Coordinated Treatment of Depression in Elderly People in Primary Care
A cluster-randomized, controlled study (GermanIMPACT)
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Background: Depression in the elderly is mainly treated by primary care physicians; the treatment is often suboptimal because of the limited resources available in primary care. New models of care in which treatment by a primary care physician is supplemented by the provision of brief, low-threshold interventions mediated by care managers are showing themselves to be a promising approach.
Methods: In this open, cluster-randomized, controlled study, we sought to determine the superiority of a model of this type over the usual form of treatment by a primary care physician. Patients in primary care aged 60 and above with moderate depressive manifestations (PHQ-9: 10–14 points) were included in the study. The primary endpoint was the percentage of patients in remission (score <5 on the Patient Health Questionnaire, PHQ-9) after the end of the intervention (12 months after baseline). The study was registered in the German Clinical Studies Registry (Deutsches Register für Klinische Studien) with the number DRKS00003589.
Results: 71 primary care physicians entered 248 patients in the study, of whom 109 were in the control group and 139 in the intervention group. In an intention-to-treat analysis, the remission rate at 12 months was 25.6% (95% confidence interval [18.3; 32.8]) in the intervention group and 10.9% [5.4; 16.5]) in the control group (p = 0.004).
Conclusion: This study demonstrates the superiority of the new care model in the primary care setting in Germany, as has been found in other countries.
Depression is one of the commonest mental illnesses affecting persons aged 65 and above (whom we shall call “the elderly” in the rest of this article), with an annual prevalence of 14% (1). Approximately 10% of elderly patients in primary care have depression (2). This highly prevalent condition is clinically significant because it markedly impairs functional ability and quality of life (3), elevates mortality due to suicide (4), and worsens concomitant somatic illnesses (5).
Elderly patients with depression suffer from specific care deficits. Depression is often more difficult to diagnose in the elderly because of concomitant somatic illnesses, along with a tendency for the manifestations of depression to be somatically oriented (6, 7). The elderly rarely receive psychotherapy even when it is indicated and are less likely to be treated in accordance with the guidelines (8). The reasons for this include negative attitudes toward aging that cause patients, physicians, and psychotherapists to have low expectations for the treatability of depression, as well as lack of information, the fear that patients will be stigmatized, and inadequate network integration of physicians and psychotherapists (9, 10). Most elderly patients with depression are treated solely in primary care (11, 12). Elderly patients, like younger ones, may need psychosocial intervention (13, 14); it has been found that elderly patients are more likely to be open to receiving such kind of treatment if the diagnosis is established by a primary care physician (13).
Newer care models address these care deficits (15). One of the more successful ones is the “Improving Mood—Promoting Access to Collaborative Treatment” (IMPACT) model (16), in which the depressed patient is treated in collaboration by the primary care physician, a care manager, and a supervising psychiatrist or psychotherapist. This model was developed in the USA, and studies there have shown it to be beneficial; it has since been implemented in other countries and found to be beneficial there as well (17). The model has now been adapted for use in Germany. In the GermanIMPACT study, we evaluated its effectiveness in comparison to the alternative of usual treatment.
The GermanIMPACT study was supported by the German Federal Ministry of Education and Research (FKZ: 01GY1142). Before recruitment began, it was registered in the German Clinical Studies Registry (Deutsches Register für Klinische Studien) with the number DRKS00003589 and extensively described in a published study protocol (18). Consultation was obtained from the Ethics Committee of the Albert-Ludwigs-Universität in Freiburg (150/12). The method of the study is described in detail in the eMethods section.
The goal of the study was to compare GermanIMPACT with treatment as usual (TAU) in primary care in a cluster-randomized, controlled trial. After inclusion in the study, the participating physicians’ practices were randomly allotted to the intervention group (IG) or the control group (CG). Despite the cluster-randomized study design, the focus of the study, the intervention, and the collection of data were all centered on the individual patient. Potentially suitable patients were identified via practice software; the primary care physician determined the current severity of depressive manifestations with the Patient Health Questionnaire-9 (PHQ-9), informed the patient about the study, and obtained his or her consent to participate in it. The relevant data for statistical evaluations were acquired by all of the study centers in uniform fashion by postal questionnaire, at baseline (t0), at 6 months (t1), and at the end of the intervention, i.e., at 12 months (t2). The study was carried out from September 2012 (start of recruitment) until August 2015 (end of all interventions).
Stepwise treatment was given in the framework of the study (Figure 1). It was oriented to the current condition of each patient. Treatment was provided in a collaborative effort by the primary care physician (a board-certified general practitioner or internist in primary care practice), the care manager, and the supervisor (either a physician with board certification in psychiatry and psychotherapy, or else a psychological psychotherapist).
The primary care physician diagnosed depression and initiated its treatment. He or she was in regular contact with the care manager to share information about the patient’s course and any necessary changes in the treatment.
A specially trained care manager (of whom there were five overall in the two centers) with years of experience in a health profession supported the treatment by staying in contact with the patient proactively and uninterruptedly. Support was given at intervals ranging from a week to a month, depending on the patient’s needs, and consisted of psychoeducation (about the symptoms and course of the disease, drugs, side effects, etc.), configuring the patient’s activities, relapse prophylaxis, and, where indicated, training in problem-solving. The initial contact took place in the doctor’s practice, and subsequent ones were conducted by telephone.
Control treatment consisted of usual treatment by the primary care physician, i.e., without any involvement of a care manager. Patients in the control group had full access to all care options of the health care system and therefore showed the usual pattern of treatment course.
There were no requirements concerning, or restrictions on, the prescription of drugs for patients in either of the arms of the study.
Recruitment of primary care practices
On the cluster level, primary care practices within a defined radius of the Freiburg and Hamburg city centers were invited to take part in the study.
Patient inclusion and exclusion criteria
Men and women with clinically diagnosed unipolar depression were included in the study. The subjects were aged 60 or older and had moderate depressive manifestations, i.e., a PHQ-9 score of 10 to 14 points (19). Patients with severe depression (>14 points) were excluded; it was recommended that they be referred for secondary (specialized) treatment as recommended by the relevant guidelines. Prerequisites to participation in the study were, in the intervention group, the subject’s ability and willingness to stay in regular personal contact with the care manager over the telephone, and, in both groups, written consent to participation in the study with a total of three written questionnaires.
Patients were excluded if they had a known substance dependency disorder or marked cognitive impairment (e.g., dementia), or if they were already in psychotherapy at the time of their recruitment. Patients with bipolar disorder, psychotic manifestations, severe behavior abnormalities, or suicidality at the time of recruitment were excluded as well.
The main focus of the study was the change in depressive manifestations, as measured by the PHQ-9 (19), over the duration of the study, i.e., one year. The remission of depressive manifestations at twelve months was the principal objective of treatment, and thus the primary endpoint of the study; it was operationalized as a PHQ-9 score below five points (a commonly accepted cutoff value). The secondary endpoints were: treatment response, defined as a reduction of manifestations by at least 50%; dimensional change in manifestations; health-related quality of life, as measured by the EQ-5D-3L index score (20); manifestations of anxiety (Generalized Anxiety Disorder Scale [GAD-7] ); depression-related behavior (modified from Ludman et al. ), problem-solving skills (modified from Bleich and Watzke, unpublished); and resilience (Resilience Scale, short form [RS-13] ).
In the primary, intention-to treat analysis, a mixed-effects logistic regression model was used to compare the percentage of patients in remission twelve months after the start of the intervention.
1963 primary care physicians were contacted by mail from July 2012 to November 2013. Ninety-nine agreed to participate in the study and were allotted to the intervention or the control group, according to the study design. Eighty-seven of these 99 physicians participated in the identification of potential study patients via practice software; in this way, 1505 potential subjects were identified (age and diagnosis noted in the medical record). Ultimately, 248 patients from the practices of 71 primary care physicians were included in the study, and baseline data were acquired from them. Twelve months after the start of the intervention (t2), 210 patients returned a filled-out questionnaire. Reasons for premature withdrawal from the study included changes in the significance of depressive manifestations because of altered somatic health or improved mental health, dissatisfaction with the intervention/the effort it required, or the initiation of psychotherapy. Three patients died during the course of the study for reasons unrelated to study participation (Figure 2).
Description of the study sample
The mean age was 71 years (SD = 7.5 years) (Table 1). Approximately 75% of the patients were women. At baseline (t0), the mean PHQ-9 score in the intervention group was 10.76 points (SD 4.1), while that in the control group was somewhat lower (9.73; SD 3.7). The percentage of patients who lived alone was higher in the intervention group (52.9%) than in the control group (38.9%).
Results: primary endpoint
The adjusted and estimated remission rate in the intervention group was 25.6% (95% confidence interval, [18.3; 32.8]). This was significantly (p = 0.004) higher than the corresponding value in the control group, which was 10.9% [5.4; 16.5]) (Table 2, Figure 3).
Results: secondary endpoints
The rate of response to treatment was higher in the intervention group (22.5% [14.6; 30.5]) than in the control group (10.5% [4.1; 16.9]; p = 0.029). On the level of the estimated mean, lower depressivity scores were found in the intervention group (8.13; [7.42; 8.85]) than in the control group (9.38; [8.79; 9.96]; p = 0.009). The intervention had an effect on quality of life as well (EQ-5D-3L index score, p = 0.005). The adjusted estimated mean value was 0.66 [0.61; 0.70] in the intervention group and 0.57 ([0.52; 0.61]; p = 0.005) in the control group, on a scale from 0 (very poor) to 1 (best possible). Only very slight differences were seen in general manifestations of anxiety, depression-related behavior, individual mental resilience, and problem-solving skills (Table 2).
In the framework of a sensitivity analysis, a per-protocol analysis was additionally computed, in order to investigate the stability of the findings. This analysis revealed the findings to be highly consistent (eTable 1).
Additional analyses of possible differences in treatment revealed that, at all measurement timepoints, approximately half of all patients were being treated with psychoactive drugs. At no timepoint did the two groups differ significantly in this regard (eTable 2). Further analyses of utilization will be carried out as part of the planned health-economic analyses.
In the GermanIMPACT study, the effects of a collaborative approach to the treatment of depression in elderly patients in primary care were studied in a cluster-randomized, controlled trial in comparison to usual treatment. One year after the beginning of treatment, the remission rate in the intervention group was approximately twice as high as in the control group. There was thus a statistically significant and clinically relevant effect on the primary endpoint of the study.
The study was designed according to high scientific standards and was carried out in typical settings of care. Thus, for example, the primary care physician’s assessment and the screening results in the primary care setting were deliberately used for the establishment of the diagnosis of depression and for the checking of inclusion and exclusion criteria, because these procedures ought to be implementable under routine conditions as well (24). The target criteria were also chosen with a view toward high clinical relevance. Remission was chosen as a primary endpoint because it is a central objective of the treatment of depression. The consistency of the findings across the various symptom-relevant target criteria, including quality of life, speak for the robustness of the findings within the study. Moreover, the effect of the intervention cannot be solely due to changes in the frequency of use of psychoactive drugs, as no statistically significant difference was found in this regard.
The limitations of the study include the large percentage of the initially contacted physicians that declined to participate in the study and the low number of subjects recruited among the patients of the participating physicians. It had been expected at the outset that primary care physicians would be more willing to participate, and that a larger number of patients would be recruited per physician’s practice, than later turned out to be the case. In fact, however, both of these rates are in the usual range for studies conducted in realistic primary care settings (25). The large number of participating practices and the low number of patients recruited per practice had a positive effect on the statistical power of the study; as a result, the goal for statistical power that had been initially set during the planning of the study was achieved in the end, despite the relatively small study sample (eBox). Moreover, the number of potential subjects that were identified serves as no more than a rough estimate of the actual recruitment potential, because, for some patients, the documentation of a depressive disorder in the medical record referred to findings of an older date, and was thus of limited informative value as to the current presence or absence of depressive manifestations. Nor was it required or stated that the patients who were identified as potential study subjects actually visited their primary care physician’s practice during the recruitment period. A further limitation arose from the cluster-randomized study design. The number of physicians who did not participate in the identification or inclusion of patients was somewhat higher in the control group than in the intervention group. It seems likely that assignment to the control group (in which no additional intervention was to be provided to the patients) lessened the physicians’ motivation to include patients in the study. Moreover, it is clear that sample bias is more likely to arise in cluster-randomized trials than when randomization is carried out at the level of individual patients; for the purposes of this study, however, the nature of the intervention made it impossible to randomize at the patient level, or to blind the patients to the intervention. Lastly, significant effects were found only for depressive manifestations and for quality of life. Precisely these two endpoints, however, are clearly of the highest relevance for the evaluation of interventions against depression.
As for the size of therapeutic effect, the observed doubling of the rate of remission of depressive manifestations is clearly a clinically relevant result, yet even in the intervention group only about one-quarter of patients achieved a remission. A higher remission rate would have been desirable. It also seems surprising at first sight that the response rate and the remission rate were of comparable size. This is mainly due to the fact that, at baseline (timepoint T0), the patients in both groups had mean scores of approximately 10 points. Starting from this baseline, a reduction by five points is the criterion both for a remission and for a treatment response.
The findings of the GermanIMPACT study are similar to those of the original IMPACT study and its other international replications. In the study of Unnützer et al. (16), 8% of the patients in the control group and one-quarter of the patients in the intervention group were in remission at 12 months (16). The English replication of the study yielded an adjusted mean-value difference of 1.36 PHQ-9 points, which is also in agreement with our findings (26). The Dutch replication yielded remission rates of 6.3% under standard treatment and 20.7% in the intervention group; both of these figures are lower than in our study (27).
Aside from the observed effect of the intervention, its implementability in the German healthcare system is a matter of importance. To assess this, accompanying qualitative studies were carried out among the patients, primary care physicians, care managers, and supervisors. The participating primary care physicians gave the intervention an overall positive rating. The involvement of care managers was described by most of them as a helpful supportive measure that lightens the burden on the physician (28).
In conclusion, this German study, like the other IMPACT studies, revealed a significant benefit of the collaborative care model compared to usual treatment in primary care. This model can thus be regarded as solidly supported by evidence from research. From the perspective of the participating physicians, the collaborative care model represents a major enhancement of care that can markedly lighten the burden on the primary care physician. Complementary investigations from the points of view of the patients, care managers, and supervisors serve to round out the picture (29, 30). The results available to date all imply that the collaborative care model is beneficial. A health-economic assessment that is currently in progress will show whether it is cost-effective in Germany.
Conflict of interest statement
The authors state that they have no conflict of interest.
Manuscript submitted on 28 March 2018, revised version accepted on
9 August 2018.
Translated from the original German by Ethan Taub, M.D.
Dr. phil. Lars P. Hölzel, Dipl.-Psych.
Parkklinik Wiesbaden Schlangenbad
Rheingauer Str. 47
65388 Schlangenbad, Germany
For eReferences please refer to:
eMethods, eBox, eTables:
Z Evidenz Fortbild Qual Im Gesundheitswesen 2018; 134: 42–48.
Parkklinik Wiesbaden Schlangenbad, Schlangenbad: Dr. phil. Lars P. Hölzel, Dipl.-Psych.
Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg: Dr. phil. Christiane Bleich, Dipl.-Psych.: Prof. Dr. phil., Dr. med. Martin Härter, Dipl.-Psych.
Institute of General Medicine, University Medical Center Hamburg-Eppendorf, Hamburg: Sigrid Boczor, PhD; Dr. rer. biol. hum. Thomas Kloppe M.A.: Prof. Dr. med. Martin Scherer
Institute for Health Economics and Health Care Research, University Medical Center Hamburg-Eppendorf, Hamburg: Prof. Dr. med. Hans-Helmut König M.Sc.
Division of General Practice, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg: Prof. Dr. med. Wilhelm Niebling, Iris Tinsel M.A.
Clinic for Gerontopsychiatry and Psychotherapy, Center for Psychiatry, Emmendingen: Prof. Dr. med. Michael Hüll
|1.||Andreas S, Schulz H, Volkert J, et al.: Prevalence of mental disorders in elderly people: the European MentDis_ICF65+ study. Br J Psychiatry J Ment Sci 2017; 210: 125–31 CrossRef MEDLINE|
|2.||Park M, Unützer J: Geriatric depression in primary care. Psychiatr Clin North Am 2011; 34: 469–87 CrossRef MEDLINE PubMed Central|
|3.||Unützer J, Patrick DL, Diehr P, Simon G, Grembowski D, Katon W: Quality adjusted life years in older adults with depressive symptoms and chronic medical disorders. Int Psychogeriatr IPA 2000; 12: 15–33 CrossRef|
|4.||Blazer DG: Depression in late life: review and commentary. J Gerontol A Biol Sci Med Sci 2003; 58: 249–65 CrossRef|
|5.||Schulz R, Drayer RA, Rollman BL: Depression as a risk factor for non-suicide mortality in the elderly. Biol Psychiatry 2002; 52: 205–25 CrossRef|
|6.||Sielk M, Altiner A, Janssen B, Becker N, de Pilars MP, Abholz HH: [Prevalence and diagnosis of depression in primary care. A critical comparison between PHQ-9 and GPs’ judgement]. Psychiatr Prax 2009; 36: 169–74 CrossRef MEDLINE|
|7.||Jacobi F, Höfler M, Meister W, Wittchen HU: [Prevalence, detection and prescribing behavior in depressive syndromes. A German federal family physician study]. Nervenarzt 2002; 73: 651–8 CrossRef MEDLINE|
|8.||Bertelsmann Stiftung: Faktencheck Depression 2016. www.faktencheck-gesundheit.de/de/publikationen/publikation/did/faktencheck-depression/ (last accessed on 19 September 2018).|
|9.||Angermeyer MC, Matschinger H, Carta MG, Schomerus G: Changes in the perception of mental illness stigma in Germany over the last two decades. Eur Psychiatry 2014; 29: 390–5 CrossRef MEDLINE|
|10.||Rabe-Menssen C: Barrieren der Inanspruchnahme von ambulanter Psychotherapie bei älteren Menschen. Psychother Aktuell 2011; 4: 12–6.|
|11.||Glaesmer H, Gunzelmann T, Martin A, Brähler E, Rief W: Die Bedeutung psychischer Beschwerden für die medizinische Inanspruchnahme und das Krankheitsverhalten Älterer. Psychiatr Prax 2008; 35: 187–93 CrossRef MEDLINE|
|12.||Rattay P, Butschalowsky H, Rommel A, et al.: Inanspruchnahme der ambulanten und stationären medizinischen Versorgung in Deutschland: Ergebnisse der Studie zur Gesundheit Erwachsener in Deutschland (DEGS1). Bundesgesundheitsblatt – Gesundheitsforschung – Gesundheitsschutz 2013; 56: 832–44 CrossRef CrossRef MEDLINE|
|13.||Gum AM, Areán PA, Hunkeler E, et al.: Depression treatment preferences in older primary care patients. Gerontologist 2006; 46: 14–22 CrossRef MEDLINE|
|14.||Dwight-Johnson M, Sherbourne CD, Liao D, Wells KB: Treatment preferences among depressed primary care patients. J Gen Intern Med 2000; 15: 527–34 CrossRef PubMed Central|
|15.||Bjerregaard F, Hüll M, Stieglitz RD, Hölzel L: Zeit für Veränderung – Was wir für die hausärztliche Versorgung älterer depressiver Menschen von den USA lernen können. Gesundheitswesen 2018; 80: 34–39 CrossRef MEDLINE|
|16.||Unützer J, Katon W, Callahan CM, et al.: Collaborative care management of late-life depression in the primary care setting: a randomized controlled trial. JAMA J Am Med Assoc 2002; 288: 2836–45 CrossRef|
|17.||Coventry PA, Hudson JL, Kontopantelis E, et al.: Characteristics of effective collaborative care for treatment of depression: a systematic review and meta-regression of 74 randomised controlled trials. PloS One 2014; 9: e108114 CrossRef MEDLINE PubMed Central|
|18.||Wernher I, Bjerregaard F, Tinsel I, et al.: Collaborative treatment of late-life depression in primary care (GermanIMPACT): study protocol of a cluster-randomized controlled trial. Trials 2014; 15: 351 CrossRef MEDLINE PubMed Central|
|19.||Kroenke K, Spitzer RL, Williams JB: The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001; 16: 606–13 CrossRef PubMed Central|
|20.||EuroQol Group: EuroQol—a new facility for the measurement of health-related quality of life. Health Policy Amst Neth 1990; 16: 199–208 CrossRef|
|21.||Spitzer RL, Kroenke K, Williams JBW, Löwe B: A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med 2006; 166: 1092–7 CrossRef MEDLINE|
|22.||Ludman E, Katon W, Bush T, et al.: Behavioural factors associated with symptom outcomes in a primary care-based depression prevention intervention trial. Psychol Med 2003; 33: 1061–70 CrossRef MEDLINE|
|23.||Leppert K, Koch B, Brähler E: Die Resilienzskala (RS) – Überprüfung der Langform RS-25 und einer Kurzform RS-13. Klin Diagn Eval 2008; 2: 226–43.|
|24.||Trautmann S, Beesdo-Baum K: The treatment of depression in primary care. Dtsch Arztebl Int 2017; 114: 721–8 CrossRef|
|25.||Güthlin C: Rekrutierung von Hausarztpraxen für Forschungsprojekte – Erfahrungen aus fünf allgemeinmedizinischen Studien. Recruitment of Family Practitioners for Research – Experiences from Five Studies. Z Für Allg 2012; 88: 173.|
|26.||Richards DA, Hill JJ, Gask L, et al.: Clinical effectiveness of collaborative care for depression in UK primary care (CADET): cluster randomised controlled trial. BMJ 2013; 347: f4913 CrossRef MEDLINE PubMed Central|
|27.||Huijbregts KML, de Jong FJ, van Marwijk HWJ, et al.: A target-driven collaborative care model for major depressive disorder is effective in primary care in the Netherlands. A randomized clinical trial from the depression initiative. J Affect Disord 2013; 146: 328–37 CrossRef MEDLINE|
|28.||Bireckoven MB, Niebling W, Tinsel I: [How do general practitioners evaluate collaborative care of elderly depressed patients? Results of a qualitative study]. Z Evidenz Fortbild Qual Im Gesundheitswesen 2016; 117: 45–55.|
|29.||Kloppe T: Erfolgsfaktoren, Herausforderungen und Hemmnisse in der kollaborativen Versorgung depressiv erkrankter älterer Menschen: Ein qualitativ kontrastierender Fallvergleich der Patientenperspektive zur Evaluation der Studie GermanIMPACT (QualIMP). https://beluga.sub.uni-hamburg.de/vufind/Record/1018457909?rank=2 (last accessed on 19. September .2018)|
|30.||Bjerregaard F, Zech J, Frank F, Stieglitz RD, Hölzel LP: Implementierbarkeit des GermanIMPACT Collaborative Care Programms zur Unterstützung der hausärztlichen Versorgung älterer depressiver Menschen – eine qualitative Interviewstudie. |
Z Evidenz Fortbild Qual Im Gesundheitswesen 2018; 134: 42–48.
|e1.||Hölzel LP, Härter M, Hüll M: Multiprofessionelle ambulante psychosoziale Therapie älterer Patienten mit psychischen Störungen. Nervenarzt 2017; 88: 1227–33 CrossRef MEDLINE|
|e2.||Hüll M, Hölzel LP: IMPACT: kooperative Behandlungsmodelle der Depression. In: Fellgiebel A, Hautzinger M (eds.): Altersdepression. Berlin, Heidelberg: Springer 2017: 301–8.|
|e3.||Bjerregaard F, Hüll M, Stieglitz RD, Hölzel LP: Zeit für Veränderung – Was wir für die hausärztliche Versorgung älterer depressiver Menschen von den USA lernen können. Gesundheitswesen 2018; 80: 34–9 CrossRef MEDLINE|