–4.3 and relationship scores from 3.6–4.5. Patients treated by teams with higher relationship scores experienced better continuity between health care professionals in the team at the rehabilitation centre (b = 0.36, 95% CI = 0.05, 0.68; p = 0.024). There was a positive association between RC communication in the team the patient was treated by and patient-reported activities of daily living benefit score; all other associations between RC scores and rehabilitation benefit scores were not significant.

Conclusion

Team function is associated with better patient-reported continuity of care and higher ADL-benefit scores among patients after rehabilitation. These findings indicate that interprofessional teams’ RC scores may predict rehabilitation outcomes, but further studies are needed before RC scores can be used as a quality indicator in somatic rehabilitation.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3536-5) contains supplementary material, which is available to authorized users.

Time to manage: patient strategies for coping with an absence of care coordination and continuity

This paper examines how people with chronic illnesses respond to absences of continuity and coordination of care. Little work has been done on how the ill person might mitigate flaws in a less than optimal system. Our qualitative research, carried out among 91 participants in Australia, reveals that people with chronic illnesses create strategies to facilitate the management of their care. These strategies included efforts to improve communication between themselves and their health care practitioners; keeping personal up-to-date medication lists; and generating their own specific management plans. While we do not submit that it is patients' responsibility to attend to gaps in the health system, our data suggests that chronically ill people can, in and through such strategies, exert a measure of agency over their own care; making it effectively more continuous and coordinated. Participants crafted strategies according to the particular social and bodily rhythms that their ongoing illnesses had lent to their lives. Our analysis advances the view that the ill body itself is capable of enfolding the health system into the rhythms of illness - rather than the ill body always fitting into the overarching structural tempo. This entails an agent-centric view of time in illness experience. A Virtual Abstract of this paper can be found at: https://youtu.be/UwbxlEJOTx8.

Relationship between longitudinal continuity of primary care and likelihood of death: analysis of national insurance data

Background

Continuity of care (COC) is a widely accepted core principle of primary care and has been associated with patient satisfaction, healthcare utilization and mortality in many, albeit small, studies.

Objective

To assess the relationship between longitudinal continuity with a primary care physician (PCP) and likelihood of death in the French general population.

Design

Observational study based on reimbursement claims from the French national health insurance (NHI) database for salaried workers (2007–2010).

Setting

Primary care.

Patients

We extracted data on the number and pattern of visits made to a PCP and excluded all patients who did not visit a PCP at least twice within 6 months. We recorded age, gender, comorbidities, social status, and deaths.

Main outcome measures

The primary endpoint was death by all causes. We measured longitudinal continuity of care (COC) with a PCP twice a year between 2007 and 2010, using the COC index developed by Bice and Boxerman. We introduced the COC index as time-dependent variables in a survival analysis after adjustment for age, gender and stratifying on comorbidities and social status.

Results

A total of 325 742 patients were included in the analysis. The average COC index ranged from 0.74 (SD: 0.35) to 0.76 (0.35) (where 1.0 is perfect continuity). Likelihood of death was lower in patients with higher continuity (hazard ratio for an increase in 0.1 of continuity, adjusted for age, sex, and stratified on comorbidities and social status: 0.96 [0.95–0.96]).

Conclusion

Higher longitudinal continuity was associated with a reduced likelihood of death.